Simple jQuery Dropdowns
Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/60040
Title: How many human pathogens are there in Laos? An estimate of national human pathogen diversity and analysis of historical trends
Authors: Madeleine Claire Clarkson
Ricardo Aguas
Kathryn Sweet
Tamalee Roberts
Michel Strobel
Paul N. Newton
London School of Hygiene & Tropical Medicine
Mahosot Hospital, Lao
Mahidol University
Nuffield Department of Medicine
Independent researcher
Independent Researcher
Keywords: Medicine
Issue Date: 22-Oct-2020
Citation: BMJ Global Health. Vol.5, No.10 (2020)
Abstract: © Objective The emergence of infectious diseases pose major global health threats. Estimates of total in-country human pathogen diversity, and insights as to how and when species were described through history, could be used to estimate the probability of new pathogen discoveries. Data from the Lao People's Democratic Republic (Laos) were used in this proof-of-concept study to estimate national human pathogen diversity and to examine historical discovery rate drivers. Methods A systematic survey of the French and English scientific and grey literature of pathogen description in Laos between 1874 and 2017 was conducted. The first descriptions of each known human pathogen in Laos were coded according to the diagnostic evidence available. Cumulative frequency of discovery across time informed the rate of discovery. Four distinct periods of health systems development in Laos were identified prospectively and juxtaposed to the unmodelled rate of discovery. A model with a time-varying rate of discovery was fitted to these data using a Markov-Chain- Monte-Carlo technique. Results From 6456 pathogen descriptions, 245 discoveries of known human pathogens in Laos, including repeat discoveries using different grades of evidence, were identified. The models estimate that the Laos human pathogen species diversity in 2017 is between 169 and 206. During the last decade, there has been a 33-fold increase in the discovery rate coinciding with the strengthening of medical research and microbiology. Conclusion Discovery curves can be used to model and estimate country-level human pathogen diversity present in a territory. Combining this with historical assessment improves the understanding of the factors affecting local pathogen discovery. PROSPERO registration number A protocol of this work was registered on PROSPERO (ID:CRD42016046728).
URI: http://repository.li.mahidol.ac.th/dspace/handle/123456789/60040
metadata.dc.identifier.url: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85095704270&origin=inward
ISSN: 20597908
Appears in Collections:Scopus 2020

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.