Rural Health
Resources by Topic: Infectious diseases
Human Biomonitoring Without In-Person Interaction: Public Health Engagements During the COVID-19 Pandemic and Future Implications
Examines engagement approaches of biomonitoring and discusses the feasibility of utilizing non-contact methods for public health research. Analyzes distance-based approaches for research such as recruitment mailers, phone conversations, internet surveys, and self-collected and shipped samples. Includes reflections on non-contact methods to engage rural populations in research during the COVID-19 pandemic and in the future.
Author(s): Alyssa J. Mattson, Jiali Yu, Elizabeth M. Miller, et al.
Citation: BMC Medical Research Methodology, 24, 53
Date: 02/2024
Type: Document
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Examines engagement approaches of biomonitoring and discusses the feasibility of utilizing non-contact methods for public health research. Analyzes distance-based approaches for research such as recruitment mailers, phone conversations, internet surveys, and self-collected and shipped samples. Includes reflections on non-contact methods to engage rural populations in research during the COVID-19 pandemic and in the future.
Author(s): Alyssa J. Mattson, Jiali Yu, Elizabeth M. Miller, et al.
Citation: BMC Medical Research Methodology, 24, 53
Date: 02/2024
Type: Document
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Net Migration Spurs Renewed Growth in Rural Areas of the United States
Discusses population migration data showing trends in metropolitan and nonmetropolitan population migration between 2019 and 2022 and within rural regions across the country. Notes impact of COVID-19 on trends.
Author(s): John Cromartie
Date: 02/2024
Type: Document
Sponsoring organization: USDA Economic Research Service
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Discusses population migration data showing trends in metropolitan and nonmetropolitan population migration between 2019 and 2022 and within rural regions across the country. Notes impact of COVID-19 on trends.
Author(s): John Cromartie
Date: 02/2024
Type: Document
Sponsoring organization: USDA Economic Research Service
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Rural Employment Has Returned to Pre-COVID-19 Pandemic Level
Chart comparing rural and urban employment levels by quarter between 2019 and 2023. Notes COVID-19 pandemic impacts.
Date: 02/2024
Type: Chart/Graph
Sponsoring organization: USDA Economic Research Service
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Chart comparing rural and urban employment levels by quarter between 2019 and 2023. Notes COVID-19 pandemic impacts.
Date: 02/2024
Type: Chart/Graph
Sponsoring organization: USDA Economic Research Service
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NCHS Rapid Surveys System: Long COVID
Interactive data showing beliefs about and experiences with Long COVID in adults. Includes data breakdown of where a person would get more information about Long COVID by characteristics such as age, race and ethnicity, urbanicity, and more. Data gathered by the National Center for Health Statistics in August 2023.
Date: 02/2024
Type: Chart/Graph
Sponsoring organization: National Center for Health Statistics
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Interactive data showing beliefs about and experiences with Long COVID in adults. Includes data breakdown of where a person would get more information about Long COVID by characteristics such as age, race and ethnicity, urbanicity, and more. Data gathered by the National Center for Health Statistics in August 2023.
Date: 02/2024
Type: Chart/Graph
Sponsoring organization: National Center for Health Statistics
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Human Papillomavirus Vaccination Coverage in Children Ages 9–17 Years: United States, 2022
Offers parent-reported data on the percentage of children 9-17 years of age who received at least one dose of the HPV (human papillomavirus) vaccine. Includes date for metropolitan and nonmetro areas.
Author(s): Maria A. Villarroel, Adena M. Galinsky, Peng-Jun Lu, Cassandra Pingali
Date: 02/2024
Type: Document
Sponsoring organization: National Center for Health Statistics
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Offers parent-reported data on the percentage of children 9-17 years of age who received at least one dose of the HPV (human papillomavirus) vaccine. Includes date for metropolitan and nonmetro areas.
Author(s): Maria A. Villarroel, Adena M. Galinsky, Peng-Jun Lu, Cassandra Pingali
Date: 02/2024
Type: Document
Sponsoring organization: National Center for Health Statistics
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Association of Social Vulnerability Index and Masking Adherence among Children Enrolled in COVID-19 Community Research Partnership Study
Examines the relationship between social vulnerability and masking during the COVID-19 pandemic among children aged 2 to 17 years old and living in the Southeast. Provides data on masking adherence according to age, race/ethnicity, sex, social vulnerability, and rural, suburban, or urban location.
