Spatial Demography最新文献_第2页

The Role of Data Sample Uncertainty in Delineations of Core Based Statistical Areas and Rural Urban Commuting Areas 数据样本不确定性在核心统计区域和城乡通勤区域划分中的作用

IF 1.9

Spatial Demography Pub Date : 2023-06-15 DOI: 10.1007/s40980-023-00118-4

Christopher S. Fowler, J. Cromartie

引用次数: 0

Egalitarian Attitudes and Activity Spaces in Chitwan, Nepal. 尼泊尔奇特旺的平等主义态度和活动空间。

IF 1.9

Spatial Demography Pub Date : 2023-04-01 Epub Date: 2023-02-21 DOI: 10.1007/s40980-023-00115-7

Anna E Shetler, Scott T Yabiku

引用次数: 0

Determinants of Fertility During the Fertility Transition in Estonia: A Spatial Analysis 爱沙尼亚生育率过渡期间生育率的决定因素:空间分析

IF 1.9

Spatial Demography Pub Date : 2023-03-02 DOI: 10.1007/s40980-023-00116-6

M. Gortfelder, H. Jaadla

引用次数: 0

Geographic Variation and Factors Associated with Breast Cancer Screening in India Using a Spatial Durbin Approach 利用空间Durbin方法研究印度癌症筛查的地理变异和相关因素

IF 1.9

Spatial Demography Pub Date : 2023-02-21 DOI: 10.1007/s40980-023-00114-8

N. Nilima, Amitha Puranik, Siddharth Kaushik, S. Rai

引用次数: 1

Small Area Estimation of Age-Specific and Total Fertility Rates in Bangladesh 孟加拉国特定年龄和总生育率的小区域估计

IF 1.9

Spatial Demography Pub Date : 2023-01-10 DOI: 10.1007/s40980-022-00113-1

U. Saha, Sumonkanti Das, Bernard Baffour, Hukum Chandra

引用次数: 1

Ethnic/Racial Disparity in Mortality from COVID-19: Data for the Year 2020 in Brazil. 2019冠状病毒病死亡率的族裔/种族差异:巴西2020年数据

IF 1.9

Spatial Demography Pub Date : 2023-01-01 DOI: 10.1007/s40980-022-00112-2

Marina Dos Santos, Júlia Oliveira Penteado, Rodrigo de Lima Brum, Alicia da Silva Bonifácio, Paula Florêncio Ramires, Diuster de Franceschi Gariboti, Ruana Michela Santos Cardoso, Flavio Manoel Rodrigues da Silva Júnior

{"title":"Ethnic/Racial Disparity in Mortality from COVID-19: Data for the Year 2020 in Brazil.","authors":"Marina Dos Santos, Júlia Oliveira Penteado, Rodrigo de Lima Brum, Alicia da Silva Bonifácio, Paula Florêncio Ramires, Diuster de Franceschi Gariboti, Ruana Michela Santos Cardoso, Flavio Manoel Rodrigues da Silva Júnior","doi":"10.1007/s40980-022-00112-2","DOIUrl":"https://doi.org/10.1007/s40980-022-00112-2","url":null,"abstract":"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.","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841953/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9507354","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: 2

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 1.9

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":null,"pages":null},"PeriodicalIF":1.9,"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 1.9

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":null,"pages":null},"PeriodicalIF":1.9,"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