Space-time scan statistics of 2007-2013 dengue incidence in Cimahi City, Indonesia
| Autor: | Andri Ruliansyah, M. Ezza Azmi Fuadiyah, Pandji Wibawa Dhewantara, Mutiara Widawati, Endang Puji Astuti |
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| Rok vydání: | 2015 |
| Předmět: |
Male
medicine.medical_specialty Health (social science) Climate Geography Planning and Development Population Medicine (miscellaneous) lcsh:G1-922 West java Total population Dengue fever Disease Outbreaks Dengue Cluster analysis Spatio-Temporal Analysis Kilometer Epidemiology Statistics medicine Humans Cities education education.field_of_study Health Policy Incidence (epidemiology) Incidence Space-time analysis medicine.disease Geography Indonesia Remote Sensing Technology Female Topography Medical Risk assessment lcsh:Geography (General) |
| Zdroj: | Geospatial Health, Vol 10, Iss 2 (2015) |
| ISSN: | 1970-7096 |
| Popis: | Four dengue serotypes threatened more than 200 million people and has spread to over 400 districts in Indonesia. Furthermore, 26 districts in most densely populated province, West Java, have been declared as hyperendemic areas. Cimahi is an endemic city with the highest population (14,969 people per square kilometer). Evidence on distribution pattern of dengue cases is required to discover the spread of dengue cases in Cimahi. A study has been conducted to detect clusters of dengue incidence during 2007-2013. A temporal spatial analysis was performed using SaTScan™ software incorporated confirmed dengue monthly data from the Municipality Health Office and population data from a local Bureau of Statistics. A retrospective space-time analysis with a Poisson distribution model and monthly precision was performed. Our results revealed a significant most likely cluster (p |
| Databáze: | OpenAIRE |
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