Spatio-temporal modelling of the HIV epidemic in Japan based on the national HIV/AIDS surveillance-Reference-Cited by-同舟云学术

Spatio-temporal modelling of the HIV epidemic in Japan based on the national HIV/AIDS surveillance

Published:2005-10-19 Issue:3-4 Volume:7 Page:313-336
ISSN:1435-5930
Container-title:Journal of Geographical Systems
language:en
Short-container-title:J Geograph Syst

Author:

Nakaya Tomoki,Nakase Katsumi,Osaka Ken

Publisher

Springer Science and Business Media LLC

Subject

Economics and Econometrics,Geography, Planning and Development

Link

http://link.springer.com/content/pdf/10.1007/s10109-005-0008-3.pdf

Reference37 articles.

1. Anderson RM, May RM, Anderson B (1992) Infectious diseases of humans: dynamics and control. Oxford University Press, Oxford (Reprinted Edition)

2. Bailey NTJ (1975) The mathematical theory of infectious diseases and its applications. Griffin, London

3. Baroyan OV, Rvachev LA (1967) Deterministic epidemic models for a territory with a transport network. Kibernetika 3:67–74

4. Brundson C, Fotheringham AS, Charlton M (1996) Geographically weighted regression: a method for exploring spatial non-stationarity. Geogr Anal 28:281–298

5. Casetti E, Fan CC (1991) The spatial spread of the AIDS epidemic in Ohio: empirical analysis using the expansion method. Environ Plann A 23:1589–1608

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. When everyone’s doing it: The relative effects of geographical context and social determinants of health on teen birth rates;Health & Place;2024-05

2. Spatial Heterogeneity in Determinants of No Condom Use at First Sex in South Africa;The Open Public Health Journal;2024-04-29

3. A linearization for stable and fast geographically weighted Poisson regression;International Journal of Geographical Information Science;2023-05-12

4. Exploring Determinants of HIV/AIDS Self-Testing Uptake in South Africa Using Generalised Linear Poisson and Geographically Weighted Poisson Regression;Healthcare;2023-03-17

5. Spatial distribution of inequalities in end-stage renal disease in the United States;Spatial and Spatio-temporal Epidemiology;2019-08