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Trends in mosquito species distribution modeling: insights for vector surveillance and disease control.
Lippi, Catherine A; Mundis, Stephanie J; Sippy, Rachel; Flenniken, J Matthew; Chaudhary, Anusha; Hecht, Gavriella; Carlson, Colin J; Ryan, Sadie J.
Affiliation
  • Lippi CA; Quantitative Disease Ecology and Conservation (QDEC) Lab, Department of Geography, University of Florida, Gainesville, FL, 32601, USA. clippi@ufl.edu.
  • Mundis SJ; Emerging Pathogens Institute, University of Florida, Gainesville, FL, 32601, USA. clippi@ufl.edu.
  • Sippy R; Quantitative Disease Ecology and Conservation (QDEC) Lab, Department of Geography, University of Florida, Gainesville, FL, 32601, USA.
  • Flenniken JM; Quantitative Disease Ecology and Conservation (QDEC) Lab, Department of Geography, University of Florida, Gainesville, FL, 32601, USA.
  • Chaudhary A; School of Mathematics and Statistics, University of St Andrews, St Andrews, KY16 9SS, UK.
  • Hecht G; Quantitative Disease Ecology and Conservation (QDEC) Lab, Department of Geography, University of Florida, Gainesville, FL, 32601, USA.
  • Carlson CJ; Quantitative Disease Ecology and Conservation (QDEC) Lab, Department of Geography, University of Florida, Gainesville, FL, 32601, USA.
  • Ryan SJ; Quantitative Disease Ecology and Conservation (QDEC) Lab, Department of Geography, University of Florida, Gainesville, FL, 32601, USA.
Parasit Vectors ; 16(1): 302, 2023 Aug 28.
Article in En | MEDLINE | ID: mdl-37641089
Species distribution modeling (SDM) has become an increasingly common approach to explore questions about ecology, geography, outbreak risk, and global change as they relate to infectious disease vectors. Here, we conducted a systematic review of the scientific literature, screening 563 abstracts and identifying 204 studies that used SDMs to produce distribution estimates for mosquito species. While the number of studies employing SDM methods has increased markedly over the past decade, the overwhelming majority used a single method (maximum entropy modeling; MaxEnt) and focused on human infectious disease vectors or their close relatives. The majority of regional models were developed for areas in Africa and Asia, while more localized modeling efforts were most common for North America and Europe. Findings from this study highlight gaps in taxonomic, geographic, and methodological foci of current SDM literature for mosquitoes that can guide future efforts to study the geography of mosquito-borne disease risk.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mosquito Vectors / Culicidae Type of study: Prognostic_studies / Screening_studies / Systematic_reviews Limits: Animals / Humans Country/Region as subject: Africa / Asia Language: En Journal: Parasit Vectors Year: 2023 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mosquito Vectors / Culicidae Type of study: Prognostic_studies / Screening_studies / Systematic_reviews Limits: Animals / Humans Country/Region as subject: Africa / Asia Language: En Journal: Parasit Vectors Year: 2023 Type: Article Affiliation country: United States