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Multi-Dimensional COVID-19 Control in US: Identifying Counties with High and Low Levels of Success

Multi-Dimensional COVID-19 Control in US: Identifying Counties with High and Low Levels of Success | 3 Articles
Multi-Dimensional COVID-19 Control in US: Identifying Counties with High and Low Levels of Success | 3 Publications
Bishai, David M, Beth Resnick, Sneha Lamba, Carolina Cardona, Jonathon P Leider, Mac McCullough, and Alison Gemmill. 2022. “Being Accountable for Capability -- Getting Public Health Reform Right This Time”. Am J Public Health.
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Overview

An editorial by the S4A investigators at Johns Hopkins Bloomberg School of Public Health calls for reforms to the chronically underinvested public health system. Read "Being Accountable for Capability-Getting Public Health Reform Right This Time" in the American Journal of Public Health to learn why.

doi: 10.2105/AJPH.2022.306975

Lamba, Sneha, Carrie Wolfson, Carolina Cardona, Natalia Alfonso, Alison Gemmil, Beth Resnick, Jonathon P. Leider, Mac McCullough, and David Bishai. 2022. “Past local government health spending was not correlated with COVID-19 control in US counties”. ScienceDirect.
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Overview

S4A investigators at Johns Hopkins University look for a correlation between total non-hospital health spending by county governments before the pandemic, and how fast a county was able to control the first wave of COVID-19 from March to June of 2020. The research team finds substantial variation in county and state health spending in the US. While county level non-hospital health spending before pandemic was not associated with early control over COVID-19, state level spending on hazard preparation was in some model specifications.

Read the full article in ScienceDirect to learn more about their findings.

https://doi.org/10.1016/j.ssmph.2022.101027

Fabic, Madeleine Short, Yoonjoung Choi, and David Bishai. 2020. “Deaths among COVID Cases in the United States: Racial and Ethnic Disparities Persist”. MedRxiv.
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Overview

S4A investigators use COVID-19 Case Surveillance Public Use Data by the Centers for Disease Control and Prevention to estimate monthly age-adjusted case fatality rates (CFR) for four major groups: non-Hispanic (NH) whites, NH Blacks, NH Asians, and Hispanics; and, upon analyzing the data find racial and ethnic disparities.

Read "Deaths among COVID Cases in the United States: Racial and Ethnic Disparities Persist" in medRxiv.

Deaths among COVID Cases in the United States: Racial and Ethnic Disparities Persist Madeleine Short Fabic, Yoonjoung Choi, David Bishai medRxiv 2020.11.15.20232066; doi: https://doi.org/10.1101/2020.11.15.20232066