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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.

Overview

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Registry

Crossref · 10.1146/annurev-ento-120709-144847

Cites

126 of 126 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 126 references

Research works printed but not linked: 18

  1. Ai-leen GT, 2000, Dengue Bull., 24, 110
  2. Bohra A, 2001, Dengue Bull., 25, 92
  3. Booman M, 2000, Bull. WHO, 78, 1438
  4. Coleman M, 2008, Vector-Borne Disease – Understanding the Environmental, Human Health, & Ecological Connections. Institute of Medicine Workshop Summary, 178
  5. Eisen L, 2008, Vector-Borne Disease – Understanding the Environmental, Human Health, & Ecological Connections. Institute of Medicine Workshop Summary, 150
  6. Hemingway J, 2006, Parasitol. Today, 22, 308
  7. Johnson PR, 2007, Global Infectious Disease Surveillance and Detection: Assessing the Challenges – Finding Solutions. Institute of Medicine Workshop Summary, 136
  8. Knox GE, 1964, J. R. Stat. Soc., 13, 25
  9. Lozano-Fuentes S, 2008, Bull. WHO, 86, 718
  10. Ribeiro JMC, 1996, Bull. WHO, 74, 299
  11. Ritchie SA, 2002, Dengue Bull., 26, 7
  12. Ritchie SA, 2001, Arbovirus Res. Aust., 8, 294
  13. Rosa-Freitas MG, 2003, Dengue Bull., 27, 63
  14. Saxena R, 2009, Indian J. Med. Res., 130, 125
  15. Tang CS, 2006, Epidemiol. News Bull., 32, 1
  16. Teng TB, 2001, Dengue Bull., 25, 1
  17. WHO, 2006, Wkly. Epidemiol. Rec., 28, 279
  18. WHO, 2007, Scientific Working Group Report on dengue

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Metadata

Authors
Eisen, L., & Eisen, R. J.
Affiliations
  • Colorado State University (US)
  • Centers for Disease Control and Prevention (US)
ORCID
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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