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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/4BJ8L6H
Repositorysid.inpe.br/mtc-m21d/2024/07.01.16.19
Last Update2024:07.01.16.19.25 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2024/07.01.16.19.25
Metadata Last Update2025:01.12.23.46.05 (UTC) administrator
DOI10.1371/journal.pntd.0011836
ISSN1935-2727
1935-2735
Citation KeyAslanPCMMLWMYTPMKASNDOGCLONABLPL:2024:EvHiTh
TitleRe-assessing thermal response of schistosomiasis transmission risk: Evidence for a higher thermal optimum than previously predicted
Year2024
MonthJune
Access Date2025, May 09
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2492 KiB
2. Context
Author 1 Aslan, Ibrahim Halil
 2 Pourtois, Julie D.
 3 Chamberlin, Andrew J
 4 Mitchell, Kaitlyn R.
 5 Mari, Lorenzo
 6 Lwiza, Kamazima M.
 7 Wood, Chelsea L.
 8 Mordecai, Erin A.
 9 Yu, Ao
10 Tuan, Roseli
11 Palasio, Raquel Gardini Sanches
12 Monteiro, Antonio Miguel Vieira
13 Kirk, Devin
14 Athni, Tejas S
15 Sokolow, Susanne H.
16 N'Goran, Eliezer K.
17 Diakite, Nana R.
18 Ouattara, Mamadou
19 Gatto, Marino
20 Casagrandi, Renato
21 Little, David C
22 Ozretich, Reed W.
23 Norman, Rachel
24 Allan, Fiona
25 Brierley, Andrew S
26 Liu, Ping
27 Pereira, Thiago A.
28 De Leo, Giulio A.
Resume Identifier 1
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12 8JMKD3MGP5W/3C9JGJN
ORCID 1 0000-0002-9188-167X
Group 1
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12 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation 1 Stanford University
 2 Stanford University
 3 Stanford University
 4 Stanford University
 5 Politecnico di Milano
 6 Stony Brook University
 7 University of Washington
 8 Stanford University
 9 Stanford University
10 Instituto Pasteur
11 Universidade de São Paulo (USP)
12 Instituto Nacional de Pesquisas Espaciais (INPE)
13 Stanford University
14 Stanford University
15 Stanford University
16 Universitè Feçix Houphoüet-Boigny
17 Universitè Feçix Houphoüet-Boigny
18 Universitè Feçix Houphoüet-Boigny
19 Politecnico di Milano
20 Politecnico di Milano
21 University of Stirling
22 University of Stirling
23 University of Stirling
24 Natural History Museum, London
25 University of St. Andrews
26 Stony Brook University
27 Stanford University
28 Stanford University
Author e-Mail Address 1 iaslan@stanford.edu
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12 miguel.monteiro@inpe.br
JournalPlos Neglected Tropical Diseases
Volume18
Number6
Pagese0011836
Secondary MarkA1_MEDICINA_VETERINÁRIA A1_MEDICINA_II A1_MEDICINA_I A1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_FARMÁCIA A1_ENFERMAGEM A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AGRÁRIAS_I A1_BIOTECNOLOGIA A2_SAÚDE_COLETIVA A2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA A2_CIÊNCIAS_BIOLÓGICAS_III A2_CIÊNCIAS_BIOLÓGICAS_II A2_CIÊNCIAS_AMBIENTAIS A2_BIODIVERSIDADE B1_PSICOLOGIA
History (UTC)2024-07-01 16:19:25 :: simone -> administrator ::
2024-07-01 16:19:27 :: administrator -> simone :: 2024
2024-07-01 16:22:58 :: simone -> administrator :: 2024
2025-01-12 23:46:05 :: administrator -> simone :: 2024
3. Content and structure
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AbstractThe 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 degrees 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 degrees C and 23.6-27.9 degrees 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. 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 degrees 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.
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Languageen
Target Filejournal.pntd.0011836.pdf
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Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.40.32 4
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