Cited by 325Climate Change and Health ImpactsThermoregulation and physiological responsesAir Quality and Health Impacts

Heat-Related Mortality in India: Excess All-Cause Mortality Associated with the 2010 Ahmedabad Heat Wave

Open access
Azhar, Gulrez Shah, Mavalankar, Dileep, Nori-Sarma, Amruta, Rajiva, Ajit, Dutta, Priya, Jaiswal, Anjali, Sheffield, Perry, Knowlton, Kim +2 more·2014·PLoS ONE

Abstract

INTRODUCTION: In the recent past, spells of extreme heat associated with appreciable mortality have been documented in developed countries, including North America and Europe. However, far fewer research reports are available from developing countries or specific cities in South Asia. In May 2010, Ahmedabad, India, faced a heat wave where the temperatures reached a high of 46.8 °C with an apparent increase in mortality. The purpose of this study is to characterize the heat wave impact and assess the associated excess mortality. METHODS: We conducted an analysis of all-cause mortality associated with a May 2010 heat wave in Ahmedabad, Gujarat, India, to determine whether extreme heat leads to excess mortality. Counts of all-cause deaths from May 1-31, 2010 were compared with the mean of counts from temporally matched periods in May 2009 and 2011 to calculate excess mortality. Other analyses included a 7-day moving average, mortality rate ratio analysis, and relationship between daily maximum temperature and daily all-cause death counts over the entire year of 2010, using month-wise correlations. RESULTS: The May 2010 heat wave was associated with significant excess all-cause mortality. 4,462 all-cause deaths occurred, comprising an excess of 1,344 all-cause deaths, an estimated 43.1% increase when compared to the reference period (3,118 deaths). In monthly pair-wise comparisons for 2010, we found high correlations between mortality and daily maximum temperature during the locally hottest "summer" months of April (r = 0.69, p<0.001), May (r = 0.77, p<0.001), and June (r = 0.39, p<0.05). During a period of more intense heat (May 19-25, 2010), mortality rate ratios were 1.76 [95% CI 1.67-1.83, p<0.001] and 2.12 [95% CI 2.03-2.21] applying reference periods (May 12-18, 2010) from various years. CONCLUSION: The May 2010 heat wave in Ahmedabad, Gujarat, India had a substantial effect on all-cause excess mortality, even in this city where hot temperatures prevail through much of April-June.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0091831

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Studies from India and Pakistan qualified heatwaves based on a direct temperature threshold, i.e., daily maximum temperature ranged between 40 to 45°C without considering duration or periods.

    “Studies from India and Pakistan qualified heatwaves based on a direct temperature threshold, i.e., the daily maximum temperature ranged between 40 to 45 • C without considering duration or periods [34,36].”

    From Heatwaves in South Asia: Characterization, Consequences on Human Health, and Adaptation Strategies (2022) · cites this paper as [36]

    The Introduction describes Indian heat-wave criteria based on daily maximum temperature, including an absolute threshold above 45°C. It does not give 40–45°C as the qualifying range: the Ahmedabad days it identifies reached 44.5–46.8°C. The Methods also explicitly analyzes a four-day extreme-heat period within a specified week, so the claim that the study did not consider periods is unsupported. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • The body of literature supports that a heatwave warning system can be an effective tool in reducing heat-related mortality and morbidity.

    “The body of literature supports the notion that a heatwave warning system can be an effective tool in reducing heat-related mortality and morbidity [36,124].”

    From Heatwaves in South Asia: Characterization, Consequences on Human Health, and Adaptation Strategies (2022) · cites this paper as [36]

    The Discussion (page unavailable in our copy) says that early heat warnings might significantly reduce heat-related deaths, especially when paired with preparedness and response measures. It does not say that warning systems reduce heat-related morbidity or report an evaluation of their effectiveness. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Awareness, education, and public outreach activities via government training workshops, billboards, pamphlets, and print advertisements are necessary to disseminate the severity of heat stress.

    “Further, awareness, education, and public outreach activities via government training workshops, billboards, pamphlets, and print advertisements are also necessary to disseminate the severity of heat stress [36,77].”

    From Heatwaves in South Asia: Characterization, Consequences on Human Health, and Adaptation Strategies (2022) · cites this paper as [36]

    The Discussion says public awareness of heat’s harmful health effects is critical and calls for preparedness among medical, public-health, and city-government staff. It does not specify government training workshops, billboards, pamphlets, or print advertisements as necessary ways to communicate that message. No page number is available in our copy. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Increasing access to water at different city locations is a solution for LMICs to reduce heat-related health hazards.

    “Another solution for LMICs is increasing access to water (via keeping water pots/tanks) at different city locations to reduce heat-related health hazards [36,77].”

