Evaluating the frequency of asymptomatic Ebola virus infection
The potential for asymptomatic infection from Ebola viruses has long been questioned. Knowing the proportion of infections that are asymptomatic substantially changes the predictions made by mathematical models and alters the corresponding decisions based upon these models. To assess the degree of a...
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Veröffentlicht in: | Philosophical transactions of the Royal Society of London. Series B. Biological sciences 2017-05, Vol.372 (1721), p.20160303-20160303 |
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container_title | Philosophical transactions of the Royal Society of London. Series B. Biological sciences |
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creator | Mbala, Placide Baguelin, Marc Ngay, Ipos Rosello, Alicia Mulembakani, Prime Demiris, Nikolaos Edmunds, W. John Muyembe, Jean-Jacques |
description | The potential for asymptomatic infection from Ebola viruses has long been questioned. Knowing the proportion of infections that are asymptomatic substantially changes the predictions made by mathematical models and alters the corresponding decisions based upon these models. To assess the degree of asymptomatic infection occurring during an Ebola virus disease (EVD) outbreak, we carried out a serological survey in the Djera district of the Equateur province of the Democratic Republic of the Congo affected by an Ebola outbreak in 2014. We sampled all asymptomatic residents (n = 182) of 48 households where at least one case of EVD was detected. To control for potential background seroprevalence of Ebola antibodies in the population, we also sampled 188 individuals from 92 households in an unaffected area with a similar demographic background. We tested the sera collected for anti-Ebola IgG and IgM antibodies at four different dilutions. We then developed a mixture model to estimate the likely number of asymptomatic patients who developed IgM and IgG responses to Ebola antigens in both groups. While we detected an association between medium to high titres and age, we did not detect any evidence of increased asymptomatic infection in the individuals who resided in the same household as cases.
This article is part of the themed issue ‘The 2013–2016 West African Ebola epidemic: data, decision-making and disease control’. |
doi_str_mv | 10.1098/rstb.2016.0303 |
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This article is part of the themed issue ‘The 2013–2016 West African Ebola epidemic: data, decision-making and disease control’.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Antibodies</subject><subject>Antibodies, Viral - blood</subject><subject>Antigens</subject><subject>Asymptomatic Infection</subject><subject>Asymptomatic Infections - epidemiology</subject><subject>Decision making</subject><subject>Democratic Republic of the Congo - epidemiology</subject><subject>Demographics</subject><subject>Dilution</subject><subject>Disease control</subject><subject>Ebola virus</subject><subject>Ebola Virus Disease</subject><subject>Ebolavirus</subject><subject>Ebolavirus - physiology</subject><subject>Epidemics</subject><subject>Female</subject><subject>Hemorrhagic Fever, Ebola - epidemiology</subject><subject>Hemorrhagic Fever, Ebola - virology</subject><subject>Household Survey</subject><subject>Households</subject><subject>Humans</subject><subject>Immunoglobulin G</subject><subject>Immunoglobulin G - blood</subject><subject>Immunoglobulin M</subject><subject>Immunoglobulin M - blood</subject><subject>Infections</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Models, Theoretical</subject><subject>Outbreaks</subject><subject>Prevalence</subject><subject>Seroepidemiologic Studies</subject><subject>Serology</subject><subject>Viral diseases</subject><subject>Viruses</subject><subject>Young Adult</subject><issn>0962-8436</issn><issn>1471-2970</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkc9rFDEUx4Modq1ePcqAFy-z5iWTX5eCLasWCgWt55CdSdrUmcmaZBbGv96s25a2oPSUwPu8z8vLF6G3gJeAlfwYU14vCQa-xBTTZ2gBjYCaKIGfowVWnNSyofwAvUrpGmOsmGheogMiqeKNaBboaLU1_WSyHy-rfGUrF-2vyY7tXAVXmTQPmxyGUm6r1Tr0ptr6OKXKj8622YfxNXrhTJ_sm5vzEP34vLo4-VqfnX85Pfl0VrdMsVx30jKKneAEHMOEdq4rB5EOC-YIAAWHOQMGhFrLlFs7Ysq9EYZ3RlhJD9HR3ruZ1oPtWjvmaHq9iX4wcdbBeP2wMvorfRm2mlHV8AaK4MONIIayYMp68Km1fW9GG6akQSqQQgBtnoBKLhglnBT0_SP0OkxxLD-hQUlanESKQi33VBtDStG6u3cD1rsU9S5FvUtR71IsDe_ub3uH38ZWALoHYpjLsNB6m-d7s_-l_fm_rm_fL463VBAPgoDGkgIWQErzb7_Zq0pR-5Qmq_8iD_WPp_0BNIPMJw</recordid><startdate>20170526</startdate><enddate>20170526</enddate><creator>Mbala, Placide</creator><creator>Baguelin, Marc</creator><creator>Ngay, Ipos</creator><creator>Rosello, Alicia</creator><creator>Mulembakani, Prime</creator><creator>Demiris, Nikolaos</creator><creator>Edmunds, W. John</creator><creator>Muyembe, Jean-Jacques</creator><general>The Royal Society</general><general>The Royal Society Publishing</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>7QG</scope><scope>7QP</scope><scope>7SN</scope><scope>7SS</scope><scope>7TK</scope><scope>C1K</scope><scope>7X8</scope><scope>7U9</scope><scope>H94</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3867-1953</orcidid></search><sort><creationdate>20170526</creationdate><title>Evaluating