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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

EpiBeds: Data informed modelling of the COVID-19 hospital burden in England
Christopher E. Overton, Lorenzo Pellis, Helena B. Stage, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 9, pp. e1010406-e1010406
Open Access | Times Cited: 18

Showing 18 citing articles:

Estimating epidemiological delay distributions for infectious diseases
Sang Woo Park, Andrei R. Akhmetzhanov, Kelly Charniga, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 11
Time-varying reproduction number estimation: fusing compartmental models with generalized additive models
Xiaoxi Pang, Yang Han, Elise Tressier, et al.
Journal of The Royal Society Interface (2025) Vol. 22, Iss. 222
Open Access
Estimation of Reproduction Numbers in Real Time: Conceptual and Statistical Challenges
Lorenzo Pellis, Paul Birrell, Joshua Blake, et al.
Journal of the Royal Statistical Society Series A (Statistics in Society) (2022) Vol. 185, Iss. Supplement_1, pp. S112-S130
Open Access | Times Cited: 21
Drivers of epidemic dynamics in real time from daily digital COVID-19 measurements
Michelle Kendall, Luca Ferretti, Chris Wymant, et al.
Science (2024) Vol. 385, Iss. 6710
Closed Access | Times Cited: 3
Time-varying reproduction number estimation: Fusing compartmental models with generalised additive models
Xiaoxi Pang, Yang Han, Elise Tessier, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Admission screening testing of patients and staff N95 respirators are cost-effective in reducing COVID-19 hospital-acquired infections
Fenella McAndrew, Romesh Abeysuriya, Rachel Sacks‐Davis, et al.
Journal of Hospital Infection (2024) Vol. 152, pp. 81-92
Closed Access | Times Cited: 2
An integral renewal equation approach to behavioural epidemic models with information index
Bruno Buonomo, Eleonora Messina, Claudia Panico, et al.
Journal of Mathematical Biology (2024) Vol. 90, Iss. 1
Closed Access | Times Cited: 2
Combining models to generate a consensus effective reproduction numberRfor the COVID-19 epidemic status in England
Harrison Manley, Josie Park, Luke D. Bevan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Combining models to generate a consensus effective reproduction number R for the COVID-19 epidemic status in England
Harrison Manley, Josie Park, Luke D. Bevan, et al.
Epidemiology and Infection (2024) Vol. 152
Open Access | Times Cited: 1
Admission Screening Testing of Patients and Staff N95 Masks are Cost-Effective in Reducing COVID-19 Hospital Acquired Infections
Fenella McAndrew, Romesh Abeysuriya, Rachel Sacks‐Davis, et al.
(2024)
Closed Access | Times Cited: 1
Large-scale real-life implementation of technology-enabled care to maximize hospitals' medical surge preparedness during future infectious disease outbreaks and winter seasons: a viewpoint
Talia Sener, Winne Haenen, Patrick Smits, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 3
Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models
Conor Rosato, Robert Moore, Matthew Carter, et al.
Information (2023) Vol. 14, Iss. 3, pp. 170-170
Open Access | Times Cited: 2
Combining models to generate consensus medium-term projections of hospital admissions, occupancy and deaths relating to COVID-19 in England
Harrison Manley, Thomas Bayley, Gabriel Danelian, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 5
Open Access
A modular approach to forecasting COVID-19 hospital bed occupancy
Ruarai Tobin, James R. Walker, Robert Moss, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Large-scale real-life implementation of technology-enabled care to maximize hospitals’ medical surge preparedness during future infectious disease outbreaks and winter seasons: A viewpoint. (Preprint)
Talia Sener, Winne Haenen, Patrick Smits, et al.
(2022)
Closed Access | Times Cited: 1
Health informatics and data science for pandemic preparedness
Anurag Agrawal
Elsevier eBooks (2023), pp. 349-355
Closed Access
Deep Learning Based Forecasting of COVID-19 Hospitalisation in England: A Comparative Analysis
Michael Ajao-olarinoye, Vasile Palade, Seyed Mahdi Mousavi, et al.
(2023), pp. 1344-1349
Closed Access
Understanding Waiting Lists Pressures
Kevin Fong, Yasser Mushtaq, Thomas House, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
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