Abstract
The accelerated warming of the planet caused by anthropogenic climate change is very concerning, as its impacts have the potential to be broad and its effects widespread. One climate change impact with significant interest from scientists, politicians, the media and the general public, is the proposed changes to infectious disease dynamics. Climate change has the potential to alter disease transmission through expansion to naive populations or by worsening risk factors. However, limitations exist in our ability to forecast the climate and disease, including how we incorporate changes in human behaviour and how we attribute climate/weather events solely to an infectious disease outcome. Broad statements about the impact of the climate on infectious disease may not be helpful, as these relationships are highly complex and likely lead to an oversimplification. The interdisciplinary field of climate-health research has the attention of those outside of science, and it is the responsibility of those involved to communicate attribution on an evidence basis, for better scientific communication and public spending. The uncertainty around the impacts of climate change is a call for action, to prevent pushing the Earth’s systems into the unknown.
Similar content being viewed by others
Introduction
Climate change is a natural phenomenon of the planet, moving through natural cycles of ice ages and warmer periods over millions of years. These changes occur through alterations in the Sun and the Earth’s orbit, emissions from volcanos and changes to atmospheric greenhouse gas (GHG) levels (e.g., carbon dioxide, methane, nitrogen oxides, water vapor), which can be seen in geological records1. Since the onset of the Industrial Revolution (late 18th century) and the subsequent burning of fossil fuels coupled with land use alterations, the climate has been changing at rates not documented in the Earth’s natural history2.
The human influenced warming of the Earth has led to changes to temperatures, precipitation, natural hazards, sea level and ecosystems3. However, climate change is a highly complex process, involving interaction between land, oceans, the atmosphere, and the biosphere. The impact of climate processes on regional weather can be heterogenous, with the presence of large water bodies, topography and proximity to coast being highly important4.
The impact of anthropogenic climate change on society, in terms of food, migration, weather and health, is a rapidly evolving field. The complexity of the Earth’s climate makes attributing climate change to changes in society very challenging. Climate change has gathered a significant amount of interest beyond the scientific community in recent decades, particularly in the media and politics. Therefore, how the science is communicated in these highly complex and evolving fields is important5.
Here, we offer perspectives on the role of climate change on infectious diseases, and the projected changes that may occur in the future. Recent increases in investment and funding for climate-related epidemiology has led to an uptick in the number of studies being published and a significant research landscape on the subject now exists6. Additionally, the topic has been picked up by the media, politicians and non-governmental organisations, often stating the catastrophic impacts the climate will have on infectious disease transmission and distribution, globally7.
Terminology
In a rapidly evolving and complex field, language is important, particularly in terms of using definitions in a uniform way to allow for better comparison. This can present challenges due to disagreement over definitions. For example, the “pre-industrial era” is discussed throughout climate research, but a definition of this era is still ambiguous2. Some key definitions for this work are stated here.
The World Health Organization (WHO)8 defines an infectious disease as a pathogenic microorganism (e.g., bacteria, virus, parasite or fungi) that can be spread, either directly or indirectly. We base our understanding of an infectious disease on the WHO definition and describe transmission types to include direct contact, food-borne, water-borne, vector-borne and via fomites. Some commonly suggested mechanisms through which climate change may increase infectious diseases include:
-
1.
via changes to transmission risk factors – such as water, sanitation, poverty and housing, leading to higher case numbers, morbidity and mortality.
-
2.
via changes to distribution – changing the range in which an infectious disease can be epidemic or endemic, e.g., changes in vector distribution and behaviour6.
The weather is defined as the state of the atmosphere (particularly, pressure), which governs conditions such as cloudiness, wind, temperature and precipitation, fluctuating on regional and hourly to weekly scales. Alternatively, the climate is long term changes to weather patterns, typically on time scales of 30 years or longer9. Climate change, according to the Intergovernmental Panel on Climate Change (IPCC) is “a change in the state of the climate that can be identified by changes in the mean and/or the variability of its properties, and that persists for an extended period, typically decades or longer”10, covering natural and human influences.
Challenges in climate change projections
Climate data and reconstructions include station data, satellite data and paleo-climate data from tree rings, ice cores and lake and ocean sediment. These data are highly important as both a method of validating climate models and to better understand historical climate change11. For example, the Pliocene and Eocene epoch could be excellent analogies for some climate scenarios, providing a glimpse into what the future climate might look like12.
