MARDIANA, IDA LEIDA MARIA, TAHIR ABDULLAH, ANWAR MALLONGI , VENI HADJU,SRI SUNARTI , PURWO SETIYO NUGROHO , SRI WAHYUNINGSIH , MOH. AKHTAR SETIA RED , MUH. TAUFIK HIDAYAT
DOI: https://doi.org/Introduction: Epidemiology spatial is one of the branch from epidemiology that takes into account characteristics place ( spatial ) of occurrence something problem health . Use analysis Geographically Weighted Regression in epidemiology spatial used For reduce risk of bias due to heterogeneity of data from variation spatial.Various study earlier on the issue health has done through approach epidemiology spatial and GWR analysis .
Method: Literature review research using the PubMed database for 159 articles . Based on ... a number of the established criteria , obtained as many as 30 articles research conducted study comprehensive .
Results: Based on results literature review obtained that use GWR analysis becomes proper analysis in study field health public especially in epidemiology spatial research previously show that GWR analysis can give mapping and related data point risk high / vulnerable ( hotspot ) and points risk low ( coldspot ) problem health in an area based on character geographically . GWR analysis can also identify variables significant predictors influential to problem health in each region. Various implications results GWR research field health public intended For recommendation development policy health that focuses on a specific area in accordance character spatial .
Conclusion and Suggestions: GWR analysis in health public effective used For increase quality study with reduce risk of research bias from factor heterogeneity spatial research area . GWR analysis can used as material For recommendation policy health focused on at-risk areas tall problem health and variables significant predictors in each region . Required development study more carry on use GWR analysis in epidemiology spatial For help map problem health based on location geographical .