    From Heatwaves in South Asia: Characterization, Consequences on Human Health, and Adaptation Strategies (2022) · cites this paper as [36]

    The Discussion (page unavailable) recommends that public-awareness messages encourage people to maintain hydration to protect against heat. It does not propose increasing access to water through pots or tanks at city locations, so the specific solution attributed to this paper is unsupported. (LLM, conf=0.83)

    Experimental — accuracy not yet measured
  • A successful case study from the Ahmedabad HAP advocated integration of meteorological and healthcare departments for substantial heatwave preparedness.

    “A successful case study from Ahmedabad HAP advocated the integration of meteorological and healthcare departments for substantial heatwave preparedness [36].”

    From Heatwaves in South Asia: Characterization, Consequences on Human Health, and Adaptation Strategies (2022) · cites this paper as [36]

    The Discussion advocates coordination across city government and medical facilities, along with information-sharing among agencies, to improve heat preparedness. But the Introduction describes this paper as a mortality analysis and an early step toward adaptation; our copy does not present it as a successful evaluation of the Ahmedabad Heat Action Plan or specifically call for integrating meteorological and healthcare departments. The indexed passages provide section labels but no page numbers. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 40 · Cited by 325

Research works printed but not linked: 34

  1. [1]Meehl GA, Karl T, Easterling DR, Changnon SA, Pielke RA, et al (2000) An introduction to trends in extreme weather and climate events: observations, socioeconomic impacts, terrestrial ecological impacts, and model projections. Bulletin-American Meteorological Society 81: 413– 416.
  2. [2]IPCC Working Group II (2011) Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (SREX). Geneva: Intergovernmental Panel on Climate Change. 22766781
  3. [3]Bush KF, Luber G, Kotha SR, Dhaliwal R, Kapil V, et al (2011) Impacts of climate change on public health in India: future research directions. Environmental Health Perspectives 119: 765. 21273162 PMC3114809
  4. [4]Hansen J, Sato M, Ruedy R (2012) Perception of climate change. Proceedings of the National Academy of Sciences 109: E2415– E2423. PMC3443154 22869707
  5. [5]Min S-K, Zhang X, Zwiers FW, Hegerl GC (2011) Human contribution to more-intense precipitation extremes. Nature 470: 378– 381. 21331039
  6. [6]IPCC editor (2012) Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press.
  7. [9]De U, Dube R, Rao GP (2005) Extreme weather events over India in the last 100 years. Journal of the Indian Geophysical Union 9: 173– 187.
  8. [10]Basu R (2009) High ambient temperature and mortality: a review of epidemiologic studies from 2001 to 2008. Environ Health 8: 40. 19758453 PMC2759912
  9. [11]Bell ML, O'Neill MS, Ranjit N, Borja-Aburto VH, Cifuentes LA, et al (2008) Vulnerability to heat-related mortality in Latin America: a case-crossover study in Sao Paulo, Brazil, Santiago, Chile and Mexico City, Mexico. Int J Epidemiol 37: 796– 804. 18511489 PMC2734062
  10. [12]Fowler DR, Mitchell CS, Brown A, Pollock T, Bratka LA, et al (2013) Heat-Related Deaths After an Extreme Heat Event-Four States, 2012, and United States, 1999-2009. MMWR-Morb Mortal Wkly Rep 62: 433– 436. 23739336 PMC4604981
  11. [14]Kovats RS, Hajat S (2008) Heat stress and public health: a critical review. Annual Review of Public Health 29: 41– 55. 18031221
  12. [15]Ellis FP (1977) Heat illness. II. Pathogenesis. Transactions of the Royal Society of Tropical Medicine & Hygiene 70: 412– 418. 320724
  13. [17]Robinson PJ (2001) On the definition of a heat wave. Journal of Applied Meteorology 40: 762– 775.
  14. [19]McMichael AJ, Wilkinson P, Kovats RS, Pattenden S, Hajat S, et al (2008) International study of temperature, heat and urban mortality: the ‘ISOTHURM’ project. International Journal of Epidemiology 37: 1121– 1131. 18522981
  15. [20]Hajat S, Armstrong B, Baccini M, Biggeri A, Bisanti L, et al (2006) Impact of high temperatures on mortality: is there an added heat wave effect? Epidemiology 17: 632– 638. 17003686
  16. [21]Anderson GB, Bell ML (2011) Heat waves in the United States: mortality risk during heat waves and effect modification by heat wave characteristics in 43 US communities. Environmental Health Perspectives 119: 210. 21084239 PMC3040608
  17. [22]Medina-Ramón M, Schwartz J (2007) Temperature, temperature extremes, and mortality: a study of acclimatisation and effect modification in 50 US cities. Occupational and environmental medicine 64: 827– 833. 17600037 PMC2095353
  18. [24]Wong K, Paddon A, Jimenez A (2013) Review of World Urban Heat Islands: Many Linked to Increased Mortality. J Energy Resour Technol 135(2) 135.
  19. [26]Vandentorren S, Suzan F, Medina S, Pascal M, Maulpoix A, et al (2004) Mortality in 13 French cities during the August 2003 heat wave. American Journal of Public Health 94: 1518. 15333306 PMC1448485
  20. [27]Baccini M, Biggeri A, Accetta G, Kosatsky T, Katsouyanni K, et al (2008) Heat effects on mortality in 15 European cities. Epidemiology 19: 711. 18520615
  21. [28]Knowlton K, Rotkin-Ellman M, King G, Margolis HG, Smith D, et al (2009) The 2006 California heat wave: impacts on hospitalizations and emergency department visits. Environmental Health Perspectives 117: 61. 19165388 PMC2627866
  22. [30]Dole R, Hoerling M, Perlwitz J, Eischeid J, Pegion P, et al. (2011) Was there a basis for anticipating the 2010 Russian heat wave? Geophysical Research Letters 38..
  23. [33]Parry ML (2007) 8.2.1.1 - Heatwaves. Cambridge University Press. 0521880106 0521880106.
  24. [34]Kovats RS, Hajat S (2008) Heat stress and public health: a critical review. Annu Rev Public Health 29: 41– 55. 18031221
  25. [35]Frumkin H, Hess J, Luber G, Malilay J, McGeehin M (2008) Climate change: the public health response. American Journal of Public Health 98: 435. 18235058 PMC2253589
  26. [36]Joubert D, Thomsen J, Harrison O (2011) Safety in the Heat: A Comprehensive Program for Prevention of Heat Illness Among Workers in Abu Dhabi, United Arab Emirates. American Journal of Public Health 101: 395. 21307373 PMC3036673
  27. [37]Hajat S, O'Connor M, Kosatsky T (2010) Health effects of hot weather: from awareness of risk factors to effective health protection. Lancet 375: 856– 863. 20153519
  28. [38]Takahashi K, Honda Y, Emori S (2007) Assessing mortality risk from heat stress due to global warming. Journal of Risk Research 10: 339– 354.
  29. [43]Anderson GB, Bell ML (2012) Lights Out: Impact of the August 2003 Power Outage on Mortality in New York, NY. Epidemiology 23: 189. 22252408 PMC3276729
  30. [44]Lan L, Cui G, Yang C, Wang J, Sui C, et al.. (2012) Increased Mortality During the 2010 Heat Wave in Harbin, China. EcoHealth: 1–5. 22893101
  31. [45]Rothman KJ, Greenland S, Lash TL (2008) Modern Epidemiology. Philadelphia: Lippincott-Raven.
  32. [46]Lan L, Cui G, Yang C, Wang J, Sui C, et al (2012) Increased Mortality During the 2010 Heat Wave in Harbin, China. EcoHealth 9: 310– 314. 22893101
  33. [47]Huang C, Barnett AG, Wang X, Vaneckova P, FitzGerald G, et al (2011) Projecting future heat-related mortality under climate change scenarios: a systematic review. Environmental Health Perspectives 119: 1681. 21816703 PMC3261978
  34. [49]Anderson BG, Bell ML (2009) Weather-related mortality: how heat, cold, and heat waves affect mortality in the United States. Epidemiology (Cambridge, Mass) 20: 205– 213. PMC3366558 19194300

