Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26081, first published .
Dynamic Panel Data Modeling and Surveillance of COVID-19 in Metropolitan Areas in the United States: Longitudinal Trend Analysis

Dynamic Panel Data Modeling and Surveillance of COVID-19 in Metropolitan Areas in the United States: Longitudinal Trend Analysis

Dynamic Panel Data Modeling and Surveillance of COVID-19 in Metropolitan Areas in the United States: Longitudinal Trend Analysis

Journals

  1. Welch S, Kulasekere D, Prasad P, Moss C, Murphy R, Achenbach C, Ison M, Resnick D, Singh L, White J, Issa T, Culler K, Boctor M, Mason M, Oehmke J, Faber J, Post L. The Interplay Between Policy and COVID-19 Outbreaks in South Asia: Longitudinal Trend Analysis of Surveillance Data. JMIR Public Health and Surveillance 2021;7(6):e24251 View
  2. Lundberg A, Lorenzo-Redondo R, Ozer E, Hawkins C, Hultquist J, Welch S, Prasad P, Oehmke J, Achenbach C, Murphy R, White J, Havey R, Post L. Has Omicron Changed the Evolution of the Pandemic?. JMIR Public Health and Surveillance 2022;8(1):e35763 View
  3. Oehmke T, Moss C, Oehmke J. COVID-19 Surveillance Updates in US Metropolitan Areas: Dynamic Panel Data Modeling. JMIR Public Health and Surveillance 2022;8(2):e28737 View
  4. Lundberg A, Lorenzo-Redondo R, Hultquist J, Hawkins C, Ozer E, Welch S, Prasad P, Achenbach C, White J, Oehmke J, Murphy R, Havey R, Post L. Overlapping Delta and Omicron Outbreaks During the COVID-19 Pandemic: Dynamic Panel Data Estimates. JMIR Public Health and Surveillance 2022;8(6):e37377 View
  5. Wu D, Hua J, Xu F. pydynpd: A Python package for dynamic panel model. Journal of Open Source Software 2023;8(83):4416 View
  6. Soetikno A, Lundberg A, Ozer E, Wu S, Welch S, Mason M, Liu Y, Havey R, Murphy R, Hawkins C, Moss C, Post L. Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in the Middle East and North Africa: Longitudinal Trend Analysis. JMIR Public Health and Surveillance 2024;10:e53219 View
  7. Lundberg A, Wu S, Soetikno A, Hawkins C, Murphy R, Havey R, Ozer E, Moss C, Welch S, Mason M, Liu Y, Post L. Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Europe: Longitudinal Trend Analysis. JMIR Public Health and Surveillance 2024;10:e53551 View
  8. Post L, Wu S, Soetikno A, Ozer E, Liu Y, Welch S, Hawkins C, Moss C, Murphy R, Mason M, Havey R, Lundberg A. Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Latin America and the Caribbean: Longitudinal Trend Analysis. JMIR Public Health and Surveillance 2024;10:e44398 View
  9. Lundberg A, Ozer E, Wu S, Soetikno A, Welch S, Liu Y, Havey R, Murphy R, Hawkins C, Mason M, Post L. Central Asian Surveillance Metrics and History of the COVID-19 Pandemic: Longitudinal Analyses (Preprint). JMIR Public Health and Surveillance 2023 View
  10. Lundberg A, Soetikno A, Wu S, Ozer E, Welch S, Mason M, Murphy R, Hawkins C, Liu Y, Moss C, Havey R, Achenbach C, Post L. Sub-Saharan Africa Surveillance Metrics and History of the COVID-19 Pandemic: Updated Epidemiological Assessment (Preprint). JMIR Public Health and Surveillance 2023 View
  11. Post L, Soetikno A, Wu S, Hawkins C, Mason M, Ozer E, Murphy R, Welch S, Liu Y, Havey R, Moss C, Achenbach C, Lundberg A. South Asia’s COVID-19 History and Surveillance: Updated Epidemiological Assessment (Preprint). JMIR Public Health and Surveillance 2023 View
  12. Afyouni I, Hashim I, Aghbari Z, Elsaka T, Almahmoud M, Abualigah L. Insights from the COVID-19 Pandemic: A Survey of Data Mining and Beyond. Applied Spatial Analysis and Policy 2024 View