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Citing this Article

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Published on 21.05.20 in Vol 6, No 2 (2020): Apr-Jun

This paper is in the following e-collection/theme issue:

Works citing "Correlations of Online Search Engine Trends With Coronavirus Disease (COVID-19) Incidence: Infodemiology Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/19702):

(note that this is only a small subset of citations)

  1. Qu H, Cheng ZJ, Duan Z, Tian L, Hakonarson H. The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples. Journal of Medical Internet Research 2020;22(8):e20914
  2. Rajan A, Sharaf R, Brown RS, Sharaiha RZ, Lebwohl B, Mahadev S. Association of Search Query Interest in Gastrointestinal Symptoms With COVID-19 Diagnosis in the United States: Infodemiology Study. JMIR Public Health and Surveillance 2020;6(3):e19354
  3. 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;
  4. Senecal C, Gulati R, Lerman A. Google Trends Insights Into Reduced Acute Coronary Syndrome Admissions During the COVID-19 Pandemic: Infodemiology Study. JMIR Cardio 2020;4(1):e20426
  5. Arshad Ali S, Bin Arif T, Maab H, Baloch M, Manazir S, Jawed F, Ochani RK. Global Interest in Telehealth During COVID-19 Pandemic: An Analysis of Google Trends™. Cureus 2020;
  6. Paguio JA, Yao JS, Dee EC. Silver lining of COVID-19: Heightened global interest in pneumococcal and influenza vaccines, an infodemiology study. Vaccine 2020;38(34):5430
  7. Dai Y, Wang J, Samy AM. Identifying the outbreak signal of COVID-19 before the response of the traditional disease monitoring system. PLOS Neglected Tropical Diseases 2020;14(10):e0008758