Robert J. Corner|Ashraf Dewan|Masahiro Hashizume
Modelling typhoid risk in Dhaka Metropolitan Area of Bangladesh: the role of socio-economic and environmental factors
CRC for Spatial information|Curtin University|CRC for Spatial information|Curtin University|Nagasaki University
developing countries south asia bangladesh bear disproportionate burden diarrhoeal diseases cholera typhoid paratyphoid seem aggravated number social environmental factors lack access safe drinking water overcrowdedness poor hygiene brought poverty socioeconomic data obtained census data whilst others difficult elucidate study considers range census data spatial data sources including remote sensing potential predictors typhoid risk typhoid data aggregated hospital admission records period 2005 2009 spatial statistical structures data analysed principal axis factoring used reduce degree colinearity data resulting factors combined quality life index turn used regression model typhoid occurrence riskthe three principal factors used together explain 87 variance initial candidate predictors eminently qualifies use set uncorrelated explanatory variables linear regression model initial regression result using ordinary least squares ols disappointing explainable analysis spatial autocorrelation inherent principal factors use geographically weighted regression caused considerable increase predictive power regressions based factors best prediction determined analysis akaike information criterion aic found three factors combined quality life index using method previously published others coefficient determination 73the typhoid occurrencerisk prediction equation used develop first risk map showing areas dhaka metropolitan area whose inhabitants greater lesser risk typhoid infection coupled seasonal information typhoid incidence also reported paper potential advise public health professionals developing prevention strategies targeted vaccination