Evidence map›Paper›PMID 31940920›Full record

ArticleInternational journal of environmental research and public health2020

Pathogen-Specific Impacts of the 2011-2012 La Niña-Associated Floods on Enteric Infections in the MAL-ED Peru Cohort: A Comparative Interrupted Time Series Analysis.

Josh Colston, Maribel Paredes Olortegui, Benjamin Zaitchik, Pablo Peñataro Yori, Gagandeep Kang, Tahmeed Ahmed, Pascal Bessong, Esto Mduma, Zulfiqar Bhutta, Prakash Sunder Shrestha and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 4 pooled it
0.6field-weighted citation impact, top 20% 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

29 citing papers in PubMed, 4 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Waterborne diseases and climate change.Nature reviews. Microbiology · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Short-term dynamics of linear growth among Peruvian infants in the first year of life in a population with linear growth faltering.American journal of human biology : the official journal of the Human Biology Council · 2024
    Article
  15. Article
  16. The Enterics for Global Health (EFGH)Open forum infectious diseases · 2024
    Article
  17. Review
  18. Article
  19. Article
  20. Ten Years for GHSP: Where Are We Now? Where Will We Go?Global health, science and practice · 2023
    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

12 authors at 10 institutions in 9 countries.

Josh ColstonDivision of Infectious Diseases and International Health, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Maribel Paredes OlorteguiAsociación Benéfica Prisma, Iquitos 16006, Peru.
Benjamin ZaitchikDepartment of Earth and Planetary Sciences, Johns Hopkins Krieger School of Arts and Sciences, Baltimore, MD 21218, USA.
Pablo Peñataro YoriDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA 22903, USA.
Gagandeep KangChristian Medical College, Vellore 632004, India.
Tahmeed AhmedNutrition & Clinical Services Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1213, Bangladesh.
Pascal BessongUniversity of Venda, Thohoyandou 0950, South Africa.ORCID 0000-0003-0561-272X
Esto MdumaHaydom Global Health Institute, Haydom P.O. Box 9000, Tanzania.
Zulfiqar BhuttaDepartment of Pediatrics and Child Health, Aga Khan University, Karachi 74800, Pakistan.
Prakash Sunder ShresthaDepartment of Child Health, Institute of Medicine of Tribhuvan University, Kirtipur 44618, Nepal.
Aldo LimaFederal University of Ceará, Fortaleza 60020-181, Brazil.
Margaret KosekDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA 22903, USA.
University of Virginia · USAga Khan University · PKChristian Medical College, Vellore · INHaydom Lutheran Hospital · TZInternational Centre for Diarrhoeal Disease Research · BDJohns Hopkins University · USPrisma · PETribhuvan University · NPUniversidade Federal do Ceará · BRUniversity of Venda · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extreme floods pose multiple direct and indirect health risks. These risks include contamination of water, food, and the environment, often causing outbreaks of diarrheal disease. Evidence regarding the effects of flooding on individual diarrhea-causing pathogens is limited, but is urgently needed in order to plan and implement interventions and prioritize resources before climate-related disasters strike. This study applied a causal inference approach to data from a multisite study that deployed broadly inclusive diagnostics for numerous high-burden common enteropathogens. Relative risks (RRs) of infection with each pathogen during a flooding disaster that occurred at one of the sites-Loreto, Peru-were calculated from generalized linear models using a comparative interrupted time series framework with the other sites as a comparison group and adjusting for background seasonality. During the early period of the flood, increased risk of heat-stable enterotoxigenic

Indexed as

DisastersEl Nino-Southern OscillationFloodsDiarrheaEscherichia coliHumansInterrupted Time Series AnalysisPeruSanitationShigellaclimate changediarrheal diseaseENSOenteric bacteriaenteric virusesfloodinginfectious diseaseLa Niñanatural disastersrotavirus

Identifiers

PMID31940920
PMCPMC7013961
OpenAlexW2999361648

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.