A Global Public Database of Disease Vector and Reservoir Distributions
Publication Date
March 31, 2009
Journal
PLOS Neglected Tropical Diseases
Authors
Alexander Moffett, Stavana Strutz, Nelson Guda, Camila González, et al
Volume
3
Issue
3
Pages
e378
DOI
http://doi.org/10.1371/journal.pntd.0000378
Publisher URL
http://journals.plos.org/plosntds/article?id=10.1371%2Fjournal.pntd.0000378
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/19333367
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2656641
Europe PMC
http://europepmc.org/abstract/MED/19333367
Web of Science
000265536800003
Scopus
65549160421
Mendeley
http://www.mendeley.com/research/global-public-database-disease-vector-reservoir-distributions
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Mendeley | Further Information

{"title"=>"A global public database of disease vector and reservoir distributions", "type"=>"journal", "authors"=>[{"first_name"=>"Alexander", "last_name"=>"Moffett", "scopus_author_id"=>"8591975800"}, {"first_name"=>"Stavana", "last_name"=>"Strutz", "scopus_author_id"=>"26536735400"}, {"first_name"=>"Nelson", "last_name"=>"Guda", "scopus_author_id"=>"26535923400"}, {"first_name"=>"Camila", "last_name"=>"González", "scopus_author_id"=>"26535887800"}, {"first_name"=>"Maria Cristina", "last_name"=>"Ferro", "scopus_author_id"=>"26535794900"}, {"first_name"=>"Victor", "last_name"=>"Sánchez-Cordero", "scopus_author_id"=>"6603586782"}, {"first_name"=>"Sahotra", "last_name"=>"Sarkar", "scopus_author_id"=>"7403239064"}], "year"=>2009, "source"=>"PLoS Neglected Tropical Diseases", "identifiers"=>{"doi"=>"10.1371/journal.pntd.0000378", "scopus"=>"2-s2.0-65549160421", "pui"=>"354584678", "isbn"=>"1935-2735", "pmid"=>"19333367", "issn"=>"1935-2735", "sgr"=>"65549160421"}, "id"=>"73f63b97-1d63-3413-9162-c48709139be6", "abstract"=>"A central theoretical goal of epidemiology is the construction of spatial models of disease prevalence and risk, including maps for the potential spread of infectious disease. We provide three continent-wide maps representing the relative risk of malaria in Africa based on ecological niche models of vector species and risk analysis at a spatial resolution of 1 arc-minute (9 185 275 cells of approximately 4 sq km). Using a maximum entropy method we construct niche models for 10 malaria vector species based on species occurrence records since 1980, 19 climatic variables, altitude, and land cover data (in 14 classes). For seven vectors (Anopheles coustani, A. funestus, A. melas, A. merus, A. moucheti, A. nili, and A. paludis) these are the first published niche models. We predict that Central Africa has poor habitat for both A. arabiensis and A. gambiae, and that A. quadriannulatus and A. arabiensis have restricted habitats in Southern Africa as claimed by field experts in criticism of previous models. The results of the niche models are incorporated into three relative risk models which assume different ecological interactions between vector species. The \"additive\" model assumes no interaction; the \"minimax\" model assumes maximum relative risk due to any vector in a cell; and the \"competitive exclusion\" model assumes the relative risk that arises from the most suitable vector for a cell. All models include variable anthrophilicity of vectors and spatial variation in human population density. Relative risk maps are produced from these models. All models predict that human population density is the critical factor determining malaria risk. Our method of constructing relative risk maps is equally general. We discuss the limits of the relative risk maps reported here, and the additional data that are required for their improvement. 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Student"=>12, "Student > Postgraduate"=>5, "Other"=>3, "Student > Master"=>13, "Student > Bachelor"=>6, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Environmental Science"=>11, "Mathematics"=>1, "Agricultural and Biological Sciences"=>43, "Medicine and Dentistry"=>17, "Veterinary Science and Veterinary Medicine"=>1, "Social Sciences"=>2, "Computer Science"=>1, "Immunology and Microbiology"=>1, "Earth and Planetary Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>17}, "Social Sciences"=>{"Social Sciences"=>2}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>43}, "Computer Science"=>{"Computer Science"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>4}, "Environmental Science"=>{"Environmental Science"=>11}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"Colombia"=>1, "Argentina"=>1, "United States"=>3, "United Kingdom"=>3, "Portugal"=>1, "Venezuela"=>1, "Mexico"=>1, "South Africa"=>1, "Italy"=>1, "Chile"=>2, "Australia"=>1, "France"=>1, "Germany"=>1}, "group_count"=>13}

CrossRef

Scopus | Further Information

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Figshare

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PMC Usage Stats | Further Information

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Relative Metric

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