Evidence map›Paper›PMID 31765827›Full record

ArticleWater research2020

A critical analysis of recreational water guidelines developed from temperate climate data and applied to the tropics.

Marc P Verhougstraete, Kristen Pogreba-Brown, Kelly A Reynolds, Claudia Condé Lamparelli, Maria Inês Zanoli Sato, Timothy J Wade, Joseph N S Eisenberg

Open access · greenAbstract read
In one paragraph

Article in Water research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

7 authors at 4 institutions in 2 countries.

Marc P VerhougstraeteThe University of Arizona, Mel and Enid Zuckerman College of Public Health, Department of Community Environment and Policy, USA. Electronic address: mverhougstraete@email.arizona.edu.
Kristen Pogreba-BrownThe University of Arizona, Mel and Enid Zuckerman College of Public Health, Department of Epidemiology and Biostatistics, USA. Electronic address: kpogreba@email.arizona.edu.
Kelly A ReynoldsThe University of Arizona, Mel and Enid Zuckerman College of Public Health, Department of Community Environment and Policy, USA. Electronic address: reynolds@email.arizona.edu.
Claudia Condé LamparelliCoastal Water Sector, Environmental Company of São Paulo State (CETESB), São Paulo, Brazil. Electronic address: clamparelli@sp.gov.br.
Maria Inês Zanoli SatoEnvironmental Analysis Department, Environmental Company of São Paulo State (CETESB), São Paulo, Brazil. Electronic address: misato@sp.gov.br.
Timothy J WadeUnited States Environmental Protection Agency, Chapel Hill, NC, USA.
Joseph N S EisenbergUniversity of Michigan, School of Public Health, Department of Epidemiology, 1415 Washington Heights, Ann Arbor, MI, 48109, USA. Electronic address: jnse@umich.edu.
University of Arizona · USSão Paulo State Technological College · BREnvironmental Protection Agency · USUniversity of Michigan · US

Funding

Modeling the Effects of the Environment on Enteric Pathogen DynamicsU01GM110712 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI EISENBERG, JOSEPH N. S. · 2014 to 2018
$3.0M
NIGMS NIH HHS U01 GM110712
6 · The paper itself

Abstract

Recreational water epidemiology studies are rare in settings with minimal wastewater treatment where risk may be highest, and in tropical settings where warmer temperature influences the ecology of fecal indicator bacteria commonly used to monitor recreational waters. One exception is a 1999 study conducted in São Paulo Brazil. We compared the risk and exposure characteristics of these data with those conducted in the United Kingdom (UK) in the early 1990s that are the basis of the World Health Organization's (WHO) guidelines on recreational water risks. We then developed adjusted risk difference models (excess gastrointestinal illness per swimming event) for children (<10 years of age) and non-children (≥10 years of age) across five Brazil beaches. We used these models along with beach water quality data from 2004 to 2015 to assess spatial and temporal trends in water quality and human risk. Risk models indicate that children in Brazil have as much as two times the risk of gastrointestinal illness than non-children. In Brazil, 11.8% of the weekly water samples from 2004 to 2015 exceeded 158 enterococci CFU/100 ml, the highest level of fecal streptococci concentration measured in the UK study. Risks associated with these elevated levels equated to median NEEAR-Gastrointestinal Illness (NGI) risks of 53 and 96 excess cases per 1000 swimmers in non-children and children, respectively. Two of the five beaches appear to drive the overall elevated NGI risks seen during this study. Distinct enteric pathogen profiles that exist in tropical settings as well as in settings with minimal wastewater treatment highlight the importance of regionally specific guideline development.

Indexed as

Bathing BeachesWater MicrobiologyBrazilChildClimateEnvironmental MonitoringFecesHumansUnited KingdomBeachesBrazilEnterococciEscherichia coliQuantitative microbial risk assessmentSouth America

Identifiers

PMID31765827
PMCPMC6962556
OpenAlexW2989373890

What OpenQuestion holds

Textmetadata
LicenceTDM
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.