A Spatio-Temporal Modeling Framework for Surveillance Data of Multiple Infectious Pathogens With Small Laboratory Validation Sets-Reference-Cited by-同舟云学术

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A Spatio-Temporal Modeling Framework for Surveillance Data of Multiple Infectious Pathogens With Small Laboratory Validation Sets

Published:2019-04-30 Issue:528 Volume:114 Page:1561-1573
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Tang Xueying¹,Yang Yang²,Yu Hong-Jie³,Liao Qiao-Hong³,Bliznyuk Nikolay¹⁴

Affiliation:

1. Department of Statistics, University of Florida, Gainesville, FL;

2. Department of Biostatistics and Emerging Pathogens Institute, University of Florida, Gainesville, FL;

3. Chinese Center for Disease Control and Prevention, Beijing, China;

4. Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL

Funder

National Institute of Allergy and Infectious Diseases

National Institute of General Medicine

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2019.1585250

Reference29 articles.

1. Spatiotemporal prediction for log-Gaussian Cox processes

2. Understanding the Metropolis-Hastings Algorithm

3. Missing Data in Longitudinal Studies

4. Identifiability and estimation of multiple transmission pathways in cholera and waterborne disease

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1. Optimizing laboratory-based surveillance networks for monitoring multi-genotype or multi-serotype infections;PLOS Computational Biology;2022-09-27

2. Discussion of “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data”;Journal of the American Statistical Association;2021-10-02

3. Geographically Weighted Regression;Statistical Methods for Global Health and Epidemiology;2020

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