The DOI matches its Crossref record; 29 of the 31 references it cites were found in a registry or an index; 10 of the 15 sources its claims cite were checked for support.
The burden of heat-related mortality attributable to recent human-induced climate change
Open accessAbstract
Climate change affects human health; however, there have been no large-scale, systematic efforts to quantify the heat-related human health impacts that have already occurred due to climate change. Here, we use empirical data from 732 locations in 43 countries to estimate the mortality burdens associated with the additional heat exposure that has resulted from recent human-induced warming, during the period 1991–2018. Across all study countries, we find that 37.0% (range 20.5–76.3%) of warm-season heat-related deaths can be attributed to anthropogenic climate change and that increased mortality is evident on every continent. Burdens varied geographically but were of the order of dozens to hundreds of deaths per year in many locations. Our findings support the urgent need for more ambitious mitigation and adaptation strategies to minimize the public health impacts of climate change. Current and future climate change is expected to impact human health, both indirectly and directly, through increasing temperatures. Climate change has already had an impact and is responsible for 37% of warm-season heat-related deaths between 1991 and 2018, with increases in mortality observed globally.
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15 Own result · 4 Own method · 3 Sources not found · 3 Own interpretation · 2 Supported · 2 Supported so far · 2 Partly supported · accuracy not yet measured
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“These studies are often conducted in the climate science disciplines and rarely take the additional step of estimating associated human health impacts9–11.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Abstract
What the sources say
- Supportedcites [9] Ebi, K. L., Ogden, N. H., Semenza, J. C. & Woodward, A. Detecting and attributing health burdens to climate change. Environ. Health Perspect. 125, 085004 (2017). source
The Abstract (Background; page not provided) says there have been limited efforts to conduct detection and attribution analyses in health. The Background on Detection and Attribution Methods (page not provided) contrasts this with the long history of such studies in climate science, supporting the claim that they rarely extend to estimating human health impacts. (LLM, conf=0.87)
- Supportedcites [10] Mitchell, D. et al. Attributing human mortality during extreme heat waves to anthropogenic climate change. Environ. Res. Lett. 11, 074006 (2016). source
The Abstract says previous studies attributed the heatwave to human influence on climate or examined its health effects separately, and describes this study as the first to quantify both together in an event-attribution framework. The Introduction likewise describes tracing anthropogenic influence through to human mortality. This supports the claim that attribution studies rarely take the additional health-impact step. (LLM, conf=0.88)
- Not checked — no full text of the sourcecites [11] Christidis, N., Mitchell, D. & Stott, P. A. Anthropogenic climate change and heat effects on health. Int. J. Climatol. 39, 4751–4768 (2019). source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“there was less heat-related mortality in all countries under the counterfactual scenario, with an average estimate of 0.98% (95% CI, 0.26–1.80) across all locations.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Heat-mortality impacts attributed to climate change
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: The exposure-response functions estimated from observed data apply to the modelled temperature series under both scenarios.
- The authors state this as an assumption: The difference in heat-related mortality between factual and counterfactual scenarios represents the proportion of warm-season deaths attributable to human-induced climate change.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“increased mortality is evident on every continent”
- Also stated in: § Heat-mortality impacts attributed to climate change · plain
“Impacts were evident in all of our study countries, which included locations on every inhabited continent”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Abstract
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- The authors state this as an assumption: The counterfactual climate simulations, driven only by natural forcings, approximate a world without human-induced climate change.
- Rests on an assumption: The exposure-response functions estimated from observed data apply to the modelled temperature series under both scenarios.
- The authors state this as an assumption: The difference in heat-related mortality between factual and counterfactual scenarios represents the proportion of warm-season deaths attributable to human-induced climate change.
- Also stated in: § Heat-mortality impacts attributed to climate change · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the country-specific average temperature increase ranged from ~0.5 °C in Argentina to >1 °C in Iran, Kuwait, some countries in South and Central America and North of Europe”
§ The burden of heat-related mortality attributable to recent human-induced climate change > The factual and counterfactual scenarios
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- The authors state this as an assumption: The counterfactual climate simulations, driven only by natural forcings, approximate a world without human-induced climate change.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“indicating a relatively heavy population-level burden in southern and eastern Europe, where rates in several countries are >6 per 100,000 population over the 1991–2018 period compared to the study average of 2.2 per 100,000.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Heat-mortality impacts attributed to climate change
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: The exposure-response functions estimated from observed data apply to the modelled temperature series under both scenarios.
- The authors state this as an assumption: The difference in heat-related mortality between factual and counterfactual scenarios represents the proportion of warm-season deaths attributable to human-induced climate change.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The largest climate change-induced contributions (>50%) were in southern and western Asia (Iran and Kuwait), southeast Asia (Philippines and Thailand) and several countries in Central and South America”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Heat-mortality impacts attributed to climate change
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: The exposure-response functions estimated from observed data apply to the modelled temperature series under both scenarios.
- The authors state this as an assumption: The difference in heat-related mortality between factual and counterfactual scenarios represents the proportion of warm-season deaths attributable to human-induced climate change.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Across all study countries, we find that 37.0% (range 20.5-76.3%) of warm-season heat-related deaths can be attributed to anthropogenic climate change”
- Also stated in: § Heat-mortality impacts attributed to climate change · plain
“The overall estimate is 37.0% but this percentage varied widely across subregions and countries.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Abstract
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- The authors state this as an assumption: The counterfactual climate simulations, driven only by natural forcings, approximate a world without human-induced climate change.
- Rests on an assumption: The exposure-response functions estimated from observed data apply to the modelled temperature series under both scenarios.
- The authors state this as an assumption: The difference in heat-related mortality between factual and counterfactual scenarios represents the proportion of warm-season deaths attributable to human-induced climate change.
- Also stated in: § Heat-mortality impacts attributed to climate change · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Burdens varied geographically but were of the order of dozens to hundreds of deaths per year in many locations.”
- Also stated in: § Heat-mortality impacts attributed to climate change · boosted
“in many locations, the attributable mortality is already on the order of dozens to hundreds of deaths each year”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Abstract
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- The authors state this as an assumption: The counterfactual climate simulations, driven only by natural forcings, approximate a world without human-induced climate change.
- Rests on an assumption: The exposure-response functions estimated from observed data apply to the modelled temperature series under both scenarios.
- The authors state this as an assumption: The difference in heat-related mortality between factual and counterfactual scenarios represents the proportion of warm-season deaths attributable to human-induced climate change.
- Also stated in: § Heat-mortality impacts attributed to climate change · boosted
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Across all locations, heat-related mortality in the factual scenario amounted to an average of 1.56% (95% CI, 0.62–2.41) of all warm-season deaths”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Heat-mortality impacts attributed to climate change
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: The exposure-response functions estimated from observed data apply to the modelled temperature series under both scenarios.
