Evidence map›Paper›PMID 28993648›Full record

ArticleNature communications2017

Upstream watershed condition predicts rural children's health across 35 developing countries.

Diego Herrera, Alicia Ellis, Brendan Fisher, Christopher D Golden, Kiersten Johnson, Mark Mulligan, Alexander Pfaff, Timothy Treuer, Taylor H Ricketts

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
5.5field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 115 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. The role of soils in regulation of freshwater and coastal water quality.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  12. Review
  13. Article
  14. A Systems Understanding Underpins Actions at the Climate and Health Nexus.International journal of environmental research and public health · 2021
    Article
  15. Article
  16. Improving rural health care reduces illegal logging and conserves carbon in a tropical forest.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  17. Article
  18. Perceived Health Impacts of Watershed Development Projects in Southern India: A Qualitative Study.International journal of environmental research and public health · 2020
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Diego HerreraGund Institute for Environment, University of Vermont, 617 Main Street Burlington, Burlington, VT, 05405, USA. dherrera@edf.org.
Alicia EllisDuke Clinical Research Institute, Duke University, 2400 Pratt St Durham, Durham, NC, 27705, USA.
Brendan FisherGund Institute for Environment, University of Vermont, 617 Main Street Burlington, Burlington, VT, 05405, USA.
Christopher D GoldenDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Kiersten JohnsonUSAID Bureau for Food Security, 1300 Pennsylvania Ave NW, Washington, DC, 20004, USA.
Mark MulliganDepartment of Geography, King's College London, London, WC2R 2LS, UK.
Alexander PfaffSanford School of Public Policy, Duke University, 201 Science Dr, Durham, NC, 27708, USA.
Timothy TreuerDepartment of Ecology and Evolutionary Biology, Princeton University, 117 Eno Hall Princeton, Princeton, NJ, 08544, USA.
Taylor H RickettsGund Institute for Environment, University of Vermont, 617 Main Street Burlington, Burlington, VT, 05405, USA.ORCID http://orcid.org/0000-0001-9688-7977
University of Vermont · USDuke University · USHarvard University · USKing's College London · GBPrinceton University · USUnited States Agency for International Development · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diarrheal disease (DD) due to contaminated water is a major cause of child mortality globally. Forests and wetlands can provide ecosystem services that help maintain water quality. To understand the connections between land cover and childhood DD, we compiled a database of 293,362 children in 35 countries with information on health, socioeconomic factors, climate, and watershed condition. Using hierarchical models, here we find that higher upstream tree cover is associated with lower probability of DD downstream. This effect is significant for rural households but not for urban households, suggesting differing dependence on watershed conditions. In rural areas, the effect of a 30% increase in upstream tree cover is similar to the effect of improved sanitation, but smaller than the effect of improved water source, wealth or education. We conclude that maintaining natural capital within watersheds can be an important public health investment, especially for populations with low levels of built capital.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.

Indexed as

Child HealthEcosystemRiversRural PopulationChild, PreschoolDeveloping CountriesDiarrheaDysenteryFamily CharacteristicsForestsHumansInfantRural HealthSocioeconomic FactorsUrban Population

Identifiers

PMID28993648
PMCPMC5634511
OpenAlexW2737262485

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.