A database of geopositioned Middle East Respiratory Syndrome Coronavirus occurrences

被引：12
作者：
Ramshaw, Rebecca E. [1 ]
Letourneau, Ian D. [1 ]
Hong, Amy Y. [2 ]
Hon, Julia [1 ]
Morgan, Julia D. [1 ]
Osborne, Joshua C. P. [1 ]
Shirude, Shreya [1 ]
Van Kerkhove, Maria D. [3 ]
Hay, Simon I. [1 ,4 ]
Pigott, David M. [1 ,4 ]
机构：
[1] Univ Washington, Inst Hlth Metr & Evaluat, 2301 5th Ave,Suite 600, Seattle, WA 98195 USA
[2] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, 615N Wolfe St, Baltimore, MD 21205 USA
[3] World Hlth Org, Hlth Emergencies Programme, Dept Infect Hazards Management, Ave Appia 20, CH-1211 Geneva, Switzerland
[4] Univ Washington, Sch Med, Dept Hlth Metr Sci, 2301 5th Ave,Suite 600, Seattle, WA 98195 USA
来源：
SCIENTIFIC DATA | 2019年 / 6卷 / 1期
基金：
比尔及梅琳达.盖茨基金会;
关键词：
MERS-COV INFECTION; HEALTH-CARE WORKER; ABU-DHABI EMIRATE; SAUDI-ARABIA; DROMEDARY CAMELS; SOUTH-KOREA; HOSPITAL OUTBREAK; RISK-FACTORS; CLINICAL CHARACTERISTICS; PHYLOGENETIC ANALYSIS;
D O I：
10.1038/s41597-019-0330-0
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
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页数：13
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