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Infectious Disease Transmission Models to Predict, Evaluate, and Improve Understanding of COVID-19 Trajectory and Interventions.
Ann Am Thorac Soc. 2020 10; 17(10):1204-1206.AA

Links

PMC Free PDF

Authors+Show Affiliations

Buchwald AG
Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz, Aurora, Colorado.
Adams J
Health & Behavioral Sciences, University of Colorado Denver, Denver, Colorado; and.
Bortz DM
Applied Mathematics, University of Colorado Boulder, Boulder, Colorado.
Carlton EJ
Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz, Aurora, Colorado.

MeSH

BetacoronavirusCOVID-19Communicable Disease ControlCoronavirus InfectionsDisease Transmission, InfectiousHumansModels, TheoreticalPandemicsPneumonia, ViralQuality ImprovementSARS-CoV-2

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

32610024

Citation

Buchwald, Andrea G., et al. "Infectious Disease Transmission Models to Predict, Evaluate, and Improve Understanding of COVID-19 Trajectory and Interventions." Annals of the American Thoracic Society, vol. 17, no. 10, 2020, pp. 1204-1206.
Buchwald AG, Adams J, Bortz DM, et al. Infectious Disease Transmission Models to Predict, Evaluate, and Improve Understanding of COVID-19 Trajectory and Interventions. Ann Am Thorac Soc. 2020;17(10):1204-1206.
Buchwald, A. G., Adams, J., Bortz, D. M., & Carlton, E. J. (2020). Infectious Disease Transmission Models to Predict, Evaluate, and Improve Understanding of COVID-19 Trajectory and Interventions. Annals of the American Thoracic Society, 17(10), 1204-1206. https://doi.org/10.1513/AnnalsATS.202005-501PS
Buchwald AG, et al. Infectious Disease Transmission Models to Predict, Evaluate, and Improve Understanding of COVID-19 Trajectory and Interventions. Ann Am Thorac Soc. 2020;17(10):1204-1206. PubMed PMID: 32610024.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Infectious Disease Transmission Models to Predict, Evaluate, and Improve Understanding of COVID-19 Trajectory and Interventions. AU - Buchwald,Andrea G, AU - Adams,Jimi, AU - Bortz,David M, AU - Carlton,Elizabeth J, PY - 2020/7/2/pubmed PY - 2020/10/21/medline PY - 2020/7/2/entrez SP - 1204 EP - 1206 JF - Annals of the American Thoracic Society JO - Ann Am Thorac Soc VL - 17 IS - 10 SN - 2325-6621 UR - https://www.unboundmedicine.com/medline/citation/32610024/Infectious_Disease_Transmission_Models_to_Predict_Evaluate_and_Improve_Understanding_of_COVID_19_Trajectory_and_Interventions_ DB - PRIME DP - Unbound Medicine ER -