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Item type:Publication, Socioeconomic inequalities in Chile during the COVID-19 pandemic: A regional analysis of income poverty(Public Library of Science (PLoS), 2025-05-07); ; ; Svenn-Erik MamelundThe 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 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Determinantes sociales del consumo combinado de alcohol y medicamentos sin prescripción médica en personas mayores: Un estudio poblacional en Chile(SciELO Agencia Nacional de Investigacion y Desarrollo (ANID), 2024-11)4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of urban facilities spatial inequality on sustainable travel mode(2024); ; Marcelo Lufin<jats:p>With the implementation of sustainable development objectives in developing countries, urban planning, land use regulation, and urban mobility policies are expected to help reduce inequalities in access to urban facilities. Urban transport policies are also expected to encourage travel by non-motorised modes and public transport. These are considered to be the sustainable modes of urban transport. In this paper, we investigate how inequality of urban facilities impacts trips made by sustainable modes in the city of Santiago de Chile. We use a Poisson regression model and its geographical extension, the geographically weighted Poisson regression model (GWPR). The results suggest that the inequality of urban facilities impacts trips made by sustainable modes. The variables with the highest relevance are the spatial distribution of mixed land use, the spatial distribution of urban services related to transport infrastructure, primary and secondary education, as well as the spatial distribution of demographic variables related to people’s life cycle.</jats:p>Scopus© Citations 1 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 3Scopus© Citations 20 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Health access to immigrants: identifying gaps for social protection in health(2020-01-01); OBJECTIVE: To compare the access to and effective use of health services available among international migrants and Chileans. METHODS: Secondary analysis of the National Socioeconomic Characterization Survey (CASEN - Caracterización Socioeconómica Nacional ), version 2017. Indicators of access to the health system (having health insurance) and effective use of health services (perceived need, appointment or coverage, barriers and need satisfaction) were described in immigrants and local population, self-reported. Gaps by immigrant status were estimated using logistic regressions, with complex samples. RESULTS: Immigrants were 7.5 times more likely to have no health insurance than local residents. Immigrants presented less perceived need than local residents, together with a greater lack of appointments (OR: 1.7 95%CI: 1.2-2.5), coverage (OR: 2.7 95%CI: 2.0-3.7) and unsatisfied need. The difference between immigrants and locals was not statistically significant in barriers to health care access (α = 0.005). CONCLUSIONS: Disadvantages persist regarding the access to and use of health services by immigrants as opposed to Chileans compared with information from previous years. It is necessary to reduce the gaps between immigrants and people born in Chile, especially in terms of health system access. This is the first barrier to effective use of services. The generation of concrete strategies and health policies that consider an approach of social participation of the immigrant community is suggested to bring the health system closer to this population.Scopus© Citations 38 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Acceso a salud de migrantes internacionales en pandemia en Chile: resultados de encuesta cuantitativa(2023); 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Inequalities in infant vaccination coverage during the COVID-19 pandemic: A population-based study in Peru(2023)13Scopus© Citations 6 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Dementia in Latin America: Paving the way toward a regional action plan(2020)2Scopus© Citations 115 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile(2021); Alessandro VespignaniWe study the spatio-temporal spread of SARS-CoV-2 in Santiago de Chile using anonymized mobile phone data from 1.4 million users, 22% of the whole population in the area, characterizing the effects of non-pharmaceutical interventions (NPIs) on the epidemic dynamics. We integrate these data into a mechanistic epidemic model calibrated on surveillance data. As of August 1, 2020, we estimate a detection rate of 102 cases per 1000 infections (90% CI: [95–112 per 1000]). We show that the introduction of a full lockdown on May 15, 2020, while causing a modest additional decrease in mobility and contacts with respect to previous NPIs, was decisive in bringing the epidemic under control, highlighting the importance of a timely governmental response to COVID-19 outbreaks. We find that the impact of NPIs on individuals’ mobility correlates with the Human Development Index of comunas in the city. Indeed, more developed and wealthier areas became more isolated after government interventions and experienced a significantly lower burden of the pandemic. The heterogeneity of COVID-19 impact raises important issues in the implementation of NPIs and highlights the challenges that communities affected by systemic health and social inequalities face adapting their behaviors during an epidemic.Scopus© Citations 124 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Health-related quality of life by household income in Chile: a concentration index decomposition analysis(2022)3Scopus© Citations 7