[HTML][HTML] Projecting COVID-19 intensive care admissions for policy advice, the Netherlands, February 2020 to January 2021

D Klinkenberg, J Backer, N de Keizer… - …, 2024 - eurosurveillance.org
Background Model projections of coronavirus disease 2019 (COVID-19) incidence help
policymakers about decisions to implement or lift control measures. During the pandemic …

A cross-national study of multilevel determinants on public fully vaccination against COVID-19

F Hao - Health & Place, 2023 - Elsevier
The pandemic caused by SARS-CoV-2 (COVID-19) has impacted the world for close to
three years and led to substantial costs to public well-being. To mitigate the pandemic's …

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021

J Bracher, D Wolffram, J Deuschel, K Görgen… - Communications …, 2022 - nature.com
Background During the COVID-19 pandemic there has been a strong interest in forecasts of
the short-term development of epidemiological indicators to inform decision makers. In this …

Why are different estimates of the effective reproductive number so different? A case study on COVID-19 in Germany

EK Brockhaus, D Wolffram, T Stadler… - PLOS Computational …, 2023 - journals.plos.org
The effective reproductive number R t has taken a central role in the scientific, political, and
public discussion during the COVID-19 pandemic, with numerous real-time estimates of this …

Learning from the past: A short term forecast method for the COVID-19 incidence curve

JD Morel, JM Morel, L Alvarez - PLoS Computational Biology, 2023 - journals.plos.org
The COVID-19 pandemy has created a radically new situation where most countries provide
raw measurements of their daily incidence and disclose them in real time. This enables new …

Forecasting the trend of tuberculosis incidence in Anhui Province based on machine learning optimization algorithm, 2013–2023

Y Zhang, H Ma, H Wang, Q Xia, S Wu, J Meng… - BMC Pulmonary …, 2024 - Springer
Tuberculosis has been one of the most common communicable diseases raising global
concerns. Accurately predicting the incidence of Tuberculosis remains challenging. Here we …

A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models

N Banholzer, T Mellan, HJT Unwin… - arXiv preprint arXiv …, 2023 - arxiv.org
Short-term forecasts of infectious disease spread are a critical component in risk evaluation
and public health decision making. While different models for short-term forecasting have …

Projecting COVID-19 intensive care admissions in the Netherlands for policy advice: February 2020 to January 2021

D Klinkenberg, JA Backer, NF De Keizer, J Wallinga - medRxiv, 2023 - medrxiv.org
Introduction Model projections of COVID-19 incidence into the future help policy makers
about decisions to implement or lift control measures. During 2020, policy makers in the …

Modelling COVID-19 spread to reconstruct the viral dissemination and inform the design of interventions

B Faucher - 2024 - theses.hal.science
Emerging pathogens pose significant challenges to public health authorities. In the context
of the COVID-19 pandemic, the SARS-COV-2 and the variants of concern followed a similar …

Reactive vaccination of workplaces and schools against COVID-19

B Faucher, R Assab, J Roux, D Levy-Bruhl, CT Kiem… - medRxiv, 2021 - medrxiv.org
As vaccination against COVID-19 stalls in some countries, increased accessibility and more
adaptive approaches may be useful to keep the epidemic under control. Here, we study the …