Forecasting zoonotic disease risks in a changing climate

Modelling predicts how the ecological impacts of climate change are expected to drive changes in the endemic ranges of zoonotic vector-borne diseases globally

Published in Microbiology

Forecasting zoonotic disease risks in a changing climate
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medRxiv
medRxiv medRxiv

Ecological impacts of climate change will transform public health priorities for zoonotic and vector-borne disease

Climate change impacts on zoonotic/vector-borne diseases pose significant threats to humanity[1][1] but these links are, in general, poorly understood[2][2]. Here, we project present and future geographical risk patterns for 141 infectious agents to understand likely climate change impacts, by integrating ecological models of infection hazard (climate-driven host/vector distributions and dispersal[3][3],[4][4]) with exposure (human populations) and vulnerability (poverty prevalence). Projections until 2050, under a medium climate change (Representative Concentration Pathway (RCP) 4.5), show a 9.6% mean increase in endemic area size for zoonotic/vector-borne diseases globally (n=101), with expansions common across continents and priority pathogen groups. Range shifts of host and vector animal species appear to drive higher disease risk for many areas near the poles by 2050 and beyond. Projections using lower climate change scenarios (RCP 2.6 & 4.5) indicated similar or slightly worse future population exposure trends than higher scenarios (RCP 6.0 & 8.5), possibly due to host and vector species being unable to track faster climatic changes. Socioeconomic development trajectories, Shared Socioeconomic Pathways (SSPs), mediate future risk through a combination of climate and demographic change, which will disrupt current, regional patterns of disease burden. Overall, our study suggests that climate change will likely exacerbate global animal-borne disease risk, emphasising the need to consider climate change as a health threat. One Sentence Summary Climate change and socio-economic development dictate future geographical areas at risk of zoonotic and vector-borne diseases. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement This research was supported by an MRC UKRI/Rutherford Fellowship (MR/R02491X/1, MR/R02491X/2), Sir Henry Dale Research Fellowship (funded by the Wellcome Trust and the Royal Society) (220179/Z/20/Z, 220179/A/20/Z) (DWR), and The Trinity Challenge Sentinel Forecasting Project (KEJ, RG). ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes All data produced in the present study are available upon reasonable request to the authors <https://www.dropbox.com/scl/fo/lrsts3ipcalppzktlol9e/h?rlkey=dnvh4rgpbe225pxdwwekpwq4z&dl=0> [1]: #ref-1 [2]: #ref-2 [3]: #ref-3 [4]: #ref-4

The broad impact of climate change, including sea level rise, extreme weather and biodiversity loss, extend to human health and may dramatically shift the global landscape (distriution, prevelence and incidence) of zoonotic vector-borne diseases (ZVBDs). This includes the potential emergence of new ZVBDs and increased ‘spillover’ of pathogens from animals to humans due to alterations in host and vector dynamics driven by environmental changes.

 It has been predicted, for example, that host and vectors of zoonotic pathogens are likely to accumulate and come into contact at higher elevations as temperatures warm, in biodiversity hotspots and areas with high human population density, resulting in increased risk of virus transmission between host species (whether humans or animals).

 Building resilience against these changing ZVBD landscapes is crucial, particularly in regions with limited socio-economic development and historically underdeveloped healthcare infrastructure. Public health agencies must therefore proactively enhance their capacity to detect, respond to, and manage ZVBDs as they arise in new environments.

Schematic of zoonotic disease transmisison and major factors influencing their spread. Redding et al., 2019.
Schematic of zoonotic disease transmisison and major factors influencing their spread. Redding et al., 2019.

As some key ZVBDs already appear to be on the rise in some regions (e.g. Aedes-borne viruses), there's a need to forecast and predict how ZVBDs might further disseminate, as well as understand the connection between human disease risk and global environmental changes. However, these links are generally poorly understood, despite climate change and ZVBDs both representing independent threats to humanity.

Modelling the impact of climate change on zoonotic vector-borne diseases

To investigate the links between ZVBD distribution, spillover risk to humans, and an altering environment due to climate change, a preprint from researchers at the Natural History Museum (London) and University College London (UCL) applied a combined ecgological-epidemological approach to develop models to predict how suitable environments are for both host and vector of 165 ZVBDs, including 114 viruses, 18 bacteria, 30 endoparasites, and 3 fungi. Across all ZVBDs, the geographic ranges of 1058 hosts and vectors were incorporated into their model.

