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 dictitems:
   cited_by_count: 930944
   created_date: '2024-01-23'
   description: This cluster of papers focuses on mathematical modeling, analysis,
     and forecasting of the transmission dynamics, public health interventions, and
     epidemiological characteristics of the COVID-19 pandemic. It includes studies
     on the impact of various factors such as temperature, humidity, social distancing,
     and travel restrictions on the spread of the virus.
   display_name: Modeling the Dynamics of COVID-19 Pandemic
   domain:
     display_name: Physical Sciences
     id: https://openalex.org/domains/3
   field:
     display_name: Mathematics
     id: https://openalex.org/fields/26
   id: https://openalex.org/T10410
   ids:
     openalex: https://openalex.org/T10410
     wikipedia: https://en.wikipedia.org/wiki/Coronavirus_disease_2019
   keywords:
   - COVID-19
   - modeling
   - transmission dynamics
   - public health interventions
   - epidemiology
   - infectious diseases
   - social distancing
   - mathematical analysis
   - pandemic control
   - viral spread
   siblings:
   - display_name: Anomalous Diffusion Modeling and Analysis
     id: https://openalex.org/T10288
   - display_name: Mathematical Modeling in Interdisciplinary Research
     id: https://openalex.org/T13771
   - display_name: Mathematical Modeling in Various Fields
     id: https://openalex.org/T13806
   - display_name: Mathematical Modeling of Cancer Growth and Treatment
     id: https://openalex.org/T11829
   - display_name: Mathematics Education in Higher Engineering and Science
     id: https://openalex.org/T14079
   subfield:
     display_name: Modeling and Simulation
     id: https://openalex.org/subfields/2611
   updated_date: '2024-05-20T05:20:33.103688'
   works_count: 62374
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