- The authors state this as an assumption: The difference in heat-related mortality between factual and counterfactual scenarios represents the proportion of warm-season deaths attributable to human-induced climate change.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“we were not able to include locations in all world regions—for example, large parts of Africa and South Asia—due to a lack of the empirical data needed to estimate the exposure-response functions.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Heat-mortality impacts attributed to climate change
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Probably not a substantial claim. 6
- The quote only partly states this claim. 2
- It may state two separate claims as one. 12
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Location-specific temperature series were extracted from the gridded products on the basis of the corresponding centroid and bias-corrected following a method described elsewhere19.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > The factual and counterfactual scenarios
What the sources say
- Partly supportedcites [19] Hempel, S., Frieler, K., Warszawski, L., Schewe, J. & Piontek, F. A trend-preserving bias correction—the ISI-MIP approach. Earth Syst. Dynam. 4, 219–236 (2013). sourceExperimental — accuracy not yet measured
Section 3 describes a method for bias-correcting simulated temperature series against observations. The Observations section identifies the reference as WATCH Forcing Data, a gridded observational dataset, not local weather-station data. The citing sentence itself attributes the correction method—not the use of station data—to this source. (LLM, conf=0.88)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The quote only partly states this claim.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“DAMIP is part of the CMIP6 and was specifically designed to allow for the assessment of the individual contributions of various external factors to past and future changes in global and regional climate17,18.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Methods > Description of the factual and counterfactual climate datasets
What the sources say
- Supportedcites [17] Gillett, N. P. et al. The detection and attribution model intercomparison project (DAMIP v1.0) contribution to CMIP6. Geosci. Model Dev. 9, 3685–3697 (2016). source
The Abstract states that DAMIP aims to estimate the contributions of anthropogenic and natural forcings to observed global and regional climate changes. It also describes future single-forcing experiments intended to improve projections of future climate change. The Introduction likewise identifies DAMIP experiments as part of CMIP6. (LLM, conf=0.91)
- Partly supportedcites [18] Gillett, N. P. et al. Constraining human contributions to observed warming since preindustrial. Nat. Clim. Change 11, 207–212 (2021). sourceExperimental — accuracy not yet measured
The ‘Attribution of global mean temperature changes’ section identifies DAMIP as part of CMIP6 and describes experiments separating historical natural, aerosol, and greenhouse-gas forcings. It supports assessing individual contributions to past global temperature change, but does not establish the claimed design purpose for future changes or regional climate. Page numbers are unavailable in our copy. (LLM, conf=0.85)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“These choices that specify the cross-basis and model terms used to control for long-term and seasonal trends were based on related studies from the MCC Collaborative Research Network20,24.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Methods > Description of the epidemiological analysis
What the sources say
- Supportedcites [20] Gasparrini, A. et al. Changes in susceptibility to heat during the summer: a multicountry analysis. Am. J. Epidemiol. 183, 1027–1036 (2016). source
The Methods section identifies this as an analysis of the Multi-Country Multi-City data set and specifies both the cross-basis and the terms controlling seasonal and long-term trends. It therefore supports the citation as an example of a related study using those model choices. (LLM, conf=0.90)
- Supportedcites [24] Gasparrini, A. et al. Temporal variation in heat-mortality associations: a multicountry study. Environ. Health Perspect. 123, 1200–1207 (2015). source
The Methods section (page not specified in our copy) describes the study’s cross-basis specification and its spline terms for controlling seasonal and long-term trends. This makes the cited multicountry study an example of the related modeling choices the citing sentence refers to. (LLM, conf=0.88)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Prior research has demonstrated that heat risks tend to occur quickly after exposure and then disappear within 10 d (ref. 20).”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Location-specific temperature-mortality relationships
What the sources say
- Supportedcites [20] Gasparrini, A. et al. Changes in susceptibility to heat during the summer: a multicountry analysis. Am. J. Epidemiol. 183, 1027–1036 (2016). source
The Results report that excess mortality risk after a hot day generally persists for 4–10 days in early summer, while significant risks in late summer are limited to lags of 0–2 or 0–4 days. This supports the claim that the risk appears soon after exposure and generally disappears within 10 days. (LLM, conf=0.90)
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“An immediate and direct impact of climate change is through human exposure to high outdoor temperatures, which is associated with morbidity and an increased risk of premature death (mortality)2–4.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Abstract
What the sources say
- Supportedcites [2] Gasparrini, A. et al. Mortality risk attributable to high and low ambient temperature: a multicountry observational study. Lancet 386, 369–375 (2015). source
The Introduction reports an association between ambient temperature and both morbidity and mortality, and specifically says high temperatures are associated with increased health risks. The Discussion reports that warmer-than-optimum days contributed to deaths and describes temperature as advancing deaths. (LLM, conf=0.90)
- Not checked — no full text of the sourcecites [3] Hsiang, S. et al. Estimating economic damage from climate change in the United States. Science 356, 1362–1369 (2017). source
- Supportedcites [4] Ye, X. et al. Ambient temperature and morbidity: a review of epidemiological evidence. Environ. Health Perspect. 120, 19–28 (2012). source
The Conclusions and Recommendations report that ambient heat is associated with morbidity. The Major Findings also describe studies showing an immediate increase in mortality after heat exposure. Our copy does not provide page numbers for these passages. (LLM, conf=0.90)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The country-specific estimates ranged from <1% (for example, the USA, Colombia, Sweden, Norway, UK, Japan and South Korea) to >5% in countries of Southern Europe”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Heat-mortality impacts attributed to climate change
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: The exposure-response functions estimated from observed data apply to the modelled temperature series under both scenarios.
- The authors state this as an assumption: The difference in heat-related mortality between factual and counterfactual scenarios represents the proportion of warm-season deaths attributable to human-induced climate change.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Warming is also reflected in the overall temperature difference between scenarios over the study period (1991–2018), with ~0.8 °C increase on average and strong differences across regions of the world”
§ The burden of heat-related mortality attributable to recent human-induced climate change > The factual and counterfactual scenarios
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- The authors state this as an assumption: The counterfactual climate simulations, driven only by natural forcings, approximate a world without human-induced climate change.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Across the 732 locations, the annual average temperature in the warm season in the factual scenario increased from nearly 21.5 °C at the end of the twentieth century to almost 23 °C in the 2010s, whereas in the counterfactual scenario, annual temperatures remained relatively stable at around 21.5 °C”
§ The burden of heat-related mortality attributable to recent human-induced climate change > The factual and counterfactual scenarios
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- The authors state this as an assumption: The counterfactual climate simulations, driven only by natural forcings, approximate a world without human-induced climate change.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The overall estimate that 0.58% (95% CI: 0.24–1.14) of all warm-season deaths are attributable to climate change translates to an average of 9,702 (95% CI, 4,005–19,135) deaths across the 732 locations”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Heat-mortality impacts attributed to climate change
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- The authors state this as an assumption: The counterfactual climate simulations, driven only by natural forcings, approximate a world without human-induced climate change.
- Rests on an assumption: The exposure-response functions estimated from observed data apply to the modelled temperature series under both scenarios.
- The authors state this as an assumption: The difference in heat-related mortality between factual and counterfactual scenarios represents the proportion of warm-season deaths attributable to human-induced climate change.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Heat-related mortality risks ranged from 0.97 to 2.47 but with only 28 of the 732 locations <1.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Location-specific temperature-mortality relationships
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Country-specific estimates (Fig. 4b) show a clear north-south pattern within regions; human-induced climate change attributable deaths are <1% of total deaths for countries in northern subregions of America, Europe and Asia, while larger contributions were observed in southern Europe, southern and western Asia and some countries in southeast Asia and South America.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Heat-mortality impacts attributed to climate change
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: The exposure-response functions estimated from observed data apply to the modelled temperature series under both scenarios.
