Evidence map›Paper›PMID 38857289›Full record

ArticlePLoS neglected tropical diseases2024

Re-assessing thermal response of schistosomiasis transmission risk: Evidence for a higher thermal optimum than previously predicted.

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 and 18 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors.

Ibrahim Halil AslanDepartment of Biology, Stanford University, Stanford, California, United States of America.ORCID 0000-0002-9188-167X
Julie D PourtoisDepartment of Biology, Stanford University, Stanford, California, United States of America.
Andrew J ChamberlinHopkins Marine Station, Stanford University, Pacific Grove, California, United States of America.
Kaitlyn R MitchellDepartment of Biology, Stanford University, Stanford, California, United States of America.
Lorenzo MariDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
Kamazima M LwizaSchool of Marine and Atmospheric Sciences, Stony Brook University, New York, New York, United States of America.
Chelsea L WoodSchool of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, United States of America.
Erin A MordecaiDepartment of Biology, Stanford University, Stanford, California, United States of America.
Ao YuDepartment of Earth System Science, Stanford University, Stanford, California, United States of America.
Roseli TuanPasteur Institute, São Paulo Health Public Office, São Paulo, Brazil.
Raquel Gardini Sanches PalasioDepartment of Epidemiology, School of Public Health, University of São Paulo, São Paulo, Brazil.
Antônio M V MonteiroNational Institute for Space Research, São José dos Campos, São Paulo, Brazil.
Devin KirkDepartment of Biology, Stanford University, Stanford, California, United States of America.
Tejas S AthniDepartment of Biology, Stanford University, Stanford, California, United States of America.
Susanne H SokolowDepartment of Biology, Stanford University, Stanford, California, United States of America.
Eliezer K N'GoranUniversité Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire.
Nana R DiakiteUniversité Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire.
Mamadou OuattaraUniversité Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire.
Marino GattoDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
Renato CasagrandiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
David C LittleInstitute of Aquaculture, University of Stirling, Stirling, United Kingdom.
Reed W OzretichInstitute of Aquaculture, University of Stirling, Stirling, United Kingdom.
Rachel NormanComputing Science and Mathematics, University of Stirling, Stirling, United Kingdom.
Fiona AllanDepartment of Life Sciences, Natural History Museum, London, United Kingdom.
Andrew S BrierleyScottish Oceans Institute, School of Biology, University of St. Andrews, St. Andrews, United Kingdom.
Ping LiuSchool of Marine and Atmospheric Sciences, Stony Brook University, New York, New York, United States of America.
Thiago A PereiraInstitute for Stem Cell Biology and Regenerative Medicine, School of Medicine, Stanford University, Stanford, California, United States of America.
Giulio A De LeoDepartment of Biology, Stanford University, Stanford, California, United States of America.

Funding

Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
The child health impacts of overlapping vector-borne diseases in KenyaR01AI102918 · NIAID · STANFORD UNIVERSITY · PI Angelle Desiree LaBeaud · 2013 to 2026
$7.7M
Leveraging environmental drivers to predict vector-borne disease transmissionR35GM133439 · NIGMS · STANFORD UNIVERSITY · PI Erin Mordecai · 2019 to 2026
$3.2M
Modeling the influence of temperature on the evolution of vector-virus interactionsR01AI168097 · NIAID · WADSWORTH CENTER · PI Alexander Timothy Ciota · 2022 to 2026
$2.4M
NIAID NIH HHS R01 AI102918NIAID NIH HHS R01 AI168097NIGMS NIH HHS R35 GM133439NIGMS NIH HHS T32 GM144273
6 · The paper itself

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.

Indexed as

Schistosoma haematobiumSchistosoma mansoniTemperatureAfrica South of the SaharaAnimalsBiomphalariaBulinusHumansPrevalenceSchistosomiasisSchistosomiasis haematobiaSchistosomiasis mansoni

Identifiers

PMID38857289
PMCPMC11207148

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.