Seeding COVID-19 across Sub-Saharan Africa: An Analysis of Reported Importation Events across 49 Countries

Author:

Skrip Laura A.1,Selvaraj Prashanth1,Hagedorn Brittany1,Ouédraogo Andre Lin1,Noori Navideh1,Orcutt Amanda1,Mistry Dina1,Bedson Jamie2,Hébert-Dufresne Laurent34,Scarpino Samuel V.56789,Althouse Benjamin M.11011

Affiliation:

1. 1Institute for Disease Modeling, Global Health, Bill & Melinda Gates Foundation, Seattle, Washington;

2. 2Consultant to the Bill & Melinda Gates Foundation, Seattle, Washington;

3. 3Department of Computer Science, Vermont Complex Systems Center, University of Vermont, Burlington, Vermont;

4. 4Department of Computer Science, University of Vermont, Burlington, Vermont;

5. 5Network Science Institute, Northeastern University, Boston, Massachusetts;

6. 6Department of Marine and Environmental Sciences, Northeastern University, Boston, Massachusetts;

7. 7Department of Physics, Northeastern University, Boston, Massachusetts;

8. 8Department of Health Sciences, Northeastern University, Boston, Massachusetts;

9. 9ISI Foundation, Turin, Italy;

10. 10University of Washington, Seattle, Washington;

11. 11New Mexico State University, Las Cruces, New Mexico

Abstract

ABSTRACTThe first case of COVID-19 in sub-Saharan Africa (SSA) was reported by Nigeria on February 27, 2020. Whereas case counts in the entire region remain considerably less than those being reported by individual countries in Europe, Asia, and the Americas, variation in preparedness and response capacity as well as in data availability has raised concerns about undetected transmission events in the SSA region. To capture epidemiological details related to early transmission events into and within countries, a line list was developed from publicly available data on institutional websites, situation reports, press releases, and social media accounts. The availability of indicators—gender, age, travel history, date of arrival in country, reporting date of confirmation, and how detected—for each imported case was assessed. We evaluated the relationship between the time to first reported importation and the Global Health Security Index (GHSI) overall score; 13,201 confirmed cases of COVID-19 were reported by 48 countries in SSA during the 54 days following the first known introduction to the region. Of the 2,516 cases for which travel history information was publicly available, 1,129 (44.9%) were considered importation events. Imported cases tended to be male (65.0%), with a median age of 41.0 years (range: 6 weeks–88 years; IQR: 31–54 years). A country’s time to report its first importation was not related to the GHSI overall score, after controlling for air traffic. Countries in SSA generally reported with less publicly available detail over time and tended to have greater information on imported than local cases.

Publisher

American Society of Tropical Medicine and Hygiene

Subject

Virology,Infectious Diseases,Parasitology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3