The need for protecting and enhancing TB health policies and services for forcibly displaced and migrant populations during the ongoing COVID-19 pandemic.

Disruption of health services due to the COVID-19 pandemic threatens to derail progress being made in tuberculosis control efforts. Forcibly displaced people and migrant populations face particular vulnerabilities as a result of the COVID-19 pandemic, which leaves them at further risk of developing TB. They inhabit environments where measures such as "physical distancing" are impossible to realize and where facilities like camps and informal temporary settlements can easily become sites of rapid disease transmission. In this viewpoint we utilize three case studies-from Peru, South Africa, and Syria-to illustrate the lived experience of forced migration and mobile populations, and the impact of COVID-19 on TB among these populations. We discuss the dual pandemics of TB and COVID-19 in the context of migration through a syndemic lens, to systematically address the upstream social, economic, structural and political factors that - in often deleterious dynamics - foster increased vulnerabilities and risk. Addressing TB, COVID-19 and migration from a syndemic perspective, not only draws systematic attention to comorbidity and the relevance of social and structural context, but also helps to find solutions: the true reality of syndemic interactions can only be fully understood by considering a particular population and bio- social context, and ensuring that they receive the comprehensive care that they need. It also provides avenues for strengthening and expanding the existing infrastructure for TB care to tackle both COVID-19 and TB in migrants and refugees in an integrated and synergistic manner.

Municipality-Level Predictors of COVID-19 Mortality in Mexico: A Cautionary Tale.

OBJECTIVE: Local characteristics of populations have been associated with coronavirus disease 2019 (COVID-19) outcomes. We analyze the municipality-level factors associated with a high COVID-19 mortality rate (MR) of in Mexico. METHODS: We retrieved information from cumulative confirmed symptomatic cases and deaths from COVID-19 as of June 20, 2020, and data from most recent census and surveys of Mexico. A negative binomial regression model was adjusted, the dependent variable was the number of COVID-19 deaths, and the independent variables were the quintiles of the distribution of sociodemographic and health characteristics among the 2457 municipalities of Mexico. RESULTS: Factors associated with high MRs from COVID-19, relative to quintile 1, were diabetes and obesity prevalence, diabetes mortality rate, indigenous population, economically active population, density of economic units that operate essential activities, and population density. Among factors inversely associated with lower MRs from COVID-19 were high hypertension prevalence and houses without sewage drainage. We identified 1351 municipalities without confirmed COVID-19 deaths, of which, 202 had high and 82 very high expected COVID-19 mortality (mean = 8 and 13.8 deaths per 100,000, respectively). CONCLUSION: This study identified municipalities of Mexico that could lead to a high mortality scenario later in the epidemic and warns against premature easing of mobility restrictions and to reinforce strategies of prevention and control of outbreaks in communities vulnerable to COVID-19.