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Estimating the distribution of morbidity and mortality of childhood diarrhea, measles, and pneumonia by wealth group in low- and middle-income countries.

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Title: Estimating the distribution of morbidity and mortality of childhood diarrhea, measles, and pneumonia by wealth group in low- and middle-income countries.
Authors: Chang AY; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA., Riumallo-Herl C; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Erasmus School of Economics, Erasmus University of Rotterdam, Rotterdam, The Netherlands., Salomon JA; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Resch SC; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA., Brenzel L; Bill & Melinda Gates Foundation, Seattle, WA, USA., Verguet S; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA. verguet@hsph.harvard.edu.
Source: BMC medicine [BMC Med] 2018 Jul 04; Vol. 16 (1), pp. 102. Date of Electronic Publication: 2018 Jul 04.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101190723 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7015 (Electronic) Linking ISSN: 17417015 NLM ISO Abbreviation: BMC Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Estimating the distribution of morbidity and mortality of childhood diarrhea, measles, and pneumonia by wealth group in low- and middle-income countries.
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  Data: <searchLink fieldCode="AU" term="%22Chang+AY%22">Chang AY</searchLink>; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Riumallo-Herl+C%22">Riumallo-Herl C</searchLink>; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Erasmus School of Economics, Erasmus University of Rotterdam, Rotterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Salomon+JA%22">Salomon JA</searchLink>; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Resch+SC%22">Resch SC</searchLink>; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Brenzel+L%22">Brenzel L</searchLink>; Bill & Melinda Gates Foundation, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Verguet+S%22">Verguet S</searchLink>; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA. verguet@hsph.harvard.edu.
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  Data: <searchLink fieldCode="JN" term="%22101190723%22">BMC medicine</searchLink> [BMC Med] 2018 Jul 04; Vol. 16 (1), pp. 102. <i>Date of Electronic Publication: </i>2018 Jul 04.
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