{"title":"Geovisualization for cluster detection of hepatitis A & E outbreaks in Ahmedabad, Gujarat, India","authors":"C. Hughes, Vinayak Naik, R. Sengupta, D. Saxena","doi":"10.1145/2676629.2676631","DOIUrl":null,"url":null,"abstract":"In this paper, we describe a waterborne disease surveillance system for the city of Ahmedabad, Gujarat, India. The proposed system utilizes geocoded disease cases collected using android tablets in an open-source webGIS. Cluster and hot-spot analysis is automated in python and the results get pushed to a cloud-based database for subsequent web-based geovisualization. The end-user is able to interact with the geovisualization module to display individual and aggregated disease data along with related attributes and the locations of any hot-spots. This system meets the need for cost-effective, near-real time disease surveillance in developing countries.","PeriodicalId":330430,"journal":{"name":"HealthGIS '14","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"HealthGIS '14","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2676629.2676631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this paper, we describe a waterborne disease surveillance system for the city of Ahmedabad, Gujarat, India. The proposed system utilizes geocoded disease cases collected using android tablets in an open-source webGIS. Cluster and hot-spot analysis is automated in python and the results get pushed to a cloud-based database for subsequent web-based geovisualization. The end-user is able to interact with the geovisualization module to display individual and aggregated disease data along with related attributes and the locations of any hot-spots. This system meets the need for cost-effective, near-real time disease surveillance in developing countries.