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This paper examines the determinants of the spread of coronavirus disease 2019 (COVID-19) in Africa, based on the framework of social determinants of health. Applying Poisson Pseudo Maximum Likelihood (PPML) and quantile regressions to panel data and country-specific socioeconomic background data from 53 African countries, the study finds that enhancing capacity for early testing helps for timeous uncovering of cases, early isolation and contact tracing for effective control of the spread. Other factors such as managing of international movements through reduction of international exposure and ensuring better sanitation and hygiene were found to be relevant in diminishing COVID-19 spread, whereas alcohol consumption and population density heighten the spread. The work also highlights that stringent measures will be counter-productive unless they are coupled with measures to create...

The economic and health consequences of the COVID-19 pandemic pose a particular threat to vulnerable groups, such as migrants, particularly forcibly displaced populations. The aim of this review is (i) to synthesise the evidence on risk of infection and transmission among migrants, refugees, asylum seekers and internally displaced populations, and (ii) the effect of lockdown measures on these populations. We searched MEDLINE and WOS, preprint servers, and pertinent websites between 1st December 2019 and 26th June 2020. The included studies showed a high heterogeneity in study design, population, outcome and quality. The incidence risk of SARS-CoV-2 varied from 0•12% to 2•08% in non-outbreak settings and from 5•64% to 21•15% in outbreak settings. Migrants showed a lower hospitalisation rate compared to non-migrants. Negative impacts on mental health due to lockdown measures...

The COVID-19 pandemic substantially increased medical care requirements and associated costs in the older fee-for-service (FFS) Medicare beneficiary population in the USA, according to a study published in Annals of Internal Medicine.

Evidence that more people in some countries and fewer in others are dying because of the pandemic, than is reflected by reported Covid-19 mortality rates, is derived from mortality data. Using publicly available databases, deaths attributed to Covid-19 in 2020 and all deaths for the years 2015-2020 were tabulated for 35 countries together with economic, health, demographic, and government response stringency index variables. Residual mortality rates (RMR) in 2020 were calculated as excess mortality minus reported mortality rates due to Covid-19 where excess deaths were observed deaths in 2020 minus the average for 2015-2019. Differences in RMR are differences not attributed to reported Covid-19. For about half the countries, RMR’s were negative and for half, positive. The absolute rates in some countries were double those in others. In a regression analysis, population density and...

Studies documenting coronavirus disease 2019 (COVID-19) racial/ethnic disparities in the United States were limited to data from the initial few months of the pandemic, did not account for changes over time, and focused primarily on Black and Hispanic minority groups. To fill these gaps, we examined time trends in racial/ethnic disparities in COVID-19 infection and mortality. We used the Veteran Health Administration’s (VHA) national database of veteran COVID-19 infections over three time periods: 3/1/2020-5/31/2020 (spring); 6/1/2020-8/31/2020 (summer); and 9/1/2020-11/25/2020 (fall). We calculated COVID-19 infection and mortality predicted probabilities from logistic regression models that included time period-by-race/ethnicity interaction terms, and controlled for age, gender, and prior diagnosis of CDC risk factors. Racial/ethnic groups at higher risk for COVID-19 infection...

1. IntroductionThe COVID-19 (coronavirus disease 2019) has been declared as a pandemic in March 2020 by the World Health Organization [1]. The disease is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which belongs to the Coronaviridae family. To date, more than 70 million people worldwide have been confirmed to be infected, with 1,599,704 deaths [2–4]. Currently, Brazil is the country with the second highest number of fatalities and third highest total cases, 180,437 and 6,836,227, respectively [2, 5]. More than 50,000 new cases keep on being reported per day in the country [5], and a high number of adults are considered at risk for severe COVID-19 in Brazil [6].Since the beginning of the pandemic, studies have shown that the number of patients requiring intensive care, as well as the number of deaths, is greater among individuals over 60 years of age....

The global political economy is generating new forms and growing shares of informal, insecure, and precarious labor, adding to histories of insecure work and an externalization of social costs. The COVID-19 pandemic has highlighted the consequences of ignoring such signals in terms of the increased risk and vulnerability of insecure labor. This paper explores how such trends are generating intersecting adverse health outcomes for workers, communities, and environments and the implications for breaking siloes and building links between the paradigms, science, practice, and tools for occupational health, public health, and eco-health. Applying the principle of controlling hazards at the source is argued in this context to call for an understanding of the upstream production and socio-political factors that are jointly affecting the nature of work and employment and their impact on...

Given the scarcity of safe and effective COVID-19 vaccines, a chief policy question is how to allocate them among different sociodemographic groups. This paper evaluates COVID-19 vaccine prioritization strategies proposed to date, focusing on their stated goals; the mechanisms through which the selected allocations affect the course and burden of the pandemic; and the main epidemiological, economic, logistical, and political issues that arise when setting the prioritization strategy. The paper uses a simple, age-stratified susceptible-exposed-infectious-recovered model to quantitatively assess the performance of alternative prioritization strategies with respect to avoided deaths, avoided infections, and life-years gained. We demonstrate that prioritizing essential workers is a viable strategy for reducing the number of cases and years of life lost, while the largest reduction in...

Abstract OBJECTIVE We implement a model-based approach to identify the optimal allocation of a COVID-19 vaccine in the province of Alberta, Canada. METHODS We develop an epidemiologic model to evaluate allocation strategies defined by age and risk target groups, coverage, effectiveness, and cost of vaccine. The model simulates hypothetical immunization scenarios within a dynamic context, capturing concurrent public health strategies and population behaviour changes. RESULTS In a scenario with 80% vaccine effectiveness, 40% population coverage, and prioritisation of those over the age of 60 at high-risk of poor outcomes, active cases are reduced by 17% and net monetary benefit increased by $263 million dollars, relative to no vaccine. Concurrent implementation of policies such as school closure and senior contact reductions have similar impacts on incremental net monetary benefit...