- The authors state this as an assumption: The difference in heat-related mortality between factual and counterfactual scenarios represents the proportion of warm-season deaths attributable to human-induced climate change.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Larger risks are observed in the European region, in particular the Western and Central area of the continent, while smaller estimates <1.5 were found in most locations in Asia and the Americas.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Location-specific temperature-mortality relationships
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“We obtained empirical confidence intervals corresponding to the 2.5th and 97.5th percentiles of the empirical distribution of the heat-related mortality impacts across coefficients and models.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Methods > Description of the epidemiological analysis
plainn = 1,000- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The quote only partly states this claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We have demonstrated that health burdens from anthropogenic climate change are occurring, are geographically widespread and are non-trivial”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Heat-mortality impacts attributed to climate change
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- The authors state this as an assumption: The counterfactual climate simulations, driven only by natural forcings, approximate a world without human-induced climate change.
- Rests on an assumption: The exposure-response functions estimated from observed data apply to the modelled temperature series under both scenarios.
- The authors state this as an assumption: The difference in heat-related mortality between factual and counterfactual scenarios represents the proportion of warm-season deaths attributable to human-induced climate change.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the wide and heterogeneous geographical scope of our dataset allowed us to assess spatial patterns in the estimated impacts and to identify areas that have already been disproportionately affected.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Heat-mortality impacts attributed to climate change
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“several high-population regions have warmed by >2 °C, while others have experienced relatively little change1.”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Abstract
What the sources say
- Not matchedcites [1] IPCC Special Report on Global Warming of 1.5 °C (eds Masson-Delmotte, V. et al.) (WMO, 2018).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Not matched
In the paper
“The world is now an average of ~1°C above the pre-industrial era”
§ The burden of heat-related mortality attributable to recent human-induced climate change > Abstract
What the sources say
- Not matchedcites [1] IPCC Special Report on Global Warming of 1.5 °C (eds Masson-Delmotte, V. et al.) (WMO, 2018).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
The paper relies on this without support.
No large-scale, systematic studies had already quantified the heat-related health impacts of climate change.
“there have been no large-scale, systematic efforts to quantify the heat-related human health impacts that have already occurred due to climate change.”
The authors state this as an assumption.
The counterfactual climate simulations, driven only by natural forcings, approximate a world without human-induced climate change.
“a counterfactual scenario where climate simulations are driven by natural forcings only, thus approximating the climate that would have occurred in a world without human-induced or anthropogenic climate change16.”
The paper relies on this without support.
The exposure-response functions estimated from observed data apply to the modelled temperature series under both scenarios.
“we used the estimated exposure-response functions to compute the heat-related mortality burden between 1991 and 2018 for each location under two scenarios”
The authors state this as an assumption.
The difference in heat-related mortality between factual and counterfactual scenarios represents the proportion of warm-season deaths attributable to human-induced climate change.
“The difference between the factual and counterfactual scenarios is interpretable as the proportion of total deaths during the warm season attributable to human-induced climate change.”
The paper relies on this without support.
The study is the largest attribution study so far on climate change health impacts.
“To our knowledge, this is the largest attribution study to date on the health impacts of climate change.”
The paper relies on this without support.
The MCC database is the largest consortium of weather and health data assembled so far.
“The observed temperature and mortality data were collected through the Multi-Country Multi-City (MCC) Collaborative Research Network, the largest weather and health data consortium to date (https://mccstudy.lshtm.ac.uk).”
Citations
Cites
Climate change 2007: the physical science basis
Solomon, S., Qin, D., Manning, M., Marquis, M. C., Averyt, K. B., Tignor, M., Miller, H. L., & Chen, Z. (2007) · Cited by 23,398
World map of the Köppen-Geiger climate classification updated
Kottek, M., Grieser, J., Beck, C., Rudolf, B., & Rubel, F. (2006) · Meteorologische Zeitschrift · doi:10.1127/0941-2948/2006/0130 · Cited by 11,456
Paris Agreement climate proposals need a boost to keep warming well below 2 °C
Rogelj, J., den Elzen, M., Höhne, N., Fransen, T., Fekete, H., Winkler, H., Schaeffer, R., Sha, F., Riahi, K., & Meinshausen, M. (2016) · Nature · doi:10.1038/nature18307 · Cited by 3,637
Mortality risk attributable to high and low ambient temperature: a multicountry observational study
Gasparrini, A., Guo, Y., Hashizume, M., Lavigne, E., Zanobetti, A., Schwartz, J., Tobias, A., Tong, S., Rocklöv, J., Forsberg, B., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(14)62114-0 · Cited by 2,965
Self-citationDistributed Lag Linear and Non-Linear Models in R : The Package dlnm
Gasparrini, A. (2011) · Journal of Statistical Software · doi:10.18637/jss.v043.i08 · Cited by 1,714
Self-citationEstimating economic damage from climate change in the United States
Hsiang, S., Kopp, R., Jina, A., Rising, J., Delgado, M., Mohan, S., Rasmussen, D. J., Muir-Wood, R., Wilson, P., Oppenheimer, M., et al. (2017) · Science · doi:10.1126/science.aal4369 · Cited by 1,239
A trend-preserving bias correction – the ISI-MIP approach
Hempel, S., Frieler, K., Warszawski, L., Schewe, J., & Piontek, F. (2013) · Earth System Dynamics · doi:10.5194/esd-4-219-2013 · Cited by 1,238
High ambient temperature and mortality: a review of epidemiologic studies from 2001 to 2008
Basu, R. (2009) · Environmental Health · doi:10.1186/1476-069x-8-40 · Cited by 1,188
Reducing and meta-analysing estimates from distributed lag non-linear models
Gasparrini, A., & Armstrong, B. (2013) · BMC Medical Research Methodology · doi:10.1186/1471-2288-13-1 · Cited by 1,081
Self-citationProjections of temperature-related excess mortality under climate change scenarios
Gasparrini, A., Guo, Y., Sera, F., Vicedo-Cabrera, A. M., Huber, V., Tong, S., de Sousa Zanotti Stagliorio Coelho, M., Nascimento Saldiva, P. H., Lavigne, E., Matus Correa, P., et al. (2017) · The Lancet Planetary Health · doi:10.1016/s2542-5196(17)30156-0 · Cited by 911
Self-citation
Research works printed but not linked: 1
- Cramer, W. et al. in IPCC Climate Change 2014: Impacts, Adaptation, and Vulnerability (eds Field, C. B. et al.) 979–1037 (Cambridge Univ. Press, 2014).
Cited by
Sorted by citations
Items 201–300 of 1,340
Extreme environmental temperatures and motorcycle crashes: a time-series analysis
Sakhvidi, M. J. Z., Yang, J., Mohammadi, D., FallahZadeh, H., Mehrparvar, A. H., Stevenson, M., Basagaña, X., Gasparrini, A., & Dadvand, P. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-21151-8 · Cited by 29
Self-citationThe ecological impact of plastic pollution in a changing climate
Chowdhury, G. W., Koldewey, H. J., Niloy, M. N. H., & Sarker, S. (2022) · Emerging Topics in Life Sciences · doi:10.1042/etls20220016 · Cited by 30
Jha, S., Gudmundsson, L., & Seneviratne, S. I. (2023) · Earth s Future · doi:10.1029/2022ef003315 · Cited by 33
Accelerating climate action: the role of health professionals
Dobson, J., Cook, S., Frumkin, H., Haines, A., & Abbasi, K. A. (2021) · BMJ · doi:10.1136/bmj.n2425 · Cited by 29
Self-citationOperational extreme weather event attribution can quantify climate change loss and damages
Wehner, M. F., & Reed, K. A. (2022) · PLOS Climate · doi:10.1371/journal.pclm.0000013 · Cited by 27
Climate change: the next game changer for sport and exercise psychology
Bernard, P., Chevance, G., Kingsbury, C., Gadais, T., Dancause, K. N., Villarino, R. T., & Romain, A. J. (2022) · German Journal of Exercise and Sport Research · doi:10.1007/s12662-022-00819-w · Cited by 25
“It is estimated that between 1991 and 2018, human-induced climate change accounted for an increase of 37% in health-related mortality around the world (Vicedo-Cabrera et al., 2021).”
