Spatial and temporal analysis of hospitalized dengue patients in Bandung : demographics and risk

• 資料種別: 記事
• タイトル: Spatial and temporal analysis of hospitalized dengue patients in Bandung : demographics and risk
• 著者・編者: Lia Faridah; I. Gede Nyoman Mindra; Ramadhani Eka Putra
• 出版事項: 日本 : Springer Nature
• 出版年月日等: 2021-05-26
• 出版年（W3CDTF）: 2021-05-26
• タイトル（掲載誌）: Tropical medicine and health
• 巻号年月日等（掲載誌）: 49(44)
• 掲載巻: 49(44)
• ISSN（掲載誌）: 1349-4147
• ISSN-L（掲載誌）: 1348-8945
• 本文の言語コード: eng
• DOI: 10.1186/s41182-021-00329-9; https://doi.org/10.1186/s41182-021-00329-9
• 国立国会図書館永続的識別子: info:ndljp/pid/11863570; https://dl.ndl.go.jp/pid/11863570
• コレクション（共通）: 障害者向け資料
• コレクション（障害者向け資料：レベル1）: テキストデータ
• コレクション（個別）: 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他; https://dl.ndl.go.jp/collections/B00035
• 収集根拠: オンライン資料収集制度
• 受理日（W3CDTF）: 2021-11-04T16:57:29+09:00
• 保存日（W3CDTF）: 2021-11-04
• 記録形式（IMT）: application/pdf
• オンライン閲覧公開範囲: 国立国会図書館内限定公開
• デジタル化資料送信: 図書館・個人送信対象外
• 遠隔複写可否（NDL）: 可
• 掲載誌（URI）: https://tropmedhealth.biomedcentral.com/articles
• 掲載誌（国立国会図書館永続的識別子）: info:ndljp/pid/11667857; https://dl.ndl.go.jp/pid/11667857
• 連携機関・データベース: 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

• 要約等: コレクション : 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
• DOI: 10.1186/s41182-021-00329-9; https://doi.org/10.1186/s41182-021-00329-9
• オンライン閲覧公開範囲: インターネット公開
• 関連情報（URI）: http://id.ndl.go.jp/digimeta/11863570; https://dl.ndl.go.jp/pid/11863570; https://link.springer.com/content/pdf/10.1186/s41182-021-00329-9.pdf; https://link.springer.com/article/10.1186/s41182-021-00329-9/fulltext.html
• 参照: Optimal Validated Multi-Factorial Climate Change Risk Assessment for Adaptation Planning and Evaluation of Infectious Disease: A Case Study of Dengue Hemorrhagic Fever in Indonesia; https://cir.nii.ac.jp/crid/1360298757207995264
• 参照: Modelling typhoid risk in Dhaka Metropolitan Area of Bangladesh: the role of socio-economic and environmental factors; https://cir.nii.ac.jp/crid/1050850247193646336; Statistical Detection and Surveillance of Geographic Clusters; https://cir.nii.ac.jp/crid/1360011143781588608; Density Estimation for Statistics and Data Analysis; https://cir.nii.ac.jp/crid/1360011145380710144; Design and implementation of a Space-Time Intelligence System for disease surveillance; https://cir.nii.ac.jp/crid/1360013170847394688; The time series seasonal patterns of dengue fever and associated weather variables in Bangkok (2003-2017); https://cir.nii.ac.jp/crid/1360013170930061696; Spatial and temporal patterns of dengue incidence in northeastern Thailand 2006–2016; https://cir.nii.ac.jp/crid/1360013171004964992; Space and space-time distributions of dengue in a hyper-endemic urban space: the case of Girardot, Colombia; https://cir.nii.ac.jp/crid/1360013171526938368; Determination of clusters and factors associated with dengue dispersion during the first epidemic related to Dengue virus serotype 4 in Vitória, Brazil; https://cir.nii.ac.jp/crid/1360013171532515328; 1998 Dengue Hemorrhagic Fever Epidemic in Taiwan; https://cir.nii.ac.jp/crid/1360013171561343232; Agricultural land use change into tourism area in Lembang Sub-district, West Bandung Regency, West Java Province, Indonesia; https://cir.nii.ac.jp/crid/1360013171778498048; Spatial and Temporal Patterns of Malaria in Phu Yen Province, Vietnam, from 2005 to 2016; https://cir.nii.ac.jp/crid/1360013172602575616; Using remote sensing and census tract data to improve representation of population spatial distribution: case studies in the Brazilian Amazon; https://cir.nii.ac.jp/crid/1360013172667865600; Value of routine dengue diagnosis in endemic countries; https://cir.nii.ac.jp/crid/1360013172830870016; Scoping review on vector-borne diseases in urban areas: transmission dynamics, vectorial