R V Randremanana, R Migliani, S Rakotomanga, I Jeanne
{"title":"[Geographic Information Systems and health: application to Antananarivo city].","authors":"R V Randremanana, R Migliani, S Rakotomanga, I Jeanne","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The general health status of the population in the capital, Antananarivo, is determined by a number of different socio-economical and environmental factors. A study was undertaken in 1998 by which the Geographic Information System (GIS) was implemented in order to describe characteristics in town areas (fokontany) suffering from a high disease burden. It was observed that there was a heterogeneous distribution of health care supporting facilities in comparison to population density in the different areas of the capitol. A risk-score system by use of an image-technique was elaborated. The most important problem encountered in the study was the reduced availability of standardized collected data. The results suggest that GIS constitutes a useful tool in assessment of urban health problems in order to identify fokontany in particular need of additional health care support.</p>","PeriodicalId":75536,"journal":{"name":"Archives de l'Institut Pasteur de Madagascar","volume":"67 1-2","pages":"74-8"},"PeriodicalIF":0.0000,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives de l'Institut Pasteur de Madagascar","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The general health status of the population in the capital, Antananarivo, is determined by a number of different socio-economical and environmental factors. A study was undertaken in 1998 by which the Geographic Information System (GIS) was implemented in order to describe characteristics in town areas (fokontany) suffering from a high disease burden. It was observed that there was a heterogeneous distribution of health care supporting facilities in comparison to population density in the different areas of the capitol. A risk-score system by use of an image-technique was elaborated. The most important problem encountered in the study was the reduced availability of standardized collected data. The results suggest that GIS constitutes a useful tool in assessment of urban health problems in order to identify fokontany in particular need of additional health care support.