BackgroundLiu, H., Tong, M., Guo, F., Nie, Q., Li, J., Li, P., Zhu, T., & Xue, T. (2022) · Environment International · doi:10.1016/j.envint.2022.107520 · Cited by 29
Ragettli, M. S., Saucy, A., Flückiger, B., Vienneau, D., de Hoogh, K., Vicedo‐Cabrera, A. M., Schindler, C., & Röösli, M. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20064958 · Cited by 27
Self-citationGupta, S., Couillard, S., Digby, G. C., Tse, S. M., Green, S., Aceron, R., Carlsten, C., Hubick, J., & Penz, E. D. (2023) · Canadian Journal of Respiratory Critical Care and Sleep Medicine · doi:10.1080/24745332.2023.2254283 · Cited by 29
“…crisis deepens, patients who experience respiratory illness are at particular risk of poor health, 2 including through heat waves and particulate air pollution, 3,4 which increase symptoms, exacerbations and healthcare utilization in both asthma and chronic obstructive pulmonary disease (COPD).”
BackgroundUneven evolution of regional European summer heatwaves under climate change
Khodayar, S., & Paredes‐Fortuny, L. (2024) · Weather and Climate Extremes · doi:10.1016/j.wace.2024.100648 · Cited by 35
The energy quadrilemma challenges - Insights from the decentralized energy transition in Brazil
Lázaro, L. L. B., & Soares, R. S. (2024) · Energy Research & Social Science · doi:10.1016/j.erss.2024.103533 · Cited by 27
Extreme events impact attribution: A state of the art
Noy, I., Stone, D. A., & Uher, T. (2024) · Cell Reports Sustainability · doi:10.1016/j.crsus.2024.100101 · Cited by 30
Rainfall events and daily mortality across 645 global locations: two stage time series analysis
He, C., Breitner, S., Huber, V., Chen, K., Zhang, S., Gasparrini, A., Bell, M. L., Kan, H., Royé, D., Armstrong, B., et al. (2024) · BMJ · doi:10.1136/bmj-2024-080944 · Cited by 27
“26 44 45 This approach follows the methods detailed in previous studies, 43 45 ensuring consistency and comparability in our analysis.”
Self-citationRegional-specific trends of PM2.5 and O3 temperature sensitivity in the United States
Yin, L., Bai, B., Zhang, B., Zhu, Q., Di, Q., Réquia, W. J., Schwartz, J. D., Shi, L., & Liu, P. F. (2025) · npj Climate and Atmospheric Science · doi:10.1038/s41612-024-00862-4 · Cited by 33
Self-citationHealth losses attributed to anthropogenic climate change
Carlson, C. J., Mitchell, D., Gibb, R., Stuart-Smith, R. F., Carleton, T. A., Lavelle, T. E., Lippi, C. A., Lukas-Sithole, M., North, M. A., Ryan, S. J., et al. (2025) · Nature Climate Change · doi:10.1038/s41558-025-02399-7 · Cited by 32
“https://doi.org/10.1038/s41558-025-02399-7 be equivalent to a loss of US$869.3 billion (unadjusted: US$3.1 trillion) 11 .”
InfluentialShih, W.-Y., Lung, S. C., & Hu, S. (2022) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2022.102799 · Cited by 29
Jiang, L., Zhang, J., Liu, Q., Meng, X., Shi, L., Zhang, D., & Xing, M. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.137201 · Cited by 26
Ke, D., Takahashi, K., Takakura, J., Takara, K., & Kamranzad, B. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.162283 · Cited by 26
City-level resilience to extreme weather shocks revealed by satellite nighttime lights in China
Hu, L., Meng, J., Xiong, C., Fang, W., Yang, J., Liu, M., Bi, J., & Ma, Z. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.105167 · Cited by 28
The risk of concurrent heatwaves and extreme sea levels along the global coastline is increasing
Zhou, M., & Wang, S. (2024) · Communications Earth & Environment · doi:10.1038/s43247-024-01274-1 · Cited by 25
Quijal-Zamorano, M., Martínez‐Beneito, M. A., Ballester, J., & Marí-Dell’Olmo, M. (2024) · International Journal of Epidemiology · doi:10.1093/ije/dyae061 · Cited by 30
High-resolution modeling and projection of heat-related mortality in Germany under climate change
Wang, J., Nikolaou, N., der Heiden, M. A., & Irrgang, C. (2024) · Communications Medicine · doi:10.1038/s43856-024-00643-3 · Cited by 27
Climate change and energy poverty: Evidence from China
Wu, S. Y., Hu, F., & Zhang, Z. (2024) · World Development · doi:10.1016/j.worlddev.2024.106826 · Cited by 26
Scoping review on assessing climate-sensitive health risks
Yenew, C., Bayeh, G. M., Gebeyehu, A. A., Enawgaw, A. S., Asmare, Z. A., Ejigu, A. G., Tsega, T. D., Temesgen, A., Anteneh, R. M., Yigzaw, Z. A., et al. (2025) · BMC Public Health · doi:10.1186/s12889-025-22148-x · Cited by 36
“Ultimately, the model’s results could guide policy decisions, emphasizing the need for climate adaptation strategies and public health interventions to protect vulnerable populations and mitigate the effects of extreme heat in the coming decades [100].”
Siddiqui, S. A., Thiam, S. A., Houndodjade, C., Murage, P., & Bonell, A. (2025) · Environmental Research · doi:10.1016/j.envres.2025.121980 · Cited by 28
Wu, X., Wang, J., Ge, Y., Lai, S., Zhang, D., Ren, Z., & Wang, J. (2025) · Nature Communications · doi:10.1038/s41467-025-62871-y · Cited by 34
“Consistentwithprevious studies 35,36,51 , countries with the highest heat-related mortality include Italy, Spain, and Greece.”
Flückiger, B., Kloog, I., Ragettli, M. S., Eeftens, M., Röösli, M., & de Hoogh, K. (2022) · International Journal of Climatology · doi:10.1002/joc.7597 · Cited by 26
Self-citationProjected impact of heat on mortality and labour productivity under climate change in Switzerland
Stalhandske, Z., Nesa, V., Zumwald, M., Ragettli, M. S., Galimshina, A., Holthausen, N., Röösli, M., & Bresch, D. N. (2022) · Natural hazards and earth system sciences · doi:10.5194/nhess-22-2531-2022 · Cited by 30
Self-citationExtreme Temperature and Mortality by Educational Attainment in Spain, 2012–2018
Keivabu, R. C. (2022) · European Journal of Population / Revue européenne de Démographie · doi:10.1007/s10680-022-09641-4 · Cited by 29
A multi-method framework for global real-time climate attribution
Gilford, D. M., Pershing, A. J., Strauss, B., Haustein, K., & Otto, F. E. L. (2022) · Advances in statistical climatology, meteorology and oceanography · doi:10.5194/ascmo-8-135-2022 · Cited by 26
“…physical changes to human influences on the climate system, there is a growing and vital body of literature now attributing heat-related illness (Vicedo-Cabrera et al., 2021; Mitchell, 2021; PerkinsKirkpatrick et al., 2022) and economic damages from extreme weather (Strauss et al., 2021).”
