Cargando…
How many human pathogens are there in Laos? An estimate of national human pathogen diversity and analysis of historical trends
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 P...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584012/ https://www.ncbi.nlm.nih.gov/pubmed/33093128 http://dx.doi.org/10.1136/bmjgh-2020-002972 |
_version_ | 1783599510955491328 |
---|---|
author | Clarkson, Madeleine Claire Aguas, Ricardo Sweet, Kathryn Roberts, Tamalee Strobel, Michel Newton, Paul N |
author_facet | Clarkson, Madeleine Claire Aguas, Ricardo Sweet, Kathryn Roberts, Tamalee Strobel, Michel Newton, Paul N |
author_sort | Clarkson, Madeleine Claire |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-7584012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-75840122020-10-28 How many human pathogens are there in Laos? An estimate of national human pathogen diversity and analysis of historical trends Clarkson, Madeleine Claire Aguas, Ricardo Sweet, Kathryn Roberts, Tamalee Strobel, Michel Newton, Paul N BMJ Glob Health Original Research 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). BMJ Publishing Group 2020-10-22 /pmc/articles/PMC7584012/ /pubmed/33093128 http://dx.doi.org/10.1136/bmjgh-2020-002972 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Research Clarkson, Madeleine Claire Aguas, Ricardo Sweet, Kathryn Roberts, Tamalee Strobel, Michel Newton, Paul N How many human pathogens are there in Laos? An estimate of national human pathogen diversity and analysis of historical trends |
title | How many human pathogens are there in Laos? An estimate of national human pathogen diversity and analysis of historical trends |
title_full | How many human pathogens are there in Laos? An estimate of national human pathogen diversity and analysis of historical trends |
title_fullStr | How many human pathogens are there in Laos? An estimate of national human pathogen diversity and analysis of historical trends |
title_full_unstemmed | How many human pathogens are there in Laos? An estimate of national human pathogen diversity and analysis of historical trends |
title_short | How many human pathogens are there in Laos? An estimate of national human pathogen diversity and analysis of historical trends |
title_sort | how many human pathogens are there in laos? an estimate of national human pathogen diversity and analysis of historical trends |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584012/ https://www.ncbi.nlm.nih.gov/pubmed/33093128 http://dx.doi.org/10.1136/bmjgh-2020-002972 |
work_keys_str_mv | AT clarksonmadeleineclaire howmanyhumanpathogensarethereinlaosanestimateofnationalhumanpathogendiversityandanalysisofhistoricaltrends AT aguasricardo howmanyhumanpathogensarethereinlaosanestimateofnationalhumanpathogendiversityandanalysisofhistoricaltrends AT sweetkathryn howmanyhumanpathogensarethereinlaosanestimateofnationalhumanpathogendiversityandanalysisofhistoricaltrends AT robertstamalee howmanyhumanpathogensarethereinlaosanestimateofnationalhumanpathogendiversityandanalysisofhistoricaltrends AT strobelmichel howmanyhumanpathogensarethereinlaosanestimateofnationalhumanpathogendiversityandanalysisofhistoricaltrends AT newtonpauln howmanyhumanpathogensarethereinlaosanestimateofnationalhumanpathogendiversityandanalysisofhistoricaltrends |