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Re-assessing thermal response of schistosomiasis transmission risk: Evidence for a higher thermal optimum than previously predicted.
Aslan, Ibrahim Halil; Pourtois, Julie D; Chamberlin, Andrew J; Mitchell, Kaitlyn R; Mari, Lorenzo; Lwiza, Kamazima M; Wood, Chelsea L; Mordecai, Erin A; Yu, Ao; Tuan, Roseli; Palasio, Raquel Gardini Sanches; Monteiro, Antônio M V; Kirk, Devin; Athni, Tejas S; Sokolow, Susanne H; N'Goran, Eliezer K; Diakite, Nana R; Ouattara, Mamadou; Gatto, Marino; Casagrandi, Renato; Little, David C; Ozretich, Reed W; Norman, Rachel; Allan, Fiona; Brierley, Andrew S; Liu, Ping; Pereira, Thiago A; De Leo, Giulio A.
Affiliation
  • Aslan IH; Department of Biology, Stanford University, Stanford, California, United States of America.
  • Pourtois JD; Hopkins Marine Station, Stanford University, Pacific Grove, California, United States of America.
  • Chamberlin AJ; Department of Biology, Stanford University, Stanford, California, United States of America.
  • Mitchell KR; Hopkins Marine Station, Stanford University, Pacific Grove, California, United States of America.
  • Mari L; Hopkins Marine Station, Stanford University, Pacific Grove, California, United States of America.
  • Lwiza KM; Department of Biology, Stanford University, Stanford, California, United States of America.
  • Wood CL; Hopkins Marine Station, Stanford University, Pacific Grove, California, United States of America.
  • Mordecai EA; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
  • Yu A; School of Marine and Atmospheric Sciences, Stony Brook University, New York, New York, United States of America.
  • Tuan R; School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, United States of America.
  • Palasio RGS; Department of Biology, Stanford University, Stanford, California, United States of America.
  • Monteiro AMV; Woods Institute for the Environment, Stanford University, Stanford, California, United States of America.
  • Kirk D; Department of Earth System Science, Stanford University, Stanford, California, United States of America.
  • Athni TS; Pasteur Institute, São Paulo Health Public Office, São Paulo, Brazil.
  • Sokolow SH; Department of Epidemiology, School of Public Health, University of São Paulo, São Paulo, Brazil.
  • N'Goran EK; National Institute for Space Research, São José dos Campos, São Paulo, Brazil.
  • Diakite NR; Department of Biology, Stanford University, Stanford, California, United States of America.
  • Ouattara M; Department of Biology, Stanford University, Stanford, California, United States of America.
  • Gatto M; Harvard Medical School, Boston, Massachusetts, United States of America.
  • Casagrandi R; Department of Biology, Stanford University, Stanford, California, United States of America.
  • Little DC; Woods Institute for the Environment, Stanford University, Stanford, California, United States of America.
  • Ozretich RW; Université Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire.
  • Norman R; Université Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire.
  • Allan F; Université Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire.
  • Brierley AS; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
  • Liu P; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
  • Pereira TA; Institute of Aquaculture, University of Stirling, Stirling, United Kingdom.
  • De Leo GA; Institute of Aquaculture, University of Stirling, Stirling, United Kingdom.
PLoS Negl Trop Dis ; 18(6): e0011836, 2024 Jun.
Article in En | MEDLINE | ID: mdl-38857289
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Schistosoma haematobium / Schistosoma mansoni / Temperature Limits: Animals / Humans Country/Region as subject: Africa Language: En Journal: PLoS Negl Trop Dis Journal subject: MEDICINA TROPICAL Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Schistosoma haematobium / Schistosoma mansoni / Temperature Limits: Animals / Humans Country/Region as subject: Africa Language: En Journal: PLoS Negl Trop Dis Journal subject: MEDICINA TROPICAL Year: 2024 Document type: Article Affiliation country: Country of publication: