Using modelling to disentangle the relative contributions of zoonotic and anthroponotic transmission: the case of lassa fever
Zoonotic infections, which transmit from animals to humans, form the majority of new human pathogens. Following zoonotic transmission, the pathogen may already have, or may acquire, the ability to transmit from human to human. With infections such as Lassa fever (LF), an often fatal, rodent-borne, h...
Gespeichert in:
Veröffentlicht in: | PLoS neglected tropical diseases 2015-01, Vol.9 (1), p.e3398-e3398 |
---|---|
Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e3398 |
---|---|
container_issue | 1 |
container_start_page | e3398 |
container_title | PLoS neglected tropical diseases |
container_volume | 9 |
creator | Lo Iacono, Giovanni Cunningham, Andrew A Fichet-Calvet, Elisabeth Garry, Robert F Grant, Donald S Khan, Sheik Humarr Leach, Melissa Moses, Lina M Schieffelin, John S Shaffer, Jeffrey G Webb, Colleen T Wood, James L N |
description | Zoonotic infections, which transmit from animals to humans, form the majority of new human pathogens. Following zoonotic transmission, the pathogen may already have, or may acquire, the ability to transmit from human to human. With infections such as Lassa fever (LF), an often fatal, rodent-borne, hemorrhagic fever common in areas of West Africa, rodent-to-rodent, rodent-to-human, human-to-human and even human-to-rodent transmission patterns are possible. Indeed, large hospital-related outbreaks have been reported. Estimating the proportion of transmission due to human-to-human routes and related patterns (e.g. existence of super-spreaders), in these scenarios is challenging, but essential for planned interventions.
Here, we make use of an innovative modeling approach to analyze data from published outbreaks and the number of LF hospitalized patients to Kenema Government Hospital in Sierra Leone to estimate the likely contribution of human-to-human transmission. The analyses show that almost [Formula: see text] of the cases at KGH are secondary cases arising from human-to-human transmission. However, we found much of this transmission is associated with a disproportionally large impact of a few individuals ('super-spreaders'), as we found only [Formula: see text] of human cases result in an effective reproduction number (i.e. the average number of secondary cases per infectious case) [Formula: see text], with a maximum value up to [Formula: see text].
This work explains the discrepancy between the sizes of reported LF outbreaks and a clinical perception that human-to-human transmission is low. Future assessment of risks of LF and infection control guidelines should take into account the potentially large impact of super-spreaders in human-to-human transmission. Our work highlights several neglected topics in LF research, the occurrence and nature of super-spreading events and aspects of social behavior in transmission and detection. |
doi_str_mv | 10.1371/journal.pntd.0003398 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1685624070</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A419150128</galeid><doaj_id>oai_doaj_org_article_2e1a1982c29e4a95a54b461e88541f3b</doaj_id><sourcerecordid>A419150128</sourcerecordid><originalsourceid>FETCH-LOGICAL-c596t-f69d575c9b2c4965372349afffec0558520cc56f90b8fb7cd4368dffb0cf597e3</originalsourceid><addsrcrecordid>eNptkl9rFDEUxQdRbK1-A9EBQXzZNckkk8QHoRT_FAq-2OeQydzsZskma5ItKPjdzXSnZRdkGCbc-Z2T5NzbNK8xWuKO44-buE9B--UulHGJEOo6KZ4051h2bEF4x54erc-aFzlvEGKSCfy8OSOM9ZIjft78vc0urNptHMH7aVViO7oMoeiw8tCWNbQJvC7uDloTQ0lu2BcXQ26jbf_EGGJxptVhrG9Zp7ibKyXpkLcu58p-urcxOsMk8jpn3Vq4g_SyeWa1z_Bq_l40t1-__Lz6vrj58e366vJmYZjsy8L2cmScGTkQQ2XPOk46KrW1FgxiTDCCjGG9lWgQduBmpF0vRmsHZCyTHLqL5u3Bd-djVnNyWeFesJ5QxFElrg_EGPVG7ZLb6vRbRe3UfSGmldKp3suDIoA1loIYIoFqyTSjA-0xCMEott1QvT7Pu-2HLYymhpm0PzE9_RPcWq3inaJECN6RavBhNkjx1x5yUTVIUxukA8T9dG7KOOcEyYq-O6ArXY_mgo3V0Uy4uqRYYoYwEZVa_oeqzwhbV7sK1tX6ieD9kWAN2pd1jv7Q-VOQHkCTYs4J7OM1MVLTnD6kraY5VfOcVtmb44geRQ-D2f0DA-rn5Q</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1645777209</pqid></control><display><type>article</type><title>Using modelling to disentangle the relative contributions of zoonotic and anthroponotic transmission: the case of lassa fever</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>PubMed Central Open Access</source><source>Public Library of Science (PLoS)</source><creator>Lo Iacono, Giovanni ; Cunningham, Andrew A ; Fichet-Calvet, Elisabeth ; Garry, Robert F ; Grant, Donald S ; Khan, Sheik Humarr ; Leach, Melissa ; Moses, Lina M ; Schieffelin, John S ; Shaffer, Jeffrey G ; Webb, Colleen T ; Wood, James L N</creator><creatorcontrib>Lo Iacono, Giovanni ; Cunningham, Andrew A ; Fichet-Calvet, Elisabeth ; Garry, Robert F ; Grant, Donald S ; Khan, Sheik Humarr ; Leach, Melissa ; Moses, Lina M ; Schieffelin, John S ; Shaffer, Jeffrey G ; Webb, Colleen T ; Wood, James L N</creatorcontrib><description>Zoonotic infections, which transmit from animals to humans, form the majority of new human pathogens. Following zoonotic transmission, the pathogen may already have, or may acquire, the ability to transmit from human to human. With infections such as Lassa fever (LF), an often fatal, rodent-borne, hemorrhagic fever common in areas of West Africa, rodent-to-rodent, rodent-to-human, human-to-human and even human-to-rodent transmission patterns are possible. Indeed, large hospital-related outbreaks have been reported. Estimating the proportion of transmission due to human-to-human routes and related patterns (e.g. existence of super-spreaders), in these scenarios is challenging, but essential for planned interventions.
Here, we make use of an innovative modeling approach to analyze data from published outbreaks and the number of LF hospitalized patients to Kenema Government Hospital in Sierra Leone to estimate the likely contribution of human-to-human transmission. The analyses show that almost [Formula: see text] of the cases at KGH are secondary cases arising from human-to-human transmission. However, we found much of this transmission is associated with a disproportionally large impact of a few individuals ('super-spreaders'), as we found only [Formula: see text] of human cases result in an effective reproduction number (i.e. the average number of secondary cases per infectious case) [Formula: see text], with a maximum value up to [Formula: see text].
This work explains the discrepancy between the sizes of reported LF outbreaks and a clinical perception that human-to-human transmission is low. Future assessment of risks of LF and infection control guidelines should take into account the potentially large impact of super-spreaders in human-to-human transmission. Our work highlights several neglected topics in LF research, the occurrence and nature of super-spreading events and aspects of social behavior in transmission and detection.</description><identifier>ISSN: 1935-2735</identifier><identifier>ISSN: 1935-2727</identifier><identifier>EISSN: 1935-2735</identifier><identifier>DOI: 10.1371/journal.pntd.0003398</identifier><identifier>PMID: 25569707</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Animals ; Biology and Life Sciences ; Cross Infection - transmission ; Deaths ; Disease transmission ; Distribution ; Epidemics ; Fever ; Hospitals ; Humans ; Infections ; Lassa fever ; Lassa Fever - epidemiology ; Lassa Fever - transmission ; Medicine and Health Sciences ; Models, Biological ; Research and Analysis Methods ; Sierra Leone - epidemiology ; Zoonoses</subject><ispartof>PLoS neglected tropical diseases, 2015-01, Vol.9 (1), p.e3398-e3398</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Lo Iacono et al 2015 Lo Iacono et al</rights><rights>2015 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Lo Iacono G, Cunningham AA, Fichet-Calvet E, Garry RF, Grant DS, Khan SH, et al. (2015) Using