Data generation and modeling during COVID-19: utility, barriers, and priorities for future investments in public health response.
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| Title: | Data generation and modeling during COVID-19: utility, barriers, and priorities for future investments in public health response. |
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| Authors: | Nixon K; Department of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, United States., Truelove S; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States., Gardner L; Department of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, United States.; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States. |
| Source: | Frontiers in public health [Front Public Health] 2026 Feb 23; Vol. 14, pp. 1718094. Date of Electronic Publication: 2026 Feb 23 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-2565 |
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| DOI: | 10.3389/fpubh.2026.1718094 |
