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Sci Data. 2015 Sep 15;2:150049. doi: 10.1038/sdata.2015.49. eCollection 2015.

Database of host-pathogen and related species interactions, and their global distribution.

Scientific data

Maya Wardeh, Claire Risley, Marie Kirsty McIntyre, Christian Setzkorn, Matthew Baylis

Affiliations

  1. Department of Epidemiology and Population Health, Institute of Infection and Global Health, University of Liverpool , Leahurst Campus, Chester High Road, Neston, Cheshire CH64 7TE, UK.
  2. Department of Epidemiology and Population Health, Institute of Infection and Global Health, University of Liverpool , Leahurst Campus, Chester High Road, Neston, Cheshire CH64 7TE, UK ; Institute of Biological and Environmental and Rural Sciences, Aberystwyth University , Penglais Campus, Aberystwyth SY23 3DA, UK.
  3. Department of Epidemiology and Population Health, Institute of Infection and Global Health, University of Liverpool , Leahurst Campus, Chester High Road, Neston, Cheshire CH64 7TE, UK ; Health Protection Research Unit for Emerging and Zoonotic Infections, University of Liverpool , Leahurst Campus, Chester High Road, Neston, Cheshire CH64 7TE, UK.

PMID: 26401317 PMCID: PMC4570150 DOI: 10.1038/sdata.2015.49

Abstract

Interactions between species, particularly where one is likely to be a pathogen of the other, as well as the geographical distribution of species, have been systematically extracted from various web-based, free-access sources, and assembled with the accompanying evidence into a single database. The database attempts to answer questions such as what are all the pathogens of a host, and what are all the hosts of a pathogen, what are all the countries where a pathogen was found, and what are all the pathogens found in a country. Two datasets were extracted from the database, focussing on species interactions and species distribution, based on evidence published between 1950-2012. The quality of their evidence was checked and verified against well-known, alternative, datasets of pathogens infecting humans, domestic animals and wild mammals. The presented datasets provide a valuable resource for researchers of infectious diseases of humans and animals, including zoonoses.

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