Spatial analysis of Influenza A H1N1 and evaluation of risk factors in Changsha City based on GIS

Jiang, Shize; Zhang, Jing; Jin, Jia; Zhang, David; Wang, Tun

doi:10.1109/geoinformatics.2011.5981050

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Most traditional epidemiological studies are based on the statistical analysis rather than on spatial information (Jiang, Zhang, Jin, Zhang, & Wang, 2011). The development of geographic information systems and spatial analyses has enabled the implementation of location information in contemporary demographic and epidemiological research.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Utilization of hot spot analysis in the detection of spatial determinants and clusters of the Spanish flu mortality

Obradović

Krivošejev²,

Yamashkin

2020

J geographical I JC

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The Spanish flu appeared at the end of the First World War and spread around the world in three waves: spring-summer in 1918, which was mild; autumn fatal wave, in the same year; and winter wave in 1919, which also had great consequences. From the United States of America, as the cradle of its origin, the Spanish flu spread to all the inhabited continents, and it did not bypass Serbia either. Research on the Spanish flu, as the deadliest and most widespread pandemic in the human history, was mostly based on statistical researches. The development of the geographic information systems and spatial analyses has enabled the implementation of the information of location in existing researches, allowing the identification of the spatial patterns of infectious diseases. The subject of this paper is the spatial patterns of the share of deaths from the Spanish flu in the total population in Valjevo Srez (in Western Serbia), at the settlement level, and their determination by the geographical characteristics of the studied area-the average altitude and the distance of the settlement from the center of the Srez. This paper adopted hot spot analysis, based on Gi* statistic, and the results indicated pronounced spatial disparities (spatial grouping of values), for all the studied parameters. The conclusions derived from the studying of historical spatial patterns of infectious diseases and mortality can be applied as a platform for defining measures in the case of an epidemic outbreak with similar characteristics.

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Section: Background and Literature Reviewmentioning

confidence: 99%

Utilization of hot spot analysis in the detection of spatial determinants and clusters of the Spanish flu mortality

Obradović

Krivošejev²,

Yamashkin

2020

J geographical I JC

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“…Várias abordagens têm sido desenvolvidas com foco em análise de doenças infecciosas, tais como cólera, gripe H1N1 e leishmaniose [Rasam et al 2011, Jiang et al 2011, Jian-rong and Yan-jun 2010, Amoli 2011, usando um SIG como uma forma de melhorar a qualidade, acesso e uso das informações de saúde. As ferramentas baseadas em SIG podem serúteis também para pesquisadores e gestores de políticas públicas de saúde, por permitir a exploração de mapas para entender a dinâmica espacial das doenças [Kandwal et al 2009].…”

Section: Trabalhos Relacionadosunclassified

Sistema Integrado de Análise e Visualização Epidemiológica Georreferenciada Online para Telemedicina

Inácio¹,

Savaris²,

Alves³

et al. 2016

Anais Do XVI Simpósio Brasileiro De Computação Aplicada À Saúde (SBCAS 2016)

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This paper presents a georeferenced epidemiological analysis tool that is integrated into the infrastructure of the Santa Catarina State Integrated Telemedicine and Telehealth System (STT/SC). GISTelemed integrates STT/SC with the Geographic Information System of Santa Catarina (SIG@SC) and supports recovery, georeferenced visualization and epidemiological analysis on structured and semi-structured data. Results from a case study indicate a positive perception of the usefulness of GISTelemed by experts and health managers. Resumo. Este trabalho apresenta o GISTelemed, uma ferramenta de análise epidemiológica georreferenciada queé integradaà infraestrutura do Sistema Catarinense Integrado de Telemedicina e Telessaúde (STT/SC). O GISTelemed integra o STT/SC com o Sistema de Informações Geográficas de Santa Catarina (SIG@SC) e permite a recuperação, visualização georreferenciada e análise epidemiológica em dados estruturados e semiestruturados. Resultados obtidos através de um estudo de caso indicam uma percepção positiva em relaçãoà utilidade do GISTelemed por especialistas e gestores de saúde.

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GISTelemed: An online-based GIS approach to epidemiological analysis in telemedicine systems

Inácio

Savaris

Alves

et al. 2016

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Large-scale telemedicine systems provide extensive amounts of data that can be used to gather epidemiological information. Epidemiologists have been using GIS systems for the easy and quick visualization of data and to perform georeferenced epidemiological analysis. This paper presents GISTelemed, a georeferenced epidemiological analysis tool developed as part of the Santa Catarina State Integrated Telemedicine and Telehealth System (STT/SC), a statewide telemedicine infrastructure in Brazil. The GISTelemed module offers an architecture supporting real-time recovery, information visualization and epidemiological analysis from structured and semi-structured data. The architecture uses controlled vocabularies for data catalogization and a specially developed ETL process that allows sending and receiving data on a large number of protocols, including DICOM SR and SQL. We performed a case study with users that indicates good perceived ease of use and usefulness of GISTelemed by both medical staff and health care managers.

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Spatial analysis of Influenza A H1N1 and evaluation of risk factors in Changsha City based on GIS

Cited by 3 publications

References 2 publications

Utilization of hot spot analysis in the detection of spatial determinants and clusters of the Spanish flu mortality

Utilization of hot spot analysis in the detection of spatial determinants and clusters of the Spanish flu mortality

Sistema Integrado de Análise e Visualização Epidemiológica Georreferenciada Online para Telemedicina

GISTelemed: An online-based GIS approach to epidemiological analysis in telemedicine systems

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