BackgroundNi, W., Nikolaou, N., Ward-Caviness, C. K., Breitner, S., Wolf, K., Zhang, S., Wilson, R., Waldenberger, M., Peters, A., & Schneider, A. E. (2023) · Environment International · doi:10.1016/j.envint.2023.108109 · Cited by 28
Self-citationHoffmann, J., Bauer, A., & Großmann, R. (2023) · BMJ Global Health · doi:10.1136/bmjgh-2023-012754 · Cited by 24
Widespread outdoor exposure to uncompensable heat stress with warming
Fan, Y., & McColl, K. A. (2024) · Communications Earth & Environment · doi:10.1038/s43247-024-01930-6 · Cited by 25
“A growing number of empirical relationships 5,10,11,13,14 and diagnostic indices (e.g., wet-bulb globe temperature (WBGT) 15 – 18 ) are used to link observed climatic conditions or index values from instruments to epide-miologicdataonheatillness 3,4 .”
Puga-Bonilla, M., García, D. H., Rezapouraghdam, H., & Bolivar, F. J. L. (2025) · Sustainable Cities and Society · doi:10.1016/j.scs.2025.106189 · Cited by 23
Temperature extremes impact mortality and morbidity differently
Gould, C. F., Heft‐Neal, S., Heaney, A. K., Bendavid, E., Callahan, C. W., Kiang, M. V., Zivin, J. G., & Burke, M. (2025) · Science Advances · doi:10.1126/sciadv.adr3070 · Cited by 28
“We then aggregated exposures within nine equally spaced bins: < 6 ° C, [6-10), [10-14), [14-18), [18-22), [22-26), [26-30), [30-34), or > 34 ° C.”
Future Changes in African Heatwaves and Their Drivers at the Convective Scale
Birch, C. E., Jackson, L., Finney, D., Marsham, J. H., Stratton, R. A., Tucker, S. O., Chapman, S., Senior, C. A., Keane, R. J., Guichard, F., et al. (2022) · Journal of Climate · doi:10.1175/jcli-d-21-0790.1 · Cited by 25
Methods for Quantifying, Projecting, and Managing the Health Risks of Climate Change
Ebi, K. L. (2022) · NEJM Evidence · doi:10.1056/evidra2200002 · Cited by 24
Jenkins, K., Kennedy-Asser, A. T., Andrews, O., & Lo, Y. T. E. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/ac9cf3 · Cited by 24
“Globally, 37% of warm-season heat-related deaths during 1991–2018 have been attributed to anthropogenic climate change, with increased heatrelated mortality seen on every continent [9].”
BackgroundMitigating climate change to alleviate economic inequality under the Paris Agreement
Tang, Y., Duan, H., & Yu, S. (2022) · iScience · doi:10.1016/j.isci.2022.105734 · Cited by 24
Reliance on fossil fuels: ethical implications for intensivists
Koch, S., & Klitzman, R. (2023) · Intensive Care Medicine · doi:10.1007/s00134-023-06994-0 · Cited by 24
“3%) of warm-season heat-related deaths [8].”
Li, W., Liu, C., Ho, H. C., et al. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.163518 · Cited by 24
He, C., Yin, P., Chen, R., Gao, Y., Liu, W., Schneider, A. E., Bell, M. L., Kan, H., & Zhou, M. (2023) · Environment International · doi:10.1016/j.envint.2023.108231 · Cited by 27
Self-citationHealth Risks to the Russian Population from Temperature Extremes at the Beginning of the XXI Century
Grigorieva, E. A., & Revich, B. (2021) · Atmosphere · doi:10.3390/atmos12101331 · Cited by 29
Trends in tropical nights and their effects on mortality in Switzerland across 50 years
Rippstein, V., de Schrijver, E., Eckert, S., & Vicedo‐Cabrera, A. M. (2023) · PLOS Climate · doi:10.1371/journal.pclm.0000162 · Cited by 29
Self-citationExcess Mortality Risk Due to Heat Stress in Different Climatic Zones of India
Choudhary, R. K., Joshi, P., Ghosh, S., Ganguly, D., Balakrishnan, K., Singh, N., Mall, R. K., Kumar, A., & Dey, S. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.3c05218 · Cited by 27
Zhou, L., Liu, C., He, C., Lei, J., Zhu, Y., Gao, Y., Xuan, J., Kan, H., & Chen, R. (2024) · Environmental Health Perspectives · doi:10.1289/ehp14057 · Cited by 25
“20 Nonetheless, few studies have attempted to investigate how human activities a ff ect heat-related hospitalization, particularly for research speci fi cally within the fi eld of injury epidemiology.”
Self-citationProspective sectoral GHG benchmarks based on corporate climate mitigation targets
Bolay, A.-F., Bjørn, A., Weber, O., & Margni, M. D. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.134220 · Cited by 24
Passive mitigation of overheating in Finnish apartments under current and future climates
Sukanen, H., Taylor, J., Castaño-Rosa, R., Pelsmakers, S., Lehtinen, T., & Kaasalainen, T. (2023) · Indoor and Built Environment · doi:10.1177/1420326x231160977 · Cited by 24
Diffusion capacity of single and interconnected networks
Schieber, T. A., Carpi, L. C., Pardalos, P. M., Masoller, C., Dı́az-Guilera, A., & Ravetti, M. G. (2023) · Nature Communications · doi:10.1038/s41467-023-37323-0 · Cited by 22
Muñoz-Pizza, D. M., Sánchez-Rodríguez, R., & Gonzalez-Manzano, E. (2023) · Urban Climate · doi:10.1016/j.uclim.2023.101674 · Cited by 29
Gagné, M. E., Karanikas, A., Green, S., & Gupta, S. (2023) · BMJ Open Respiratory Research · doi:10.1136/bmjresp-2023-001716 · Cited by 25
“9 Climate change drives heat waves 10 and increases in particulate matter 11 (including through forest fires 12 ) both of which are associated with increased symptoms, exacerbations and healthcare usage in asthma 13 and COPD.”
Mika Kivimaki, B., Batty, G. D., Pentti, J., Suomi, J., Nyberg, S. T., Merikanto, J., Nordling, K., Ervasti, J. M., Suominen, S., Partanen, A., et al. (2023) · Environmental Health Perspectives · doi:10.1289/ehp12080 · Cited by 24
“18,19 To evaluate the uncertainty in warming trends of the sustainable development and fossil-fueled scenarios, we predicted mortality burden separately for 0 (cid:1) C and 1 (cid:1) C increases in temperature per decade.”
Wicki, B., Flückiger, B., Vienneau, D., de Hoogh, K., Röösli, M., & Ragettli, M. S. (2024) · Environmental Research · doi:10.1016/j.envres.2024.118116 · Cited by 23
Self-citationThe Development and Characteristics of Planetary Health in Medical Education: A Scoping Review
Visser, E. H., Oosterveld, B., Slootweg, I. A., Vos, H. M. M., Adriaanse, M. A., Schoones, J. W., & Brakema, E. A. (2024) · Academic Medicine · doi:10.1097/acm.0000000000005796 · Cited by 23
Climate change impacts on livestock in Brazil
Ferreira, N. C. R., Andrade, R. R., & Ferreira, L. N. (2024) · International Journal of Biometeorology · doi:10.1007/s00484-024-02778-3 · Cited by 22
dos Santos, D. M., de Oliveira, A. M., Duarte, E. S. F., Rodrigues, J. A., Menezes, L. S., Albuquerque, R., Roque, F. D. O., Peres, L. F., Hoelzemann, J. J., & Libonati, R. (2024) · npj natural hazards. · doi:10.1038/s44304-024-00031-w · Cited by 26
“Regarding extreme heat, 37.0% of warm-season heat-related deaths globally can be attributed to current human-induced climate change, reaching 60% in Brazil 17 .”
