The COVID-19 pandemic has sparked unprecedented public health and social measures (PHSM) by national and local governments, including border restrictions, school closures, mandatory facemask use and stay at home orders. Quantifying the effectiveness of these interventions in reducing disease transmission is key to rational policy making in response to the current and future pandemics. In order to estimate the effectiveness of these interventions, detailed descriptions of their timelines, scale and scope are needed. The Health Intervention Tracking for COVID-19 (HIT-COVID) is a curated and standardized global database that catalogues the implementation and relaxation of COVID-19 related PHSM. With a team of over 200 volunteer contributors, we assembled policy timelines for a range of key PHSM aimed at reducing COVID-19 risk for the national and first administrative levels (e.g. provinces and states) globally, including details such as the degree of implementation and targeted populations. We continue to maintain and adapt this database to the changing COVID-19 landscape so it can serve as a resource for researchers and policymakers alike.

Background Population health and well-being in Latin America, the current epicenter of the COVID-19 pandemic, has been severely affected during the past semester. Despite the growing evidence about the link between the pandemic, its control measures, and mental health worldwide, there is still no regional evidence of the potential mental health impact. We describe the prevalence and distribution of depressive symptoms across demographic and socioeconomic risk factors in the Peruvian population amidst a national lockdown during the COVID-19 pandemic. Methods Cross-sectional study conducted during the community transmission phase and national lockdown in Peru (May 4th–16th, 2020). We recorded 64,493 responses from adult Peruvian residents through an opt-in online questionnaire. All analyses were weighted using raking based on proportions of sociodemographic variables from the last Peruvian census in 2017. The prevalence of depressive symptoms was calculated using the Patient Health Questionnaire (PHQ-9) score of 10 or more. We identified associated demographic and socioeconomic factors by prior mental health diagnosis. Sensitivity analysis considered an alternative cut-off point for depressive symptoms of PHQ-9 ≥ 14. Results A total of 57,446 participants were included in the analytical sample. A third of the participants (n = 23,526, unweighted) showed depressive symptoms in the 2 weeks prior to the study. Participants who reported a previous mental health diagnosis doubled the sample prevalence of depressive symptoms (59, 95%CI 56.7, 61.4%) of those without a prior diagnosis. Psychosocial and functioning reactions were largely more prevalent among females and young adults. A dose-response relationship was found between household income and depressive symptoms across previous mental health diagnosis strata, being as low as 32% less in the wealthiest than the most impoverished group (PR: 0.68, 95%CI 0.58,0.79). Other critical factors associated with a higher burden of depressive symptoms were lower education level, single, unemployed, and chronic comorbidity. Conclusions An increased burden of depressive symptoms and psychosocial reactions has emerged during the COVID-19 pandemic in Peru compared to previous years. The mental health burden disproportionately affects women, the younger population, and those with low income and education. As the country eases the social distancing measures, it is crucial to use local evidence to adjust public health policies and mental health services to the renewed population needs.

The COVID-19 pandemic has spread rapidly since the first case notification of the WHO in December 2019. Lacking an effective treatment, countries have implemented non-pharmaceutical interventions including social distancing measures and have encouraged maintaining adequate and frequent hand hygiene to slow down the disease transmission. Although access to clean water and soap is universal in high-income settings, it remains a basic need many do not have in low-and middle-income settings. We analyzed data from Demographic and Health Surveys (DHS) of 16 countries in sub-Saharan Africa, using the most recent survey since 2015. Differences in the percentage of households with an observed handwashing place with water and soap were estimated by place of residence and wealth quintiles. Equiplots showed wide withincountry disparities, disproportionately affecting the poorest households and rural residents, who represent the majority of the population in most of the countries. Social inequalities in access to water and soap matter for the COVID-19 response in sub-Saharan Africa. Interventions such as mass distribution of soap and ensuring access to clean water, along with other preventive strategies should be scaled up to reach the most vulnerable populations.

In Latin American countries, obesity prevalence has increased significantly as a result of rapid urbanization and an improvement in socioeconomic conditions. We report the prevalence of overweight and/or obesity and prevention efforts in five countries: Mexico, Colombia, Brazil, Peru, and Chile. In children, the highest and lowest rates of obesity are found in Chile (23 % in 6-year-olds) and Peru (1.8 % in those <5 years), respectively. In adults, Mexico and Chile present similar high rates of obesity (around 35 %), whereas in Brazil and Colombia, the rates are around 20 % and 16.5 %, respectively. In general, the highest prevalence occurs in low-income women. Every country has developed initiatives to target obesity, from the government to the private sector and academia, mainly at the health sector and school settings. Food labeling is being addressed, but has not been implemented yet. Two interventions are described, a community-based in Mexico and a school-based in Chile. Because the increase in chronic diseases, especially diabetes, has paralleled that of obesity, effective prevention efforts are urgently needed.

ObjectiveTo evaluate the association between length of residence in an urban area and obesity among Peruvian rural-to-urban migrants.DesignCross-sectional database analysis of the migrant group from the PERU MIGRANT Study (2007). Exposure was length of urban residence, analysed as both a continuous (10-year units) and a categorical variable. Four skinfold site measurements (biceps, triceps, subscapular and suprailiac) were used to calculate body fat percentage and obesity (body fat percentage >25% males, >33% females). We used Poisson generalized linear models to estimate adjusted prevalence ratios and 95 % confidence intervals. Multicollinearity between age and length of urban residence was assessed using conditional numbers and correlation tests.SettingA peri-urban shantytown in the south of Lima, Peru.SubjectsRural-to-urban migrants (n 526) living in Lima.ResultsMultivariable analyses showed that for each 10-year unit increase in residence in an urban area, rural-to-urban migrants had, on average, a 12 % (95 % CI 6, 18 %) higher prevalence of obesity. This association was also present when length of urban residence was analysed in categories. Sensitivity analyses, conducted with non-migrant groups, showed no evidence of an association between 10-year age units and obesity in rural (P=0·159) or urban populations (P=0·078). High correlation and a large conditional number between age and length of urban residence were found, suggesting a strong collinearity between both variables.ConclusionsLonger lengths of urban residence are related to increased obesity in rural-to-urban migrant populations; therefore, interventions to prevent obesity in urban areas may benefit from targeting migrant groups.