
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:
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
Katharine Sherratt, Hugo Gruson, Rok Grah, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 55
Katharine Sherratt, Hugo Gruson, Rok Grah, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 55
Showing 1-25 of 55 citing articles:
Mpox: An Overview of Pathogenesis, Diagnosis, and Public Health Implications
Francesco Branda, Chiara Romano, Massimo Ciccozzi, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 8, pp. 2234-2234
Open Access | Times Cited: 20
Francesco Branda, Chiara Romano, Massimo Ciccozzi, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 8, pp. 2234-2234
Open Access | Times Cited: 20
Scoring epidemiological forecasts on transformed scales
Nikos I Bosse, Sam Abbott, Anne Cori, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 8, pp. e1011393-e1011393
Open Access | Times Cited: 15
Nikos I Bosse, Sam Abbott, Anne Cori, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 8, pp. e1011393-e1011393
Open Access | Times Cited: 15
A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecasts
Giovanni Ziarelli, Stefano Pagani, Nicola Parolini, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117796-117796
Open Access
Giovanni Ziarelli, Stefano Pagani, Nicola Parolini, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117796-117796
Open Access
Collaborative forecasting of influenza-like illness in Italy: The Influcast experience
Stefania Fiandrino, Andrea Bizzotto, Giorgio Guzzetta, et al.
Epidemics (2025) Vol. 50, pp. 100819-100819
Open Access
Stefania Fiandrino, Andrea Bizzotto, Giorgio Guzzetta, et al.
Epidemics (2025) Vol. 50, pp. 100819-100819
Open Access
Real-time prediction of influenza and respiratory syncytial virus epidemics in primary care using the Gompertz model
Aida Perramon‐Malavez, Qiaoling Ye, Daniel López, et al.
Research Square (Research Square) (2025)
Closed Access
Aida Perramon‐Malavez, Qiaoling Ye, Daniel López, et al.
Research Square (Research Square) (2025)
Closed Access
Age-specific contribution of contacts to transmission of SARS-CoV-2 in Germany
Isti Rodiah, Patrizio Vanella, Alexander Kuhlmann, et al.
European Journal of Epidemiology (2023) Vol. 38, Iss. 1, pp. 39-58
Open Access | Times Cited: 15
Isti Rodiah, Patrizio Vanella, Alexander Kuhlmann, et al.
European Journal of Epidemiology (2023) Vol. 38, Iss. 1, pp. 39-58
Open Access | Times Cited: 15
Collaborative nowcasting of COVID-19 hospitalization incidences in Germany
Daniel Wolffram, Sam Abbott, Matthias an der Heiden, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 8, pp. e1011394-e1011394
Open Access | Times Cited: 13
Daniel Wolffram, Sam Abbott, Matthias an der Heiden, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 8, pp. e1011394-e1011394
Open Access | Times Cited: 13
Characterising information gains and losses when collecting multiple epidemic model outputs
Katharine Sherratt, Ajitesh Srivastava, Kylie E. C. Ainslie, et al.
Epidemics (2024) Vol. 47, pp. 100765-100765
Open Access | Times Cited: 4
Katharine Sherratt, Ajitesh Srivastava, Kylie E. C. Ainslie, et al.
Epidemics (2024) Vol. 47, pp. 100765-100765
Open Access | Times Cited: 4
Country-report pattern corrections of new cases allow accurate 2-week predictions of COVID-19 evolution with the Gompertz model
Inmaculada Villanueva, David Conesa, Martí Català, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Inmaculada Villanueva, David Conesa, Martí Català, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Estimating the COVID-19 prevalence from wastewater
Jan Möhring, Neele Leithäuser, Jarosław Wlazło, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Jan Möhring, Neele Leithäuser, Jarosław Wlazło, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Inference of epidemic dynamics in the COVID-19 era and beyond
Anne Cori, Adam J. Kucharski
Epidemics (2024) Vol. 48, pp. 100784-100784
Open Access | Times Cited: 4
Anne Cori, Adam J. Kucharski
Epidemics (2024) Vol. 48, pp. 100784-100784
Open Access | Times Cited: 4
National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021
Johannes Bracher, Daniel Wolffram, Jannik Deuschel, et al.
Communications Medicine (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 20
Johannes Bracher, Daniel Wolffram, Jannik Deuschel, et al.