InfluentialQian, J., Zhang, L., Schlink, U., Hu, X., Meng, Q., & Gao, J. (2025) · Urban Climate · doi:10.1016/j.uclim.2025.102306 · Cited by 23
Huang, J., Huang, Z., & Liu, W. (2025) · Sustainable Cities and Society · doi:10.1016/j.scs.2025.106252 · Cited by 22
Frequent land-ocean transboundary migration of tropical heatwaves under climate change
Gu, X., Jiang, Z., Guan, Y., Luo, M., Li, J., Wang, L., Zhang, X., Kong, D., & Wang, L. (2025) · Nature Communications · doi:10.1038/s41467-025-58586-9 · Cited by 31
Li, Y., Chen, J., Wang, C., Wang, W., Fu, Y., Xu, C., Zhang, R., Pan, A., Ho, T. C., Lin, K., et al. (2025) · Applied Energy · doi:10.1016/j.apenergy.2025.126138 · Cited by 29
Hu, Q., Tang, J., Gao, X., Wang, S., Zhang, D., Qin, Y., Wang, Q., Zhou, Y., Huang, N., Peñuelas, J., et al. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104453 · Cited by 24
McGarr, G. W., Meade, R. D., & Kenny, G. P. (2023) · Physiology & Behavior · doi:10.1016/j.physbeh.2023.114335 · Cited by 23
Closer limits to human tolerance of global heat
Sherwood, S. C., & Ramsay, E. E. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2316003120 · Cited by 23
Understanding the Magnification of Heatwaves over Spain: Relevant changes in the most extreme events
Paredes‐Fortuny, L., & Khodayar, S. (2023) · Weather and Climate Extremes · doi:10.1016/j.wace.2023.100631 · Cited by 22
Parums, D. V. (2024) · Medical Science Monitor · doi:10.12659/msm.945763 · Cited by 23
“%) of warm-season deaths were associated with the effects of heat but with geographical variations [36].”
BackgroundHeat impacts on human health in the Western Pacific Region: an umbrella review
Lo, Y. T. E., Vosper, E., Higgins, J. P. T., & Howard, G. (2023) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2023.100952 · Cited by 21
Vulnerable to heat stress: gaps in international standard metric thresholds
Brimicombe, C., Gao, C., & Otto, I. M. (2024) · International Journal of Biometeorology · doi:10.1007/s00484-024-02783-6 · Cited by 24
“Nearly one in three heatwave deaths can be attributed to climate change (Vicedo-Cabrera et al. 2021).”
Mortality burden attributed to anthropogenic warming during Europe’s 2022 record-breaking summer
Beck, T. M., Schumacher, D. L., Achebak, H., Vicedo‐Cabrera, A. M., Seneviratne, S. I., & Ballester, J. (2024) · npj Climate and Atmospheric Science · doi:10.1038/s41612-024-00783-2 · Cited by 30
“Compared with previous studies, we note that the estimated 65% of climate change-attributable heat-related mortality for Switzerland (Table S2) is consistent with the 60% estimate obtained in recent work by Vicedo-Cabrera et al. 8 .”
InfluentialSelf-citationInequitable distribution of risks associated with occupational heat exposure driven by trade
Li, M., Meng, B., Geng, Y., Tong, F., Gao, Y., Yamano, N., Lim, S., Guilhoto, J. J. M., Uno, K., & Chen, X. (2025) · Nature Communications · doi:10.1038/s41467-024-55483-5 · Cited by 28
“1, 2).”
Kustura, K., Conti, D., Sammer, M., & Riffler, M. (2025) · Remote Sensing · doi:10.3390/rs17020318 · Cited by 22
Large reductions in tropical bird abundance attributable to heat extreme intensification
Kotz, M., Amano, T., & Watson, J. E. M. (2025) · Nature Ecology & Evolution · doi:10.1038/s41559-025-02811-7 · Cited by 29
“The comparison between historical and no-climate change counterfactuals is a widely used and established approach for the attribution of climate impacts in both economic 63,64 and health contexts 65,66 , which we applied here to an ecological context.”
Communicating Statistics on the Health Effects of Climate Change
Peters, E. M., & Salas, R. N. (2022) · New England Journal of Medicine · doi:10.1056/nejmp2201801 · Cited by 21
Epochal turns: Uncomfortable insights, uncertain outlooks
Spangenberg, J. H., & Kurz, R. (2023) · Sustainable Development · doi:10.1002/sd.2512 · Cited by 21
Wibowo, R., Do, V., Quartucci, C., Koller, D., Daanen, H. A. M., Nowak, D., Böse‐O’Reilly, S., & Rakete, S. (2023) · International Archives of Occupational and Environmental Health · doi:10.1007/s00420-023-02022-2 · Cited by 21
“Multiple studies have shown that long-term exposure to heat reduces the work capacity and increase mortality rates within the general population (Rowell 1974; Arbury et al. 2014; Steul et al. 2018; an der Heiden et al. 2019; Bisolli et al. 2019; Vicedo-Cabrera et al. 2021).”
Enhancing health resilience in Japan in a changing climate
Kim, Y., Oka, K., Kawazu, E. C., Ng, C. F. S., Seposo, X., Ueda, K., Hashizume, M., & Honda, Y. (2023) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2023.100970 · Cited by 21
“21 Another study indicated a substantial rise in heatwave exposure, particularly among vulnerable populations aged 65 and above, with Japan representing a major portion of the concerning trend.”
BackgroundSelf-citationEvaluating Japan’s revised heat-health warning system in the face of recent escalating heat stress
Guo, Q., Yuan, L., Ng, C. F. S., & Hashizume, M. (2024) · Environmental Research Letters · doi:10.1088/1748-9326/ad3a81 · Cited by 21
Self-citationZhu, Q., Zhou, M., Sakhvidi, M. J. Z., Yang, S., Chen, S., Feng, P., Chen, Z., Xu, Z., Liu, Q., & Yang, J. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105119 · Cited by 21
Temperature and fertility: Evidence from Spain
Keivabu, R. C., Cozzani, M., & Wilde, J. (2024) · Population Studies · doi:10.1080/00324728.2024.2382152 · Cited by 20
“…some studies have adopted relative measures of temperature exposure, using, for example, deviations from the local mean temperature of a location or temperature bins based on the percentile distribution of local temperatures (Vicedo-Cabrera et al. 2021; Conte Keivabu 2022; Masiero et al. 2022).”
