Spatial and Spatio-Temporal Epidemiology最新文献_第10页

Measuring small-area level deprivation in Belgium: The Belgian Index of Multiple Deprivation 衡量比利时小区域水平的剥夺:比利时多重剥夺指数

IF 3.4

Spatial and Spatio-Temporal Epidemiology Pub Date : 2023-06-01 DOI: 10.1016/j.sste.2023.100587

Martina Otavova , Bruno Masquelier , Christel Faes , Laura Van den Borre , Catherine Bouland , Eva De Clercq , Bram Vandeninden , Andreas De Bleser , Brecht Devleesschauwer

{"title":"Measuring small-area level deprivation in Belgium: The Belgian Index of Multiple Deprivation","authors":"Martina Otavova , Bruno Masquelier , Christel Faes , Laura Van den Borre , Catherine Bouland , Eva De Clercq , Bram Vandeninden , Andreas De Bleser , Brecht Devleesschauwer","doi":"10.1016/j.sste.2023.100587","DOIUrl":"10.1016/j.sste.2023.100587","url":null,"abstract":"<div><h3>Background</h3><p>In the past, deprivation has been mostly captured through simple and univariate measures such as low income or poor educational attainment in research on health and social inequalities in Belgium. This paper presents a shift towards a more complex, multidimensional measure of deprivation at the aggregate level and describes the development of the first Belgian Indices of Multiple Deprivation (BIMDs) for the years 2001 and 2011.</p></div><div><h3>Methods</h3><p>The BIMDs are constructed at the level of the smallest administrative unit in Belgium, the statistical sector. They are a combination of six domains of deprivation: income, employment, education, housing, crime and health. Each domain is built on a suite of relevant indicators representing individuals that suffer from a certain deprivation in an area. The indicators are combined to create the domain deprivation scores, and these scores are then weighted to create the overall BIMDs scores. The domain and BIMDs scores can be ranked and assigned to deciles from 1 (the most deprived) to 10 (the least deprived).</p></div><div><h3>Results</h3><p>We show geographical variations in the distribution of the most and least deprived statistical sectors in terms of individual domains and overall BIMDs, and we identify hotspots of deprivation. The majority of the most deprived statistical sectors are located in Wallonia, whereas most of the least deprived statistical sectors are in Flanders.</p></div><div><h3>Conclusion</h3><p>The BIMDs offer a new tool for researches and policy makers for analyzing patterns of deprivation and identifying areas that would benefit from special initiatives and programs.</p></div>","PeriodicalId":46645,"journal":{"name":"Spatial and Spatio-Temporal Epidemiology","volume":"45 ","pages":"Article 100587"},"PeriodicalIF":3.4,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9617656","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

Spatio-temporal patterns of malaria in Nepal from 2005 to 2018: A country progressing towards malaria elimination 2005 - 2018年尼泊尔疟疾时空格局:一个朝着消除疟疾迈进的国家

IF 3.4

Spatial and Spatio-Temporal Epidemiology Pub Date : 2023-06-01 DOI: 10.1016/j.sste.2023.100576

Shreejana Bhattarai , Jason K. Blackburn , Sarah L. McKune , Sadie J. Ryan

{"title":"Spatio-temporal patterns of malaria in Nepal from 2005 to 2018: A country progressing towards malaria elimination","authors":"Shreejana Bhattarai , Jason K. Blackburn , Sarah L. McKune , Sadie J. Ryan","doi":"10.1016/j.sste.2023.100576","DOIUrl":"10.1016/j.sste.2023.100576","url":null,"abstract":"<div><p>Nepal aims to eliminate malaria by 2026. This study analyzed district-level spatio-temporal patterns of malaria in Nepal from 2005 to 2018, following the introduction of Long-Lasting Insecticidal Nets (LLINs) for vector control intervention. The spatial variation in a temporal trend (SVTT) method in SaTScan was used to detect significantly high or low temporal trends of five malaria indicators: Indigenous, Imported, PV (<em>Plasmodium vivax)</em>, PF (<em>Plasmodium falciparum)</em>, and Total Malaria; results were mapped as clusters with associated trends. Spatial clusters of increasing malaria were found for all five indicators. Indigenous Malaria increased 113.71% in a cluster of three previously non-endemic mountainous districts. The most prominent cluster of Imported Malaria increased by 156.22%, and included the capital, Kathmandu. While some clusters had decreasing malaria, the rate of decrease in clusters was lower than outside the clusters. Overall, malaria burden is decreasing in Nepal as the country progresses closer to the elimination deadline. However, spatial clusters of increasing malaria, and clusters of lower rates of decreasing malaria, point to a need to focus vector control interventions on these clusters.</p></div>","PeriodicalId":46645,"journal":{"name":"Spatial and Spatio-Temporal Epidemiology","volume":"45 ","pages":"Article 100576"},"PeriodicalIF":3.4,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9617659","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

