Impact of socio-economic conditions on the incidence of visceral leishmaniasis in Bihar, India.
Visceral leishmaniasis (VL) is one of the world's worst parasitic killers, second only to Malaria, claiming thousands of lives every year. More than three fifths of the world's VL cases occur in the Indian state of Bihar alone. While some research has been conducted with emphasis on the effects of c...
| Publicado en: | International Journal of Environmental Health Research Vol. 20; no. 6; pp. 415 - 431 |
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| Autores principales: | , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Dec2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104959565&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104959565 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09603123 57L jtl: International Journal of Environmental Health Research issn: 09603123 maglogo: Y pubinfo: dt: Dec2010 vid: 20 iid: 6 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 104959565 56043654 10.1080/09603123.2010.491853 NLM21161803 104959565 ppf: 415 ppct: 16 formats: fmt: @attributes: type: P tig: atl: Impact of socio-economic conditions on the incidence of visceral leishmaniasis in Bihar, India. aug: au: Sheets D Mubayi A Kojouharov HV affil: Department of Economics, University of Texas at Arlington, Arlington, Texas, USA sug: subj: Socioeconomic Factors Leishmaniasis Epidemiology India Human Male Female Multiple Linear Regression Step-Wise Multiple Regression Correlation Coefficient Multivariate Analysis Pearson's Correlation Coefficient Funding Source Male Female ab: Visceral leishmaniasis (VL) is one of the world's worst parasitic killers, second only to Malaria, claiming thousands of lives every year. More than three fifths of the world's VL cases occur in the Indian state of Bihar alone. While some research has been conducted with emphasis on the effects of climatic variables on the VL incidence rate, rigorous analysis of the effects of socio-economic variables is still lacking. In this paper a regression model is developed that describes the relationship between VL incidence rate and a variety of socio-economic factors. It uses data from 2005 and explains 92% of the observed variance. In addition, a stepwise regression model is also used to identify the most important factors that facilitate the prevalence of the VL disease. A discussion on how to most effectively distribute Bihar's limited resources on various control measures to decrease the incidence of VL is also presented. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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