General Circulation Models (GCMs) are mathematical representations of the Earth’s climate systems and are powerful tools for climate change projections. GCMs are continuously being improved with computational advances and validated by new data. Recent improvements have been made in simulating continental-scale surface temperature patterns and multi-decadal trends. However, the models continue to perform less well for precipitation and representing the processes involving clouds and aerosols. The ability to simulate ocean thermal expansion, glaciers and ice sheets, and thus sea level, has improved, but significant challenges remain in representing the dynamics of the Greenland and Antarctic ice sheets13.
Climate change scenarios used in projections are largely based on suggested future emissions of greenhouse gases. The Representative Concentration Pathways (RCPs) are perhaps the most widely used set of emissions scenarios set out by the IPCC and cover a wide range of projected pathways and uncertainties (see Table 1 for more details)14. Emissions’ release and uptake are largely governed by societal changes, such as changes in economics, population, lifestyle, technology and policy, which are fundamentally uncertain13.
Challenges in attributing climate change to infectious disease
Infectious diseases have a huge global burden, particularly among those most vulnerable, and increases in transmission are highly concerning. Some key fears to changes in disease range, are that populations will have little understanding about the spread or preparedness to respond to the disease and a naive population immunity would lead to higher morbidity and mortality7. A positive outcome for exploring the relationships between climate, weather and disease is to create early warning systems and plan for future changes. For example, if a disease has a strong environmental link, then weather forecasts could be informative for disease transmission risk15,16. If these relationships are not accurate, or potentially inaccurate due to residual confounding, then this could lead to wasted resources, such as vaccinations.
Similarly to climate data, infectious disease data are rife with challenges and inconsistencies. Infectious disease data are sparse, with issues in reporting gaps, lags, testing, overreporting and underreporting. Therefore, identifying a true increase/decrease in a disease or change in transmission is at the mercy of the reporting systems17. Furthermore, attributing these changes to climate change needs caution. For example, the WHO recently confirmed a global upsurge in cholera and stated that climate change is playing a key role, due to an increase in droughts, floods and cyclones18. However, climate change is expected to decrease cyclone frequency (but increase intensity) and not all extreme weather can be attributed to climate change, as even without any anthropogenic warming, droughts, floods and cyclones would still occur19,20.
Climate is very rarely the only variable that impacts the distribution and transmission of infectious diseases. Bruce-Chwatt and De Zulueta21 not only discuss future projections in vector-borne disease transmission changes, but also use lessons from historical transmission of malaria to exercise caution in how they communicate climate-related malaria changes. For example, malaria was common in Britain during the Medieval Warm Period but did not decrease during the Little Ice Age. Instead, later declines were largely related to changes in land use and the destruction of wetlands21. Furthermore, there is a wider variety of diseases at low latitudes compared to high latitudes, related to both the environment and the vulnerability of the population including poverty, access to clean water and sanitation and healthcare22. All these factors will continue to change and evolve in the future and are difficult to project or predict.
Important economic forces are at play in the burden of infectious diseases and will likely continue to do so into the future. For example, since the 1980s, there has been a trend towards degradation of Sub-Saharan African healthcare, mainly due to armed conflicts and conditions imposed by international financial institutions having largely damaging consequences22. How the global economy and development aid will change in the future is highly contentious (with economic crises often difficult to project or predict), such as the rate of development or conflict in middle-income countries and the financial stability of low-income countries, all of which will impact health, healthcare, and health systems23.
One way climate change may impact behaviour is through perception of risk. If people see or perceive infectious disease risk due to climate change as something that could impact their lives, this could improve health-related behaviours such as vaccination uptake, handwashing and mask wearing24,25. For example, if a coronavirus vaccine had been offered in January 2019, it is very likely that uptake would have been low. When vaccines were available (from December 2020), uptake in many countries with availability was high, partly because people perceived their risk and inconvenience as high26. Improving our understanding of people’s behavioural changes due to climate change could be highly beneficial for all climate-related impact studies. Until we have a greater evidence base, our interpretations should not be overstated, as already suggested in the field of climate-related migration27.
The impact of future climate on vector-borne disease ranges is a highly studied area, potentially due to the clearer link between the vectors and the climate (e.g., via thermal response curves from laboratory studies), and concerns over the difficulties in controlling vectors28,29. All animals and plants sit within an ecosystem, and therefore their survival and range largely depend upon what occurs in the wider ecosystem. Studies examining the distribution of vectors in isolation, as a simple insect-climate relationship may not be fully informative, unless the results are put into the context of how all other aspects of the ecosystem will behave and adapt. Previously, animals have shifted their ranges and behaviours to account for natural climate variation; however, we know we are altering the climate at accelerated rates, so species might not be able to adapt at the pace needed30. Others could adapt by moving, but are restricted by cities, fences, or have reached maximum elevation. Furthermore, the biodiversity loss expected due to climate and global changes may reduce some zoonotic infectious diseases, although not all animals have the same zoonotic potential31.