Environmental, social and behavioral risk factors in association with spatial clustering of childhood cancer incidence 环境、社会和行为风险因素与儿童癌症发病率空间聚类的关系

IF 3.4

Spatial and Spatio-Temporal Epidemiology Pub Date : 2023-06-01 DOI: 10.1016/j.sste.2023.100582

Anke Hüls , Sara Van Cor , Grace M. Christensen , Zhenjiang Li , Yuxi Liu , Liuhua Shi , John L. Pearce , Rana Bayakly , Timothy L. Lash , Kevin Ward , Jeffrey M. Switchenko

{"title":"Environmental, social and behavioral risk factors in association with spatial clustering of childhood cancer incidence","authors":"Anke Hüls , Sara Van Cor , Grace M. Christensen , Zhenjiang Li , Yuxi Liu , Liuhua Shi , John L. Pearce , Rana Bayakly , Timothy L. Lash , Kevin Ward , Jeffrey M. Switchenko","doi":"10.1016/j.sste.2023.100582","DOIUrl":"10.1016/j.sste.2023.100582","url":null,"abstract":"<div><p>Childhood cancer incidence is known to vary by age, sex, and race/ethnicity, but evidence is limited regarding external risk factors. We aim to identify harmful combinations of air pollutants and other environmental and social risk factors in association with the incidence of childhood cancer based on 2003–2017 data from the Georgia Cancer Registry. We calculated the standardized incidence ratios (SIR) of Central Nervous System (CNS) tumors, leukemia and lymphomas based on age, gender and ethnic composition in each of the 159 counties in Georgia, USA. County-level information on air pollution, socioeconomic status (SES), tobacco smoking, alcohol drinking and obesity were derived from US EPA and other public data sources. We applied two unsupervised learning tools (self-organizing map [SOM] and exposure-continuum mapping [ECM]) to identify pertinent types of multi-exposure combinations. Spatial Bayesian Poisson models (Leroux-CAR) were fit with indicators for each multi-exposure category as exposure and SIR of childhood cancers as outcomes. We identified consistent associations of environmental (pesticide exposure) and social/behavioral stressors (low socioeconomic status, alcohol) with spatial clustering of pediatric cancer class II (lymphomas and reticuloendothelial neoplasms), but not for other cancer classes. More research is needed to identify the causal risk factors for these associations.</p></div>","PeriodicalId":46645,"journal":{"name":"Spatial and Spatio-Temporal Epidemiology","volume":"45 ","pages":"Article 100582"},"PeriodicalIF":3.4,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a6/5e/nihms-1874745.PMC10258443.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9673074","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: 1

Are at-risk sociodemographic attributes stable across COVID-19 transmission waves? 高危社会人口特征在COVID-19传播波中是否稳定?

IF 3.4

Spatial and Spatio-Temporal Epidemiology Pub Date : 2023-06-01 DOI: 10.1016/j.sste.2023.100586

Amanda Norton , Scarlett Rakowska , Tracey Galloway , Kathleen Wilson , Laura Rosella , Matthew Adams

{"title":"Are at-risk sociodemographic attributes stable across COVID-19 transmission waves?","authors":"Amanda Norton , Scarlett Rakowska , Tracey Galloway , Kathleen Wilson , Laura Rosella , Matthew Adams","doi":"10.1016/j.sste.2023.100586","DOIUrl":"10.1016/j.sste.2023.100586","url":null,"abstract":"<div><p>COVID-19 health impacts and risks have been disproportionate across social, economic, and racial gradients (Chen et al., 2021; Thompson et al., 2021; Mamuji et al., 2021; COVID-19 and Ethnicity, 2020). By examining the first five waves of the pandemic in Ontario, we identify if Forward Sortation Area (FSAs)based measures of sociodemographic status and their relationship to COVID-19 cases are stable or vary by time. COVID-19 waves were defined using a time-series graph of COVID-19 case counts by epi-week. Percent Black visible minority, percent Southeast Asian visible minority and percent Chinese visible minority at the FSA level were then integrated into spatial error models with other established vulnerability characteristics. The models indicate that area-based sociodemographic patterns associated with COVID-19 infection change over time. If sociodemographic characteristics are identified as high risk (increased COVID-19 case rates) increased testing, public health messaging, and other preventative care may be implemented to protect populations from the inequitable burden of disease.</p></div>","PeriodicalId":46645,"journal":{"name":"Spatial and Spatio-Temporal Epidemiology","volume":"45 ","pages":"Article 100586"},"PeriodicalIF":3.4,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082470/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9611881","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

