Spatial Components in Disease Modelling - Kim-hung KWONG and Poh-chin LAI

Spatial Components in Disease Modelling Kim-hung KWONG and Poh-chin LAI Department of Geography The University of Hong Kong

Contents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Background (1) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Background ( 2 ) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Background ( 3 ) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Methods (1) Objectives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Methods (2) Hypotheses ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Methods (3) Study Area and Period ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Methods (4) Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Analysis (1) Mapping SARS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Analysis (2) Mapping SARS ,[object Object],[object Object],[object Object],[object Object]

Analysis (3) Socio-economic Factors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Analysis (4) Socio-economic Factors 28303 .000 .390 (**) h) Net residential density 28303 .000 -.098 (**) g) Average no. of rooms per household 28303 .001 -.020 (**) c) % of the population over 65 years old All grids (excluding country parks) 1316 .000 .204 (**) h) Net residential density 1316 .000 -.098 (**) g) Average no. of rooms per household 1316 .025 .062 (*) c) % of the population over 65 years old Grids with SARS cases only N Sig. Coefficiencts Variables

Fewer cases in low residential density areas

Implications and Future Research ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Further Information ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Spatial Components in Disease Modelling - Kim-hung KWONG and Poh-chin LAI

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