capacity and co-infection; https://cir.nii.ac.jp/crid/1360013172915619840; Using cluster analysis to reconstruct dengue exposure patterns from cross-sectional serological studies in Singapore; https://cir.nii.ac.jp/crid/1360013173129867520; Epidemiological analysis of the Kaohsiung city strategy for dengue fever quarantine and epidemic prevention; https://cir.nii.ac.jp/crid/1360022304971836928; An application of density estimation to geographical epidemiology; https://cir.nii.ac.jp/crid/1360292620221145344; Relative risk estimation of dengue disease at small spatial scale; https://cir.nii.ac.jp/crid/1360294646083506176; Comparing adaptive and fixed bandwidth-based kernel density estimates in spatial cancer epidemiology; https://cir.nii.ac.jp/crid/1360294646165331200; A descriptive study on dengue fever reported in a Medical College Hospital; https://cir.nii.ac.jp/crid/1360294646506395008; Quantifying the spatial spread of dengue in a non-endemic Brazilian metropolis via transmission chain reconstruction; https://cir.nii.ac.jp/crid/1360294646701810176; The effects of local street network characteristics on the positional accuracy of automated geocoding for geographic health studies; https://cir.nii.ac.jp/crid/1360294646704470784; Lag effect of climatic variables on dengue burden in India; https://cir.nii.ac.jp/crid/1360294646765180160; A variable bandwidth selector in multivariate kernel density estimation; https://cir.nii.ac.jp/crid/1360294646877592064; The land-use of Bandung, its density, overcrowded area and public facility toward a compact city; https://cir.nii.ac.jp/crid/1360294647043357184; Hospital based clinical surveillance for dengue haemorrhagic fever in Bandung, Indonesia 1994–1995; https://cir.nii.ac.jp/crid/1360294647426311040; Spatial autocorrelation among automated geocoding errors and its effects on testing for disease clustering; https://cir.nii.ac.jp/crid/1360294647579472768; The Epidemiology, Virology and Clinical Findings of Dengue Virus Infections in a Cohort of Indonesian Adults in Western Java; https://cir.nii.ac.jp/crid/1360294647718676608; Diffusion Pattern and Hotspot Detection of Dengue in Belo Horizonte, Minas Gerais, Brazil; https://cir.nii.ac.jp/crid/1360294648046068096; Distribution and Spatial Pattern Analysis on Dengue Cases in Seremban District, Negeri Sembilan, Malaysia; https://cir.nii.ac.jp/crid/1360294648197963392; Dengue virus serotype distribution based on serological evidence in pediatric urban population in Indonesia; https://cir.nii.ac.jp/crid/1360574095059262336; H.E.L.P: A GIS-based Health Exploratory AnaLysis Tool for Practitioners; https://cir.nii.ac.jp/crid/1360576121465114240; Spatial and temporal variation of dengue incidence in the island of Bali, Indonesia: An ecological study; https://cir.nii.ac.jp/crid/1360576121774926848; Identifying Spatiotemporal Clusters by Means of Agglomerative Hierarchical Clustering and Bayesian Regression Analysis with Spatiotemporally Varying Coefficients: Methodology and Application to Dengue Disease in Bandung, Indonesia; https://cir.nii.ac.jp/crid/1360576121848410752; Climate variability and dengue hemorrhagic fever in Southeast Sulawesi Province, Indonesia; https://cir.nii.ac.jp/crid/1360576122011166720; Visualizing the impact of space-time uncertainties on dengue fever patterns; https://cir.nii.ac.jp/crid/1360576122145755392; Ten-years trend of dengue research in Indonesia and South-east Asian countries: a bibliometric analysis; https://cir.nii.ac.jp/crid/1360576122664748544; Conceptual and practical issues in the detection of local disease clusters: a study of mortality in Hamilton, Ontario; https://cir.nii.ac.jp/crid/1360576122731638400; Temporal and spatial patterns of diarrhoea in the Mekong Delta area, Vietnam; https://cir.nii.ac.jp/crid/1360576122888803712; Spatial