Spatial modeling and socioeconomic inequities of COVID-19 in the urban area of the city of Cali, Colombia 哥伦比亚卡利市城区COVID-19的空间模型和社会经济不平等现象

IF 3.4

Spatial and Spatio-Temporal Epidemiology Pub Date : 2023-02-01 DOI: 10.1016/j.sste.2022.100561

David Arango-Londoño , Delia Ortega-Lenis , Paula Moraga , Miyerlandi Torres , Francisco J. Rodríguez-Cortés

{"title":"Spatial modeling and socioeconomic inequities of COVID-19 in the urban area of the city of Cali, Colombia","authors":"David Arango-Londoño , Delia Ortega-Lenis , Paula Moraga , Miyerlandi Torres , Francisco J. Rodríguez-Cortés","doi":"10.1016/j.sste.2022.100561","DOIUrl":"10.1016/j.sste.2022.100561","url":null,"abstract":"<div><p>COVID-19 has spread worldwide with a high variability in cases and mortality between populations. This research aims to assess socioeconomic inequities of COVID-19 in the city of Cali, Colombia, during the first and second peaks of the pandemic in this city. An ecological study by neighborhoods was carried out, were COVID-19 cases were analyzed using a Bayesian hierarchical spatial model that includes potential risk factors such as the index of unsatisfied basic needs and socioeconomic variables as well as random effects to account for residual variation. Maps showing the geographic patterns of the estimated relative risks as well as exceedance probabilities were created. The results indicate that in the first wave, the neighborhoods with the greatest unsatisfied basic needs and low socioeconomic strata, were more likely to report positive cases for COVID-19. For the second wave, the disease begins to spread through different neighborhoods of the city and middle socioeconomic strata presents the highest risk followed by the lower strata. These findings indicate the importance of measuring social determinants in the study of the distribution of cases due to COVID-19 for its inclusion in the interventions and measures implemented to contain contagions and reduce impacts on the most vulnerable populations.</p></div>","PeriodicalId":46645,"journal":{"name":"Spatial and Spatio-Temporal Epidemiology","volume":"44 ","pages":"Article 100561"},"PeriodicalIF":3.4,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756648/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10673708","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: 4

Unintended reductions in assaults near sobriety checkpoints: A longitudinal spatial analysis 在清醒检查点附近意外减少袭击:纵向空间分析

IF 3.4

Spatial and Spatio-Temporal Epidemiology Pub Date : 2023-02-01 DOI: 10.1016/j.sste.2023.100567

Jack Seifarth , Jason Ferris , Corinne Peek-Asa , Douglas J. Wiebe , Charles C. Branas , Ariana Gobaud , Christina Mehranbod , Brady Bushover , Christopher N. Morrison

{"title":"Unintended reductions in assaults near sobriety checkpoints: A longitudinal spatial analysis","authors":"Jack Seifarth , Jason Ferris , Corinne Peek-Asa , Douglas J. Wiebe , Charles C. Branas , Ariana Gobaud , Christina Mehranbod , Brady Bushover , Christopher N. Morrison","doi":"10.1016/j.sste.2023.100567","DOIUrl":"10.1016/j.sste.2023.100567","url":null,"abstract":"<div><h3>Background</h3><p>Sobriety checkpoints are a form of proactive policing in which law enforcement officers concentrate at a point on the roadway to systematically perform sobriety tests for all passing drivers. We investigated whether sobriety checkpoints unintentionally reduce assaults in surrounding areas.</p></div><div><h3>Methods</h3><p>Exposures of interest were sobriety checkpoints conducted by the Los Angeles Police Department between 2012 and 2017. Comparison units were matched 1:2 to sobriety checkpoints, selected as the same point location temporally lagged by exactly ±168 hours. The outcome was the density of police-reported assaults around the checkpoint location.</p></div><div><h3>Results</h3><p>In mixed effects regression analyses, assault incidence was lower when sobriety checkpoints were in operation compared to the same location ±168 hours [b= -0.0108, 95% CI: (-0.0203, -0.0012)].</p></div><div><h3>Conclusions</h3><p>Sobriety checkpoints were associated with decreased assault incidence, but estimated effect sizes were small and effects did not endure long after checkpoints ended.</p></div>","PeriodicalId":46645,"journal":{"name":"Spatial and Spatio-Temporal Epidemiology","volume":"44 ","pages":"Article 100567"},"PeriodicalIF":3.4,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896375/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10680722","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

