Upstream watershed condition predicts rural children’s health across 35 developing countries
Globally diarrheal disease through contaminated water sources is a major cause of child mortality. Here, the authors compile a database of 293,362 children in 35 countries and find that upstream tree cover is linked to a lower probability of diarrheal disease and that increasing tree cover may lower...
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Nature Portfolio
2017
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oai:doaj.org-article:c013aa0529b744f291529d8035e1057f2021-12-02T17:06:07ZUpstream watershed condition predicts rural children’s health across 35 developing countries10.1038/s41467-017-00775-22041-1723https://doaj.org/article/c013aa0529b744f291529d8035e1057f2017-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-00775-2https://doaj.org/toc/2041-1723Globally diarrheal disease through contaminated water sources is a major cause of child mortality. Here, the authors compile a database of 293,362 children in 35 countries and find that upstream tree cover is linked to a lower probability of diarrheal disease and that increasing tree cover may lower mortality.Diego HerreraAlicia EllisBrendan FisherChristopher D. GoldenKiersten JohnsonMark MulliganAlexander PfaffTimothy TreuerTaylor H. RickettsNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-8 (2017) |
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Science Q Diego Herrera Alicia Ellis Brendan Fisher Christopher D. Golden Kiersten Johnson Mark Mulligan Alexander Pfaff Timothy Treuer Taylor H. Ricketts Upstream watershed condition predicts rural children’s health across 35 developing countries |
description |
Globally diarrheal disease through contaminated water sources is a major cause of child mortality. Here, the authors compile a database of 293,362 children in 35 countries and find that upstream tree cover is linked to a lower probability of diarrheal disease and that increasing tree cover may lower mortality. |
format |
article |
author |
Diego Herrera Alicia Ellis Brendan Fisher Christopher D. Golden Kiersten Johnson Mark Mulligan Alexander Pfaff Timothy Treuer Taylor H. Ricketts |
author_facet |
Diego Herrera Alicia Ellis Brendan Fisher Christopher D. Golden Kiersten Johnson Mark Mulligan Alexander Pfaff Timothy Treuer Taylor H. Ricketts |
author_sort |
Diego Herrera |
title |
Upstream watershed condition predicts rural children’s health across 35 developing countries |
title_short |
Upstream watershed condition predicts rural children’s health across 35 developing countries |
title_full |
Upstream watershed condition predicts rural children’s health across 35 developing countries |
title_fullStr |
Upstream watershed condition predicts rural children’s health across 35 developing countries |
title_full_unstemmed |
Upstream watershed condition predicts rural children’s health across 35 developing countries |
title_sort |
upstream watershed condition predicts rural children’s health across 35 developing countries |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/c013aa0529b744f291529d8035e1057f |
work_keys_str_mv |
AT diegoherrera upstreamwatershedconditionpredictsruralchildrenshealthacross35developingcountries AT aliciaellis upstreamwatershedconditionpredictsruralchildrenshealthacross35developingcountries AT brendanfisher upstreamwatershedconditionpredictsruralchildrenshealthacross35developingcountries AT christopherdgolden upstreamwatershedconditionpredictsruralchildrenshealthacross35developingcountries AT kierstenjohnson upstreamwatershedconditionpredictsruralchildrenshealthacross35developingcountries AT markmulligan upstreamwatershedconditionpredictsruralchildrenshealthacross35developingcountries AT alexanderpfaff upstreamwatershedconditionpredictsruralchildrenshealthacross35developingcountries AT timothytreuer upstreamwatershedconditionpredictsruralchildrenshealthacross35developingcountries AT taylorhricketts upstreamwatershedconditionpredictsruralchildrenshealthacross35developingcountries |
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1718381755080114176 |