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An inaugural forum on epidemiological modeling for public health stakeholders in Arizona.
Mihaljevic, Joseph R; Chief, Carmenlita; Malik, Mehreen; Oshinubi, Kayode; Doerry, Eck; Gel, Esma; Hepp, Crystal; Lant, Tim; Mehrotra, Sanjay; Sabo, Samantha.
Afiliación
  • Mihaljevic JR; School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States.
  • Chief C; Center for Health Equity Research, College of Health and Human Services, Northern Arizona University, Flagstaff, AZ, United States.
  • Malik M; Interdisciplinary Health Program, College of Health and Human Services, Northern Arizona University, Flagstaff, AZ, United States.
  • Oshinubi K; School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States.
  • Doerry E; School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States.
  • Gel E; Department of Supply Chain Management and Analytics, University of Nebraska-Lincoln, Lincoln, NE, United States.
  • Hepp C; School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States.
  • Lant T; Pathogen and Microbiome Division, Translational Genomics Research Institute, Flagstaff, AZ, United States.
  • Mehrotra S; Office of the Vice President for Research, Knowledge Enterprise, Arizona State University, Tempe, AZ, United States.
  • Sabo S; Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL, United States.
Front Public Health ; 12: 1357908, 2024.
Article en En | MEDLINE | ID: mdl-38883190
ABSTRACT
Epidemiological models-which help us understand and forecast the spread of infectious disease-can be valuable tools for public health. However, barriers exist that can make it difficult to employ epidemiological models routinely within the repertoire of public health planning. These barriers include technical challenges associated with constructing the models, challenges in obtaining appropriate data for model parameterization, and problems with clear communication of modeling outputs and uncertainty. To learn about the unique barriers and opportunities within the state of Arizona, we gathered a diverse set of 48 public health stakeholders for a day-and-a-half forum. Our research group was motivated specifically by our work building software for public health-relevant modeling and by our earnest desire to collaborate closely with stakeholders to ensure that our software tools are practical and useful in the face of evolving public health needs. Here we outline the planning and structure of the forum, and we highlight as a case study some of the lessons learned from breakout discussions. While unique barriers exist for implementing modeling for public health, there is also keen interest in doing so across diverse sectors of State and Local government, although issues of equal and fair access to modeling knowledge and technologies remain key issues for future development. We found this forum to be useful for building relationships and informing our software development, and we plan to continue such meetings annually to create a continual feedback loop between academic molders and public health practitioners.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Salud Pública Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Front Public Health Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Salud Pública Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Front Public Health Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza