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Spatial-temporal analysis of enterovirus infection in Macao Special Administrative Region, China, 2011-2016 / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 661-663, 2018.
Article in Zh | WPRIM | ID: wpr-738020
Responsible library: WPRO
ABSTRACT
Objective: To understand the spatial-temporal distribution of enterovirus infection in Macao Special Administrative Region, China, from 2011 to 2016. Methods: The incidence data of enterovirus infections in child care settings and primary schools in Macao during this period, which were confirmed by the Health Bureau, were used for the spatial-temporal analysis. Bernoulli model was used as probability model. Software SPSS 20.0 was used for descriptive statistics of the study cases, and software SaTScan 9.4.4 was used for spatial and temporal scanning. Finally, software Google Earth was used for visualization of geographical information. Results: A total of 330 enterovirus infection events were reported in Macao from 2011 to 2016. The infection event number was highest in 2014 (101, 30.6%), the infections mainly occurred during May to June. A case clustering area with a radius of 0.7 km (high rates) was observed in northeast of Macao from 2011 to 2013 (log likelihood rate=13.4, P<0.001, RR=1.4). Conclusion: The annual prevention of enterovirus infection and related health education should be started in February and March in Macao, and the key area is the northeast of Macao island.
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Full text: 1 Index: WPRIM Main subject: Software / Cluster Analysis / China / Child Health / Incidence / Probability / Enterovirus Infections / Spatio-Temporal Analysis / Geography Limits: Child / Humans Country/Region as subject: Asia Language: Zh Journal: Chinese Journal of Epidemiology Year: 2018 Type: Article
Full text: 1 Index: WPRIM Main subject: Software / Cluster Analysis / China / Child Health / Incidence / Probability / Enterovirus Infections / Spatio-Temporal Analysis / Geography Limits: Child / Humans Country/Region as subject: Asia Language: Zh Journal: Chinese Journal of Epidemiology Year: 2018 Type: Article