Evidence that climate change has impacted infectious disease
There are several vector-borne, water-borne and air-borne pathogens that are considered climate-sensitive and therefore affected by climate change32. Meningitis is projected to worsen with climate change, with some evidence that meningococcal meningitis has strong environmental links, particularly along the meningitis belt. Increases in desertification in the future, due to increasing temperatures could see a rise in meningitis transmission33. However, wind speed is also important for meningitis transmission and the IPCC has projected a global “stilling”, with wind speeds slowing in the coming decades and by 2100, average global wind speed dropping by 10%, potentially decreasing the distribution of air-borne dust and meningitis transmission34.
Influenza transmission often increases in cold and dry conditions and so climate change could see a direct relationship with a decrease in the disease. However, many studies which evaluate weather and influenza look at temperature35, whereas climate change is projected to increase precipitation in several areas, including in Europe. The potential for longer wet spells could increase indoor activity and therefore the spread of respiratory pathogens36. Additionally, the impacts of climate on influenza largely revolve around human transmission, and few studies investigate the role of climate on viral biology and animal hosts, research which would also be useful for many other diseases35.
Links have been made between disease and large patterns of ocean circulation and sea surface temperatures, particularly for water-borne diseases, due to rainfall patterns being partially driven by the El Niño-Southern Oscillation in some areas37,38. These studies are often done in isolation, without considering other basins/ocean-atmosphere teleconnections, salinity, or, sea surface height leading to potentially spurious relationships. Teleconnections are highly complex natural systems, and how they impact weather and climate variability across a continent is highly spatially heterogenous, not least because regional factors play a crucial role in how any teleconnection translates to local weather and therefore disease risk4. Furthermore, there is evidence that underlying vulnerabilities e.g., lack of water and sanitation, are far more important than environmental factors when it comes to water-borne disease transmission, as a breakdown in these services is needed for pathogen exposure39.
There are several projections for vector-borne diseases, including malaria and dengue, suggesting that with climate change, there will be an overall net increase in climate suitability and therefore the population at risk, but these projections come with high uncertainty29,40. From a biological perspective, higher temperatures mean higher metabolic rates for vectors, leading to higher biting and development rates. A higher metabolism can result in greater vector mortality, as their energy reserves are exhausted much quicker22. Additionally, an increase in storm intensity could see the destruction of vector-breeding grounds41 and increasing salinity from storm surges and coastal erosion may cause some pathogens to proliferate and some to regress42.
Ways forward
We have presented many complexities and challenges which the scientific community faces in attributing infectious disease transmission to climate change. Given how specific changes may result in both increases and decreases in infectious disease transmission for different areas of the world, caution is needed when communicating climate-related risks. There are several ways in which the evidence base could be further improved and strengthened, to create more meaningful and comprehensive science which can be used for preparedness, as summarised in Table 2.
Conclusion
The impacts of climate change are a highly relevant scientific field for contemporary society and more inter-disciplinary research is vital. Projections of infectious diseases into the future with climate scenarios and global change contribute to development-related decision-making including financing, especially for health systems and land use. However, over-attributing infectious disease transmission to climate or to climate change could lead to a waste and diversion of public resources, which could be better spent in addressing underlying vulnerabilities. Furthermore, making broad statements about unevidenced impacts of climate change on infectious disease causes issues within the public, contributing to rising action fatigue in climate change mitigation and climate change adaptation43 and the scientific community, leading to inaccuracies and a lack of nuances in the scientific evidence base.
An ethical issue emerges, already pointed out by disaster and conflict scientists44,45. Does blaming a social breakdown on climate change shift the blame and therefore potential action away from those who can do something about it? Does it present these issues as acts of nature, albeit human-altered nature, outside of our control and therefore decreasing our incentive to prepare in the long-term and invest in a sustainable future? Actions to lift people out of poverty and provide them with basic services will improve all aspects of health and give people greater agency to mitigate and adapt to climate change. These broader preparedness and mitigation techniques offer far more benefits compared to specific actions for one climate-sensitive disease.
