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    Item type:Publication,
    Unravelling the potential relationship between the climate crisis and the health of migrant children in LAC: perceptions from migrant parents and healthcare professionals in Chile
    <jats:sec><jats:title>Introduction</jats:title><jats:p>Latin America and the Caribbean (LAC) is one of the regions most affected by the climate crisis, which is connected to international migration through a complex nexus. During the last years, migratory flows on the continent have increasingly included children and adolescents who are migrating through non-authorised crossing points. The existing literature shows how inequities negatively affect migrant children and the role that healthcare systems can play to mitigate them.</jats:p></jats:sec><jats:sec><jats:title>Objective</jats:title><jats:p>Based on a qualitative study, the paper aims to analyse the role of the climate crisis on the healthcare needs of migrant children from LAC who are currently living in Chile, from the point of view of parents from five main countries of immigration in Chile and healthcare professionals.</jats:p></jats:sec><jats:sec><jats:title>Method</jats:title><jats:p>An exploratory study was conducted in Arica, Antofagasta and Santiago. In-depth interviews with 20 migrant parents and 20 healthcare professionals were carried out. The interviews were transcribed verbatim and a thematic analysis was performed.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Three findings emerged from this study: (1) food insecurity affects LAC migrant children in their country of origin and during their migratory trajectories to Chile, (2) natural disasters and environmental degradation in the countries of origin are not the only drivers of migration for LAC families but also prevent returns, even when they remain undocumented and (3) LAC migrant children are exposed to urban pollution and contaminants in informal settlements due to difficulties in accessing formal housing, among others.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>The climate crisis must be integrated into the study of migrant health in LAC, considering the current context of multiple political, health and economic crises in the region. Healthcare professionals and communities play a central role in creating interventions to build sustainable and resilient universal healthcare systems.</jats:p></jats:sec>
    Scopus© Citations 1  1
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    Item type:Publication,
    Holistic rockfall risk assessment in high mountain areas affected by seismic activity: Application to the Uspallata valley, Central Andes, Chile
    (2023)
    Manon Farvacque
    ;
    Nicolas Eckert
    ;
    ;
    Franck Bourrier
    ;
    Christophe Corona
    <jats:title>Abstract</jats:title><jats:p>Over large regions exposed to natural disasters, cascading effects resulting from complex or concatenated natural processes may represent a large portion of total risk. Populated high‐mountain environments are a major concern, and methods for large‐scale quantitative risk analyses are urgently required to improve risk mitigation. This article presents a comprehensive quantitative rockfall risk assessment over a large archetypal valley of the Andean mountains, in Central Chile, which integrates a wide spectrum of elements at risk. Risk is expressed as an expected damage both in monetary terms and casualties, at different scales relevant for decision making. Notably, total rockfall risk is divided into its main drivers, which allows quantifying seismically induced rockfall risk. For this purpose, the local seismic hazard is quantified and the yield acceleration, that is, acceleration required to initiate rockfall, is determined at the regional scale. The probability of failure is thereafter derived in terms of annual frequency of rockfall initiation and integrated in the quantitative risk assessment (QRA) process. Our results show the significant role of seismic activity as the triggering mechanism of rockfalls, and highlight elements at risk that have a major contribution to the total risk. Eventually a sensitivity analysis is conducted to (i) assess the robustness of obtained risk estimates to the data and modeling choices and (ii) identify the most influential assumptions. Our approach evidences the feasibility of large‐scale QRAs in sensitive environments and opens perspectives for refining QRAs in similar territories significantly affected by cascading effects and multihazards.</jats:p>
    Scopus© Citations 3  1
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    Item type:Publication,
    Children’s reactions to the 2010 Chilean earthquake: The role of trauma exposure, family context, and school-based mental health programming.
    (2014)
    Dana Rose Garfin
    ;
    Roxane Cohen Silver
    ;
    Virginia Gil-Rivas
    ;
    GUZMÁN, JAVIER
    ;
    J. Michael Murphy
      1
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    Item type:Publication,
    Predicting posttraumatic stress disorder following a natural disaster
    (2018)
    Anthony J. Rosellini
    ;
    Francisca Dussaillant
    ;
    José R. Zubizarreta
    ;
    Ronald C. Kessler
    ;
    Sherri Rose
    Scopus© Citations 47  27
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    Item type:Publication,
    Predicting Posttraumatic Stress Symptom Prevalence and Local Distribution after an Earthquake with Scarce Data
    (2017)
    Francisca Dussaillant
    ;
    <jats:title>Abstract</jats:title><jats:sec id="S1049023X17000206_abs1" sec-type="general"><jats:title>Background</jats:title><jats:p>After a major earthquake, the assignment of scarce mental health emergency personnel to different geographic areas is crucial to the effective management of the crisis. The scarce information that is available in the aftermath of a disaster may be valuable in helping predict where are the populations that are in most need.</jats:p></jats:sec><jats:sec id="S1049023X17000206_abs2" sec-type="general"><jats:title>Objective</jats:title><jats:p>The objectives of this study were to derive algorithms to predict posttraumatic stress (PTS) symptom prevalence and local distribution after an earthquake and to test whether there are algorithms that require few input data and are still reasonably predictive.</jats:p></jats:sec><jats:sec id="S1049023X17000206_abs3" sec-type="methods"><jats:title>Methods</jats:title><jats:p>A rich database of PTS symptoms, informed after Chile’s 2010 earthquake and tsunami, was used. Several model specifications for the mean and centiles of the distribution of PTS symptoms, together with posttraumatic stress disorder (PTSD) prevalence, were estimated via linear and quantile regressions. The models varied in the set of covariates included.</jats:p></jats:sec><jats:sec id="S1049023X17000206_abs4" sec-type="results"><jats:title>Results</jats:title><jats:p>Adjusted R<jats:sup>2</jats:sup> for the most liberal specifications (in terms of numbers of covariates included) ranged from 0.62 to 0.74, depending on the outcome. When only including peak ground acceleration (PGA), poverty rate, and household damage in linear and quadratic form, predictive capacity was still good (adjusted R<jats:sup>2</jats:sup> from 0.59 to 0.67 were obtained).</jats:p></jats:sec><jats:sec id="S1049023X17000206_abs5" sec-type="conclusions"><jats:title>Conclusions</jats:title><jats:p>Information about local poverty, household damage, and PGA can be used as an aid to predict PTS symptom prevalence and local distribution after an earthquake. This can be of help to improve the assignment of mental health personnel to the affected localities.</jats:p><jats:p><jats:mixed-citation id="S1049023X17000206_ref1" publication-type="journal"><jats:name name-style="western"><jats:surname>Dussaillant</jats:surname><jats:given-names>F</jats:given-names></jats:name>, <jats:name name-style="western"><jats:surname>Apablaza</jats:surname><jats:given-names>M</jats:given-names></jats:name>. <jats:article-title>Predicting posttraumatic stress symptom prevalence and local distribution after an earthquake with scarce data</jats:article-title>. <jats:source>Prehosp Disaster Med</jats:source>. <jats:year>2017</jats:year>;<jats:volume>32</jats:volume>(<jats:issue>4</jats:issue>):<jats:fpage>357</jats:fpage>–<jats:lpage>367</jats:lpage>.</jats:mixed-citation></jats:p></jats:sec>
      9