Evidence map›Paper›PMID 36219745›Full record

ArticleJMIR formative research2022

Population Health Metrics During the Early Stages of the COVID-19 Pandemic: Correlative Pilot Study.

Marie A Severson, David A Cassada, Victor C Huber, Daniel D Snow, Lisa M McFadden

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Marie A SeversonDivision of Basic Biomedical Sciences, University of South Dakota, Vermillion, SD, United States.ORCID https://orcid.org/0000-0001-5870-0067
David A CassadaWater Sciences Laboratory, University of Nebraska-Lincoln, Lincoln, NE, United States.ORCID https://orcid.org/0000-0002-5434-8139
Victor C HuberDivision of Basic Biomedical Sciences, University of South Dakota, Vermillion, SD, United States.ORCID https://orcid.org/0000-0002-2555-1322
Daniel D SnowWater Sciences Laboratory, University of Nebraska-Lincoln, Lincoln, NE, United States.ORCID https://orcid.org/0000-0003-0885-0504
Lisa M McFaddenDivision of Basic Biomedical Sciences, University of South Dakota, Vermillion, SD, United States.ORCID https://orcid.org/0000-0002-1657-7758
University of South Dakota · USUniversity of Nebraska–Lincoln · US

Funding

Wichozani-A Healthy Lifestyle for Rural American Indian Youth through Cultural and Physical Activities: A Community-Based Participatory Research StudyP20GM103443 · NIGMS · UNIVERSITY OF SOUTH DAKOTA · PI Victor Chester Huber · 2012 to 2026
$58.1M
Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GUDA, CHITTIBABU · 2016 to 2025
$42.8M
Transdisciplinary approaches to American Indian and rural population health researchP20GM121341 · NIGMS · SANFORD RESEARCH/USD · PI ANGAL, JYOTI · 2017 to 2022
$11.8M
NIGMS NIH HHS P20 GM103443NIGMS NIH HHS P20 GM121341NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

backgroundCOVID-19 has caused nearly 1 million deaths in the United States, not to mention job losses, business and school closures, stay-at-home orders, and mask mandates. Many people have suffered increased anxiety and depression since the pandemic began. Not only have mental health symptoms become more prevalent, but alcohol consumption has also increased during this time. Helplines offer important insight into both physical and mental wellness of a population by offering immediate, anonymous, cheap, and accessible resources for health and substance use disorders (SUD) that was unobstructed by many of the mandates of the pandemic. Further, the pandemic also launched the use of wastewater surveillance, which has the potential for tracking not only population infections but also consumption of substances such as alcohol.

objectiveThis study assessed the feasibility of using multiple public surveillance metrics, such as helpline calls, COVID-19 cases, and alcohol metabolites in wastewater, to better understand the need for interventions or public health programs in the time of a public health emergency.

methodsEthanol metabolites were analyzed from wastewater collected twice weekly from September 29 to December 4, 2020, in a Midwestern state. Calls made to the helpline regarding housing, health care, and mental health/SUD were correlated with ethanol metabolites analyzed from wastewater samples, as well as the number of COVID-19 cases during the sampling period.

resultsCorrelations were observed between COVID-19 cases and helpline calls regarding housing and health care needs. No correlation was observed between the number of COVID-19 cases and mental health/SUD calls. COVID-19 cases on Tuesdays were correlated with the alcohol metabolite ethyl glucuronide (EtG). Finally, EtG levels were negatively associated with mental health/SUD helpline calls.

conclusionsAlthough helpline calls provided critical services for health care and housing-related concerns early in the pandemic, evidence suggests helpline calls for mental health/SUD-related concerns were unrelated to COVID-19 metrics. Instead, COVID metrics were associated with alcohol metabolites in wastewater. Although this research was formative, with continued and expanded monitoring of population metrics, such as helpline usage, COVID-19 metrics, and wastewater, strategies can be implemented to create precision programs to address the needs of the population.

Indexed as

COVID-19ethyl glucuronidehelplinestresswastewater

Identifiers

PMID36219745
PMCPMC9578522
OpenAlexW4304758908

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.