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

BACKGROUND: COVID-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 bec...

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Autores principales: Severson, Marie A, Cassada, David A, Huber, Victor C, Snow, Daniel D, McFadden, Lisa M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578522/
https://www.ncbi.nlm.nih.gov/pubmed/36219745
http://dx.doi.org/10.2196/40215
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author Severson, Marie A
Cassada, David A
Huber, Victor C
Snow, Daniel D
McFadden, Lisa M
author_facet Severson, Marie A
Cassada, David A
Huber, Victor C
Snow, Daniel D
McFadden, Lisa M
author_sort Severson, Marie A
collection PubMed
description BACKGROUND: COVID-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. OBJECTIVE: This 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. METHODS: Ethanol 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. RESULTS: Correlations 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. CONCLUSIONS: Although 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.
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spelling pubmed-95785222022-10-19 Population Health Metrics During the Early Stages of the COVID-19 Pandemic: Correlative Pilot Study Severson, Marie A Cassada, David A Huber, Victor C Snow, Daniel D McFadden, Lisa M JMIR Form Res Original Paper BACKGROUND: COVID-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. OBJECTIVE: This 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. METHODS: Ethanol 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. RESULTS: Correlations 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. CONCLUSIONS: Although 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. JMIR Publications 2022-10-17 /pmc/articles/PMC9578522/ /pubmed/36219745 http://dx.doi.org/10.2196/40215 Text en ©Marie A Severson, David A Cassada, Victor C Huber, Daniel D Snow, Lisa M McFadden. Originally published in JMIR Formative Research (https://formative.jmir.org), 17.10.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Severson, Marie A
Cassada, David A
Huber, Victor C
Snow, Daniel D
McFadden, Lisa M
Population Health Metrics During the Early Stages of the COVID-19 Pandemic: Correlative Pilot Study
title Population Health Metrics During the Early Stages of the COVID-19 Pandemic: Correlative Pilot Study
title_full Population Health Metrics During the Early Stages of the COVID-19 Pandemic: Correlative Pilot Study
title_fullStr Population Health Metrics During the Early Stages of the COVID-19 Pandemic: Correlative Pilot Study
title_full_unstemmed Population Health Metrics During the Early Stages of the COVID-19 Pandemic: Correlative Pilot Study
title_short Population Health Metrics During the Early Stages of the COVID-19 Pandemic: Correlative Pilot Study
title_sort population health metrics during the early stages of the covid-19 pandemic: correlative pilot study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578522/
https://www.ncbi.nlm.nih.gov/pubmed/36219745
http://dx.doi.org/10.2196/40215
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