RESUMO
Climate change has been referred to as an involuntary exposure, meaning people do not voluntarily put themselves at risk for climate-related ill health or reduced standard of living. The purpose of this study is to examine people's risk perceptions and related beliefs regarding (1) the likelihood of different risks occurring at different times and places and (2) collective (government) responsibility and personal efficacy in dealing with climate change, as well as (3) explore the ways in which climate risk may be amplified when posed against individual health and well-being. Previous research on this topic has largely focused on one community or one nation state, and so a unique characteristic of this study is the comparison between six different city (country) sites by their development and national wealth. Here, we collected 401 surveys from Phoenix (USA), Brisbane (Australia), Wellington (New Zealand), Shanghai (China), Viti Levu (Fiji), and Mexico City (Mexico). Results suggest that the hyperopia effect characterized the sample from each study site but was more pronounced in developed sites, suggesting that the more developed sites employ a broader perspective when approaching ways to mitigate their risk against climate-related health and well-being impacts.
Assuntos
Mudança Climática , Medição de Risco , Austrália , China , Fiji , Humanos , México , Nova Zelândia , Estados UnidosRESUMO
Community sanitation interventions increasingly leverage presumed innate human disgust emotions and desire for social acceptance to change hygiene norms. While often effective at reducing open defecation and encouraging handwashing, there are growing indications from ethnographic studies that this strategy might create collateral damage, such as reinforcing stigmatized identities in ways that can drive social or economic marginalization. To test fundamental ethnographic propositions regarding the connections between hygiene norm violations and stigmatized social identities, we conducted 267 interviews in four distinct global sites (in Guatemala, Fiji, New Zealand, USA) between May 2015 and March 2016. Based on 148 initial codes applied to 23,278 interview segments, text-based analyses show that stigmatizing labels and other indices of contempt readily and immediately attach to imagined hygiene violators in these diverse social settings. Moral concerns are much more salient at all sites than disease/contagion ones, and hygiene violators are extended little empathy. Contrary to statistical predictions, however, non-empathetic moral reactions to women hygiene violators are no harsher than those of male violators. This improved evidentiary base illuminates why disgust- and shame-based sanitation interventions can so easily create unintended social damage: hygiene norm violations and stigmatizing social devaluations are consistently cognitively connected.
Assuntos
Participação da Comunidade/psicologia , Comparação Transcultural , Desinfecção das Mãos/normas , Saneamento/normas , Estereotipagem , Antropologia Cultural , Controle de Doenças Transmissíveis , Feminino , Fiji , Saúde Global , Guatemala , Humanos , Masculino , Nova Zelândia , População Rural , Normas SociaisRESUMO
We use a data-driven global stochastic epidemic model to analyze the spread of the Zika virus (ZIKV) in the Americas. The model has high spatial and temporal resolution and integrates real-world demographic, human mobility, socioeconomic, temperature, and vector density data. We estimate that the first introduction of ZIKV to Brazil likely occurred between August 2013 and April 2014 (90% credible interval). We provide simulated epidemic profiles of incident ZIKV infections for several countries in the Americas through February 2017. The ZIKV epidemic is characterized by slow growth and high spatial and seasonal heterogeneity, attributable to the dynamics of the mosquito vector and to the characteristics and mobility of the human populations. We project the expected timing and number of pregnancies infected with ZIKV during the first trimester and provide estimates of microcephaly cases assuming different levels of risk as reported in empirical retrospective studies. Our approach represents a modeling effort aimed at understanding the potential magnitude and timing of the ZIKV epidemic and it can be potentially used as a template for the analysis of future mosquito-borne epidemics.