the frequency of asymptomatic Ebola virus infection</title><author>Mbala, Placide ; Baguelin, Marc ; Ngay, Ipos ; Rosello, Alicia ; Mulembakani, Prime ; Demiris, Nikolaos ; Edmunds, W. John ; Muyembe, Jean-Jacques</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c595t-d8e530f7621f5023dfd50228f075f21131f06515123ee59fbf2a12347a6da7e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Antibodies</topic><topic>Antibodies, Viral - blood</topic><topic>Antigens</topic><topic>Asymptomatic Infection</topic><topic>Asymptomatic Infections - epidemiology</topic><topic>Decision making</topic><topic>Democratic Republic of the Congo - epidemiology</topic><topic>Demographics</topic><topic>Dilution</topic><topic>Disease control</topic><topic>Ebola virus</topic><topic>Ebola Virus Disease</topic><topic>Ebolavirus</topic><topic>Ebolavirus - physiology</topic><topic>Epidemics</topic><topic>Female</topic><topic>Hemorrhagic Fever, Ebola - epidemiology</topic><topic>Hemorrhagic Fever, Ebola - virology</topic><topic>Household Survey</topic><topic>Households</topic><topic>Humans</topic><topic>Immunoglobulin G</topic><topic>Immunoglobulin G - blood</topic><topic>Immunoglobulin M</topic><topic>Immunoglobulin M - blood</topic><topic>Infections</topic><topic>Male</topic><topic>Mathematical models</topic><topic>Models, Theoretical</topic><topic>Outbreaks</topic><topic>Prevalence</topic><topic>Seroepidemiologic Studies</topic><topic>Serology</topic><topic>Viral diseases</topic><topic>Viruses</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mbala, Placide</creatorcontrib><creatorcontrib>Baguelin, Marc</creatorcontrib><creatorcontrib>Ngay, Ipos</creatorcontrib><creatorcontrib>Rosello, Alicia</creatorcontrib><creatorcontrib>Mulembakani, Prime</creatorcontrib><creatorcontrib>Demiris, Nikolaos</creatorcontrib><creatorcontrib>Edmunds, W. 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Biological sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mbala, Placide</au><au>Baguelin, Marc</au><au>Ngay, Ipos</au><au>Rosello, Alicia</au><au>Mulembakani, Prime</au><au>Demiris, Nikolaos</au><au>Edmunds, W. John</au><au>Muyembe, Jean-Jacques</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating the frequency of asymptomatic Ebola virus infection</atitle><jtitle>Philosophical transactions of the Royal Society of London. Series B. Biological sciences</jtitle><stitle>Phil. Trans. R. Soc. B</stitle><addtitle>Philos Trans R Soc Lond B Biol Sci</addtitle><date>2017-05-26</date><risdate>2017</risdate><volume>372</volume><issue>1721</issue><spage>20160303</spage><epage>20160303</epage><pages>20160303-20160303</pages><issn>0962-8436</issn><eissn>1471-2970</eissn><abstract>The potential for asymptomatic infection from Ebola viruses has long been questioned. Knowing the proportion of infections that are asymptomatic substantially changes the predictions made by mathematical models and alters the corresponding decisions based upon these models. To assess the degree of asymptomatic infection occurring during an Ebola virus disease (EVD) outbreak, we carried out a serological survey in the Djera district of the Equateur province of the Democratic Republic of the Congo affected by an Ebola outbreak in 2014. We sampled all asymptomatic residents (n = 182) of 48 households where at least one case of EVD was detected. To control for potential background seroprevalence of Ebola antibodies in the population, we also sampled 188 individuals from 92 households in an unaffected area with a similar demographic background. We tested the sera collected for anti-Ebola IgG and IgM antibodies at four different dilutions. We then developed a mixture model to estimate the likely number of asymptomatic patients who developed IgM and IgG responses to Ebola antigens in both groups. While we detected an association between medium to high titres and age, we did not detect any evidence of increased asymptomatic infection in the individuals who resided in the same household as cases.
This article is part of the themed issue ‘The 2013–2016 West African Ebola epidemic: data, decision-making and disease control’.</abstract><cop>England</cop><pub>The Royal Society</pub><pmid>28396474</pmid><doi>10.1098/rstb.2016.0303</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-3867-1953</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Antibodies Antibodies, Viral - blood Antigens Asymptomatic Infection Asymptomatic Infections - epidemiology Decision making Democratic Republic of the Congo - epidemiology Demographics Dilution Disease control Ebola virus Ebola Virus Disease Ebolavirus Ebolavirus - physiology Epidemics Female Hemorrhagic Fever, Ebola - epidemiology Hemorrhagic Fever, Ebola - virology Household Survey Households Humans Immunoglobulin G Immunoglobulin G - blood Immunoglobulin M Immunoglobulin M - blood Infections Male Mathematical models Models, Theoretical Outbreaks Prevalence Seroepidemiologic Studies Serology Viral diseases Viruses Young Adult |
title | Evaluating the frequency of asymptomatic Ebola virus infection |
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