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:

Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty
Emily Howerton, Lucie Contamin, Luke C. Mullany, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations
Sarabeth Mathis, Alexander E. Webber, Tomás M. León, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 11

A multiscale modeling framework for Scenario Modeling: Characterizing the heterogeneity of the COVID-19 epidemic in the US
Matteo Chinazzi, Jessica T. Davis, Ana Pastore y Piontti, et al.
Epidemics (2024) Vol. 47, pp. 100757-100757
Open Access | Times Cited: 7

Projecting Omicron scenarios in the US while tracking population-level immunity
Anass Bouchnita, Kaiming Bi, Spencer J. Fox, et al.
Epidemics (2024) Vol. 46, pp. 100746-100746
Open Access | Times Cited: 6

Informing the development of transmission modelling guidance for global immunization decision-making: A qualitative needs assessment
Julie Leask, Maria Christou-Ergos, Ikram Abdi, et al.
Vaccine (2025) Vol. 49, pp. 126800-126800
Closed Access

Adopting Technological Innovations to Enhance Disaster Event Response
Ryan Leone, Kaitlin Rainwater‐Lovett, Dan Hanfling
Disaster Medicine and Public Health Preparedness (2025) Vol. 19
Closed Access

The US COVID-19 and Influenza Scenario Modeling Hubs: Delivering long-term projections to guide policy
Sara L. Loo, Emily Howerton, Lucie Contamin, et al.
Epidemics (2023) Vol. 46, pp. 100738-100738
Open Access | Times Cited: 12

Ensemble2: Scenarios ensembling for communication and performance analysis
Clara Bay, Guillaume St-Onge, Jessica T. Davis, et al.
Epidemics (2024) Vol. 46, pp. 100748-100748
Open Access | Times Cited: 4

Redefining pandemic preparedness: Multidisciplinary insights from the CERP modelling workshop in infectious diseases, workshop report
Marta C. Nunes, Edward W. Thommes, Holger Fröhlich, et al.
Infectious Disease Modelling (2024) Vol. 9, Iss. 2, pp. 501-518
Open Access | Times Cited: 4

When do we need multiple infectious disease models? Agreement between projection rank and magnitude in a multi-model setting
La Keisha Wade-Malone, Emily Howerton, William J. M. Probert, et al.
Epidemics (2024) Vol. 47, pp. 100767-100767
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

Projecting the future impact of emerging SARS-CoV-2 variants under uncertainty: Modeling the initial Omicron outbreak
Sean M. Moore, Sean Cavany, T. Alex Perkins, et al.
Epidemics (2024) Vol. 47, pp. 100759-100759
Open Access | Times Cited: 3

Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections
Przemyslaw Porebski, Srinivasan Venkatramanan, Aniruddha Adiga, et al.
Epidemics (2024) Vol. 47, pp. 100761-100761
Open Access | Times Cited: 3

Potential impact of annual vaccination with reformulated COVID-19 vaccines: Lessons from the US COVID-19 scenario modeling hub
Sung-mok Jung, Sara L. Loo, Emily Howerton, et al.
PLoS Medicine (2024) Vol. 21, Iss. 4, pp. e1004387-e1004387
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

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

Expanding the use of mathematical modeling in healthcare epidemiology and infection prevention and control
Rebecca Grant, Michael Rubin, Mohamed Abbas, et al.
Infection Control and Hospital Epidemiology (2024), pp. 1-6
Closed Access | Times Cited: 2

Scenario Design for Infectious Disease Projections: Integrating Concepts from Decision Analysis and Experimental Design
Michael C. Runge, Katriona Shea, Emily Howerton, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5

The Limitations of a Hypothetical All-Variant COVID-19 Vaccine: A Simulation Study
Robert J. Kosinski
Vaccines (2024) Vol. 12, Iss. 5, pp. 532-532
Open Access | Times Cited: 1

An inaugural forum on epidemiological modeling for public health stakeholders in Arizona
Joseph R. Mihaljevic, Carmenlita Chief, Mehreen Malik, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 1

Integrating Genomic, Climatic, and Immunological Factors to Analyze Seasonal Patterns of Influenza Variants
Anass Bouchnita, Behzad Djafari Rouhani
Symmetry (2024) Vol. 16, Iss. 8, pp. 943-943
Open Access | Times Cited: 1

Fitting Epidemic Models to Data: A Tutorial in Memory of Fred Brauer
David J. D. Earn, Sang Woo Park, Benjamin M. Bolker
Bulletin of Mathematical Biology (2024) Vol. 86, Iss. 9
Closed Access | Times Cited: 1

Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations
Sarabeth Mathis, Alexander E. Webber, Tomás M. León, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4

Evaluating Return on Investment for Cyberinfrastructure Using the International Integrated Reporting <IR> Framework
Winona Snapp‐Childs, David Hart, Claudia M. Costa, et al.
SN Computer Science (2024) Vol. 5, Iss. 5
Open Access | Times Cited: 1

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