Distribution of Dengue Hemorrhagic Fever (DHF) in Urban Setting of Bandung City; https://cir.nii.ac.jp/crid/1360576123096326784; Spatio-temporal dynamics of dengue in Brazil: Seasonal travelling waves and determinants of regional synchrony; https://cir.nii.ac.jp/crid/1360576123208813312; The current and future global distribution and population at risk of dengue; https://cir.nii.ac.jp/crid/1360855569435749120; The Uncertain Geographic Context Problem; https://cir.nii.ac.jp/crid/1360855570547177344; Detecting cancer clusters in a regional population with local cluster tests and Bayesian smoothing methods: a simulation study; https://cir.nii.ac.jp/crid/1360857596458116736; Developing a Vulnerability Mapping Methodology: Applying the Water-Associated Disease Index to Dengue in Malaysia; https://cir.nii.ac.jp/crid/1360857596714990336; Spatial and temporal patterns of dengue infections in Timor-Leste, 2005–2013; https://cir.nii.ac.jp/crid/1360857596776768000; The Critical Role of Early Dengue Surveillance and Limitations of Clinical Reporting – Implications for Non-Endemic Countries; https://cir.nii.ac.jp/crid/1360857597175698304; Testing for changes in spatial relative risk; https://cir.nii.ac.jp/crid/1360857597294789376; Community participation in the prevention and control of dengue: the<i>patio limpio</i>strategy in Mexico; https://cir.nii.ac.jp/crid/1360857597362533376; Paediatric dengue infection in Cirebon, Indonesia: a temporal and spatial analysis of notified dengue incidence to inform surveillance; https://cir.nii.ac.jp/crid/1360857597719179904; Male-female differences in the number of reported incident dengue fever cases in six Asian countries; https://cir.nii.ac.jp/crid/1360857597978511744; Spatial distribution and cluster analysis of dengue using self organizing maps in Andhra Pradesh, India, 2011–2013; https://cir.nii.ac.jp/crid/1360857597985118336; Effects of weather factors on dengue fever incidence and implications for interventions in Cambodia; https://cir.nii.ac.jp/crid/1361981469030716160; Impact of meteorological factors on the spatiotemporal patterns of dengue fever incidence; https://cir.nii.ac.jp/crid/1362262945309181952; From Re-Emergence to Hyperendemicity: The Natural History of the Dengue Epidemic in Brazil; https://cir.nii.ac.jp/crid/1363107370103496320; Dengue virus: A global human threat: Review of literature; https://cir.nii.ac.jp/crid/1363107370625094272; Evaluation of Health Information System (HIS) in The Surveillance of Dengue in Indonesia: Lessons from Case in Bandung, West Java; https://cir.nii.ac.jp/crid/1363383444023665792; Examining the impact of the precision of address geocoding on estimated density of crime locations; https://cir.nii.ac.jp/crid/1363388844139770112; Analyzing the spatio-temporal relationship between dengue vector larval density and land-use using factor analysis and spatial ring mapping; https://cir.nii.ac.jp/crid/1363951794234793728; Epidemic dengue transmission in southern Sumatra, Indonesia; https://cir.nii.ac.jp/crid/1363951794900044160; Epidemiological, clinical and climatic characteristics of dengue fever in Kaohsiung City, Taiwan with implication for prevention and control; https://cir.nii.ac.jp/crid/1364233268803303808; Dengue, Urbanization and Globalization: The Unholy Trinity of the 21st Century; https://cir.nii.ac.jp/crid/1390282680195957632; Exploring spatial and temporal patterns of visceral leishmaniasis in endemic areas of Bangladesh; https://cir.nii.ac.jp/crid/2051151842030078592
• 連携機関・データベース: 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• 提供元機関・データベース: 雑誌記事索引データベース; https://ndlsearch.ndl.go.jp; Crossref; https://www.crossref.org; 科学研究費助成事業データベース; https://kaken.nii.ac.jp/ja
• 書誌ID（NDLBibID）: 11863570; http://id.ndl.go.jp/bib/11863570