Characterizing the initial diffusion pattern of pandemic (H1N1) 2009 using surveillance data | Zendy

Shui Shan Lee | Zendy; Ngai Sze Wong | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Characterizing the initial diffusion pattern of pandemic (H1N1) 2009 using surveillance data

Author(s) -

Shui Shan Lee,

Ngai Sze Wong

Publication year - 2010

Publication title -

plos currents

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.282

H-Index - 49

ISSN - 2157-3999

DOI - 10.1371/currents.rrn1151

Subject(s) - pandemic , geographic information system , covid-19 , computer science , spatial analysis , human influenza , location data , h1n1 pandemic , data mining , geography , medicine , environmental health , cartography , remote sensing , pathology , computer security , disease , infectious disease (medical specialty)

Using notification data, diffusion of pandemic human influenza A (H1N1) 2009 in Hong Kong was explored with geographic information system (GIS) methodology. Point data were displayed and then analysed with interpolation and the application of SaTScan™. Beginning from 6 initial foci, the spatial distribution has remained heterogeneous at the end of the first three months, with students functioning as the main disseminators. Our study showed that routinely collected surveillance data could be effectively used for describing the epidemic, which could support the development of interventions at local levels.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research