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Estimating internationally imported cases during the early COVID-19 pandemic
Tigist F Menkir1, Taylor Chin1, James A Hay1
1Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Early COVID-19 spread to Africa was underestimated, with cases often originating from non-Wuhan Chinese cities. This research highlights the need for dynamic surveillance of international travel to track disease importation accurately.
Area of Science:
- Epidemiology
- Public Health
- Infectious Disease Modeling
Background:
- Early COVID-19 outbreak predictions relied heavily on cases from Wuhan, potentially overlooking other significant importation sources.
- International travel patterns played a crucial role in the global dissemination of COVID-19 during the initial pandemic phase.
Purpose of the Study:
- To develop and apply a novel method for estimating COVID-19 importations from multiple Chinese cities to international destinations.
- To assess the contribution of various Chinese cities, beyond Wuhan, to early international COVID-19 spread, with a focus on African nations.
Main Methods:
- Integrated daily COVID-19 prevalence data with flight passenger volume data.
- Modeled importations from 18 Chinese cities to 43 global destinations, including 26 African countries.
- Analyzed the temporal shifts in primary source cities for international COVID-19 importations.
Main Results:
- Initial importations in January were mainly from Wuhan, but shifted to other Chinese cities by mid-February, particularly for African destinations.
- An estimated 10.4 (6.2 - 27.1) COVID-19 cases were imported to the studied African destinations, with significant variations in source and magnitude.
- Approximately 90% of estimated imported cases arrived between January 17 and February 7, preceding official case detections in many regions.
Conclusions:
- Source locations for international COVID-19 importations are dynamic and can shift over time.
- Understanding these shifting source dynamics is critical for refining global disease surveillance and response strategies.
- The study underscores the importance of considering diverse origins of imported cases, especially for vulnerable regions like Africa.
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