Are spatial models advantageous for predicting county-level HIV epidemiology across the United States?-Reference-Cited by-同舟云学术

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Are spatial models advantageous for predicting county-level HIV epidemiology across the United States?

Published:2021-08 Issue: Volume:38 Page:100436
ISSN:1877-5845
Container-title:Spatial and Spatio-temporal Epidemiology
language:en
Short-container-title:Spatial and Spatio-temporal Epidemiology

Author:

Sass Danielle,Farkhad Bita Fayaz,Li Bo,Sally Chan Man-pui,Albarracín Dolores

Funder

National Institutes of Health

National Institute of Mental Health

National Institute on Drug Abuse

National Institute of Allergy and Infectious Diseases

National Science Foundation

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Infectious Diseases,Geography, Planning and Development,Epidemiology

Reference52 articles.

1. AHRF, 2019. Ahrf [internet] area health resources files. Cited 2020 September 7.

2. A review of hot deck imputation for surveynon-response;Andridge;Int. Stat. Rev.,2010

3. Sexually transmitted infections and hiv in the southern united states: an overview;Aral;Sex. Transm. Dis.,2006

4. A review of spatial methods in epidemiology 2000–2010;Auchincloss;Annu. Rev. Public Health,2012

5. Importance of spatial autocorrelation in modeling bird distributions at a continental scale;Bahn;Ecography,2006

Cited by 1 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. Bias correction for nonignorable missing counts of areal HIV new diagnosis;Stat;2023-01

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