The DOI matches its Crossref record; 129 of the 132 references it cites were found in a registry or an index.
Climate change and infectious diseases in Europe
Abstract
Concerted action is needed to address public health issues raised by climate change. In this Review we discuss infections acquired through various routes (arthropod vector, rodent, water, food, and air) in view of a changing climate in Europe. Based on an extensive review of published work and expert workshops, we present an assessment of the infectious disease challenges: incidence, prevalence, and distribution are projected to shift in a changing environment. Due to the high level of uncertainty on the rate of climate change and its impact on infectious diseases, we propose to mount a proactive public health response by building an integrated network for environmental and epidemiological data. This network would have the capacity to connect epidemic intelligence and infectious disease surveillance with meteorological, entomological, water quality, remote sensing, and other data, for multivariate analyses and predictions. Insights from these analyses could then guide adaptation strategies and protect population health from impending threats related to climate change.
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“Other studies have demonstrated the influence of the climate change in the spreading of other vector-borne diseases in Europe (Semenza and Menne, 2009).”
From Heartworm Disease (Dirofilaria immitis) and Their Vectors in Europe – New Distribution Trends (2012) · cites this paper as Semenza and Menne, 2009
In the citing paper
“There is currently a scientific consensus regarding the existence of anthropogenic climate change, which is ascribed to natural processes and human activity altering atmospheric conditions with an increase of the worldwide mean surface temperature by 0.74°C (Threnberth, 2005; Semenza and Menne, 2009).”
From Heartworm Disease (Dirofilaria immitis) and Their Vectors in Europe – New Distribution Trends (2012) · cites this paper as Semenza and Menne, 2009
In the citing paper
“Global warming has accelerated over the last hundred years (Fig. 1) with an average gain of 0.74 • C in 100 years [11].”
From Impact of climate change in the epidemiology of vector-borne diseases in domestic carnivores (2013) · cites this paper as [11]
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Metadata
- Authors
- Semenza, J. C., & Menne, B.
- Affiliations
- European Centre for Disease Prevention and Control (SE)
- World Health Organization Regional Office for Europe (DK)
- Corresponding author
- Semenza, Jan C
- Venue
- The Lancet Infectious Diseases
- Publisher
- Elsevier BV
- Published
- 2009-06
- Volume
- 9
- Issue
- 6
- Pages
- 365-375
- ISSN
- 1473-3099 (ISSN-L)
- OpenAlex
- W2032947546
- Cited by
- 679
- References
- 132
- Citations by year
- 2026: 17 · 2025: 37 · 2024: 37 · 2023: 61 · 2022: 34 · 2021: 46 · 2020: 40 · 2019: 32 · 2018: 38 · 2017: 35 · 2016: 47 · 2015: 41 · 2014: 61 · 2013: 54 · 2012: 35
- FWCI
- 3.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Lancet Infectious Diseases (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Zoonotic diseases and public health
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Climate change impacts on agriculture
- Keywords
- climate change, infectious diseases, arthropod-borne diseases, rodent-borne diseases, waterborne diseases, food poisoning, airborne infection, incidence and prevalence, disease distribution, climate change adaptation, public health response, epidemic intelligence, remote sensing, Europe
- MeSH terms
- Animals, Communicable Disease Control, Communicable Diseases, Disease Vectors, Europe, Humans, Population Surveillance, Greenhouse Effect
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.
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