Literature DB >> 2907156

The dynamics of vector-transmitted diseases in human communities.

D J Rogers1.   

Abstract

The development of vector-transmitted disease models and their application to field studies is reviewed. The key concepts of the basic rate of reproduction and disease transmission threshold are explained, and their application to disease control briefly illustrated. The complications involved in producing appropriate models are discussed for the case of the trypanosomatid parasites Leishmania and Trypanosoma that frequently have more than one vertebrate host and are often fatal in the human host. A two-species, vector-borne disease model allows a quantification of the role of animal reservoirs in maintaining human diseases. Human prevalence may be determined more by the parasitological characteristics of wild reservoir species, about which little is generally known, than by any other single feature of the complex interaction between parasites, vectors and hosts. Domestic animals are often ideal reservoirs, maintaining large numbers of vectors and considerably enlarging the parasite pool. When vector-transmitted diseases are fatal to the human host, human and vector dynamics interact in ways which may cause epidemic cycles, low-level endemic equilibria or disease extinction. For both leishmaniasis and trypanosomiasis it is suggested that a very small number of chronic human cases can maintain the disease in the human population over long periods of time between epidemic outbreaks. They may also be important in the maintenance of geographically distinct foci, characteristic of human trypanosomiasis in Africa. Finally there is a plea to establish a tradition of field observation leading to, and being directed by, mathematical models which in turn are modified as the observations accumulate. All too often, one-way traffic between the two results in slow, or misguided, progress.

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Year:  1988        PMID: 2907156     DOI: 10.1098/rstb.1988.0106

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  9 in total

1.  Etiology of interepidemic periods of mosquito-borne disease.

Authors:  S I Hay; M F Myers; D S Burke; D W Vaughn; T Endy; N Ananda; G D Shanks; R W Snow; D J Rogers
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-01       Impact factor: 11.205

2.  Spatially disaggregated disease transmission risk: land cover, land use and risk of dengue transmission on the island of Oahu.

Authors:  Sophie O Vanwambeke; Shannon N Bennett; Durrell D Kapan
Journal:  Trop Med Int Health       Date:  2010-11-14       Impact factor: 2.622

3.  Uncertainty in epidemiology and health risk and impact assessment.

Authors:  David J Briggs; Clive E Sabel; Kayoung Lee
Journal:  Environ Geochem Health       Date:  2008-10-30       Impact factor: 4.609

4.  The risk of incomplete personal protection coverage in vector-borne disease.

Authors:  Ezer Miller; Jonathan Dushoff; Amit Huppert
Journal:  J R Soc Interface       Date:  2016-02       Impact factor: 4.118

Review 5.  Satellite imagery in the study and forecast of malaria.

Authors:  David J Rogers; Sarah E Randolph; Robert W Snow; Simon I Hay
Journal:  Nature       Date:  2002-02-07       Impact factor: 49.962

Review 6.  Malaria early warning in Kenya.

Authors:  S I Hay; D J Rogers; G D Shanks; M F Myers; R W Snow
Journal:  Trends Parasitol       Date:  2001-02

7.  Pathogenic landscapes: interactions between land, people, disease vectors, and their animal hosts.

Authors:  Eric F Lambin; Annelise Tran; Sophie O Vanwambeke; Catherine Linard; Valérie Soti
Journal:  Int J Health Geogr       Date:  2010-10-27       Impact factor: 3.918

Review 8.  Surveillance of arthropod vector-borne infectious diseases using remote sensing techniques: a review.

Authors:  Satya Kalluri; Peter Gilruth; David Rogers; Martha Szczur
Journal:  PLoS Pathog       Date:  2007-10-26       Impact factor: 6.823

9.  The effects of host diversity on vector-borne disease: the conditions under which diversity will amplify or dilute the disease risk.

Authors:  Ezer Miller; Amit Huppert
Journal:  PLoS One       Date:  2013-11-26       Impact factor: 3.240

  9 in total

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