Basagaña, X., & Ballester, J. (2024) · The Lancet Planetary Health · doi:10.1016/s2542-5196(24)00212-2 · Cited by 20
Accelerated shifts from heatwaves to heavy rainfall in a changing climate
Li, J., Wang, S., Zhu, J., Wang, D., & Zhao, T. (2025) · npj Climate and Atmospheric Science · doi:10.1038/s41612-025-01113-w · Cited by 26
The attribution of human health outcomes to climate change: transdisciplinary practical guidance
Ebi, K. L., Haines, A., Andrade, R. F. S., Åström, C., Barreto, M. L., Bonell, A., Bowen, K., Brink, N. B., Caminade, C., Carlson, C. J., et al. (2025) · Climatic Change · doi:10.1007/s10584-025-03976-7 · Cited by 24
“…wildfires, agriculture, hydrological change, and health (e.g., Uhe et al. 2021 ; Mitchell et al. 2016 ; Ebi et al. 2017, 2020 ; Dasgupta and Robinson 2022 ; Romanovska et al. 2024 ; Burton et al. 2024 ; Gibb et al. 2023 ; Vicedo-Cabrera et al. 2021, 2023 ; Stuart-Smith et al. n.d. in review).”
Self-citationProjected risks associated with heat stress in the UK Climate Projections (UKCP18)
Kennedy-Asser, A. T., Owen, G. E., Griffith, G. J., Andrews, O., Lo, Y. T. E., Mitchell, D., Jenkins, K., & Warren, R. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/ac541a · Cited by 21
Sociodemographic Factors Associated with Heatwave Risk Perception in the United States
Schoessow, F., Li, Y., Marlon, J. R., Leiserowitz, A., & Howe, P. D. (2022) · Weather Climate and Society · doi:10.1175/wcas-d-21-0104.1 · Cited by 20
Shrikhande, S. S., Pedder, H., Röösli, M., Dalvie, M. A., Lakshmanasamy, R., Gasparrini, A., Utzinger, J., & Cissé, G. (2023) · BMC Public Health · doi:10.1186/s12889-023-15128-6 · Cited by 19
“The association between temperature-CVDs also varies by region and latitude, with different regions within a country reporting different relationships [16, 33, 46, 61].”
BackgroundMethodSelf-citationParker, E. B., Bluman, A. H., Pruneski, J. A., Soens, W., Bernstein, A. S., Smith, J. T., & Bluman, E. M. (2023) · Clinical Orthopaedics and Related Research · doi:10.1097/corr.0000000000002764 · Cited by 20
“Nonetheless, prior studies [27, 34, 48] describing the health damage caused by carbon emissions and climate change give us a starting point for thinking about how to weigh the bene fi ts of in-person attendance against the potential implications for human health.”
BackgroundGray, C., & Thiede, B. C. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2311567121 · Cited by 26
“In turn, these impacts are likely to undermine population health (7, 8) and increase population movements (9), with vulnerable groups such as women, children, and the poor likely to be the most affected (10).”
Wang, Y., Li, C., Zhao, S., Wei, Y., Li, K., Jiang, X., Ho, J., Ran, J., Han, L., Zee, B. C.-Y., et al. (2024) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0012158 · Cited by 24
Xue, L., Doan, Q., Kusaka, H., He, C., & Chen, F. (2024) · Journal of Geophysical Research Atmospheres · doi:10.1029/2023jd040531 · Cited by 28
“In addition, there is an increase in heat‐ related mortality and morbidity associated with the UHI effect (Baccini et al., 2008; N. D. Tran et al., 2018; V. T. Nguyen et al., 2022; Vicedo‐Cabrera et al., 2021).”
BackgroundGasparrini, A., Vicedo-Cabrera, A. M., & Tobías, A. (2024) · Environmental Epidemiology · doi:10.1097/ee9.0000000000000339 · Cited by 23
“66 Two studies projected potential future changes in seasonal mortality and excess deaths due to short-term exposure to ozone, respectively.”
BackgroundSelf-citationChapter 15 : Human Health. Fifth National Climate Assessment
Hayden, M. H., Schramm, P. J., Beard, C. B., Bell, J. E., Bernstein, A. S., Bieniek-Tobasco, A., Cooley, N., Diuk‐Wasser, M. A., Dorsey, M. K., Ebi, K. L., et al. (2023) · doi:10.7930/nca5.2023.ch15 · Cited by 28
The thermal environmental effects of changes in urban green space: A mesoscale modelling perspective
Deng, X., Cao, Q., Wang, L., et al. (2024) · Applied Geography · doi:10.1016/j.apgeog.2024.103338 · Cited by 19
Royé, D., Sera, F., Tobı́as, A., Hashizume, M., Honda, Y., Kim, H., Vicedo-Cabrera, A. M., Tong, S., Lavigne, É., Kyselý, J., et al. (2025) · Environment International · doi:10.1016/j.envint.2025.109719 · Cited by 19
Self-citationCompound climate-pollution extremes in Santiago de Chile
Feron, S. C., Cordero, R. R., Damiani, A., Oyola, P., Ansari, T. U., Pedemonte, J. C., Wang, C., Ouyang, Z., & Gallo, V. (2023) · Scientific Reports · doi:10.1038/s41598-023-33890-w · Cited by 22
A Call to Action for Gender Equity in Climate Leadership
Wray, B., Veidis, E. M., Flores, E. C., Phillips, A. A., Alani, O., & Barry, M. (2023) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.22-0674 · Cited by 22
“Heat The relationship between heatwaves and human morbidity and mortality is well established.(63) This is especially the case in lower-income countries, which bear a greater burden of extreme heat events and drought.”
BackgroundFuture changes in heatwaves characteristics in Romania
Antonescu, B., Ene, D., Boldeanu, M., Andrei, S., Mărmureanu, L., Marin, C. A., & Pîrloagă, R. (2023) · Theoretical and Applied Climatology · doi:10.1007/s00704-023-04412-5 · Cited by 22
“For example, Vicedo-Cabrera et al. (2021) using data collected from 43 countries between 1991 and 2018 showed that climate change has increased the mortality associated with hot temperature extreme events by 37%.”
BackgroundMethodInfluentialMcGarr, G. W., Meade, R. D., Notley, S. R., Akerman, A. P., Richards, B. J., McCourt, E. R., King, K. E., McCormick, J. J., Boulay, P., Sigal, R. J., et al. (2023) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00740.2023 · Cited by 20
Park, B. J., Lee, D. K., Yun, S. H., Kim, E. S., Lee, J. H., & Kim, S. H. (2024) · Urban forestry & urban greening · doi:10.1016/j.ufug.2024.128305 · Cited by 20
Ionita-Scholz, M., Vaideanu, P. C., Antonescu, B., Roibu, C.-C., Ma, Q., & Nagavciuc, V. (2024) · Natural hazards and earth system sciences · doi:10.5194/nhess-24-4683-2024 · Cited by 19
Challenges and opportunities for plant viruses under a climate change scenario
Montes, N. G., & Pagán, I. (2022) · Advances in virus research · doi:10.1016/bs.aivir.2022.08.001 · Cited by 19
Rapid increase in the risk of heat-related mortalityPreprint
Lüthi, S., Fairless, C., Fischer, E. M., Scovronick, N., Armstrong, B., Coêlho, M. D. S. Z. S., Guo, Y. L., Guo, Y., Honda, Y., Huber, V., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-2190946/v1 · Cited by 19
Self-citation
Metadata
- Authors
- Vicedo-Cabrera, A. M., Scovronick, N., Sera, F., Royé, D., Schneider, R., Tobias, A., Astrom, C., Guo, Y., Honda, Y., Hondula, D. M., Abrutzky, R., Tong, S., Coelho, M. D. S. Z. S., Saldiva, P. H. N., Lavigne, E., Correa, P. M., Ortega, N. V., Kan, H., Osorio, S., Kyselý, J., Urban, A., Orru, H., Indermitte, E., Jaakkola, J. J. K., Ryti, N., Pascal, M., Schneider, A., Katsouyanni, K., Samoli, E., Mayvaneh, F., Entezari, A., Goodman, P., Zeka, A., Michelozzi, P., de’Donato, F., Hashizume, M., Alahmad, B., Diaz, M. H., Valencia, C. D. L. C., Overcenco, A., Houthuijs, D., Ameling, C., Rao, S., Di Ruscio, F., Carrasco-Escobar, G., Seposo, X., Silva, S., Madureira, J., Holobaca, I. H., Fratianni, S., Acquaotta, F., Kim, H., Lee, W., Iniguez, C., Forsberg, B., Ragettli, M. S., Guo, Y. L. L., Chen, B. Y., Li, S., Armstrong, B., Aleman, A., Zanobetti, A., Schwartz, J., Dang, T. N., Dung, D. V., Gillett, N., Haines, A., Mengel, M., Huber, V., & Gasparrini, A.