Modelling to Disentangle the Relative Contributions of Zoonotic and Anthroponotic Transmission: The Case of Lassa Fever. PLoS Negl Trop Dis 9(1): e3398. doi:10.1371/journal.pntd.0003398</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c596t-f69d575c9b2c4965372349afffec0558520cc56f90b8fb7cd4368dffb0cf597e3</citedby><cites>FETCH-LOGICAL-c596t-f69d575c9b2c4965372349afffec0558520cc56f90b8fb7cd4368dffb0cf597e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288732/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288732/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25569707$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lo Iacono, Giovanni</creatorcontrib><creatorcontrib>Cunningham, Andrew A</creatorcontrib><creatorcontrib>Fichet-Calvet, Elisabeth</creatorcontrib><creatorcontrib>Garry, Robert F</creatorcontrib><creatorcontrib>Grant, Donald S</creatorcontrib><creatorcontrib>Khan, Sheik Humarr</creatorcontrib><creatorcontrib>Leach, Melissa</creatorcontrib><creatorcontrib>Moses, Lina M</creatorcontrib><creatorcontrib>Schieffelin, John S</creatorcontrib><creatorcontrib>Shaffer, Jeffrey G</creatorcontrib><creatorcontrib>Webb, Colleen T</creatorcontrib><creatorcontrib>Wood, James L N</creatorcontrib><title>Using modelling to disentangle the relative contributions of zoonotic and anthroponotic transmission: the case of lassa fever</title><title>PLoS neglected tropical diseases</title><addtitle>PLoS Negl Trop Dis</addtitle><description>Zoonotic infections, which transmit from animals to humans, form the majority of new human pathogens. Following zoonotic transmission, the pathogen may already have, or may acquire, the ability to transmit from human to human. With infections such as Lassa fever (LF), an often fatal, rodent-borne, hemorrhagic fever common in areas of West Africa, rodent-to-rodent, rodent-to-human, human-to-human and even human-to-rodent transmission patterns are possible. Indeed, large hospital-related outbreaks have been reported. Estimating the proportion of transmission due to human-to-human routes and related patterns (e.g. existence of super-spreaders), in these scenarios is challenging, but essential for planned interventions.
Here, we make use of an innovative modeling approach to analyze data from published outbreaks and the number of LF hospitalized patients to Kenema Government Hospital in Sierra Leone to estimate the likely contribution of human-to-human transmission. The analyses show that almost [Formula: see text] of the cases at KGH are secondary cases arising from human-to-human transmission. However, we found much of this transmission is associated with a disproportionally large impact of a few individuals ('super-spreaders'), as we found only [Formula: see text] of human cases result in an effective reproduction number (i.e. the average number of secondary cases per infectious case) [Formula: see text], with a maximum value up to [Formula: see text].
This work explains the discrepancy between the sizes of reported LF outbreaks and a clinical perception that human-to-human transmission is low. Future assessment of risks of LF and infection control guidelines should take into account the potentially large impact of super-spreaders in human-to-human transmission. Our work highlights several neglected topics in LF research, the occurrence and nature of super-spreading events and aspects of social behavior in transmission and detection.