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    Socioeconomic inequalities in Chile during the COVID-19 pandemic: A regional analysis of income poverty
    (Public Library of Science (PLoS), 2025-05-07)
    DELGADO BECERRA, OROZIMBA IRIS  
    ;
    Sushma Dahal
    ;
    MATUTE WILLEMSEM, MARIA ISABEL  
    ;
    RUBILAR RAMIREZ, PAOLA ANDREA  
    ;
    Svenn-Erik Mamelund
    The COVID-19 pandemic caused an unprecedented economic crisis, intensifying poverty levels in Latin America, particularly in Chile. This study examines the short- and long-term socioeconomic impacts of COVID-19 on income poverty in Chile, focusing on regional disparities, rurality, ethnicity, educational attainment, and immigration. Using data from the Chile National Socioeconomic Characterization Survey (CASEN) for 2017, 2020, and 2022, we analyzed poverty trends across the pre-pandemic, pandemic, and post-pandemic periods. We employed spatial clustering techniques with Local Moran’s I to detect poverty hotspots and applied logistic regression models to identify key sociodemographic factors associated with these hotspots. Our results reveal stark regional disparities, with disproportionately higher poverty rates among rural populations, Indigenous communities, and individuals with lower education levels or immigrant backgrounds. The proportion of individuals in poverty hotspots rose from 6.8% in 2017 to 8.6% in 2020, before slightly declining to 7.7% in 2022. Although emergency monetary subsidies helped reduce overall poverty from 10.8% in 2020 to 6.5% in 2022, these measures were insufficient to address deep-rooted structural inequalities. Our findings underscore the urgent need for targeted, long-term policies that go beyond temporary financial assistance and tackle systemic disparities linked to rurality, ethnicity, education, and immigration. Such measures are essential for achieving sustainable poverty reduction and fostering inclusive economic growth in Chile.
    Scopus© Citations 1  1
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      2Scopus© Citations 345
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    Socioeconomic and Cardiovascular Variables Explaining Regional Variations in Stroke Mortality in Chile: An Ecological Study
    (2011)
    LAVADOS GERMAIN, PABLO MANUEL  
    ;
    DIAZ TAPIA, VIOLETA DEL CARMEN  
    ;
    Liliana Jadue
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    OLAVARRIA IANISZEWSKY, VERONICA VIVIANA  
    ;
    Daniel A. Cárcamo
    <jats:p>&lt;i&gt;Background:&lt;/i&gt; Regional differences in stroke mortality rates have been described in Chile. These could be related to the distribution of cardiovascular risk factors, the quality of medical care or socioeconomic status influencing incidence or case fatality rates. Our objective was to investigate variables explaining the variability in stroke mortality rates in the different regions of Chile. &lt;i&gt;Methods:&lt;/i&gt; Adjusted stroke mortality rates in different regions were calculated for the year 2003. Variables were added from three sources: the National Death Certificate Database, the National Socioeconomic Characterization Survey and the National Health Survey. A logistic regression model was used to investigate regions, demographic variables and socioeconomic variables associated with the risk of death from stroke. A linear regression model was used to study the association of socioeconomic variables and cardiovascular risk factors with the standardized mortality rate by region and the contribution of these to the variability. &lt;i&gt;Results:&lt;/i&gt; A twofold increase was found in adjusted stroke mortality rates among regions. Greater risk was associated with older age, female gender and residence in regions V, VII, VIII and IX. Sixty-two percent of the regional variability rate was explained by the combined prevalence of poverty (34%), diabetes (17%), sedentarism (8%) and overweight (3%). &lt;i&gt;Conclusion:&lt;/i&gt; The risk of death from stroke in Chile is associated with age, sex and living in four specific regions of the country. The majority of the increased risk in these regions is explained by the prevalence of poverty, diabetes, a sedentary lifestyle and overweight.</jats:p>
      6Scopus© Citations 20
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    Structural brain abnormalities in schizophrenia in adverse environments: examining the effect of poverty and violence in six Latin American cities
    (2020)
    Nicolas A. Crossley
    ;
    Andre Zugman
    ;
    Francisco Reyes-Madrigal
    ;
    Leticia S. Czepielewski
    ;
    Mariana N. Castro
    <jats:title>Summary</jats:title><jats:sec id="S0007125020001439_sec_a1"><jats:title>Background</jats:title><jats:p>Social and environmental factors such as poverty or violence modulate the risk and course of schizophrenia. However, how they affect the brain in patients with psychosis remains unclear.</jats:p></jats:sec><jats:sec id="S0007125020001439_sec_a2"><jats:title>Aims</jats:title><jats:p>We studied how environmental factors are related to brain structure in patients with schizophrenia and controls in Latin America, where these factors are large and unequally distributed.</jats:p></jats:sec><jats:sec id="S0007125020001439_sec_a3" sec-type="methods"><jats:title>Method</jats:title><jats:p>This is a multicentre study of magnetic resonance imaging in patients with schizophrenia and controls from six Latin American cities. Total and voxel-level grey matter volumes, and their relationship with neighbourhood characteristics such as average income and homicide rates, were analysed with a general linear model.