Communications Medicine (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 20
Predicting subnational incidence of COVID-19 cases and deaths in EU countries
Alexis Robert, Lloyd A. C. Chapman, Rok Grah, et al.
BMC Infectious Diseases (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Alexis Robert, Lloyd A. C. Chapman, Rok Grah, et al.
BMC Infectious Diseases (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Infectious disease surveillance needs for the United States: lessons from Covid-19
Marc Lipsitch, Mary T. Bassett, John S. Brownstein, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 3
Marc Lipsitch, Mary T. Bassett, John S. Brownstein, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 3
Machine learning for data-centric epidemic forecasting
Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, et al.
Nature Machine Intelligence (2024)
Closed Access | Times Cited: 3
Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, et al.
Nature Machine Intelligence (2024)
Closed Access | Times Cited: 3
Forecasting the trajectory of the COVID-19 pandemic into 2023 under plausible variant and intervention scenarios: a global modelling study
Robert C. Reiner, James K. Collins, Chris Murray
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 9
Robert C. Reiner, James K. Collins, Chris Murray
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 9
Evaluating the use of social contact data to produce age-specific short-term forecasts of SARS-CoV-2 incidence in England
James D. Munday, Sam Abbott, Sophie Meakin, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 9, pp. e1011453-e1011453
Open Access | Times Cited: 8
James D. Munday, Sam Abbott, Sophie Meakin, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 9, pp. e1011453-e1011453
Open Access | Times Cited: 8
Innovative Applications of Unsupervised Learning in Uncertainty-Aware Pharmaceutical Supply Chain Planning
Farid Kochakkashani, Vahid Kayvanfar, Roberto Baldacci
IEEE Access (2024) Vol. 12, pp. 107984-107999
Open Access | Times Cited: 2
Farid Kochakkashani, Vahid Kayvanfar, Roberto Baldacci
IEEE Access (2024) Vol. 12, pp. 107984-107999
Open Access | Times Cited: 2
How does policy modelling work in practice? A global analysis on the use of modelling in Covid-19 decision-making
Liza Hadley, Caylyn Rich, Alex Tasker, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Liza Hadley, Caylyn Rich, Alex Tasker, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Near-term forecasting of Covid-19 cases and hospitalisations in Aotearoa New Zealand
Michael J. Plank, Leighton M. Watson, Oliver J. Maclaren
PLoS Computational Biology (2024) Vol. 20, Iss. 1, pp. e1011752-e1011752
Open Access | Times Cited: 2
Michael J. Plank, Leighton M. Watson, Oliver J. Maclaren
PLoS Computational Biology (2024) Vol. 20, Iss. 1, pp. e1011752-e1011752
Open Access | Times Cited: 2
Scoring epidemiological forecasts on transformed scales
Nikos I Bosse, Sam Abbott, Anne Cori, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Nikos I Bosse, Sam Abbott, Anne Cori, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Explicit modeling of antibody levels for infectious disease simulations in the context of SARS-CoV-2
Sebastian Alexander Müller, Sydney Paltra, Jakob Rehmann, et al.
iScience (2023) Vol. 26, Iss. 9, pp. 107554-107554
Open Access | Times Cited: 6
Sebastian Alexander Müller, Sydney Paltra, Jakob Rehmann, et al.
iScience (2023) Vol. 26, Iss. 9, pp. 107554-107554
Open Access | Times Cited: 6
The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic
Richard Grieve, Youqi Yang, Sam Abbott, et al.
PLOS Global Public Health (2023) Vol. 3, Iss. 11, pp. e0002601-e0002601
Open Access | Times Cited: 6
Richard Grieve, Youqi Yang, Sam Abbott, et al.
PLOS Global Public Health (2023) Vol. 3, Iss. 11, pp. e0002601-e0002601
Open Access | Times Cited: 6
Short‐term forecasts of Monkeypox cases in multiple countries: keep calm and don't panic
Marco Mingione, Massimo Ciccozzi, Marco Falcone, et al.
Journal of Medical Virology (2022) Vol. 95, Iss. 1
Open Access | Times Cited: 9
Marco Mingione, Massimo Ciccozzi, Marco Falcone, et al.
Journal of Medical Virology (2022) Vol. 95, Iss. 1
Open Access | Times Cited: 9