</description><subject>Analysis</subject><subject>Animals</subject><subject>Biology and Life Sciences</subject><subject>Cross Infection - transmission</subject><subject>Deaths</subject><subject>Disease transmission</subject><subject>Distribution</subject><subject>Epidemics</subject><subject>Fever</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Infections</subject><subject>Lassa fever</subject><subject>Lassa Fever - epidemiology</subject><subject>Lassa Fever - transmission</subject><subject>Medicine and Health Sciences</subject><subject>Models, Biological</subject><subject>Research and Analysis Methods</subject><subject>Sierra Leone - epidemiology</subject><subject>Zoonoses</subject><issn>1935-2735</issn><issn>1935-2727</issn><issn>1935-2735</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>DOA</sourceid><recordid>eNptkl9rFDEUxQdRbK1-A9EBQXzZNckkk8QHoRT_FAq-2OeQydzsZskma5ItKPjdzXSnZRdkGCbc-Z2T5NzbNK8xWuKO44-buE9B--UulHGJEOo6KZ4051h2bEF4x54erc-aFzlvEGKSCfy8OSOM9ZIjft78vc0urNptHMH7aVViO7oMoeiw8tCWNbQJvC7uDloTQ0lu2BcXQ26jbf_EGGJxptVhrG9Zp7ibKyXpkLcu58p-urcxOsMk8jpn3Vq4g_SyeWa1z_Bq_l40t1-__Lz6vrj58e366vJmYZjsy8L2cmScGTkQQ2XPOk46KrW1FgxiTDCCjGG9lWgQduBmpF0vRmsHZCyTHLqL5u3Bd-djVnNyWeFesJ5QxFElrg_EGPVG7ZLb6vRbRe3UfSGmldKp3suDIoA1loIYIoFqyTSjA-0xCMEott1QvT7Pu-2HLYymhpm0PzE9_RPcWq3inaJECN6RavBhNkjx1x5yUTVIUxukA8T9dG7KOOcEyYq-O6ArXY_mgo3V0Uy4uqRYYoYwEZVa_oeqzwhbV7sK1tX6ieD9kWAN2pd1jv7Q-VOQHkCTYs4J7OM1MVLTnD6kraY5VfOcVtmb44geRQ-D2f0DA-rn5Q</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Lo Iacono, Giovanni</creator><creator>Cunningham, Andrew A</creator><creator>Fichet-Calvet, Elisabeth</creator><creator>Garry, Robert F</creator><creator>Grant, Donald S</creator><creator>Khan, Sheik Humarr</creator><creator>Leach, Melissa</creator><creator>Moses, Lina M</creator><creator>Schieffelin, John S</creator><creator>Shaffer, Jeffrey G</creator><creator>Webb, Colleen T</creator><creator>Wood, James L N</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150101</creationdate><title>Using modelling to disentangle the relative contributions of zoonotic and anthroponotic transmission: the case of lassa fever</title><author>Lo Iacono, Giovanni ; Cunningham, Andrew A ; Fichet-Calvet, Elisabeth ; Garry, Robert F ; Grant, Donald S ; Khan, Sheik Humarr ; Leach, Melissa ; Moses, Lina M ; Schieffelin, John S ; Shaffer, Jeffrey G ; Webb, Colleen T ; Wood, James L N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c596t-f69d575c9b2c4965372349afffec0558520cc56f90b8fb7cd4368dffb0cf597e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Analysis</topic><topic>Animals</topic><topic>Biology and Life Sciences</topic><topic>Cross Infection - transmission</topic><topic>Deaths</topic><topic>Disease transmission</topic><topic>Distribution</topic><topic>Epidemics</topic><topic>Fever</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Infections</topic><topic>Lassa fever</topic><topic>Lassa Fever - epidemiology</topic><topic>Lassa Fever - transmission</topic><topic>Medicine and Health Sciences</topic><topic>Models, Biological</topic><topic>Research and Analysis Methods</topic><topic>Sierra Leone - epidemiology</topic><topic>Zoonoses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lo Iacono, Giovanni</creatorcontrib><creatorcontrib>Cunningham, Andrew A</creatorcontrib><creatorcontrib>Fichet-Calvet, Elisabeth</creatorcontrib><creatorcontrib>Garry, Robert F</creatorcontrib><creatorcontrib>Grant, Donald S</creatorcontrib><creatorcontrib>Khan, Sheik Humarr</creatorcontrib><creatorcontrib>Leach, Melissa</creatorcontrib><creatorcontrib>Moses, Lina M</creatorcontrib><creatorcontrib>Schieffelin, John S</creatorcontrib><creatorcontrib>Shaffer, Jeffrey G</creatorcontrib><creatorcontrib>Webb, Colleen T</creatorcontrib><creatorcontrib>Wood, James L N</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS neglected tropical diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lo Iacono, Giovanni</au><au>Cunningham, Andrew A</au><au>Fichet-Calvet, Elisabeth</au><au>Garry, Robert F</au><au>Grant, Donald S</au><au>Khan, Sheik Humarr</au><au>Leach, Melissa</au><au>Moses, Lina M</au><au>Schieffelin, John S</au><au>Shaffer, Jeffrey G</au><au>Webb, Colleen T</au><au>Wood, James L N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using modelling to disentangle the relative contributions of zoonotic and anthroponotic transmission: the case of lassa fever</atitle><jtitle>PLoS neglected tropical