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  3. Ohio under COVID: Lessons from America's Heartland in Crisis

Ohio under COVID: Lessons from America's Heartland in Crisis

Katherine Sorrels, Vanessa Carbonell, Danielle Bessett, Lora Arduser, Edward V. Wallace, and Michelle L. McGowan, Editors
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In early March of 2020, Americans watched with uncertain terror as the novel coronavirus pandemic unfolded. One week later, Ohio announced its first confirmed cases. Just one year later, the state had over a million cases and 18,000 Ohioans had died. What happened in that first pandemic year is not only a story of a public health disaster, but also a story of social disparities and moral dilemmas, of lives and livelihoods turned upside down, and of institutions and safety nets stretched to their limits.  

Ohio under COVID tells the human story of COVID in Ohio, America's bellwether state. Scholars and practitioners examine the pandemic response from multiple angles, and contributors from numerous walks of life offer moving first-person reflections. Two themes emerge again and again: how the pandemic revealed a deep tension between individual autonomy and the collective good, and how it exacerbated social inequalities in a state divided along social, economic, and political lines. Chapters address topics such as mask mandates, ableism, prisons, food insecurity, access to reproductive health care, and the need for more Black doctors. The book concludes with an interview with Dr. Amy Acton, the state's top public health official at the time COVID hit Ohio. Ohio under COVID captures the devastating impact of the pandemic, both in the public discord it has unearthed and in the unfair burdens it has placed on the groups least equipped to bear them.

  • Cover
  • Half Title
  • Title Page
  • Copyright Page
  • Contents
  • Just a Sneeze
  • Acknowledgments
  • Introduction: COVID’s First Wave in Ohio: National Trends and Local Realities
  • Part One: Values in Conflict: Policy, Politics, and Ethics
    • 1 | “The Leader We Wish We All Had”: Ohio, Gender, and What the Pandemic Taught Us about the Politics of Public Health
    • 2 | Mike DeWine, Mask Mandates, and the Value of Moral Philosophy
    • 3 | Lessons in Resiliency during a Pandemic: Did We Do Everything We Could?
    • 4 | Abortion and the Politics of Care in Ohio during the COVID Pandemic
    • 5 | Bioethics and Critical Care in the Time of COVID
    • 6 | Bioethical Considerations in the Age of COVID: The Intersections of Medicine, Science, and Public Health in Ohio
    • 7 | The Effects of the COVID Pandemic on Students with Limited or Interrupted Formal Education
    • 8 | Remembering Past Pandemics: COVID News Coverage and Remembrance of the 1918 Flu Pandemic
  • Part Two: Left Behind: Communities and Individuals under Stress
    • 9 | Using Spatial Epidemiology to Better Understand COVID in Ohio
    • 10 | Prisons, Pandemics, and Personal Responsibility: COVID in Ohio’s Correctional Facilities
    • 11 | Cincinnati and COVID: The Urgent Need for African American Doctors
    • 12 | Old Problems, New Virus: Ableism in Ohio’s COVID Pandemic Response
    • 13 | Social Inequality: The Pandemic’s Disparate Impact on Food Insecurity among Marginalized Groups
    • 14 | Not Returning to Normalized Injustice: Reflections on Teaching and Learning While Living the Pandemic
    • 15 | Grace and Grief in Uncertain Times: An Account of Love and Dying during COVID
  • Afterword: Pandemic Lessons from Dr. Amy Acton
  • Editors and Contributors
  • Index
This book is freely available in an open access edition thanks to TOME—a collaboration of the Association of American Universities, the Association of University Presses, and the Association of Research Libraries—and the University of Cincinnati.
Citable Link
Published: 2023
Publisher: University of Michigan Press
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license
ISBN(s)
  • 978-0-472-05572-2 (paper)
  • 978-0-472-07572-0 (hardcover)
  • 978-0-472-90306-1 (open access)
Subject
  • Health & Medicine:Health Policy & Management
  • Disability Studies
  • Sociology

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Three maps display the spatial distribution of COVID-19 per 100,000 people in the world, in the United States, and in Ohio as of July 2022.

