ArticlePloS one2017
Effect of drinking water source on associations between gastrointestinal illness and heavy rainfall in New Jersey.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- Rainfall and Temperature Influences on Childhood Diarrhea and the Effect Modification Role of Water and Sanitation Conditions: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2024Pooled it
- Understanding the Impact of Rainfall on Diarrhea: Testing the Concentration-Dilution Hypothesis Using a Systematic Review and Meta-Analysis.Environmental health perspectives · 2020Pooled it
- New York State Climate Impacts Assessment Chapter 07: Human Health and Safety.Annals of the New York Academy of Sciences · 2024Review
- Association between Combined Sewer Overflow Events and Gastrointestinal Illness in Massachusetts Municipalities with and without River-Sourced Drinking Water, 2014-2019.Environmental health perspectives · 2024Article
- Hydrometeorology and geography affect hospitalizations for waterborne infectious diseases in the United States: A retrospective analysis.PLOS water · 2024Article
- Projecting the Impacts of a Changing Climate: Tropical Cyclones and Flooding.Current environmental health reports · 2022Review
- Hurricane flooding and acute gastrointestinal illness in North Carolina.The Science of the total environment · 2022Article
- Overview of the Potential Impacts of Climate Change on the Microbial Safety of the Dairy Industry.Foods (Basel, Switzerland) · 2020Review
- Article
- Climate Change Impacts on Waterborne Diseases: Moving Toward Designing Interventions.Current environmental health reports · 2018Review
- Extreme Precipitation, Public Health Emergencies, and Safe Drinking Water in the USA.Current environmental health reports · 2018Review
- Changes in extreme events and the potential impacts on human health.Journal of the Air & Waste Management Association (1995) · 2018Article
- Residential proximity to high-density poultry operations associated with campylobacteriosis and infectious diarrhea.International journal of hygiene and environmental health · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastrointestinal illness (GI) has been associated with heavy rainfall. Storm events and periods of heavy rainfall and runoff can result in increased microbiological contaminants in raw water. Surface water supplies are open to the environment and runoff can directly influence the presence of contaminants. A time-stratified bi-directional case-crossover study design was used to estimate associations of heavy rainfall and hospitalizations for GI. Cases of GI were identified as in-patient hospitalization with a primary diagnosis of infectious disease associated diarrhea [ICD-9 codes: specified gastrointestinal infections 001-009.9 or diarrhea 787.91] among the residents of New Jersey from 2009 to 2013 resulting in a final sample size of 47,527 cases. Two control days were selected on the same days of the week as the case day, within fixed 21-day strata. Conditional logistic regression was used to estimate odds ratios controlling for temperature and humidity. To determine potential effect modification estimates were stratified by season (warm or cold) and drinking water source (groundwater, surface water, or 'other' category). Stratified analyses by drinking water source and season identified positive associations of rainfall and GI hospitalizations in surface water systems during the warm season with no lag (OR = 1.12, 95% CI 1.05-1.19) and a 2-day lag (OR = 1.09, 95% CI 1.03-1.16). Positive associations in 'Other' water source areas (served by very small community water systems, private wells, or unknown) during the warm season with a 4-day lag were also found. However, there were no statistically significant positive associations in groundwater systems during the warm season. The results suggest that water systems with surface water sources can play an important role in preventing GI hospitalizations during and immediately following heavy rainfall. Regulators should work with water system providers to develop system specific prevention techniques to limit the impact of heavy rainfall on public health.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.