The COVID-19 pandemic has taken a heightened toll on people incarcerated in prisons in the United States, with those incarcerated experiencing a higher rate of infection and mortality than the US population more generally. What is less well known is the degree to which COVID-19 outcomes differ among incarcerated populations, especially by race and ethnicity, where significant differences have been found among the US population as a whole. To shed light on this topic, we analyzed mortality patterns of the population incarcerated in Texas state prison facilities during both the year before (beginning April 1, 2019) and the first year of (beginning April 1, 2020) the COVID-19 pandemic. COVID-19 mortality was 1.61 and 2.12 times higher for Black and Hispanic populations, respectively, when compared with the White population in Texas prisons. Strategies for COVID-19 mitigation in carceral settings, such as vaccination and decarceration, should include an equity component to minimize disparities. Read the full article [here](https://www.healthaffairs.org/doi/10.1377/hlthaff.2022.00390).
COVID-19 incidence and standardized mortality rates remained consistently higher among the prison population than the overall US population in the first year of the pandemic. While COVID-19 incidence and mortality rates peaked in late 2020 and early 2021 and have since declined, the cumulative toll of COVID-19 has been several times greater among the prison population than the overall US population. Read the full article [here](https://jamanetwork.com/journals/jama/fullarticle/2784944).
There is an increasing focus on reducing inequalities in health outcomes in developing countries. Subnational variation is of particular interest, with geographic data used to understand the spatial risk of detrimental outcomes and to identify who is at greatest risk. While some health surveys provide observations with associated geographic coordinates, many others provide data that have their locations masked and instead only report the strata within which the data resides. How to harmonize these data sources for spatial analysis has seen previously considered though no method has been agreed upon and comparison of the validity of methods are lacking. In this paper, we present a new method for analyzing masked survey data alongside traditional geolocated data, using a method that is consistent with the data generating process. Read the full article [here](https://journals.sagepub.com/doi/abs/10.1177/0962280220988742).
Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2—to end preventable child deaths by 2030—we need consistently estimated data at the subnational level regarding child mortality rates and trends. Read the full article [here](https://www.nature.com/articles/s41586-019-1545-0).
Understanding potential trajectories in health and drivers of health is crucial to guiding long term investments and policy implementation. Past work on forecasting has provided an incomplete landscape of future health scenarios, highlighting a need for a more robust modeling platform from which policy options and potential health trajectories can be assessed. Read the full article [here](https://www.thelancet.com/journals/lancet/article/PIIS0140-6736%2818%2931694-5/fulltext).