Journal article

Estimating the number of cases of podoconiosis in Ethiopia using geostatistical methods

Kebede Deribe, Jorge Cano, Emanuele Giorgi, David M Pigott, Nick Golding, Rachel L Pullan, Abdisalan M Noor, Elizabeth A Cromwell, Aaron Osgood‐Zimmerman, Fikre Enquselassie, Asrat Hailu, Christopher JL Murray, Melanie J Newport, Simon J Brooker, Simon I Hay, Gail Davey

Wellcome Open Research | F1000 Research Ltd

Abstract

Background: In 2011, the World Health Organization recognized podoconiosis as one of the neglected tropical diseases. Nonetheless, the  magnitude of podoconiosis and the geographical distribution of the disease is poorly understood. Based on a nationwide mapping survey and geostatistical modelling, we predict the prevalence of podoconiosis and estimate the number of cases across Ethiopia. Methods: We used nationwide data collected in Ethiopia between 2008 and 2013. Data were available for 141,238 individuals from 1,442 communities in 775 districts from all nine regional states and two city administrations. We developed a geostatistical model of podoconiosis prevalence among adults (individua..

View full abstract

University of Melbourne Researchers

Citation metrics