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PubPharm (24)
1
Potential impact of annual vaccination with reformulated COVID-19 vaccines : Lessons from the US COVID-19 scenario modeling hub
enthalten in:
PLoS medicine
| 2024
von
Jung, S.
|
Loo, S.
|
Howerton, E.
| +56
UpdateOf: medRxiv. 2023 Nov 18;:. - PMID 37961207
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2
The US COVID-19 and Influenza Scenario Modeling Hubs : Delivering long-term projections to guide policy
enthalten in:
Epidemics
| 2024
von
Loo, S.
|
Howerton, E.
|
Contamin, L.
| +17
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3
flepiMoP : The evolution of a flexible infectious disease modeling pipeline during the COVID-19 pandemic
enthalten in:
Epidemics
| 2024
von
Lemaitre, J.
|
Loo, S.
|
Kaminsky, J.
| +9
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4
Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations
enthalten in:
bioRxiv.org
| 2023
von
Mathis, S.
|
Webber, A.
|
León, T.
| +107
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5
Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations
enthalten in:
medRxiv : the preprint server for health sciences
| 2023
von
Mathis, S.
|
Webber, A.
|
León, T.
| +98
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6
Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the U.S. COVID-19 Scenario Modeling Hub
enthalten in:
bioRxiv.org
| 2023
von
Jung, S.
|
Loo, S.
|
Howerton, E.
| +56
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7
Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty
enthalten in:
Nature communications
| 2023
von
Howerton, E.
|
Contamin, L.
|
Mullany, L.
| +80
UpdateOf: medRxiv. 2023 Jul 03;:. - PMID 37461674
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8
Potential impact of annual vaccination with reformulated COVID-19 vaccines : lessons from the U.S. COVID-19 Scenario Modeling Hub
enthalten in:
medRxiv : the preprint server for health sciences
| 2023
von
Jung, S.
|
Loo, S.
|
Howerton, E.
| +56
UpdateIn: PLoS Med. 2024 Apr 17;21(4):e1004387. - PMID 38630802
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9
Informing pandemic response in the face of uncertainty.
An evaluation of the U.S. COVID-19 Scenario Modeling Hub
enthalten in:
bioRxiv.org
| 2023
von
Howerton, E.
|
Contamin, L.
|
Mullany, L.
| +80
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10
Informing pandemic response in the face of uncertainty. An evaluation of the U.S. COVID-19 Scenario Modeling Hub
enthalten in:
medRxiv : the preprint server for health sciences
| 2023
von
Howerton, E.
|
Contamin, L.
|
Mullany, L.
| +81
UpdateIn: Nat Commun. 2023 Nov 20;14(1):7260. - PMID 37985664
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Ordinary differential equations
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