Adapting vector surveillance using Bayesian experimental design: An application to an ongoing tick monitoring program in the southeastern United States-Reference-Cited by-同舟云学术

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Adapting vector surveillance using Bayesian experimental design: An application to an ongoing tick monitoring program in the southeastern United States

Published:2024-05 Issue:3 Volume:15 Page:102329
ISSN:1877-959X
Container-title:Ticks and Tick-borne Diseases
language:en
Short-container-title:Ticks and Tick-borne Diseases

Author:

Case B.K.M.^ORCID,Dye-Braumuller Kyndall C.^ORCID,Evans Chris^ORCID,Li Huixuan^ORCID,Rustin Lauren^ORCID,Nolan Melissa S.

Funder

National Institutes of Health

Centers for Disease Control and Prevention

Publisher

Elsevier BV

Reference46 articles.

1. Improved Magnus Form Approximation of Saturation Vapor Pressure;Alduchov;J. Appl. Meteorol. Clim.,1996

2. Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata;Case;PLOS Negl.Trop. Dis.,2022

3. Centers for Disease Control and Prevention, 2021. Guide to the surveillance of Metastriate Ticks (Acari: ixodidae) and their Pathogens in the United States [WWW Document]. URL https://www.cdc.gov/ticks/surveillance/MetastriateTicks.html (accessed 9.19.23).

4. Optimal Bayesian design applied to logistic regression experiments;Chaloner;J. Statist. Plann. Inference,1989

5. Bayesian experimental design: a review;Chaloner;Inst. Math. Stat.,1995

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. A brief review and guidance on the spatiotemporal sampling designs for disease vector surveillance;Current Research in Parasitology & Vector-Borne Diseases;2024

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