Re-assessing thermal response of schistosomiasis transmission risk: Evidence for a higher thermal optimum than previously predicted
Year: 2024
Type: article
Abstract: The geographical range of schistosomiasis is affected by the ecology of schistosome parasites and their obligate host snails, including their response to temperature. Previous models predicted schistosomiasis’ thermal optimum at 21.7 °C, which is not compatible with the temperature in sub-Saharan Africa (SSA) regions where schistosomiasis is hyperendemic. We performed an extensive literature search for empirical data on the effect of temperature on physiological and epidemiological parameters regulating the free-living stages of S. mansoni and S. haematobium and their obligate host snails, i.e., Biomphalaria spp. and Bulinus spp., respectively. We derived nonlinear thermal responses fitted on these data to parameterize a mechanistic, process-based model of schistosomiasis. We then re-cast the basic reproduction number and the prevalence of schistosome infection as functions of temperature. We found that the thermal optima for transmission of S. mansoni and S. haematobium range between 23.1-27.3 °C and 23.6-27.9 °C (95 % CI) respectively. We also found that the thermal optimum shifts toward higher temperatures as the human water contact rate increases with temperature. Our findings align with an extensive dataset of schistosomiasis prevalence in SSA. The refined nonlinear thermal-response model developed here suggests a more suitable current climate and a greater risk of increased transmission with future warming for more than half of the schistosomiasis suitable regions with mean annual temperature below the thermal optimum. Authors’ summary In this research, we explored the complex interplay between temperature and the transmission risk of schistosomiasis, a parasitic disease currently affecting over two hundred million people, predominantly in SSA. We developed a novel mathematical model accounting for the multiple positive and negative ways temperature affects the free-living stages of the parasite and its obligate, non-human host, i.e., specific species of freshwater snails. Our models show that schistosomiasis transmission risk peaks at temperatures 1-6°C higher than previously estimated. This indicates that the impact of climate change on schistosomiasis transmission might be more extensive than previously thought, affecting a wide geographic range where mean annual temperatures are currently below the optimal temperature. Our model projections are consistent with the observed temperatures in locations of SSA where schistosomiasis is endemic and data on infection prevalence in the human population are available. These findings suggest that the current climate is conducive to schistosomiasis transmission, and future warming could escalate the risk further, emphasizing the need for targeted interventions in these regions.
Source: PLoS neglected tropical diseases
Authors: Ibrahim Halil Aslan, Julie D. Pourtois, Andrew J. Chamberlin, Kaitlyn R. Mitchell, Lorenzo Mari, Kamazima M. Lwiza, Chelsea L. Wood, Erin A. Mordecai, Ao Yu, Roseli Tuan, Raquel Gardini Sanches Palasio, Antônio M.V. Monteiro, Devin Kirk, Tejas S. Athni, Susanne H. Sokolow, Eliezer K. N’Goran, Nana R. Diakite, Mamadou Ouattara, Marino Gatto, Renato Casagrandi, David C. Little, Reed W. Ozretich, Rachel Norman, Fiona Allan, Andrew S. Brierley, Ping Liu, Thiago A. Pereira, Giulio A. De Leo
Institutions: Hopkins Marine Station, Stanford University, Politecnico di Milano, Stony Brook University, University of Washington, Institut Pasteur de São Paulo, Universidade de São Paulo, Instituto Nacional de Pesquisas Espaciais, Harvard University, Université Félix Houphouët-Boigny, University of Stirling, Natural History Museum, University of St Andrews, Institute for Stem Cell Biology and Regenerative Medicine
Language: English
Subfield: Parasitology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,670
Funders: National Science Foundation, UK Research and Innovation, Fundação de Amparo à Pesquisa do Estado de São Paulo, National Institutes of Health, Stanford Woods Institute for the Environment, Stanford Bio-X, Natural Environment Research Council, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases, Fogarty International Center, Stanford University Center for Innovation in Global Health
Awards: A novel integration of fine scale ecological data, high-resolution precision mapping, and regional network modeling to investigate environmental drivers of schistosomiasis dynamics, G1330203626, G1458628772, Integrated risk mapping and targeted snail control to support schistosomiasis elimination in Brazil and Cote d'Ivoire under future climate change, G295657101, G3521531014, G3623638027, Integrated risk mapping and targeted snail control to support schistosomiasis elimination in Brazil and Côte d'Ivoire under future climate change, G5106728931, G5912409864, G6905962285, G6972383857, Belmont Forum Collaborative Research: Risk mapping and targeted snail control to support schistosomiasis elimination in Brazil and Cote d'Ivoire under future environmental change, G7969727521, How land use change transforms the landscape of vector-borne disease, G8672551166, G9000001890, G9000083956, G9000142570, Leveraging environmental drivers to predict vector-borne disease transmission
OpenAlex ID: W4399485001
