A database of geopositioned Middle East Respiratory Syndrome Coronavirus occurrences
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2019 |
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| Erschienen: |
2019 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:6 |
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| Enthalten in: |
Scientific data - 6(2019), 1 vom: 13. Dez., Seite 318 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Ramshaw, Rebecca E [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 10.09.2020 Date Revised 10.01.2021 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1038/s41597-019-0330-0 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM304378003 |
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| 245 | 1 | 2 | |a A database of geopositioned Middle East Respiratory Syndrome Coronavirus occurrences |
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| 500 | |a published: Electronic | ||
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| 520 | |a 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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| 700 | 1 | |a Letourneau, Ian D |e verfasserin |4 aut | |
| 700 | 1 | |a Hong, Amy Y |e verfasserin |4 aut | |
| 700 | 1 | |a Hon, Julia |e verfasserin |4 aut | |
| 700 | 1 | |a Morgan, Julia D |e verfasserin |4 aut | |
| 700 | 1 | |a Osborne, Joshua C P |e verfasserin |4 aut | |
| 700 | 1 | |a Shirude, Shreya |e verfasserin |4 aut | |
| 700 | 1 | |a Van Kerkhove, Maria D |e verfasserin |4 aut | |
| 700 | 1 | |a Hay, Simon I |e verfasserin |4 aut | |
| 700 | 1 | |a Pigott, David M |e verfasserin |4 aut | |
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