Literature DB >> 14511560

Temperature-suitability maps for schistosomiasis in South Africa.

I Moodley1, I Kleinschmidt, B Sharp, M Craig, C Appleton.   

Abstract

The results of parasitological surveys have shown that both urinary and intestinal schistosomiasis occur widely among the human residents of South Africa. The national data on both diseases have now been incorporated into a geographical information system, to develop new maps based on defined temperature constraints. The disease data, obtained from a 'hard-copy' atlas of schistosomiasis, were used as a template to select temperature regimes that were (1) suitable and (2) unsuitable for the transmission of schistosomes to humans in South Africa. The regimes were derived from the published results of investigations in which the biology of larval schistosomes (i.e. schistosome transmission) was related to temperature in South Africa. Those regimes that were based on the estimated temperature minima for transmission corresponded more closely to the disease-distribution data than those based on the corresponding maxima. An estimate of the number of children living in the climate-suitable areas was made but, within the context of the spatial methodology used and the limitations of the available disease data, it was not possible to predict the prevalences of schistosomiasis.

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Year:  2003        PMID: 14511560     DOI: 10.1179/000349803225001445

Source DB:  PubMed          Journal:  Ann Trop Med Parasitol        ISSN: 0003-4983


  12 in total

1.  Remote sensing, geographical information system and spatial analysis for schistosomiasis epidemiology and ecology in Africa.

Authors:  C Simoonga; J Utzinger; S Brooker; P Vounatsou; C C Appleton; A S Stensgaard; A Olsen; T K Kristensen
Journal:  Parasitology       Date:  2009-07-23       Impact factor: 3.234

2.  Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in Tanzania.

Authors:  Archie C A Clements; Nicholas J S Lwambo; Lynsey Blair; Ursuline Nyandindi; Godfrey Kaatano; Safari Kinung'hi; Joanne P Webster; Alan Fenwick; Simon Brooker
Journal:  Trop Med Int Health       Date:  2006-04       Impact factor: 2.622

Review 3.  Spatial epidemiology of human schistosomiasis in Africa: risk models, transmission dynamics and control.

Authors:  Simon Brooker
Journal:  Trans R Soc Trop Med Hyg       Date:  2006-10-20       Impact factor: 2.184

4.  Modelling the spatial and seasonal distribution of suitable habitats of schistosomiasis intermediate host snails using Maxent in Ndumo area, KwaZulu-Natal Province, South Africa.

Authors:  Tawanda Manyangadze; Moses John Chimbari; Michael Gebreslasie; Pietro Ceccato; Samson Mukaratirwa
Journal:  Parasit Vectors       Date:  2016-11-04       Impact factor: 3.876

5.  Modeling the risk of transmission of schistosomiasis in Akure North Local Government Area of Ondo State, Nigeria using satellite derived environmental data.

Authors:  Oluwaremilekun G Ajakaye; Oluwatola I Adedeji; Paul O Ajayi
Journal:  PLoS Negl Trop Dis       Date:  2017-07-12

6.  Impact of the scale-up of piped water on urogenital schistosomiasis infection in rural South Africa.

Authors:  Frank Tanser; Daniel K Azongo; Alain Vandormael; Till Bärnighausen; Christopher Appleton
Journal:  Elife       Date:  2018-02-20       Impact factor: 8.140

7.  Environmental factors and the risk of urinary schistosomiasis in Ile Oluji/Oke Igbo local government area of Ondo State.

Authors:  Oluwaremilekun G Ajakaye; Titus Adeniyi Olusi; M O Oniya
Journal:  Parasite Epidemiol Control       Date:  2016-03-31

8.  Geographical information system and predictive risk maps of urinary schistosomiasis in Ogun State, Nigeria.

Authors:  Uwem F Ekpo; Chiedu F Mafiana; Clement O Adeofun; Adewale Rt Solarin; Adewumi B Idowu
Journal:  BMC Infect Dis       Date:  2008-05-31       Impact factor: 3.090

9.  Modeling and Validation of Environmental Suitability for Schistosomiasis Transmission Using Remote Sensing.

Authors:  Yvonne Walz; Martin Wegmann; Stefan Dech; Penelope Vounatsou; Jean-Noël Poda; Eliézer K N'Goran; Jürg Utzinger; Giovanna Raso
Journal:  PLoS Negl Trop Dis       Date:  2015-11-20

10.  Modelling local areas of exposure to Schistosoma japonicum in a limited survey data environment.

Authors:  Andrea L Araujo Navas; Ricardo J Soares Magalhães; Frank Osei; Raffy Jay C Fornillos; Lydia R Leonardo; Alfred Stein
Journal:  Parasit Vectors       Date:  2018-08-13       Impact factor: 3.876

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