Filtering and improved Uncertainty Quantification in the dynamic estimation of effective reproduction numbers-Reference-Cited by-同舟云学术

Filtering and improved Uncertainty Quantification in the dynamic estimation of effective reproduction numbers

Published:2022-09 Issue: Volume:40 Page:100624
ISSN:1755-4365
Container-title:Epidemics
language:en
Short-container-title:Epidemics

Author:

Capistrán Marcos A.^ORCID,Capella Antonio^ORCID,Christen J. Andrés^ORCID

Funder

UNAM

Office of Naval Research

CONACYT

Publisher

Elsevier BV

Subject

Virology,Infectious Diseases,Public Health, Environmental and Occupational Health,Microbiology,Parasitology,Epidemiology

Reference27 articles.

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3. Semi-mechanistic bayesian modeling of covid-19 with renewal processes;Bhatt,2020

4. Forecasting hospital demand in metropolitan areas during the current covid-19 pandemic and estimates of lockdown-induced 2nd waves;Capistran;MedRxiv,2020

5. Estimating in real time the efficacy of measures to control emerging communicable diseases;Cauchemez;Am. J. Epidemiol.,2006

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1. Incorporating testing volume into estimation of effective reproduction number dynamics;Journal of the Royal Statistical Society Series A: Statistics in Society;2023-12-13

2. Data-driven estimation of the instantaneous reproduction number and growth rates for the 2022 monkeypox outbreak in Europe;PLOS ONE;2023-09-13

3. Data-driven estimation of the instantaneous reproduction number and growth rates for the 2022 monkeypox outbreak in Europe;2022-12-20