Spatial Demography最新文献_第2页

Linking Individuals to Areas: Protecting Confidentiality While Preserving Research Utility 将个人与领域联系起来:在保持研究效用的同时保护机密

IF 1.9

Spatial Demography Pub Date : 2023-11-28 DOI: 10.1007/s40980-023-00121-9

Paul Norman, Jessie Colbert, Daniel J. Exeter

{"title":"Linking Individuals to Areas: Protecting Confidentiality While Preserving Research Utility","authors":"Paul Norman, Jessie Colbert, Daniel J. Exeter","doi":"10.1007/s40980-023-00121-9","DOIUrl":"https://doi.org/10.1007/s40980-023-00121-9","url":null,"abstract":"Modern computational capabilities have brought about concerns about risks associated with the level of information disclosed in public datasets. A tension exists between making data available that protects the confidentiality of individuals while containing sufficiently detailed geographic information to underpin the utility of research. Our aim is to inform data collectors and suppliers about geographic choices for confidentiality protection and to balance this with reassurance to the research community that data will still be fit-for-purpose. We test this using simple logistic regression models, by investigating the interplay between two geographical entities (points for the observations and polygons for area attributes) at a variety of scales, using a synthetic population of 22,000 people. In an England and Wales setting, we do this for individuals located by postcodes and by postal sector and postal district centroids and link these to a variety of census geographies. We also ‘jitter’ postcode coordinates to test the effect of moving people away from their original location. We find a smoothing of relationships up the geographical hierarchy. However, if postal sector centroids are used to locate individuals, linkages to Lower/Medium Super Output Area scales and subsequent results are very similar to the more detailed unit postcodes. Postcode locations jittered by 500–750 m in any direction are likely to allow the same conclusions to be drawn as for the original locations. Within these geographic scenarios, there is likely to be a sufficient level of confidentiality protection while statistical relationships are very similar to those obtained using the most detailed geographic locators.","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"8 11","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138510174","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: 0

Examining Spatial Heterogeneity and Potential Risk Factors of Childlessness Across 412 Districts of India: An Analysis of 4 Decades 印度412个地区无子女的空间异质性和潜在风险因素:40年的分析

Spatial Demography Pub Date : 2023-10-06 DOI: 10.1007/s40980-023-00120-w

Adrita Banerjee

引用次数: 1

An Example of Combining Expert Judgment and Small Area Projection Methods: Forecasting for Water District Needs 专家判断与小面积投影相结合的一个实例：水域需求预测

IF 1.9

Spatial Demography Pub Date : 2023-08-01 DOI: 10.1007/s40980-023-00119-3

David A. Swanson, Tom Bryan, Mark Hattendorf, Kelly Comstock, L. Starosta, Robert Schmidt

引用次数: 0

Measuring Neighborhood Impacts on Labor Out-Migration from Fanjingshan National Nature Reserve, China 邻域对梵净山国家级自然保护区劳动力外迁影响的测度

IF 1.9

Spatial Demography Pub Date : 2023-06-28 DOI: 10.1007/s40980-023-00117-5

Yanjing Liu, Jie Dai, Shuang Yang, R. Bilsborrow, Minjuan Wang, Li An

引用次数: 0

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 1.1

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":"11 1","pages":"1-17"},"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