Author(s): Keerti L. Dantuluri, Asare Buahin, Diane Uschner, et al.
Citation: BMC Public Health, 24, 410
Date: 02/2024
Type: Document
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Examines the relationship between social vulnerability and masking during the COVID-19 pandemic among children aged 2 to 17 years old and living in the Southeast. Provides data on masking adherence according to age, race/ethnicity, sex, social vulnerability, and rural, suburban, or urban location.
Author(s): Keerti L. Dantuluri, Asare Buahin, Diane Uschner, et al.
Citation: BMC Public Health, 24, 410
Date: 02/2024
Type: Document
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Excess Natural-Cause Mortality in US Counties and Its Association with Reported COVID-19 Deaths
Evaluates excess deaths between March 2020 and August 2022 to determine how many may be attributable to COVID-19. Includes data break down across time, at the metropolitan and nonmetropolitan levels, and by Census division. Offers potential explanations for inaccurate counts and implications for public health policy.
Author(s): Eugenio Paglino, Dielle J. Lundberg, Andrew C. Stokes
Citation: PNAS, 121(6), e2313661121
Date: 02/2024
Type: Document
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Evaluates excess deaths between March 2020 and August 2022 to determine how many may be attributable to COVID-19. Includes data break down across time, at the metropolitan and nonmetropolitan levels, and by Census division. Offers potential explanations for inaccurate counts and implications for public health policy.
Author(s): Eugenio Paglino, Dielle J. Lundberg, Andrew C. Stokes
Citation: PNAS, 121(6), e2313661121
Date: 02/2024
Type: Document
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COVID-19 and Mental Health in Ohio: Trends from 2017 to 2021
Analyzes mental health impairment (MHI) in Ohio residents in 2017, 2019, and 2021 to observe pandemic-related trends and disparities. Includes data breakdowns by sociodemographic characteristics, fiscal stability, health status indicators, insurance status, and Appalachian, metropolitan, rural non-Appalachian, or suburban location.
Author(s): Megan E. Roberts, Dushka Crane, Lauren Elliott-Dorans, et al.
Citation: Ohio Journal of Public Health, 6(1)
Date: 02/2024
Type: Document
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Analyzes mental health impairment (MHI) in Ohio residents in 2017, 2019, and 2021 to observe pandemic-related trends and disparities. Includes data breakdowns by sociodemographic characteristics, fiscal stability, health status indicators, insurance status, and Appalachian, metropolitan, rural non-Appalachian, or suburban location.
Author(s): Megan E. Roberts, Dushka Crane, Lauren Elliott-Dorans, et al.
Citation: Ohio Journal of Public Health, 6(1)
Date: 02/2024
Type: Document
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Early Impacts of the Pennsylvania Rural Health Model on Potentially Avoidable Utilization
Assesses the impact of the Pennsylvania Rural Health Model (PARHM) on potentially avoidable utilization rates between 2016 and 2022 by comparing participating and non-participating hospitals. Discusses the potential impact of COVID-19 on results.
Author(s): Donald S. Bourne, Eric T. Roberts, Lindsay M. Sabik
Citation: Health Affairs Scholar, 2(2)
Date: 02/2024
Type: Document
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Assesses the impact of the Pennsylvania Rural Health Model (PARHM) on potentially avoidable utilization rates between 2016 and 2022 by comparing participating and non-participating hospitals. Discusses the potential impact of COVID-19 on results.
Author(s): Donald S. Bourne, Eric T. Roberts, Lindsay M. Sabik
Citation: Health Affairs Scholar, 2(2)
Date: 02/2024
Type: Document
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Rural Areas Experienced Renewed Population Growth Following the COVID-19 Pandemic
Line chart showing population change between 1978 and 2022 for metropolitan and nonmetropolitan areas in addition to the U.S. total. Discusses impacts of COVID-19 pandemic.
Date: 02/2024
Type: Chart/Graph
Sponsoring organization: USDA Economic Research Service
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Line chart showing population change between 1978 and 2022 for metropolitan and nonmetropolitan areas in addition to the U.S. total. Discusses impacts of COVID-19 pandemic.
Date: 02/2024
Type: Chart/Graph
Sponsoring organization: USDA Economic Research Service
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