Abstract:
:As a World Health Organization Research and Development Blueprint priority pathogen, there is a need to better understand the geographic distribution of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) and its potential to infect mammals and humans. This database documents cases of MERS-CoV globally, with specific attention paid to zoonotic transmission. An initial literature search was conducted in PubMed, Web of Science, and Scopus; after screening articles according to the inclusion/exclusion criteria, a total of 208 sources were selected for extraction and geo-positioning. Each MERS-CoV occurrence was assigned one of the following classifications based upon published contextual information: index, unspecified, secondary, mammal, environmental, or imported. In total, this database is comprised of 861 unique geo-positioned MERS-CoV occurrences. The purpose of this article is to share a collated MERS-CoV database and extraction protocol that can be utilized in future mapping efforts for both MERS-CoV and other infectious diseases. More broadly, it may also provide useful data for the development of targeted MERS-CoV surveillance, which would prove invaluable in preventing future zoonotic spillover.
journal_name
Sci Datajournal_title
Scientific dataauthors
Ramshaw RE,Letourneau ID,Hong AY,Hon J,Morgan JD,Osborne JCP,Shirude S,Van Kerkhove MD,Hay SI,Pigott DMdoi
10.1038/s41597-019-0330-0subject
Has Abstractpub_date
2019-12-13 00:00:00pages
318issue
1issn
2052-4463pii
10.1038/s41597-019-0330-0journal_volume
6pub_type
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