Spatial Demography最新文献

Connections between individuals' sociodemographic characteristics and their social attitudes have been widely studied, but there has been less research on how individuals' spatial patterns are related to attitudes. Studies that do incorporate space have focused on residential locations, neglecting spatial experience outside residential neighborhoods. To fill this gap, we test hypotheses relating multiple measures of activity space (AS) to social attitudes, using innovative spatial data from Nepal. First, we hypothesize that the gender and caste attitudes of a focal individual will be positively associated with the gender and caste attitudes of others in the focal individual's AS, including spaces beyond the residential neighborhood. Second, we hypothesize that privileged individuals (i.e., males and those of the Chhetri/Brahmin caste) with greater potential exposure to females and those of lower castes in their AS will have more egalitarian attitudes about gender and caste than those with less exposure in their AS. Linear regression models provide support for both hypotheses.

The study aimed to investigate ethnic/racial disparities in COVID-19 mortality in Brazilian federative units and their respective capitals in 2020. Population data and number of COVID-19 deaths were extracted by skin color (white, black, brown and indigenous) from all Brazilian states and their respective capitals. The mortality rate of COVID-19 by ethnicity in Brazilian states was higher between people from brown skin color, followed by indigenous and black. Only in one state, in the Federal District and in the federal capital, age-standardized mortality rates were higher among white's people. There is a high percentage of deaths from COVID-19 higher than expected among non-white individuals, especially in south-central states and capitals of the country. Mortality from COVID-19 affect ethnic-racial groups unevenly in Brazil and the number of excess deaths among non-whites was over 9000. Urgent government measures are needed to reduce the racial disparity in health indicators in Brazil.

Acute malnutrition affects a sizeable number of young children around the world, with serious repercussions for mortality and morbidity. Among the top priorities in addressing this problem are to anticipate which children tend to be susceptible and where and when crises of high prevalence rates would be likely to arise. In this article, we highlight the potential role of conflict and climate conditions as risk factors for acute malnutrition, while also assessing other vulnerabilities at the individual- and household-levels. Existing research reflects these features selectively, whereas we incorporate all the features into the same study. The empirical analysis relies on integration of health, conflict, and environmental data at multiple scales of observation to focuses on how local conflict and climate factors relate to an individual child's health. The centerpiece of the analysis is data from the Demographic and Health Surveys conducted in several different cross-sectional waves covering 2003-2016 in Kenya, Nigeria, and Uganda. The results obtained from multi-level statistical models indicate that in Kenya and Nigeria, conflict is associated with lower weight-for-height scores among children, even after accounting for individual-level and climate factors. In Nigeria and Kenya, conflict lagged 1-3 months and occurring within the growing season tends to reduce WHZ scores. In Uganda, however, weight-for-height scores are primarily associated with individual-level and household-level conditions and demonstrate little association with conflict or climate factors. The findings are valuable to guide humanitarian policymakers and practitioners in effective and efficient targeting of attention, interventions, and resources that lessen burdens of acute malnutrition in countries prone to conflict and climate shocks.

Women's empowerment has been a subject of interest because of its relevance to development and demography, particularly in West Africa. Women's empowerment is typically conceptualized as an individual attribute of women, associated with socioeconomic and demographic characteristics. However, we hypothesize a geography of women's empowerment in the West African region, where empowerment processes are culturally situated and embedded in place. Such a geography would be observable via spatial associations over the region. This study uses Demographic and Health Survey data from 14 West African states over the past decade and an innovative multi-stage approach combining advanced statistical methods and spatial assessment to analyze indicators of women's empowerment and its spatial variability across the West African region. First we use a multivariate classification method to identify patterns in responses to empowerment questions and derive an empowerment classification scheme. Next we use these classifications to render a map of West Africa depicting the spatial variation of women's empowerment in the region. Ultimately, we fit multinomial structured geo-additive regression models to the data to analyze spatial variation in women's empowerment while controlling for certain socioeconomic-demographic characteristics. Our results demonstrate that women's responses to empowerment survey questions indeed vary geographically, even when controlling for individual socioeconomic-demographic attributes. This finding suggests that women's empowerment may relate to aspects of culture embedded in place in addition to the ways it relates to socioeconomic and demographic characteristics.