Building Capacity for COVID-19 Surveillance: A Statistics Course for Health Officials in Seven Low- and Middle-Income Countries
AbstractDuring the COVID-19 pandemic, a group of health program implementors and research analysts across seven low- and middle-income countries (LMICs) alongside Boston-based collaborators convened to implement data-driven approaches for public health response. An intensive statistics and data scie...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-03-01
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| Series: | Journal of Statistics and Data Science Education |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/26939169.2024.2315936 |
| _version_ | 1797228660236746752 |
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| author | Isabel R. Fulcher Donald Fejfar Nichole Kulikowski Jean-Claude Mugunga Michael Law Bethany Hedt-Gauthier |
| author_facet | Isabel R. Fulcher Donald Fejfar Nichole Kulikowski Jean-Claude Mugunga Michael Law Bethany Hedt-Gauthier |
| author_sort | Isabel R. Fulcher |
| collection | DOAJ |
| description | AbstractDuring the COVID-19 pandemic, a group of health program implementors and research analysts across seven low- and middle-income countries (LMICs) alongside Boston-based collaborators convened to implement data-driven approaches for public health response. An intensive statistics and data science training short course was developed to ensure that in-country researchers could implement the necessary statistical methods for COVID-19 surveillance. The main goal of the course was to enable interpretation of findings from time series analyses and flag potential data issues. This manuscript summarizes our experience teaching this course, including a detailed course overview, participant feedback, and thoughts on how targeted, online courses can be used to support statistical capacity building in LMICs. |
| first_indexed | 2024-04-24T15:00:13Z |
| format | Article |
| id | doaj.art-c73f0c5129634f86b44d8e91567b1168 |
| institution | Directory Open Access Journal |
| issn | 2693-9169 |
| language | English |
| last_indexed | 2024-04-24T15:00:13Z |
| publishDate | 2024-03-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Statistics and Data Science Education |
| spelling | doaj.art-c73f0c5129634f86b44d8e91567b11682024-04-02T15:49:16ZengTaylor & Francis GroupJournal of Statistics and Data Science Education2693-91692024-03-0111210.1080/26939169.2024.2315936Building Capacity for COVID-19 Surveillance: A Statistics Course for Health Officials in Seven Low- and Middle-Income CountriesIsabel R. Fulcher0Donald Fejfar1Nichole Kulikowski2Jean-Claude Mugunga3Michael Law4Bethany Hedt-Gauthier5Department of Global Health and Social Medicine, Harvard Medical School, Boston, MAPartners In Health, Boston, MADepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MAPartners In Health, Boston, MACentre for Health Services and Policy Research, University of British Columbia, Vancouver, BCDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MAAbstractDuring the COVID-19 pandemic, a group of health program implementors and research analysts across seven low- and middle-income countries (LMICs) alongside Boston-based collaborators convened to implement data-driven approaches for public health response. An intensive statistics and data science training short course was developed to ensure that in-country researchers could implement the necessary statistical methods for COVID-19 surveillance. The main goal of the course was to enable interpretation of findings from time series analyses and flag potential data issues. This manuscript summarizes our experience teaching this course, including a detailed course overview, participant feedback, and thoughts on how targeted, online courses can be used to support statistical capacity building in LMICs.https://www.tandfonline.com/doi/10.1080/26939169.2024.2315936Capacity buildingCOVID-19SurveillanceTime series modeling |
| spellingShingle | Isabel R. Fulcher Donald Fejfar Nichole Kulikowski Jean-Claude Mugunga Michael Law Bethany Hedt-Gauthier Building Capacity for COVID-19 Surveillance: A Statistics Course for Health Officials in Seven Low- and Middle-Income Countries Journal of Statistics and Data Science Education Capacity building COVID-19 Surveillance Time series modeling |
| title | Building Capacity for COVID-19 Surveillance: A Statistics Course for Health Officials in Seven Low- and Middle-Income Countries |
| title_full | Building Capacity for COVID-19 Surveillance: A Statistics Course for Health Officials in Seven Low- and Middle-Income Countries |
| title_fullStr | Building Capacity for COVID-19 Surveillance: A Statistics Course for Health Officials in Seven Low- and Middle-Income Countries |
| title_full_unstemmed | Building Capacity for COVID-19 Surveillance: A Statistics Course for Health Officials in Seven Low- and Middle-Income Countries |
| title_short | Building Capacity for COVID-19 Surveillance: A Statistics Course for Health Officials in Seven Low- and Middle-Income Countries |
| title_sort | building capacity for covid 19 surveillance a statistics course for health officials in seven low and middle income countries |
| topic | Capacity building COVID-19 Surveillance Time series modeling |
| url | https://www.tandfonline.com/doi/10.1080/26939169.2024.2315936 |
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