Spatial Distribution of COVID-19 in the world, the United States, and Ohio as of July 2022

From Chapter 9

Fig. 9.1.Spatial distribution of COVID-19 in the world (map on top), in the United States (map on bottom left), and in Ohio (map on bottom right) as of July 2022.

Two maps of Africa display the spatial distribution of malaria and HIV.

(A) Disease Mapping of Malaria in Africa (B) Disease Mapping of HIV in Africa

From Chapter 9

Fig. 9.2.Disease mapping of malaria and HIV. A) Spatial distribution of malaria prevalence in Africa (Hay and Snow 2006). B) Spatial distribution of HIV in Africa (Dwyer-Lindgren et al. 2019).

A map of Ohio shows the spatial distribution of the opioid overdose mortality rate per 1,000 people from 2010 to 2017.

Spatial Distribution of the Opioid Overdose Mortality Rate in Ohio, 2010-2017

From Chapter 9

Fig. 9.3.Spatial distribution of the opioid overdose mortality rate in Ohio, 2010–2017.

Two maps of Ohio. One shows the county-level distribution of intensive care unit (ICU) beds, major roads, and airport locations. Another shows the county distribution of different spatial risk groups including presence or proximity to airports and main highways

County-Level Distribution of ICU Beds and Distribution of Counties in Spatial Risk Groups

From Chapter 9

Fig. 9.4.County-level distribution of intensive care unit (ICU) beds (map on the left), and the distribution of the counties in the different spatial risk groups (map on the right) in Ohio. Group 1: counties with airports; Group 2: counties surrounding the counties with airports; Group 3: counties with main highways crossing the county; and Group 4: counties not surrounding counties with airports or being crossed by main highways.

Two density curve charts. One is the numbers of cumulative COVID-related hospitalizations in Ohio. The other is the numbers of cumulative COVID-related deaths in Ohio. Both charts assume different levels of change in the intensity of the March 2020 social distancing intervention.

Projected COVID-Related Hospitalizations and Deaths in Ohio Based on Social Distancing Intervention

From Chapter 9

Fig. 9.5.Projected number of cumulative numbers of COVID-related hospitalizations (top) and deaths (bottom) in Ohio assuming no change in the intensity of the March 2020 social distancing intervention (orange line), 20 percent reduction (grey line), 50 percent reduction (yellow line), and 70 percent reduction of the intervention (blue line).

Two panel maps of Ohio showing spatiotemporal dynamics from June 1 through June 30 for different levels of reduction of March 2020 social distancing interventions. One is of the number of intensive care unit (ICU) beds available. The other is of the cumulative number of COVID-related deaths.

Projection of Spatiotemporal Dynamics of ICU Beds Available and Number of COVID-Related Deaths

From Chapter 9

Fig. 9.6.Projection of the spatiotemporal dynamics of the intensive care unit (ICU) beds available (panel maps on the left) and cumulative number of COVID-related deaths (panel maps on the right) under different scenarios of relaxation of the March 2020 social distancing interventions in Ohio.

Two maps of Ohio showing the spatial distribution of the cumulative number of COVID-19-related deaths and COVID-19-related mortality risk from March 1 to May 5, 2020.

Number of COVID-Related Deaths and COVID-Related Mortality Risk in Ohio

From Chapter 9

Fig. 9.7.Spatial distribution of the cumulative number of COVID-19-related deaths (left) and COVID-19-related mortality risk (right) in Ohio from March 1 to May 5, 2020. A mortality risk > 1 indicates a higher risk of COVID-19-related death than expected based on the state average.

Bivariate map of Ohio showing county-level presence of COVID-19-related mortality risk and intensive care unit (ICU) availability from March 1 to May 5, 2020.

