Literature DB >> 20868280

Using geographic information systems and decision support systems for the prediction, prevention, and control of vector-borne diseases.

Lars Eisen1, Rebecca J Eisen.   

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.

Entities:  

Mesh:

Year:  2011        PMID: 20868280     DOI: 10.1146/annurev-ento-120709-144847

Source DB:  PubMed          Journal:  Annu Rev Entomol        ISSN: 0066-4170            Impact factor:   19.686


  38 in total

Review 1.  North American wetlands and mosquito control.

Authors:  Jorge R Rey; William E Walton; Roger J Wolfe; C Roxanne Connelly; Sheila M O'Connell; Joe Berg; Gabrielle E Sakolsky-Hoopes; Aimlee D Laderman
Journal:  Int J Environ Res Public Health       Date:  2012-12-10       Impact factor: 3.390

2.  Predicting ectotherm disease vector spread--benefits from multidisciplinary approaches and directions forward.

Authors:  Stephanie Margarete Thomas; Carl Beierkuhnlein
Journal:  Naturwissenschaften       Date:  2013-03-27

3.  What is the risk for exposure to vector-borne pathogens in United States national parks?

Authors:  Lars Eisen; David Wong; Victoria Shelus; Rebecca J Eisen
Journal:  J Med Entomol       Date:  2013-03       Impact factor: 2.278

Review 4.  Smuggling across the border: how arthropod-borne pathogens evade and exploit the host defense system of the skin.

Authors:  Quentin Bernard; Benoit Jaulhac; Nathalie Boulanger
Journal:  J Invest Dermatol       Date:  2013-12-28       Impact factor: 8.551

Review 5.  Spatially explicit multi-criteria decision analysis for managing vector-borne diseases.

Authors:  Valerie Hongoh; Anne Gatewood Hoen; Cécile Aenishaenslin; Jean-Philippe Waaub; Denise Bélanger; Pascal Michel
Journal:  Int J Health Geogr       Date:  2011-12-29       Impact factor: 3.918

Review 6.  Integrated Mosquito Management: Is Precision Control a Luxury or Necessity?

Authors:  Caroline Fouet; Colince Kamdem
Journal:  Trends Parasitol       Date:  2018-11-13

7.  Geocoding large population-level administrative datasets at highly resolved spatial scales.

Authors:  Sharon E Edwards; Benjamin Strauss; Marie Lynn Miranda
Journal:  Trans GIS       Date:  2014-08

8.  Use of spatial analysis to support environmental health research and practice.

Authors:  Marie Lynn Miranda; Sharon E Edwards
Journal:  N C Med J       Date:  2011 Mar-Apr

9.  Geographic patterns and environmental factors associated with human yellow fever presence in the Americas.

Authors:  Patricia Najera Hamrick; Sylvain Aldighieri; Gustavo Machado; Deise Galan Leonel; Luz Maria Vilca; Sonia Uriona; Maria Cristina Schneider
Journal:  PLoS Negl Trop Dis       Date:  2017-09-08

10.  Spatio-temporal modelling of Culicoides Latreille (Diptera: Ceratopogonidae) populations on Reunion Island (Indian Ocean).

Authors:  Yannick Grimaud; Annelise Tran; Samuel Benkimoun; Floriane Boucher; Olivier Esnault; Catherine Cêtre-Sossah; Eric Cardinale; Claire Garros; Hélène Guis
Journal:  Parasit Vectors       Date:  2021-05-27       Impact factor: 3.876

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