Evidence map›Paper›PMID 40895163›Full record

ArticlePLOS water2024

Hydrometeorology and geography affect hospitalizations for waterborne infectious diseases in the United States: A retrospective analysis.

Victoria D Lynch, Jeffrey Shaman

Abstract read
In one paragraph

Article in PLOS water, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

2 authors.

Victoria D LynchDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, Columbia University, New York, New York, United States of America.ORCID 0000-0003-0966-5474
Jeffrey ShamanDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, Columbia University, New York, New York, United States of America.

Funding

Quantifying Error Growth to Improve Infectious Disease Forecast AccuracyR01AI163023 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI JEFFREY L SHAMAN · 2021 to 2026
$3.3M
Interdisciplinary Training in Climate and HealthT32ES023770 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHAMAN, JEFFREY L · 2014 to 2019
$1.5M
NIAID NIH HHS R01 AI163023NIEHS NIH HHS T32 ES023770
6 · The paper itself

Abstract

Meteorology, hydroclimatology, and drinking water infrastructure influence the transmission of waterborne infectious diseases in the United States, but their roles are not well-understood and may vary by pathogen type or geographic region. Waterborne pathogens can cause severe intestinal, respiratory, or systemic infections in vulnerable people. Identifying the mechanisms that underlie contamination events and disease transmission is particularly important given that climate change may lead to more extreme floods, droughts, and seasonal precipitation. The association of meteorological variables, drinking water source, geographic region, and location (rural/urban) with hospitalizations for 12 waterborne bacterial, parasitic, and viral infections was examined using 12 years of hospitalization data from 516 hospitals in 25 states. A multimodel inference approach was used to identify the most highly-weighted explanatory variables and these were included in a generalized linear mixed model (GLMM) framework. There was a 16% (95% CI: 8%-24%) decrease in hospitalizations for the bacterial pathogen group in urban compared to rural areas; for

Identifiers

PMID40895163
PMCPMC12392087

What OpenQuestion holds

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Registered trials

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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.