Road environment characteristics and fatal crash injury during the rush and non-rush hour periods in the U.S: Model testing and cluster analysis 美国高峰与非高峰时段道路环境特征与致命碰撞伤害:模型测试与聚类分析

IF 3.4

Spatial and Spatio-Temporal Epidemiology Pub Date : 2023-02-01 DOI: 10.1016/j.sste.2022.100562

Oluwaseun Adeyemi , Rajib Paul , Eric Delmelle , Charles DiMaggio , Ahmed Arif

{"title":"Road environment characteristics and fatal crash injury during the rush and non-rush hour periods in the U.S: Model testing and cluster analysis","authors":"Oluwaseun Adeyemi , Rajib Paul , Eric Delmelle , Charles DiMaggio , Ahmed Arif","doi":"10.1016/j.sste.2022.100562","DOIUrl":"10.1016/j.sste.2022.100562","url":null,"abstract":"<div><p>This study aims to assess the relationship between county-level fatal crash injuries and road environmental characteristics at all times of the day and during the rush and non-rush hour periods. We merged eleven-year (2010 - 2020) data from the Fatality Analysis Reporting System. The outcome variable was the county-level fatal crash injury counts. The predictor variables were measures of road types, junction types and work zone, and weather types. We tested the predictiveness of two nested negative binomial models and adjudged that a nested spatial negative binomial regression model outperformed the non-spatial negative binomial model. The median county crash mortality rates at all times of the day and during the rush and non-rush hour periods were 18.4, 7.7, and 10.4 per 100,000 population, respectively. Fatal crash injury rate ratios were significantly elevated on interstates and highways at all times of the day – rush and non-rush hour periods inclusive. Intersections, driveways, and ramps on highways were associated with elevated fatal crash injury rate ratios. Clusters of high fatal crash injury rates were observed in counties located in Montana, Nevada, Colorado, Kansas, New Mexico, Oklahoma, Texas, Arkansas, Mississippi, Alabama, Georgia, and Nevada. The built and natural road environment factors are associated with county-level fatal crash injuries during the rush and non-rush hour periods. Understanding the association of road environment characteristics and the cluster distribution of fatal crash injuries may inform areas in need of focused intervention.</p></div>","PeriodicalId":46645,"journal":{"name":"Spatial and Spatio-Temporal Epidemiology","volume":"44 ","pages":"Article 100562"},"PeriodicalIF":3.4,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10673707","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: 2

National lockdowns in England: The same restrictions for all, but do the impacts on COVID-19 mortality risks vary geographically? 英国全国封锁:对所有人都有同样的限制，但对COVID-19死亡风险的影响是否因地而异?

IF 3.4

Spatial and Spatio-Temporal Epidemiology Pub Date : 2023-02-01 DOI: 10.1016/j.sste.2022.100559

Robin Muegge, Nema Dean, Eilidh Jack, Duncan Lee

{"title":"National lockdowns in England: The same restrictions for all, but do the impacts on COVID-19 mortality risks vary geographically?","authors":"Robin Muegge, Nema Dean, Eilidh Jack, Duncan Lee","doi":"10.1016/j.sste.2022.100559","DOIUrl":"10.1016/j.sste.2022.100559","url":null,"abstract":"<div><p>Quantifying the impact of lockdowns on COVID-19 mortality risks is an important priority in the public health fight against the virus, but almost all of the existing research has only conducted macro country-wide assessments or limited multi-country comparisons. In contrast, the extent of within-country variation in the impacts of a nation-wide lockdown is yet to be thoroughly investigated, which is the gap in the knowledge base that this paper fills. Our study focuses on England, which was subject to 3 national lockdowns between March 2020 and March 2021. We model weekly COVID-19 mortality counts for the 312 Local Authority Districts in mainland England, and our aim is to understand the impact that lockdowns had at both a national and a regional level. Specifically, we aim to quantify how long after the implementation of a lockdown do mortality risks reduce at a national level, the extent to which these impacts vary regionally within a country, and which parts of England exhibit similar impacts. As the spatially aggregated weekly COVID-19 mortality counts are small in size we estimate the spatio-temporal trends in mortality risks with a Poisson log-linear smoothing model that borrows strength in the estimation between neighbouring data points. Inference is based in a Bayesian paradigm, using Markov chain Monte Carlo simulation. Our main findings are that mortality risks typically begin to reduce between 3 and 4 weeks after lockdown, and that there appears to be an urban–rural divide in lockdown impacts.</p></div>","PeriodicalId":46645,"journal":{"name":"Spatial and Spatio-Temporal Epidemiology","volume":"44 ","pages":"Article 100559"},"PeriodicalIF":3.4,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9719849/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10673706","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

