Published on in Vol 22, No 3 (2020): March
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/13680, first published
.

Journals
- Shen C, Chen A, Luo C, Zhang J, Feng B, Liao W. Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study. Journal of Medical Internet Research 2020;22(5):e19421 View
- Moon H, Lee G. Evaluation of Korean-Language COVID-19–Related Medical Information on YouTube: Cross-Sectional Infodemiology Study. Journal of Medical Internet Research 2020;22(8):e20775 View
- Eysenbach G. How to Fight an Infodemic: The Four Pillars of Infodemic Management. Journal of Medical Internet Research 2020;22(6):e21820 View
- Gong X, Han Y, Hou M, Guo R. Online Public Attention during the Early Days of the COVID-19 Pandemic: Infoveillance Study Based on Baidu Index (Preprint). JMIR Public Health and Surveillance 2020 View
- Oehmke J, Oehmke T, Singh L, Post L. Dynamic Panel Estimate–Based Health Surveillance of SARS-CoV-2 Infection Rates to Inform Public Health Policy: Model Development and Validation. Journal of Medical Internet Research 2020;22(9):e20924 View
- Kawchuk G, Hartvigsen J, Innes S, Simpson J, Gushaty B. The use of internet analytics by a Canadian provincial chiropractic regulator to monitor, evaluate and remediate misleading claims regarding specific health conditions, pregnancy, and COVID-19. Chiropractic & Manual Therapies 2020;28(1) View
- Higgins T, Wu A, Sharma D, Illing E, Rubel K, Ting J. Correlations of Online Search Engine Trends With Coronavirus Disease (COVID-19) Incidence: Infodemiology Study. JMIR Public Health and Surveillance 2020;6(2):e19702 View
- Jo W, Lee J, Park J, Kim Y. Online Information Exchange and Anxiety Spread in the Early Stage of the Novel Coronavirus (COVID-19) Outbreak in South Korea: Structural Topic Model and Network Analysis. Journal of Medical Internet Research 2020;22(6):e19455 View
- González-Alcaide G, Llorente P, Ramos-Rincón J. Systematic analysis of the scientific literature on population surveillance. Heliyon 2020:e05141 View