diseases</jtitle><addtitle>PLoS Negl Trop Dis</addtitle><date>2015-01-01</date><risdate>2015</risdate><volume>9</volume><issue>1</issue><spage>e3398</spage><epage>e3398</epage><pages>e3398-e3398</pages><issn>1935-2735</issn><issn>1935-2727</issn><eissn>1935-2735</eissn><abstract>Zoonotic infections, which transmit from animals to humans, form the majority of new human pathogens. Following zoonotic transmission, the pathogen may already have, or may acquire, the ability to transmit from human to human. With infections such as Lassa fever (LF), an often fatal, rodent-borne, hemorrhagic fever common in areas of West Africa, rodent-to-rodent, rodent-to-human, human-to-human and even human-to-rodent transmission patterns are possible. Indeed, large hospital-related outbreaks have been reported. Estimating the proportion of transmission due to human-to-human routes and related patterns (e.g. existence of super-spreaders), in these scenarios is challenging, but essential for planned interventions.
Here, we make use of an innovative modeling approach to analyze data from published outbreaks and the number of LF hospitalized patients to Kenema Government Hospital in Sierra Leone to estimate the likely contribution of human-to-human transmission. The analyses show that almost [Formula: see text] of the cases at KGH are secondary cases arising from human-to-human transmission. However, we found much of this transmission is associated with a disproportionally large impact of a few individuals ('super-spreaders'), as we found only [Formula: see text] of human cases result in an effective reproduction number (i.e. the average number of secondary cases per infectious case) [Formula: see text], with a maximum value up to [Formula: see text].
This work explains the discrepancy between the sizes of reported LF outbreaks and a clinical perception that human-to-human transmission is low. Future assessment of risks of LF and infection control guidelines should take into account the potentially large impact of super-spreaders in human-to-human transmission. Our work highlights several neglected topics in LF research, the occurrence and nature of super-spreading events and aspects of social behavior in transmission and detection.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25569707</pmid><doi>10.1371/journal.pntd.0003398</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1935-2735 |
ispartof | PLoS neglected tropical diseases, 2015-01, Vol.9 (1), p.e3398-e3398 |
issn | 1935-2735 1935-2727 1935-2735 |
language | eng |
recordid | cdi_plos_journals_1685624070 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access; Public Library of Science (PLoS) |
subjects | Analysis Animals Biology and Life Sciences Cross Infection - transmission Deaths Disease transmission Distribution Epidemics Fever Hospitals Humans Infections Lassa fever Lassa Fever - epidemiology Lassa Fever - transmission Medicine and Health Sciences Models, Biological Research and Analysis Methods Sierra Leone - epidemiology Zoonoses |
title | Using modelling to disentangle the relative contributions of zoonotic and anthroponotic transmission: the case of lassa fever |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T22%3A04%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Using%20modelling%20to%20disentangle%20the%20relative%20contributions%20of%20zoonotic%20and%20anthroponotic%20transmission:%20the%20case%20of%20lassa%20fever&rft.jtitle=PLoS%20neglected%20tropical%20diseases&rft.au=Lo%20Iacono,%20Giovanni&rft.date=2015-01-01&rft.volume=9&rft.issue=1&rft.spage=e3398&rft.epage=e3398&rft.pages=e3398-e3398&rft.issn=1935-2735&rft.eissn=1935-2735&rft_id=info:doi/10.1371/journal.pntd.0003398&rft_dat=%3Cgale_plos_%3EA419150128%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1645777209&rft_id=info:pmid/25569707&rft_galeid=A419150128&rft_doaj_id=oai_doaj_org_article_2e1a1982c29e4a95a54b461e88541f3b&rfr_iscdi=true |