Spatial Demography最新文献_第3页

Quantile Regression of Childhood Growth Trajectories: Obesity Disparities and Evaluation of Public Policy Interventions at the Local Level 儿童成长轨迹的分位数回归:肥胖差异和地方层面公共政策干预的评估

IF 1.9

Spatial Demography Pub Date : 2022-09-14 DOI: 10.1007/s40980-022-00109-x

K. Konty, S. Sweeney, Sophia E Day

引用次数: 1

A Spatial Examination of Racial-Ethnic Population Patterns in Metro Atlanta Using Bayesian Conditional Autoregressive Models 使用贝叶斯条件自回归模型对亚特兰大大都市种族-民族人口模式的空间检验

IF 1.9

Spatial Demography Pub Date : 2022-08-19 DOI: 10.1007/s40980-022-00110-4

Treva Tam

引用次数: 0

Conflict and Climate Factors and the Risk of Child Acute Malnutrition Among Children Aged 24-59 Months: A Comparative Analysis of Kenya, Nigeria, and Uganda. 冲突和气候因素与 24-59 个月大儿童急性营养不良的风险：肯尼亚、尼日利亚和乌干达的比较分析。

IF 1.1

Spatial Demography Pub Date : 2022-08-01 Epub Date: 2022-02-01 DOI: 10.1007/s40980-021-00102-w

Kathryn Grace, Andrew Verdin, Molly Brown, Maryia Bakhtsiyarava, David Backer, Trey Billing

{"title":"Conflict and Climate Factors and the Risk of Child Acute Malnutrition Among Children Aged 24-59 Months: A Comparative Analysis of Kenya, Nigeria, and Uganda.","authors":"Kathryn Grace, Andrew Verdin, Molly Brown, Maryia Bakhtsiyarava, David Backer, Trey Billing","doi":"10.1007/s40980-021-00102-w","DOIUrl":"10.1007/s40980-021-00102-w","url":null,"abstract":"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.","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"10 2","pages":"329-358"},"PeriodicalIF":1.1,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10438900/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10046179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Geography of Women's Empowerment in West Africa. 西非妇女赋权的地理状况》。

IF 1.1

Spatial Demography Pub Date : 2022-08-01 Epub Date: 2023-01-21 DOI: 10.1007/s40980-021-00099-2

Jacqueline Banks, Stuart Sweeney, Wendy Meiring

{"title":"The Geography of Women's Empowerment in West Africa.","authors":"Jacqueline Banks, Stuart Sweeney, Wendy Meiring","doi":"10.1007/s40980-021-00099-2","DOIUrl":"10.1007/s40980-021-00099-2","url":null,"abstract":"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.","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"10 2","pages":"387-412"},"PeriodicalIF":1.1,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611597/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9103844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Introduction to the Special Issue on Population Dynamics in Africa 非洲人口动态特刊简介

IF 1.9

Spatial Demography Pub Date : 2022-08-01 DOI: 10.1007/s40980-022-00111-3

E. Gayawan

引用次数: 0

Modelling the Spatial Heterogeneity of Female-Male Ratio in West Bengal, India 印度西孟加拉邦男女比例的空间异质性建模

IF 1.9

Spatial Demography Pub Date : 2022-06-09 DOI: 10.1007/s40980-022-00107-z

Indrita Saha

引用次数: 0

Examining Spatial Heterogeneity and Potential Risk Factors of Childhood Undernutrition in High-Focus Empowered Action Group (EAG) States of India 研究印度高度关注授权行动小组（EAG）各州儿童营养不良的空间异质性和潜在风险因素

IF 1.9

Spatial Demography Pub Date : 2022-06-08 DOI: 10.1007/s40980-022-00108-y

Pravat Bhandari, E. Gayawan

引用次数: 2

Trends in the “Ecological Distance” of Ethnoracial Group Suburbanization in U.S. Metropolitan Areas, 1970–2019 1970-2019年美国大都市族群郊区化的“生态距离”趋势

IF 1.9

Spatial Demography Pub Date : 2022-05-30 DOI: 10.1007/s40980-022-00106-0

Jeffrey M. Timberlake, A. J. Howell

引用次数: 2

A Spatial Approach to the Study of the Electoral Resurgence of the Extreme Right in Southern Spain 西班牙南部极右翼选举复苏的空间研究方法

IF 1.9

Spatial Demography Pub Date : 2022-04-04 DOI: 10.1007/s40980-022-00105-1

Ricardo Iglesias-Pascual, Federico Benassi, Virginia Paloma

引用次数: 2

Identifying Geographical Heterogeneity in Associations between Under-Five Child Nutritional Status and Its Correlates Across Indian Districts 确定印度各区五岁以下儿童营养状况及其相关因素之间的地理异质性

IF 1.9

Spatial Demography Pub Date : 2022-03-08 DOI: 10.1007/s40980-022-00104-2

Monirujjaman Biswas

{"title":"Identifying Geographical Heterogeneity in Associations between Under-Five Child Nutritional Status and Its Correlates Across Indian Districts","authors":"Monirujjaman Biswas","doi":"10.1007/s40980-022-00104-2","DOIUrl":"https://doi.org/10.1007/s40980-022-00104-2","url":null,"abstract":"India has substantially reduced the burden of under-five child malnutrition over the last two decades. Despite this, it is still gigantic and differs remarkably across districts, while the demographic and socio-economic groups are most affected by it. This paper aimed to decrypt the place-specific spatial dependence and heterogeneity in associations between district-level nutritional status (stunting, wasting and underweight) and its considered correlates using a geocoded database for all 640 Indian districts from the latest fourth wave of the National Family Health Survey, 2015–16. Univariate Moran’s I and LISA statistics were used to confirm the spatial clustering and dependence in under-five nutritional status. The Ordinary Least Square (OLS), Geographically Weighted Regression (GWR), Spatial (lag/error) models were employed to examine the effects of correlates on the district-level nutritional status. The mean (Moran’s I) district-level stunting, wasting and underweight were 38% (0.634), 21% (0.488) and 36% (0.721), respectively. The GWR results disclosed that the spatial heterogeneity in relationships between district-level nutritional status and its driving forces were strongly location-based, altering their direction, magnitude and strength across districts. Overall, the localized model performed better, and best fit the data than the OLS and spatial (lag/error) models. This nationwide study confirmed that the spatial dependencies and heterogeneities in the district-level nutritional status indicators were strongly explained by a multitude of factors and thus can help policymakers in formulating effective nutrition-specific programmatic interventions to speed up the coverage of under-five malnutrition status in most priority districts and geographical hot spots across India.","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"6 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138528426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3