Evidence map›Paper›PMID 35350005›Full record

ArticleJournal of water and health2022

Harmful algal bloom-related 311 calls, Cape Coral, Florida 2018-2019.

Christopher K Uejio, Elaina Gonsoroski, Samendra P Sherchan, Leslie Beitsch, E W Harville, C Blackmore, K Pan, Maureen Y Lichtveld

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of water and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Christopher K UejioDepartment of Geography, College of Social Sciences and Public Policy, Florida State University, 113 Collegiate Loop, Tallahassee, FL 32306, USA E-mail: cuejio@fsu.edu.
Elaina GonsoroskiDepartment of Geography, College of Social Sciences and Public Policy, Florida State University, 113 Collegiate Loop, Tallahassee, FL 32306, USA E-mail: cuejio@fsu.edu.
Samendra P SherchanDepartment of Environmental Health Sciences, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 2100, New Orleans, LA 70112, USA.
Leslie BeitschDepartment of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, 115 W Call St, Tallahassee, FL 32304, USA.
E W HarvilleDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 2000, New Orleans, LA 70112, USA.
C BlackmoreDivision of Disease Control and Health Protection, Florida Department of Health, 4052 Bald Cypress Way, Tallahassee, FL 32399, USA.
K PanDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 2000, New Orleans, LA 70112, USA.
Maureen Y LichtveldDepartment of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, 130 DeSoto Street, Pittsburgh, PA 15261, USA.

Funding

Environmental influences on pregnancy outcomes after Hurricane MichaelR21ES031020 · NIEHS · TULANE UNIVERSITY OF LOUISIANA · PI HARVILLE, EMILY WHEELER, LICHTVELD, MAUREEN Y. · 2019 to 2020
$433k
NIEHS NIH HHS R21 ES031020
6 · The paper itself

Abstract

Harmful algal blooms (HABs) can adversely impact water quality and threaten human and animal health. People working or living along waterways with prolonged HAB contamination may face elevated toxin exposures and breathing complications. Monitoring HABs and potential adverse human health effects is notoriously difficult due to routes and levels of exposure that vary widely across time and space. This study examines the utility of 311 calls to enhance HAB surveillance and monitoring. The study focuses on Cape Coral, FL, USA, located along the banks of the Caloosahatchee River and Estuary and the Gulf of Mexico. The wider study area experienced a prolonged cyanobacteria bloom in 2018. The present study examines the relationship between weekly water quality characteristics (temperature, dissolved oxygen, pH, microcystin-LR) and municipal requests for information or services (algal 311 calls). Each 1 μg/L increase in waterborne microcystin-LR concentrations corresponded with 9% more algal 311 calls (95% confidence interval: 1.03-1.15, p = 0.002). The results suggest water quality monitoring and the 311 dispatch systems may be further integrated to improve public health surveillance.

Indexed as

AnthozoaHarmful Algal BloomAnimalsFloridaHumansRiversWater Quality

Identifiers

PMID35350005
PMCPMC12707983

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.