Fine-scale variation in the effect of national border on COVID-19 spread: A case study of the Saxon-Czech border region 国家边界对COVID-19传播影响的精细尺度变化——以撒克逊-捷克边境地区为例

IF 3.4

Spatial and Spatio-Temporal Epidemiology Pub Date : 2023-02-01 DOI: 10.1016/j.sste.2022.100560

Adam Mertel , Jiří Vyskočil , Lennart Schüler , Weronika Schlechte-Wełnicz , Justin M. Calabrese

{"title":"Fine-scale variation in the effect of national border on COVID-19 spread: A case study of the Saxon-Czech border region","authors":"Adam Mertel , Jiří Vyskočil , Lennart Schüler , Weronika Schlechte-Wełnicz , Justin M. Calabrese","doi":"10.1016/j.sste.2022.100560","DOIUrl":"10.1016/j.sste.2022.100560","url":null,"abstract":"<div><p>The global extent and temporally asynchronous pattern of COVID-19 spread have repeatedly highlighted the role of international borders in the fight against the pandemic. Additionally, the deluge of high resolution, spatially referenced epidemiological data generated by the pandemic provides new opportunities to study disease transmission at heretofore inaccessible scales. Existing studies of cross-border infection fluxes, for both COVID-19 and other diseases, have largely focused on characterizing overall border effects. Here, we couple fine-scale incidence data with localized regression models to quantify spatial variation in the inhibitory effect of an international border. We take as a case study the border region between the German state of Saxony and the neighboring regions in northwestern Czechia, where municipality-level COVID-19 incidence data are available on both sides of the border. Consistent with past studies, we find an overall inhibitory effect of the border, but with a clear asymmetry, where the inhibitory effect is stronger from Saxony to Czechia than vice versa. Furthermore, we identify marked spatial variation along the border in the degree to which disease spread was inhibited. In particular, the area around Löbau in Saxony appears to have been a hotspot for cross-border disease transmission. The ability to identify infection flux hotspots along international borders may help to tailor monitoring programs and response measures to more effectively limit disease spread.</p></div>","PeriodicalId":46645,"journal":{"name":"Spatial and Spatio-Temporal Epidemiology","volume":"44 ","pages":"Article 100560"},"PeriodicalIF":3.4,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741554/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10680723","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: 5

Space-time cluster detection techniques for infectious diseases: A systematic review 传染病时空聚类检测技术综述

IF 3.4

Spatial and Spatio-Temporal Epidemiology Pub Date : 2023-02-01 DOI: 10.1016/j.sste.2022.100563

Yu Lan , Eric Delmelle

{"title":"Space-time cluster detection techniques for infectious diseases: A systematic review","authors":"Yu Lan , Eric Delmelle","doi":"10.1016/j.sste.2022.100563","DOIUrl":"10.1016/j.sste.2022.100563","url":null,"abstract":"<div><h3>Background</h3><p>Public health organizations have increasingly harnessed geospatial technologies for disease surveillance, health services allocation, and targeting place-based health promotion initiatives.</p></div><div><h3>Methods</h3><p>We conducted a systematic review around the theme of space-time clustering detection techniques for infectious diseases using PubMed, Web of Science, and Scopus. Two reviewers independently determined inclusion and exclusion.</p></div><div><h3>Results</h3><p>Of 2,887 articles identified, 354 studies met inclusion criteria, the majority of which were application papers. Studies of airborne diseases were dominant, followed by vector-borne diseases. Most research used aggregated data instead of point data, and a significant proportion of articles used a repetition of a spatial clustering method, instead of using a “true” space-time detection approach, potentially leading to the detection of false positives. Noticeably, most articles did not make their data available, limiting replicability.</p></div><div><h3>Conclusion</h3><p>This review underlines recent trends in the application of space-time clustering methods to the field of infectious disease, with a rapid increase during the COVID-19 pandemic.</p></div>","PeriodicalId":46645,"journal":{"name":"Spatial and Spatio-Temporal Epidemiology","volume":"44 ","pages":"Article 100563"},"PeriodicalIF":3.4,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10680724","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: 2