Evidence map›Paper›PMID 34271918›Full record

ArticleEnvironmental health : a global access science source2021

Acute health effects associated with satellite-determined cyanobacterial blooms in a drinking water source in Massachusetts.

Jianyong Wu, Elizabeth D Hilborn, Blake A Schaeffer, Erin Urquhart, Megan M Coffer, Cynthia J Lin, Andrey I Egorov

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Jianyong WuOak Ridge Institute for Science and Education participant at US EPA, Office of Research and Development, Research Triangle Park, Durham, NC, 27711, USA. Jianyong.wu@alumni.unc.edu.ORCID 0000-0002-5864-3186
Elizabeth D HilbornUS Environmental Protection Agency, Office of Research and Development, Research Triangle Park, Durham, NC, 27711, USA. Hilborn.E@epa.gov.
Blake A SchaefferUS Environmental Protection Agency, Office of Research and Development, Research Triangle Park, Durham, NC, 27711, USA.
Erin UrquhartScience Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Megan M CofferOak Ridge Institute for Science and Education participant at US EPA, Office of Research and Development, Research Triangle Park, Durham, NC, 27711, USA.
Cynthia J LinOak Ridge Institute for Science and Education participant at US EPA, Office of Research and Development, Research Triangle Park, Durham, NC, 27711, USA.
Andrey I EgorovUS Environmental Protection Agency, Office of Research and Development, Research Triangle Park, Durham, NC, 27711, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe occurrence of cyanobacterial blooms in freshwater presents a threat to human health. However, epidemiological studies on the association between cyanobacterial blooms in drinking water sources and human health outcomes are scarce. The objective of this study was to evaluate if cyanobacterial blooms were associated with increased emergency room visits for gastrointestinal (GI), respiratory and dermal illnesses.

methodsSatellite-derived cyanobacteria cell concentrations were estimated in the source of drinking water for the Greater Boston area, during 2008-2011. Daily counts of hospital emergency room visits for GI, respiratory and dermal illnesses among drinking water recipients were obtained from an administrative record database. A two-stage model was used to analyze time-series data for an association between cyanobacterial blooms and the occurrence of illnesses. At the first stage, predictive autoregressive generalized additive models for Poisson-distributed outcomes were fitted to daily illness count data and daily predictive variables. At the second stage, residuals from the first stage models were regressed against lagged categorized cyanobacteria concentration estimates.

resultsThe highest cyanobacteria concentration (above the 75th percentile) was associated with an additional 4.3 cases of respiratory illness (95% confidence interval: 0.7, 8.0, p = 0.02, n = 268) compared to cyanobacteria concentrations below the 50th percentile in a two-day lag. There were no significant associations between satellite derived cyanobacterial concentrations and lagged data on GI or dermal illnesses.

conclusionThe study demonstrated a significant positive association between satellite-derived cyanobacteria concentrations in source water and respiratory illness occurring 2 days later. Future studies will require direct measures of cyanotoxins and health effects associated with exposure to cyanobacteria-impacted drinking water sources.

Indexed as

CyanobacteriaEutrophicationWater PollutantsAcute DiseaseAir PollutantsDrinking WaterEmergency Service, HospitalEnvironmental MonitoringGastrointestinal DiseasesHumansMassachusettsRespiratory Tract DiseasesSatellite ImagerySkin DiseasesAir PollutantsDrinking WaterWater PollutantsCyanobacteriaDermalDrinking waterGastrointestinalHarmful algal bloomsHuman illnessRemote sensingRespiratorySatellite imagery

Identifiers

PMID34271918
PMCPMC8285816

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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.