</jats:p></jats:sec><jats:sec id="S0007125020001439_sec_a4" sec-type="results"><jats:title>Results</jats:title><jats:p>A total of 334 patients with schizophrenia and 262 controls were included. Income was differentially related to total grey matter volume in both groups (<jats:italic>P</jats:italic> = 0.006). Controls showed a positive correlation between total grey matter volume and income (<jats:italic>R</jats:italic> = 0.14, <jats:italic>P</jats:italic> = 0.02). Surprisingly, this relationship was not present in patients with schizophrenia (<jats:italic>R</jats:italic> = −0.076, <jats:italic>P</jats:italic> = 0.17). Voxel-level analysis confirmed that this interaction was widespread across the cortex. After adjusting for global brain changes, income was positively related to prefrontal cortex volumes only in controls. Conversely, the hippocampus in patients with schizophrenia, but not in controls, was relatively larger in affluent environments. There was no significant correlation between environmental violence and brain structure.</jats:p></jats:sec><jats:sec id="S0007125020001439_sec_a5" sec-type="conclusions"><jats:title>Conclusions</jats:title><jats:p>Our results highlight the interplay between environment, particularly poverty, and individual characteristics in psychosis. This is particularly important for harsh environments such as low- and middle-income countries, where potentially less brain vulnerability (less grey matter loss) is sufficient to become unwell in adverse (poor) environments.</jats:p></jats:sec>
    Scopus© Citations 10  1
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    A Multidimensional Approach to Measuring Quality of Employment (QoE) Deprivation in Six Central American Countries
    (2021)
    Pablo González
    ;
    Kirsten Sehnbruch
    ;
    APABLAZA SALINAS, MAURICIO IVÁN  
    ;
    Rocío Méndez Pineda
    ;
    Veronica Arriagada
    <jats:title>Abstract</jats:title><jats:p>This paper proposes a methodology for measuring Quality of Employment (QoE) deprivation from a multidimensional perspective in six Central American countries (Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, and Panama) using a dataset specifically designed to measure employment conditions. Building on previous work on multidimensional poverty and employment indicators, the paper uses the Alkire/Foster (AF) method to construct a synthetic indicator of the QoE <jats:italic>at an individual level.</jats:italic> It selects four dimensions that must be considered as essential to QoE deprivation: income, job stability, job security and employment conditions. These dimensions then subdivide into several indicators, a threshold for each indicator and dimension is established before defining an overall cut-off line that allows for the calculation of composite levels of deprivation. The results generated by this indicator show that Central American countries can be divided into three distinct and robust performance groups in terms of their QoE deprivation. Overall, approximately 60% of the deprivation levels are attributable to non-income variables, such as occupational status and job tenure. The methodology used can allow policymakers to identify and focus on the most vulnerable workers in a labour market and highlights the fact that having a formal written contract is no guarantee of good job quality, particularly in the case of women.</jats:p>
    Scopus© Citations 27  4
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    Migration and health in Latin America during the COVID-19 pandemic and beyond
    (2021)
    Ietza Bojorquez
    ;
    CABIESES VALDES, BALTICA BEATRIZ  
    ;
    Carlos Arósquipa
    ;
    Juan Arroyo
    ;
    Andrés Cubillos Novella
    Scopus© Citations 39  1
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    Scopus© Citations 8  4
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    Rickettsial infections: A blind spot in our view of neglected tropical diseases
    (2021)
    Jeanne Salje
    ;
    WEITZEL, THOMAS  
    ;
    Paul N. Newton
    ;
    George M. Varghese
    ;
    Nicholas Day
    <jats:p>Rickettsial diseases are a group of vector-borne bacterial infections that cause acute febrile illness with potentially severe or fatal complications. These vector-borne diseases are prevalent in tropical and subtropical regions worldwide and disproportionately affect poorer communities but are scientifically underrecognized. Despite this, they are not included in the World Health Organization’s list of neglected tropical diseases nor were they mentioned in Peter Hotez’s recent reflections on “What constitutes a neglected tropical disease?” in <jats:italic>PLOS Neglected Tropical Diseases</jats:italic> [1]. Here we present the case that rickettsial infections, as an overlooked cause of morbidity, mortality, and economic losses in marginalized populations, should be recognized as neglected tropical diseases. We describe how this oversight is the result of a number of factors and how it negatively impacts patient outcomes. We then propose measures to address the neglect of rickettsial infections in both scientific research and public health interventions.</jats:p>
    Scopus© Citations 44  1
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    Scopus© Citations 72  14
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    Sensemaking the ‘social’ in social entrepreneurship
    (2018)
    Jonathan Kimmitt
    ;
    MUÑOZ ROMÁN, PABLO ANDRÉS  
    <jats:p> In the collective imagination, the practices and outcomes of social entrepreneurship seem to hold hope for a better future. So far, these practices have been largely assumed as idealised types with the ‘social’ in social entrepreneurship underexplored. Such assumed neutrality, we argue, is hampering the development of a more robust theoretical corpus for understanding the phenomenon and inspiring practices that are more effective. In this article, we analyse the sensemaking of the social in social entrepreneurship by exploring the ways in which social entrepreneurs make sense of social problems and develop solutions for addressing them. Our empirical analyses of the stories of 15 social entrepreneurs indicate two distinct types of sensemaking and sensegiving practices, aligned with Amartya Sen’s notions of social justice. Drawing on these findings, sensemaking and social justice theory, we elaborate a two-type social sensemaking model pertaining to the appreciation and assessment of circumstances and the differing problem/solution combinations emerging from alternative ontological views of what constitutes a social problem. </jats:p>
      3Scopus© Citations 118