COVID-Related Mortality Risk and ICU Availability in Ohio

From Chapter 9

Fig. 9.8.Bivariate map of COVID-19-related mortality risk and intensive care unit (ICU) availability in Ohio from March 1 to May 5, 2020.

Bivariate map of the United States comparing COVID-19 incidence rates between the period of April 1 to May 31, 2020, and June 1 to July 31, 2020

COVID-19 Incidence Rates April 1-May 31, 2020 and June 1-July 31, 2020

From Chapter 9

Fig. 9.9.Bivariate map comparing COVID-19 incidence rates in both periods. The first time period was from April 1 to May 31, 2020. The second time period was from June 1 to July 31, 2020. Incidence rates were categorized in quantiles; dark green indicates counties with the highest incidence rate in the first period, whereas dark purple indicates counties with the highest incidence in the second period. Counties in black had high incidence rates in both periods.

Bivariate map of the United States comparing COVID-19 mortality rates between the period of April 1 to May 31, 2020, and June 1 to July 31, 2020

COVID-19 Mortality Rates April 1-May 31, 2020 and June 1-July 31, 2020

From Chapter 9

Fig. 9.10.Bivariate map comparing COVID-19 mortality rates in both periods. The first time period was from April 1 to May 31, 2020. The second time period was from June 1 to July 31, 2020. Dark green indicates counties with the highest mortality rate in the first period, whereas dark purple indicates counties with the highest mortality in the second period. Counties in black had high mortality rates in both periods. States outlined in red are in the higher incidence rate group.

Two maps of Ohio. One map shows the distribution of urban and rural counties. The other map is bivariate, comparing incidence rates of COVID-19 from April 1 to May 31, 2020, and June 1 to July 31, 2020.

Rural and Urban Ohio Counties and COVID-19 Incidence Rates April 1-May 31, 2020 and June 1-July 31, 2020

From Chapter 9

Fig. 9.11.Map on the top illustrates the distribution of the urban (blue) and rural (yellow) counties in Ohio. Map on the bottom illustrates a bivariate map comparing incidence rates of COVID-19 in both periods. The first time period was from April 1 to May 31, 2020. The second time period was from June 1 to July 31, 2020. Dark blue indicates counties with the highest incidence rate in the first period, whereas dark pink indicates counties with the highest mortality in the second period. Counties in dark purple had high incidence rates in both periods. Counties outlined in red are urban counties.

Map of Ohio showing county-level vaccination rates per 1000 people as of June 2021.

County-Level Vaccination Rates as of June 2021

From Chapter 9

Fig. 9.12.Vaccination rate per county in Ohio as for June 2021. Counties outlined in red are urban counties.

Bar chart showing the unemployment rate by race and hardest hit industries within Ohio in November 2020. The unemployment rate of Black and white people is compared in the industries of retail trade, food services and drinking places, and construction. In retail trade, 22.1% of Black people were unemployed compared to 4.8% of white people. In food services and drinking places, 24.8% of Black people were unemployed compared to 10.1% of white people. In construction, 34.4% of Black people were unemployed compared to 10% of white people

Unemployment Rate by Race and Hardest Hit Industries in Ohio, November 2020

From Chapter 13

Fig. 13.1.Campbell 2021.

Bar chart showing unemployment rate by educational achievement by race in Ohio in November 2020. The unemployment rate of Black and white people is compared among those with less than a high school education, high school, some college/associate degree, and a bachelor's degree or more. With the exception of Black people with some college or an Associate’s degree, unemployment rates for both races decrease with each higher level of education. For those with less than a high school education, 7% of white people compared to 19.7% of Black people were unemployed. For those who had completed high school, 5.2% of white people compared to 15.5% of Black people were unemployed. For those with some college or an associate degree, 4.3% of white people compared to 0.6% of Black people were unemployed. For those with a bachelor’s degree or more, 2.3% of white people compared to 10.8% of Black people were unemployed.

Unemployment Rate by Educational Achievement by Race in Ohio, November 2020

From Chapter 13

Fig. 13.2.Campbell 2021.

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