{"title":"Health System Planning. A Methodology to Locate Social and Health Structures in Developing Countries","authors":"Domenico Chizzoniti","doi":"10.1016/j.proenv.2017.03.037","DOIUrl":null,"url":null,"abstract":"<div><p>The subject of this research is the identification of an experimental method to locate social-sanitary structures in some countries with situations of great emergency. At the beginning, this research analyses the collection of some data related to main characteristics of emergency areas, such as population density, health care facilities, environmental situations, proximity of the rivers, availability of infrastructure, settlements, floods and characters of the site.</p><p>Through this experimental method, each data allows to realize a map, which shows the places where are located the areas with major problems related to that specific factor. The results of each map can be compared and summarized into a complete table that allows to realize a final map with the worst situations of each areas (“stress” areas), that require priority interventions.</p><p>Finally, by recognizing a long-term strategy, this research identifies a precise case study to verify this experimental method.</p></div>","PeriodicalId":20460,"journal":{"name":"Procedia environmental sciences","volume":"37 ","pages":"Pages 222-233"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.proenv.2017.03.037","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia environmental sciences","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1878029617300373","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 subject of this research is the identification of an experimental method to locate social-sanitary structures in some countries with situations of great emergency. At the beginning, this research analyses the collection of some data related to main characteristics of emergency areas, such as population density, health care facilities, environmental situations, proximity of the rivers, availability of infrastructure, settlements, floods and characters of the site.
Through this experimental method, each data allows to realize a map, which shows the places where are located the areas with major problems related to that specific factor. The results of each map can be compared and summarized into a complete table that allows to realize a final map with the worst situations of each areas (“stress” areas), that require priority interventions.
Finally, by recognizing a long-term strategy, this research identifies a precise case study to verify this experimental method.