Using reported data on host, vector, and pathogen distributions globally, researchers predicted the endemic range of each pathogen geographically. They combined this with 15 climate scenarios from the present to 2080 to forecast the risk of human exposure to different ZVBDs under varying warming levels. Using this approach the researchers could then project the possible impact of climate-driven environmental changes on the spread and movement of those ZVBDs, identifying regions at higher risk of emergence considering socioeconomic factors.

Changes to zoonotic vector-borne disease endemic areas

Of the 165 zoonotic vector-borne diseases in the study, the modelled endemic ranges of 141 matched their current known ranges. Of those, 101 were clinically confirmed to infect humans and were used for further modelling and analysis. Under a ‘medium’ climate change scenario (RCP = 4.5) projected until 2050, the model showed a 9.6% mean increase in the endemic areas across all 101 zVBDs, with similar patterns of range expansion found on all continents.

Average percentage change in endemic area of ZVBDs by continent. Redding et al., 2024.
Average percentage change in endemic area of ZVBDs by continent. Redding et al., 2024.

When projected until 2080, over half of the zVBDs (54.5%) had predicted expansions in their endemic ranges due to climate change, whilst 18.1% had smaller ranges, and 27.4% remained roughly similar in range.

The model showed that zVBDs with more complex transmission routes, such as those involving multiple host and vector species (e.g. Lyme’s disease and plague), often had smaller endemic ranges by 2080 compared to those zVBDs with simpler, vector-only transmission cycles (e.g. Dengue).  This suggests heightened vulnerability to climate-induced ecological disruptions, which may potentially separate host/vector species necessary for complex transmission routes, thus limiting their endemic areas and transmission.

Projected directional changes in endemic area of 101 ZVBDs by 2050. Colour coded by bearing. Redding et al., 2024.
Projected directional changes in endemic area of 101 ZVBDs by 2050. Colour coded by bearing. Redding et al., 2024.

Under a ‘medium’ climate change scenario (RCP = 4.5) projected until 2050, the model showed a 9.6% mean increase in the endemic areas across all 101 ZVBDs, with similar patterns of range expansion found on all continents.

Interestingly, the percentage change in endemic area by 2080 was actually found to become weaker and revert as warming increased beyond 2 °C, supporting other predictions of changes to cross-species viral transmission risk due to climate change. This impact of more severe warming is noted to possibly result in a decrease in the ability of animal hosts and vectors to disperse fast enough to ‘keep up’ with movement of their environmental niches, and is consistent with the considerable loss in biodiversity expected as climate change becomes more pronounced.

Average percentage change in endemic area of ZVBDs for each Representative Concentration Pathway (RCP) pathway. Redding et al., 2024.

Lastly, the researchers assessed how changes to the expected burden (i.e. number of cases) of ZVBDs across each continent changed under five socioeconomic development scenarios (Shared Socio-economic Pathways (SSPs)), assuming that increased poverty will result in more severe disease outcomes and higher incidence. The model revealed substantial variation in disease burden among continents. Except for Europe, all continents were generally projected to experience a greater disease burden under all five (SSP) scenarios. Africa showed the largest increases (25-75%), followed by Oceania and the Americas (5-20%).

Average percent change in expected number of ZVBD cases in economically vulnerable communities by 2050, under 5 different Shared Socioeconomic Pathways (SSPs). Redding et al., 2024.

Conclusion

By using the known geographical ranges of hosts, vectors, and ZVBDs, alongside climate change projections, the authors developed mathematical models to forecast the broad-scale implications of climate, economics, and sociodemographic changes on ZVBD distribution and risk globally.

Overall, the study suggests ZVBD endemic areas will shift and expand, increasing risk to human populations, especially in regions heavily impacted by climate change and have rapid population growth. As ZVBDs spread, there is a strong possibility they will reach immunologically-naive (i.e. previously unexposed) human populations, heightening the risk of severe disease manifestations and larger outbreaks.

This research underscores the importance of understanding climate-induced changes in pathogen distribution, offering insights into potential outcomes under different warming scenarios and emphasizing the urgent need to address climate change as a significant threat to human (and animal) health globally.

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