Abstract

Schistosomiasis is a neglected tropical disease caused by Schistosoma parasites. Schistosoma are obligate parasites of freshwater Biomphalaria and Bulinus snails, thus controlling snail populations is critical to reducing transmission risk. As snails are sensitive to environmental conditions, we expect their distribution is significantly impacted by global change. Here, we used machine learning, remote sensing, and 30 years of snail occurrence records to map the historical and current distribution of forward-transmitting Biomphalaria hosts throughout Brazil. We identified key features influencing the distribution of suitable habitat and determined how Biomphalaria habitat has changed with climate and urbanization over the last three decades. Our models show that climate change has driven broad shifts in snail host range, whereas expansion of urban and peri-urban areas has driven localized increases in habitat suitability. Elucidating change in Biomphalaria distribution—while accounting for non-linearities that are difficult to detect from local case studies—can help inform schistosomiasis control strategies.

Schistosomiasis is an emerging urban and peri-urban disease in Brazil and freshwater snails are an obligate host of the causative parasite. Here, the authors investigate the ecological suitability for the three freshwater snail hosts in Brazil and identify changes over time driven by climate and urbanisation.

Details

Title
Climate and urbanization drive changes in the habitat suitability of Schistosoma mansoni competent snails in Brazil
Author
Glidden, Caroline K. 1   VIAFID ORCID Logo  ; Singleton, Alyson L. 2 ; Chamberlin, Andrew 3   VIAFID ORCID Logo  ; Tuan, Roseli 4 ; Palasio, Raquel G. S. 4   VIAFID ORCID Logo  ; Caldeira, Roberta Lima 5 ; Monteiro, Antônio Miguel V. 6 ; Lwiza, Kamazima M. M. 7 ; Liu, Ping 7 ; Silva, Vivian 6 ; Athni, Tejas S. 8   VIAFID ORCID Logo  ; Sokolow, Susanne H. 9 ; Mordecai, Erin A. 1   VIAFID ORCID Logo  ; De Leo, Giulio A. 3   VIAFID ORCID Logo 

 Institute for Human-Centered AI, Stanford University, Department of Biology, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956); Department of Biology, Stanford University, Stanford, USA (GRID:grid.168010.e) (ISNI:0000 0004 1936 8956) 
 Emmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, USA (GRID:grid.168010.e) (ISNI:0000 0004 1936 8956) 
 Hopkins Marine Station, Stanford University, Department of Oceans, Pacific Grove, USA (GRID:grid.168010.e) (ISNI:0000 0004 1936 8956) 
 Pasteur Institute, São Paulo, Brazil (GRID:grid.168010.e) (ISNI:0000 0005 0955 754X) 
 Fiocruz Minas/Belo Horizonte, Minas Gerais, Brazil (GRID:grid.168010.e) 
 National Institute for Space Research, São José dos Campos, Brazil (GRID:grid.419222.e) (ISNI:0000 0001 2116 4512) 
 Stony Brook, Stony Brook University, New York, USA (GRID:grid.36425.36) (ISNI:0000 0001 2216 9681) 
 Harvard Medical School, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X) 
 Woods Institute for the Environment, Stanford University, Stanford, USA (GRID:grid.168010.e) (ISNI:0000 0004 1936 8956); University of California, Marine Science Institute, Santa Barbara, USA (GRID:grid.133342.4) (ISNI:0000 0004 1936 9676) 
Pages
4838
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3069691055
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.