Death from COVID-19 in contexts of social deprivation in Mexico.

Introduction: Poverty is one of the macro factors that has been little studied in terms of its effect on death from COVID-19 since most studies have focused only on investigating whether the pandemic increased poverty or not. With that on mind, the present study aims to analyze how the social deprivations that comprise the measurement of municipal poverty in interaction with health comorbidities and sociodemographic characteristics, increased the probability of death from COVID-19.

Methods: The study is cross-sectional and covers daily reports on the conditions of COVID-19 in the Mexican population for almost 2 years.

Labor markets during COVID-19: gaps and challenges in Latin America.

Introduction: The effects of the COVID-19 pandemic on Latin American labor markets continue to be quantified, to identify the social and economic impacts that this pandemic had, and to design more efficient public policies that would protect the most vulnerable groups. For this reason, the research question was as follows: what were the changes in the labor formality rates before and two years after the main contingency measures of the COVID-19 pandemic were implemented?

Methods: Using data from Argentina, Bolivia, Chile, Colombia, Ecuador, Guatemala, Mexico, Peru, and Uruguay, the formality rate (τ) was analyzed, which was calculated using a weighted average between the formal employment rates of the number (i) of economic sectors (p) in a specific period (t).

Results: The results suggest that the weighted labor formality rate increased in the countries of the region.

The multidimensionality of social wellbeing: interactions from the individual to the collective level in large cities.

This paper responds to two questions-What dimensions and indicators are relevant to the construction of social wellbeing? How are the levels of wellbeing distributed in the municipalities of Mexico City? To answer these questions, we use data from the Wellbeing Survey ( = 2,871) that is representative of Mexico City and its municipalities. We employed two methods, DM-R distances, and Mamdani's Fuzzy Inference Method. The results show that all the proposed dimensions and indicators contributed to the building of multidimensional social wellbeing; in the case of some indicators (social security, built environment, and public insecurity) they contributed less.

Food insecurity and levels of marginalization: food accessibility, consumption and concern in Mexico.

Background: Food insecurity continues to be a problem throughout the world. When estimating food insecurity, few studies analyze the contexts where the phenomenon takes place. By bearing in mind levels of marginalization in four states of Mexico, this paper answers two questions: (I) What problems are experienced with access to food, and how these difficulties affect the amount of food consumed in households? and (II) How do households experience the concern of running out of food?

Methods: Our qualitative study draws data from urban and semi-urban areas of four Mexican states: Mexico City, Tamaulipas, the State of Mexico, and Oaxaca.

Exploring the influence of cultural participation on the subjective well-being of victims in Mexico.

Introduction: Considering the increasing incidence of crime in Mexico, it is necessary to understand the strategies that individuals utilize in response to victimization and the effects of this on their subjective well-being.

Methods: A generalized structural equation modeling (GSEM) analysis with data from the 2012 Self-reported Well-Being Survey (BIARE,  = 10,654); dependent variables: subjective well-being (i.e.

Effect of comorbidities and risk conditions on death from COVID-19 in migrants in Mexico.

Background: Comorbidities increase the risk of death for patients with COVID-19, however, little is known about how it affects the prognosis of migrants who contract the virus. Therefore, this article aims to determine which comorbidities and risk conditions are associated with the probability of death among migrants infected with COVID-19 in Mexico.

Methods: We use a sample of migrants with a positive diagnosis for COVID-19 (N = 2126) registered in the public database published in the National Epidemiological Surveillance System of the Mexican Ministry of Health; the technique used was a Probit regression.

Vulnerability in health and social capital: a qualitative analysis by levels of marginalization in Mexico.

Background: Social capital is employed as an asset when there is a lack of an efficient health-care system. However, this relationship is not homogeneous and can differ according to the characteristics of individuals and their context. In this paper, we aim to analyze the role of social capital in the solution of healthcare problems among individuals with different levels of marginalization and unequal access to health services.