- Affiliations
- University of Bern (CH)
- Emory University (US)
- London School of Hygiene & Tropical Medicine (GB)
- Universidade de Santiago de Compostela (ES)
- European Centre for Medium-Range Weather Forecasts (GB)
- University of Tsukuba (JP)
- Arizona State University (US)
- Universidad de Buenos Aires (AR)
- Queensland University of Technology (AU)
- Universidade de São Paulo (BR)
- Universidad de Los Andes, Chile (CL)
- Fudan University (CN)
- Czech University of Life Sciences Prague (CZ)
- University of Tartu (EE)
- Finnish Meteorological Institute (FI)
- University of Oulu (FI)
- Santé Publique France (FR)
- National and Kapodistrian University of Athens (GR)
- Hakim Sabzevari University (IR)
- Technological University Dublin (IE)
- Brunel University of London (GB)
- Regione Lazio (IT)
- The University of Tokyo (JP)
- Harvard University (US)
- Instituto Nacional de Salud Pública (MX)
- National Institute for Public Health and the Environment (NL)
- Norwegian Institute of Public Health (NO)
- Kyoto University (JP)
- National Institute of Health Dr. Ricardo Jorge (PT)
- Universidade do Porto (PT)
- University of Turin (IT)
- Seoul National University (KR)
- Umeå University (SE)
- Swiss Tropical and Public Health Institute (CH)
- National Health Research Institutes (TW)
- Universidad de la República de Uruguay (UY)
- University of Medicine and Pharmacy at Ho Chi Minh City (VN)
- Environment and Climate Change Canada (CA)
- European Space Agency (FR)
- Potsdam Institute for Climate Impact Research (DE)
- Corresponding author
- Vicedo-Cabrera, A. M.
- Gasparrini, A.
- ORCID
- Vicedo-Cabrera, A. M.
- Scovronick, N.
- Sera, F.
- Royé, D.
- Schneider, R.
- Guo, Y.
- Honda, Y.
- Hondula, D. M.
- Abrutzky, R.
- Tong, S.
- Coelho, M. de Sousa Zanotti Stagliorio
- Saldiva, P. H. Nascimento
- Correa, P. Matus
- Ortega, N. Valdes
- Kan, H.
- Osorio, S.
- Kyselý, J.
- Urban, A.
- Orru, H.
- Indermitte, E.
- Jaakkola, J. J. K.
- Ryti, N.
- Pascal, M.
- Schneider, A.
- Katsouyanni, K.
- Samoli, E.
- Mayvaneh, F.
- Entezari, A.
- Goodman, P.
- Zeka, A.
- Michelozzi, P.
- Hashizume, M.
- Alahmad, B.
- Diaz, M. Hurtado
- Valencia, C. De La Cruz
- Overcenco, A.
- Houthuijs, D.
- Rao, S.
- Carrasco-Escobar, G.
- Seposo, X.
- Silva, S.
- Madureira, J.
- Fratianni, S.
- Acquaotta, F.
- Kim, H.
- Lee, W.
- Forsberg, B.
- Ragettli, M. S.
- Chen, B. Y.
- Li, S.
- Armstrong, B.
- Zanobetti, A.
- Schwartz, J.
- Dang, T. N.
- Dung, D. V.
- Gillett, N.
- Haines, A.
- Mengel, M.
- Huber, V.
- Gasparrini, A.
- Venue
- Nature Climate Change
- Published
- 2021-05-31
- Volume
- 11
- Issue
- 6
- Pages
- 492-500
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- PMC
- PMC7611104
- OpenAlex
- W3171801815
- Semantic Scholar
- 54d26db7b47f4929e373af434772c36da4d5260a
- Cited by
- 1,347
- References
- 31
- Citations by year
- 2026: 228 · 2025: 273 · 2024: 266 · 2023: 369 · 2022: 158 · 2021: 50
- FWCI
- 83.55
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nature Climate Change (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Bern Open Repository and Information System (University of Bern) (acceptedVersion, other-oa)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- BORIS (University Library Bern) (submittedVersion)
- Brunel University Research Archive (BURA) (Brunel University London) (submittedVersion, cc-by-nc-nd)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
- edoc (University of Basel) (submittedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Florence Research (University of Florence) (submittedVersion, cc-by-nc-nd)
- Site cant be reached (submittedVersion, other-oa)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by)
- Seoul National University Open Repository (Seoul National University) (submittedVersion)
- Rivm (National Institute for Public Health and the Environment) (submittedVersion, other-oa)
- Funders
- Emory University
- Harvard University
- Arizona State University
- Universität Basel
- University of Ottawa
- University of Bern
- Environmental Restoration and Conservation Agency
- Instituto de Investigaciones Gino Germani
- European Space Agency
- European Commission (820655, 310372, HORIZON2020)
- Public Health Agency
- Monash University
- Queensland University of Technology
- Grantová Agentura České Republiky (GA20-28560S)
- Bundesministerium für Bildung und Forschung (01LS1201A2)
- Seoul National University
- Anhui Medical University
- Fudan University
- Universitat de València
- Akademie Věd České Republiky
- Università degli Studi di Firenze
- University of Tokyo
- Umeå Universitet
- Shanghai Jiao Tong University
- National and Kapodistrian University of Athens
- Universidad de Buenos Aires
- Universidade de São Paulo
- Hakim Sabzevari University
- Oulun Yliopisto
- University of Tsukuba
- Universidade do Porto
- Nanjing Medical University
- Tartu Ülikool
- Technological University Dublin
- Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España (PCIN-2017–046)
- Universidade de Santiago de Compostela
- MRC-PHE Centre for Environment and Health
- Health Canada
- Medical Research Council (MR/M022625/1, MR/S019669/1, MR/R013349/1)
- Natural Environment Research Council (NE/R009384/1)
- National Health and Medical Research Council (1163693, 1109193)
- Fundação para a Ciência e a Tecnologia (SFRH/BPD/115112/2016)
- Japan Science and Technology Agency (JPMJSC20E4)
- Rijksinstituut voor Volksgezondheid en Milieu
- School of Medicine, Shanghai Jiao Tong University
- Helmholtz Zentrum München
- School of Public Health, Imperial College London
- Norwegian Institute of Public Health
- National Institute of Environmental Health Sciences (P30ES019776)
- Strategic International Collaborative Research Program (JPMJSC20E4)
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
- Health Sciences › Medicine › Physiology (medical) › Thermoregulation and physiological responses
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
- Keywords
- heat-related mortality, anthropogenic climate change, attributable mortality, anthropogenic warming, health impacts of climate change, climate change mitigation, climate change adaptation, global health burden
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
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