Proceedings of the Third ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health 2014
DOI: 10.1145/2676629.2676631
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Geovisualization for cluster detection of hepatitis A & E outbreaks in Ahmedabad, Gujarat, India

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Cited by 3 publications
(3 citation statements)
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“…Um sistema de vigilância em tempo real de doenças transmitidas pelaágua, na cidade de Ahmedabad, naÍndia,é apresentado em [Hughes et al 2014]. O sistema proposto utiliza várias tecnologias, desde a coleta dos dados, casos de doenças geocodificadas, utilizando tablets Android, até sua análise, usando o Pysal.…”
Section: Trabalhos Relacionadosunclassified
“…Um sistema de vigilância em tempo real de doenças transmitidas pelaágua, na cidade de Ahmedabad, naÍndia,é apresentado em [Hughes et al 2014]. O sistema proposto utiliza várias tecnologias, desde a coleta dos dados, casos de doenças geocodificadas, utilizando tablets Android, até sua análise, usando o Pysal.…”
Section: Trabalhos Relacionadosunclassified
“…Multi-perspective 3D panoramas (Pasewaldt et al 2014) and interactive focus maps (van Dijk and Haunert 2014) have been developed. Visualisation techniques have been applied to explore various types of spatial data such as human mobility data (Kwan et al 2013), Hepatitis A and E outbreaks (Hughes et al 2014), land use change (Vaz and Aversa 2013), and urban heat island data (Danahy et al 2015).…”
Section: Visualisation and Multiple Representationmentioning
confidence: 99%
“…As a software library, PySAL is relied upon by a number of upstream packages to develop specialized tools for spatial analysis, prominent examples include geopandas , geoplot , momepy , and geosnap . PySAL is also used in the analysis by researchers of a wide array of topics across many disciplines including political science (Ingram and Harbers 2019), criminology (Jendryke and McClure 2019), economics (Felkner and Townsend 2011), planning (Nourian, Ohori, and Martinez‐Ortiz 2018), public health (Joo 2017), engineering (Fan et al 2018), environmental science (Heilmayr and Lambin 2016), chemistry (Spiridon and Minh 2017), physics (Jakubska‐Busse et al 2018), religion (Ferguson and Tamburello 2015), biology (Noorbakhsh et al 2019), neuroscience (Burt et al 2018), epidemiology (Hughes et al 2014), technology forecasting (Kwakkel et al 2014), climate change (Ozturk et al 2016), organizational dynamics (Vaz et al 2017), information visualization (Cottam and Lumsdaine 2012), ecology (Theodoridis, Nogués‐Bravo, and Conti 2019), and sociology (Manduca and Sampson 2019), among others.…”
Section: Introductionmentioning
confidence: 99%