It is not about pitting those who believe in the importance of climate change-related narratives against those who do not46. Instead, it is about taking a more evidence-based approach to attributing these large scale and highly complex processes to a variety of inputs, particularly when specialists from all fields have not been included in every aspect of the research. Fundamentally, we do not know for certain what will happen in the future, nor its effects, and that is why we should act on climate change now, because we are knowingly pushing the Earth’s systems into the unknown.
References
Intergovernmental Panel on Climate Change (IPCC). AR6 Synthesis Report Climate Change 2023 Summary for Policymakers. https://www.ipcc.ch/report/ar6/syr/downloads/report/IPCC_AR6_SYR_SPM.pdf (2023).
Abram, N. J. et al. Early onset of industrial-era warming across the oceans and continents. Nature 536, 411–418 (2016).
Intergovernmental Panel on Climate Change (IPCC). Climate Change 2022: Impacts, Adaptation and Vulnerability https://www.ipcc.ch/report/ar6/wg2/ (2022).
Plisnier, P. D., Serneels, S. & Lambin, E. F. Impact of ENSO on East African ecosystems: a multivariate analysis based on climate and remote sensing data. Glob. Ecol. Biogeogr. 9, 481–497 (2000).
Gavin, N. T. Addressing climate change: a media perspective. Environ. Polit. 18, 765–780 (2009).
Baker, R. E. et al. Infectious disease in an era of global change. Nat. Rev. Microbiol. 20, 193–205 (2022).
Prillaman, M. Climate change is making hundreds of diseases much worse. Nature. https://doi.org/10.1038/d41586-022-02167-z (2022)
World Health Organization. Infectious Diseases. https://www.emro.who.int/health-topics/infectious-diseases/index.html (2023).
Met Office. Understanding Weather. https://www.metoffice.gov.uk/weather/learn-about/met-office-for-schools/other-content/other-resources/understanding-weather (2023).
Intergovernmental Panel on Climate Change (IPCC). Fifth Assessment Report, Annex II Glossary. https://www.ipcc.ch/site/assets/uploads/2018/02/WGIIAR5-AnnexII_FINAL.pdf (2014).
Overpeck, J. T., Meehl, G. A., Bony, S. & Easterling, D. R. Climate data challenges in the 21st century. Science 331, 700–702 (2011).
Burke, K. D. et al. Pliocene and Eocene provide best analogs for near-future climates. PNAS 115, 13288–13293 (2018).
Intergovernmental Panel on Climate Change (IPCC). Future Climate Changes, Risks and Impacts. https://ar5-syr.ipcc.ch/topic_futurechanges.php (2014).
Van Vuuren, D. P. et al. The representative concentration pathways: an overview. Clim. Change. 109, 5–31 (2011).
Morin, C. W. et al. Unexplored opportunities: use of climate-and weather-driven early warning systems to reduce the burden of infectious diseases. Curr. Environ. Health Rep. 5, 430–438 (2018).
Semenza, J. C. Cascading risks of waterborne diseases from climate change. Nat. Immunol. 21, 484–487 (2020).
Phalkey, R. K., Yamamoto, S., Awate, P. & Marx, M. Challenges with the implementation of an Integrated Disease Surveillance and Response (IDSR) system: systematic review of the lessons learned. Health Policy Plan 30, 131–143 (2015).
World Health Organization. New analysis confirms world seeing an upsurge of cholera. https://www.who.int/news/item/22-09-2023-new-analysis-confirms-world-seeing-an-upsurge-of-cholera (2023).
Knutson, T. R. et al. Tropical cyclones and climate change. Nat. Geosci. 3, 157–163 (2010).
Chand, S. S. et al. Declining tropical cyclone frequency under global warming. Nat. Clim. Change. 12, 655–661 (2022).
Bruce-Chwatt, L. J. & De Zulueta, J. The rise and fall of malaria in Europe: a historico-epidemiological study (Oxford University Press, 1980).
Lafferty, K. D. The ecology of climate change and infectious diseases. Ecology 90, 888–900 (2009).
Moyer, J. D. & Hedden, S. Are we on the right path to achieve the sustainable development goals? World Dev 127, 104749 (2020).
De Zwart, O. et al. Perceived threat, risk perception, and efficacy beliefs related to SARS and other (emerging) infectious diseases: results of an international survey. Int. J. Behav. Med. 16, 30–40 (2009).
