Disease mapping and spatio-temporal analysis: importance of expected-case computation criteria-Reference-Cited by-同舟云学术

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Disease mapping and spatio-temporal analysis: importance of expected-case computation criteria

Published:2014-11-01 Issue:1 Volume:9 Page:27
ISSN:1970-7096
Container-title:Geospatial health
language:
Short-container-title:Geospat Health

Author:

López-Abente Gonzalo,Aragonés Nuria,García-Pérez Javier,Fernández- Navarro Pablo

Publisher

PAGEPress Publications

Subject

Health Policy,Geography, Planning and Development,Health(social science),Medicine (miscellaneous)

Cited by 12 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. A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden;The Annals of Regional Science;2022-11-28

2. Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate;Geospatial Health;2022-03-22

3. Spatiotemporal high-resolution prediction and mapping: methodology and application to dengue disease;Journal of Geographical Systems;2022-02-19

4. Bayesian spatiotemporal forecasting and mapping of COVID‐19 risk with application to West Java Province, Indonesia;Journal of Regional Science;2021-05-07

5. A systematic review of Bayesian spatial–temporal models on cancer incidence and mortality;International Journal of Public Health;2020-05-24

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