Authors
Azhar, G. S., Mavalankar, D., Nori-Sarma, A., Rajiva, A., Dutta, P., Jaiswal, A., Sheffield, P., Knowlton, K., Hess, J. J., & on behalf of the Ahmedabad HeatClimate Study Group
Affiliations
  • Public Health Foundation of India (IN)
  • Natural Resources Defense Council (US)
  • Icahn School of Medicine at Mount Sinai (US)
  • Emory University (US)
Corresponding author
Azhar, Gulrez Shah
Venue
PLoS ONE
Published
2014-03-14
Volume
9
Issue
3
Pages
e91831
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2074522551
Cited by
325
References
40
Citations by year
2026: 37 · 2025: 29 · 2024: 27 · 2023: 42 · 2022: 42 · 2021: 38 · 2020: 22 · 2019: 24 · 2018: 31 · 2017: 12 · 2016: 10 · 2015: 5 · 2014: 5
FWCI
7.01
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • Georgia Institute of Technology
  • Emory University
  • Public Health Foundation of India
  • Fogarty International Center (R21TW009535)
  • National Institute of Environmental Health Sciences (P30ES023515)
  • Institute of Indigenous Peoples' Health
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
  • Health Sciences › Medicine › Physiology › Thermoregulation and physiological responses
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
Keywords
heat-related mortality, extreme heat, daily maximum temperature, mortality rate ratio, developing countries, South Asia, urban heat exposure, Gujarat, India, health impacts of climate change
MeSH terms
Cause of Death, Female, Hot Temperature, Humans, India, Male, Mortality, Seasons, Heat Stress Disorders

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review