Qin, H., Sanders, C., Prasetyo, Y., Syukron, M. & Prentice, E. Exploring the dynamic relationships between risk perception and behavior in response to the Coronavirus Disease 2019 (COVID-19) outbreak. Soc. Sci. Med. 285, 114267 (2021).
Ndejjo, R. et al. Uptake of COVID-19 vaccines and associated factors among adults in Uganda: a cross-sectional survey. BMJ Open 13, e067377 (2023).
Nicholson, C. T. M. & Mayer, B. Climate Migration: Critical Perspectives for Law, Policy and Research (ed. Nicholson, C. T. M. & Mayer, B.) (Hart Publishing, 2023).
Thomson, M. C. & Stanberry, L. R. Climate change and vectorborne diseases. N. Engl. J. Med. 387, 1969–1978 (2022).
Caminade, C. et al. Impact of climate change on global malaria distribution. PNAS 111, 3286–3291 (2014).
Harley, C. D. Climate change, keystone predation, and biodiversity loss. Science 334, 1124–1127 (2011).
Keesing, F. & Ostfeld, R. S. Impacts of biodiversity and biodiversity loss on zoonotic diseases. PNAS 118, e2023540118 (2021).
de Sousa, T. C., Amancio, F., Hacon, S. & Barcellos, C. Climate-sensitive diseases in Brazil and the world: systematic review. Pan. Am. J. Public Health. 42, e85 (2018).
Sultan, B., Labadi, K., Guégan, J. F. & Janicot, S. Climate drives the meningitis epidemics onset in West Africa. PLoS Med 2, e6 (2005).
Zeng, Z. et al. A reversal in global terrestrial stilling and its implications for wind energy production. Nat. Clim. Change. 9, 979–985 (2019).
Lane, M. A. et al. Climate change and influenza: A scoping review. J. Clim. Change Health. 5, 100084 (2022).
Chan, S. C. et al. Europe-wide precipitation projections at convection permitting scale with the Unified Model. Clim. Dyn. 55, 409–428 (2020).
Pascual, M., Rodó, X., Ellner, S. P., Colwell, R. & Bouma, M. J. Cholera dynamics and El Nino-southern oscillation. Science 289, 1766–1769 (2000).
Rodó, X., Pascual, M., Fuchs, G. & Faruque, A. S. ENSO and cholera: a nonstationary link related to climate change? PNAS 99, 12901–12906 (2002).
Charnley, G. E. C. et al. Exploring relationships between drought and epidemic cholera in Africa using generalised linear models. BMC Infect. Dis. 21, 1177 (2021).
Colón-González, F. J., Fezzi, C., Lake, I. R. & Hunter, P. R. The effects of weather and climate change on dengue. PLoS Neglect. Trop. Dis. 7, e2503 (2013).
Charnley, G. E. C., Kelman, I., Gaythorpe, K. A. & Murray, K. A. Traits and risk factors of post-disaster infectious disease outbreaks: a systematic review. Sci. Rep. 11, 5616 (2021).
Collins, A. E. Vulnerability to coastal cholera ecology. Soc. Sci. Med. 57, 1397–1407 (2003).
Morrison, M., Parton, K. & Hine, D. W. Increasing belief but issue fatigue: Changes in Australian household climate change segments between 2011 and 2016. PloS One 13, e0197988 (2018).
Gaillard, J. C. The Climate Gap. Clim. Dev. 4, 261–264 (2012).
Selby, J. & Hoffmann, C. Rethinking climate change, conflict and security. Geopolit 19, 747–756 (2014).
Brisbois, B. W. & Ali, S. H. Climate change, vector-borne disease and interdisciplinary research: social science perspectives on an environment and health controversy. EcoHealth 7, 425–438 (2010).
Intergovernmental Panel on Climate Change (IPCC). Future Pathways for Adaptation, Mitigation and Sustainable Development. https://ar5-syr.ipcc.ch/topic_pathways.php#table_3_1 (2014).
Acknowledgements
No specific funding was granted for the completion of this work; however, we acknowledge joint Centre funding from the UK Medical Research Council and Department for International Development [MR/R0156600/1].
Author information
Authors and Affiliations
Contributions
Both authors (GECC & IK) equally contributed to the conceptualisation and design of the work, drafting the work and revising it critically for important intellectual content, had final approval on the completed version and are accountable for all aspects of the work.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Charnley, G.E.C., Kelman, I. Perspectives on climate change and infectious disease outbreaks: is the evidence there?. npj Clim. Action 3, 61 (2024). https://doi.org/10.1038/s44168-024-00115-3
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s44168-024-00115-3