IPR Seminar Series - Dr. Ayaz Hyder | Institute for Population Research

February 2, 2021

12:30PM - 1:30PM

Virtual Zoom Meeting

Add to Calendar 2021-02-02 13:30:00 2021-02-02 14:30:00 IPR Seminar Series - Dr. Ayaz Hyder Dr. Ayaz Hyder, OSU, Assistant Professor of of Public Health Title: Rapid Planning and Deployment of a COVID-19 Surveillance System for Local Data- Informed Decision-Making: An Academic, School District, and Public Health Collaboration Abstract: Objectives: To describe the rapid planning and deployment of a school- based COVID-19 surveillance system in a metropolitan US county. Materials and methods: We used several data sources to construct disease- and school-based indicators for COVID-19 surveillance in Franklin County, which is an urban county in Central Ohio, US. These data were collected, processed, analyzed, and visualized in the COVID- 19 Analytics and Targeted Surveillance System for Schools (CATS). The CATS system included web-based applications (public and secure versions), automated alerts and weekly reports for diverse sets of stakeholders, such as public, school administrators and boards, and local health departments. Results: We deployed a pilot version of CATS in under two months and onboarded 14 school districts in Central Ohio into CATS. Public-facing web-based applications are providing parents and students with local information for data-informed decision-making. We created an algorithm to enable local health departments to precisely identify school districts and school buildings at high risk of an outbreak and active SARS-CoV-2transmission in school settings. Practice implications: Data-informed decision-making is highly valued among school districts, but challenges remain for public health departments to provide local data, especially during pandemics. Piloting a surveillance system in two diverse school districts helped us to scale the surveillance system. Building on preexisting relationships and alignment of values was critical to the establishment and sustainability of the collaboration. Planning and deploying proactive and innovative public health practices during a global pandemic is no easy task but possible under the right conditions with the right collaborators. A reminder that all participants need to register in order to participate in the fall seminar series. The link to the registration is here: https://osu.zoom.us/meeting/register/tJwqc-6hqj8pHNNLvJoQiEIkYeLs8tuoakuR Virtual Zoom Meeting OSU ASC Drupal 8 ascwebservices@osu.edu America/New_York public

Add to Calendar 2021-02-02 12:30:00 2021-02-02 13:30:00 IPR Seminar Series - Dr. Ayaz Hyder Dr. Ayaz Hyder, OSU, Assistant Professor of of Public Health Title: Rapid Planning and Deployment of a COVID-19 Surveillance System for Local Data- Informed Decision-Making: An Academic, School District, and Public Health Collaboration Abstract: Objectives: To describe the rapid planning and deployment of a school- based COVID-19 surveillance system in a metropolitan US county. Materials and methods: We used several data sources to construct disease- and school-based indicators for COVID-19 surveillance in Franklin County, which is an urban county in Central Ohio, US. These data were collected, processed, analyzed, and visualized in the COVID- 19 Analytics and Targeted Surveillance System for Schools (CATS). The CATS system included web-based applications (public and secure versions), automated alerts and weekly reports for diverse sets of stakeholders, such as public, school administrators and boards, and local health departments. Results: We deployed a pilot version of CATS in under two months and onboarded 14 school districts in Central Ohio into CATS. Public-facing web-based applications are providing parents and students with local information for data-informed decision-making. We created an algorithm to enable local health departments to precisely identify school districts and school buildings at high risk of an outbreak and active SARS-CoV-2transmission in school settings.   Practice implications: Data-informed decision-making is highly valued among school districts, but challenges remain for public health departments to provide local data, especially during pandemics. Piloting a surveillance system in two diverse school districts helped us to scale the surveillance system. Building on preexisting relationships and alignment of values was critical to the establishment and sustainability of the collaboration. Planning and deploying proactive and innovative public health practices during a global pandemic is no easy task but possible under the right conditions with the right collaborators. A reminder that all participants need to register in order to participate in the fall seminar series. The link to the registration is here: https://osu.zoom.us/meeting/register/tJwqc-6hqj8pHNNLvJoQiEIkYeLs8tuoakuR  Virtual Zoom Meeting Institute for Population Research popcenter@osu.edu America/New_York public

Dr. Ayaz Hyder, OSU, Assistant Professor of of Public Health

Title: Rapid Planning and Deployment of a COVID-19 Surveillance System for Local Data- Informed Decision-Making: An Academic, School District, and Public Health Collaboration

Abstract:

Objectives: To describe the rapid planning and deployment of a school- based COVID-19 surveillance system in a metropolitan US county.

Materials and methods: We used several data sources to construct disease- and school-based indicators for COVID-19 surveillance in Franklin County, which is an urban county in Central Ohio, US. These data were collected, processed, analyzed, and visualized in the COVID- 19 Analytics and Targeted Surveillance System for Schools (CATS). The CATS system included web-based applications (public and secure versions), automated alerts and weekly reports for diverse sets of stakeholders, such as public, school administrators and boards, and local health departments.

Results: We deployed a pilot version of CATS in under two months and onboarded 14 school districts in Central Ohio into CATS. Public-facing web-based applications are providing parents and students with local information for data-informed decision-making. We created an algorithm to enable local health departments to precisely identify school districts and school buildings at high risk of an outbreak and active SARS-CoV-2transmission in school settings.

Practice implications: Data-informed decision-making is highly valued among school districts, but challenges remain for public health departments to provide local data, especially during pandemics. Piloting a surveillance system in two diverse school districts helped us to scale the surveillance system. Building on preexisting relationships and alignment of values was critical to the establishment and sustainability of the collaboration. Planning and deploying proactive and innovative public health practices during a global pandemic is no easy task but possible under the right conditions with the right collaborators.

A reminder that all participants need to register in order to participate in the fall seminar series. The link to the registration is here: https://osu.zoom.us/meeting/register/tJwqc-6hqj8pHNNLvJoQiEIkYeLs8tuoakuR