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Aob PLANTS
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December 21, 2019
Intrinsic and extrinsic drivers of intraspecific variation in seed dispersal are diverse and pervasive
Eugene W Schupp, Rafal Zwolak, Landon R Jones, et al.
Plos Biology
|
June 17, 2021
Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making
James D Nichols, Tiffany L Bogich, Emily Howerton, et al.
Aob PLANTS
|
October 4, 2019
The total dispersal kernel: a review and future directions
Haldre S Rogers, Noelle G Beckman, Florian Hartig, et al.
Epidemics
|
February 18, 2022
Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling
Ben Swallow, Paul Birrell, Joshua Blake, et al.
American Journal of Public Health
|
April 14, 2022
Collaborative Hubs: Making the Most of Predictive Epidemic Modeling
Nicholas G Reich, Justin Lessler, Sebastian Funk, et al.
Epidemics
|
January 7, 2024
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.
Aob PLANTS
|
March 22, 2019
Employing plant functional groups to advance seed dispersal ecology and conservation
Clare Aslan, Noelle G Beckman, Haldre S Rogers, et al.
Medrxiv : the Preprint Server for Health Sciences
|
April 20, 2026
Assessing the Impact of Timing and Coverage of United States COVID-19 Vaccination Campaigns: A Multi-Model Approach
Anjalika Nande, Soren L Larsen, James Turtle, et al.
Aob PLANTS
|
April 30, 2020
Advancing an interdisciplinary framework to study seed dispersal ecology
Noelle G Beckman, Clare E Aslan, Haldre S Rogers, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 10, 2026
Adaptive multi-model ensembles for improved epidemic projections and decision support
Stefania Fiandrino, Daniela Paolotti, Clara Bay, et al.
Page
of 11
Search research articles
Search
Showing results (81-90 of 102) with videos related to
Sort By:
Page
of 11
Aob PLANTS
|
December 21, 2019
Intrinsic and extrinsic drivers of intraspecific variation in seed dispersal are diverse and pervasive
Eugene W Schupp, Rafal Zwolak, Landon R Jones, et al.
Plos Biology
|
June 17, 2021
Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making
James D Nichols, Tiffany L Bogich, Emily Howerton, et al.
Aob PLANTS
|
October 4, 2019
The total dispersal kernel: a review and future directions
Haldre S Rogers, Noelle G Beckman, Florian Hartig, et al.
Epidemics
|
February 18, 2022
Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling
Ben Swallow, Paul Birrell, Joshua Blake, et al.
American Journal of Public Health
|
April 14, 2022
Collaborative Hubs: Making the Most of Predictive Epidemic Modeling
Nicholas G Reich, Justin Lessler, Sebastian Funk, et al.
Epidemics
|
January 7, 2024
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.
Aob PLANTS
|
March 22, 2019
Employing plant functional groups to advance seed dispersal ecology and conservation
Clare Aslan, Noelle G Beckman, Haldre S Rogers, et al.
Medrxiv : the Preprint Server for Health Sciences
|
April 20, 2026
Assessing the Impact of Timing and Coverage of United States COVID-19 Vaccination Campaigns: A Multi-Model Approach
Anjalika Nande, Soren L Larsen, James Turtle, et al.
Aob PLANTS
|
April 30, 2020
Advancing an interdisciplinary framework to study seed dispersal ecology
Noelle G Beckman, Clare E Aslan, Haldre S Rogers, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 10, 2026
Adaptive multi-model ensembles for improved epidemic projections and decision support
Stefania Fiandrino, Daniela Paolotti, Clara Bay, et al.
Page
of 11