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dc.contributor.authorMudenda, Ntombi B.
dc.contributor.authorMalone, John B.
dc.contributor.authorKearney, Michael T.
dc.contributor.authorMischler, Paula D.
dc.contributor.authorNieto, Prixia del Mar
dc.contributor.authorMcCarroll, Jennifer C.
dc.contributor.authorVounatsou, Penelope
dc.date.accessioned2019-02-26T12:53:24Z
dc.date.available2019-02-26T12:53:24Z
dc.date.issued2012
dc.identifier.urihttp://dspace.unza.zm:8080/xmlui/handle/123456789/5802
dc.descriptionJournal articleen
dc.description.abstract. The distribution of hookworm in schistosomiasis-endemic areas in Brazil was mapped based on climate suitability. Known biological requirements of hookworm were fitted to data in a monthly long-term normal climate grid (18 x 18 km) using geographical information systems. Hookworm risk models were produced using the growing degree day (GDD) water budget (WB) concept. A moisture-adjusted model (MA-GDD) was developed based on accumulation of monthly temperatures above a base temperature of 15 °C (below which there is no lifecycle progression of Necator americanus) conditional on concurrent monthly values (rain/potential, evapotranspiration) of over 0.4. A second model, designated the gradient index, was calculated based on the monthly accumulation of the product of GDD and monthly WB values (GDD x WB). Both parameters had a significant positive correlation to hookworm prevalence. In the northeastern part of Brazil (the Caatinga), low hookworm prevalence was due to low soil moisture content, while the low prevalence in southern Brazil was related to low mean monthly temperatures. Both environmental temperature and soil moisture content were found to be important parameters for predicting the prevalence of N. americanus.en
dc.language.isoenen
dc.publisherGeospatial Healthen
dc.subjectHookworm,en
dc.subjectNecator americanusen
dc.subjectRisk modelsen
dc.subjectGrowing degree daysen
dc.subjectGeographical information systemsen
dc.subjectWater budgeten
dc.titleModelling the ecological niche of hookworm in Brazil based on climateen
dc.typeArticleen


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