Cited by 194Vector-borne infectious diseasesMosquito-borne diseases and controlData-Driven Disease Surveillance

The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.

Using Geographic Information Systems and Decision Support Systems for the Prediction, Prevention, and Control of Vector-Borne Diseases

Eisen, Lars, Eisen, Rebecca J.·2011·Annual Review of Entomology

DOI 10.1146/annurev-ento-120709-144847

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Abstract

Emerging and resurging vector-borne diseases cause significant morbidity and mortality, especially in the developing world. We focus on how advances in mapping, Geographic Information System, and Decision Support System technologies, and progress in spatial and space-time modeling, can be harnessed to prevent and control these diseases. Major themes, which are addressed using examples from tick-borne Lyme borreliosis; flea-borne plague; and mosquito-borne dengue, malaria, and West Nile virus disease, include (a) selection of spatial and space-time modeling techniques, (b) importance of using high-quality and biologically or epidemiologically relevant data, (c) incorporation of new technologies into operational vector and disease control programs, (d) transfer of map-based information to stakeholders, and (e) adaptation of technology solutions for use in resource-poor environments. We see great potential for the use of new technologies and approaches to more effectively target limited surveillance, prevention, and control resources and to reduce vector-borne and other infectious diseases.

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Additional file 2 of Spatio-temporal modelling of Culicoides Latreille (Diptera: Ceratopogonidae) populations on Reunion Island (Indian Ocean)
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Additional file 1 of Spatio-temporal modelling of Culicoides Latreille (Diptera: Ceratopogonidae) populations on Reunion Island (Indian Ocean)
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Authors: Eisen, L., & Eisen, R. J.
Affiliations: Colorado State University (US)
Centers for Disease Control and Prevention (US)
ORCID: Eisen, Lars
Eisen, Rebecca J.
Venue: Annual Review of Entomology
Publisher: Annual Reviews
Published: 2011-01-07
Volume: 56
Issue: 1
Pages: 41-61
ISSN: 0066-4170 (ISSN-L)
1545-4487
DOI: 10.1146/annurev-ento-120709-144847
OpenAlex: W2121362530
Cited by: 194
References: 126
Citations by year: 2026: 5 · 2025: 8 · 2024: 5 · 2023: 6 · 2022: 15 · 2021: 13 · 2020: 12 · 2019: 17 · 2018: 14 · 2017: 13 · 2016: 16 · 2015: 13 · 2014: 20 · 2013: 16 · 2012: 13
FWCI: 1.74
Type: journal article
Language: en
Open access: closed
Locations: Annual Review of Entomology (publishedVersion)
PubMed (publishedVersion)
Funders: National Institutes of Health (n01ai25489-12-0-1)
National Institute of Allergy and Infectious Diseases (N01-AI-25489)
Topics: Life Sciences › Immunology and Microbiology › Parasitology › Vector-borne infectious diseases
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mosquito-borne diseases and control
Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
Keywords: vector-borne diseases, geographic information systems, decision support system, spatial modeling, spatio-temporal modeling, Lyme disease, plague, dengue, malaria, West Nile virus, vector control, disease surveillance, resource-limited settings
MeSH terms: Animals, Communicable Disease Control, Communicable Diseases, Decision Support Techniques, Disease Vectors, Humans

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Using Geographic Information Systems and Decision Support Systems for the Prediction, Prevention, and Control of Vector-Borne Diseases

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