Estimating the local spatio-temporal distribution of malaria from routine health information systems in areas of low health care access and reporting.

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Bibliographic Details
Title: Estimating the local spatio-temporal distribution of malaria from routine health information systems in areas of low health care access and reporting.
Authors: Hyde E; Stanford University School of Medicine, Stanford, CA, USA., Bonds MH; Department of Global Health and Social Medicine, Harvard Medical School, Boston, USA.; NGO PIVOT, Ranomafana, Madagascar., Ihantamalala FA; Department of Global Health and Social Medicine, Harvard Medical School, Boston, USA.; NGO PIVOT, Ranomafana, Madagascar., Miller AC; Department of Global Health and Social Medicine, Harvard Medical School, Boston, USA., Cordier LF; NGO PIVOT, Ranomafana, Madagascar., Razafinjato B; NGO PIVOT, Ranomafana, Madagascar., Andriambolamanana H; NGO PIVOT, Ranomafana, Madagascar., Randriamanambintsoa M; Direction de La Démographie et des Statistiques Sociales, Institut National de La Statistique, Antananarivo, Madagascar., Barry M; Stanford University School of Medicine, Stanford, CA, USA.; Center for Innovation in Global Health, Stanford University, Stanford, CA, USA., Andrianirinarison JC; Ministry of Public Health, Antananarivo, Madagascar.; National Institute of Public Health, Antananarivo, Madagascar., Andriamananjara MN; Ministry of Public Health, Antananarivo, Madagascar., Garchitorena A; NGO PIVOT, Ranomafana, Madagascar. andres.garchitorena@gmail.com.; MIVEGEC, Univ. Montpellier, CNRS, IRD, Montpellier, France. andres.garchitorena@gmail.com.
Source: International journal of health geographics [Int J Health Geogr] 2021 Feb 12; Vol. 20 (1), pp. 8. Date of Electronic Publication: 2021 Feb 12.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101152198 Publication Model: Electronic Cited Medium: Internet ISSN: 1476-072X (Electronic) Linking ISSN: 1476072X NLM ISO Abbreviation: Int J Health Geogr Subsets: MEDLINE
Database: MEDLINE Ultimate
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