Frontiers in Public Health (Dec 2020)

Demographic and Clinical Characteristics of Early Travel-Associated COVID-19 Cases

  • Reham M. Marei,
  • Mohamed M. Emara,
  • Omar M. Elsaied,
  • Gheyath K. Nasrallah,
  • Gheyath K. Nasrallah,
  • Tawanda Chivese,
  • Hamad E. Al-Romaihi,
  • Mohamed H. Althani,
  • Asmaa A. Al Thani,
  • Asmaa A. Al Thani,
  • Elmoubasher A. Farag,
  • Hadi M. Yassine,
  • Hadi M. Yassine

DOI
https://doi.org/10.3389/fpubh.2020.573925
Journal volume & issue
Vol. 8

Abstract

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Background: SARS-CoV-2 continues to claim hundreds of thousands of people's lives. It mostly affects the elderly and those with chronic illness but can also be fatal in younger age groups. This article is the first comprehensive analysis of the epidemiological and clinical outcomes of the travel-associated SARS-CoV-2 cases until April 19, 2020.Methods: Demographic and clinical data of travel-associated SARS-CoV-2 cases were collected for the period between January 16, 2020 and April 19, 2020. More than one hundred and eighty databases were searched, including the World Health Organization (WHO) database, countries' ministries websites, and official media sites. Demographic and clinical data were extracted and analyzed.Results: A total of 1,186 cases from 144 countries meeting the inclusion criteria were reported and included in the analysis. The mean age of the cases was 44 years, with a male to female ratio of 1.6:1. Travel-associated cases originated from more than 40 countries, with China, Italy, and Iran reporting the highest numbers at 208, 225, and 155, respectively. Clinical symptoms varied between patients, with some reporting symptoms during the flights (117 cases; 9.87%). A total of 312 (26.31%) cases were hospitalized, of which 50 cases (4.22%) were fatal.Conclusion: Major gaps exist in the epidemiology and clinical spectrum of the COVID-19 travel-associated cases due to a lack of reporting and sharing data of many counties. The identification and implementation of methodologies for measuring traveler's risk to coronavirus would help in minimizing the spread of the virus, especially in the next waves.

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