The Typhoid Fever Surveillance in Africa Program: Geospatial sampling frames for household-based studies: lessons learned from a multicountry surveillance network in Senegal, South Africa, and Sudan

<p><strong>Background</strong> Robust household sampling, commonly applied for population-based investigations, requires sampling frames or household lists to minimize selection bias. We have applied Google Earth Pro satellite imagery to constitute structure-based sampling frames a...

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Bibliographic Details
Main Authors:	Baker, S, Ali, M, Deerin, JF, Eltayeb, MA, Cruz Espinoza, LM, Gasmelseed, N, Im, J, Panzner, U, Kalckreuth, VV, Keddy, KH, Pak, GD, Park, JK, Park, SE, Sooka, A, Sow, AG, Tall, A, Luby, S, Meyer, CG, Marks, F
Format:	Journal article
Language:	English
Published:	Oxford University Press 2019

The Typhoid Fever Surveillance in Africa Program: Geospatial sampling frames for household-based studies: lessons learned from a multicountry surveillance network in Senegal, South Africa, and Sudan

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