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Determining Existing Human Population Immunity as Part of Assessing Influenza Pandemic Risk
Zoonotic influenza infections continue to threaten human health. Ongoing surveillance and risk assessment of animal viruses are needed for pandemic preparedness, and population immunity is an important component of risk assessment. We determined age-stratified hemagglutinin inhibition seroprevalence...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045452/ https://www.ncbi.nlm.nih.gov/pubmed/35447069 http://dx.doi.org/10.3201/eid2805.211965 |
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author | Cheung, Jonathan Tin Lai Tsang, Tim K. Yen, Hui-ling Perera, Ranawaka A.P.M. Mok, Chris Ka Pun Lin, Yong Ping Cowling, Benjamin J. Peiris, Malik |
author_facet | Cheung, Jonathan Tin Lai Tsang, Tim K. Yen, Hui-ling Perera, Ranawaka A.P.M. Mok, Chris Ka Pun Lin, Yong Ping Cowling, Benjamin J. Peiris, Malik |
author_sort | Cheung, Jonathan Tin Lai |
collection | PubMed |
description | Zoonotic influenza infections continue to threaten human health. Ongoing surveillance and risk assessment of animal viruses are needed for pandemic preparedness, and population immunity is an important component of risk assessment. We determined age-stratified hemagglutinin inhibition seroprevalence against 5 swine influenza viruses circulating in Hong Kong and Guangzhou in China. Using hemagglutinin inhibition seroprevalence and titers, we modeled the effect of population immunity on the basic reproduction number (R(0)) if each virus were to become transmissible among humans. Among 353 individual serum samples, we reported low seroprevalence for triple-reassortant H1N2 and Eurasian avian-like H1N1 influenza viruses, which would reduce R(0) by only 18%–20%. The smallest R(0) needed to cause a pandemic was 1.22–1.24, meaning existing population immunity would be insufficient to block the spread of these H1N1 or H1N2 variants. For human-origin H3N2, existing population immunity could suppress R(0) by 47%, thus reducing pandemic risk. |
format | Online Article Text |
id | pubmed-9045452 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-90454522022-05-07 Determining Existing Human Population Immunity as Part of Assessing Influenza Pandemic Risk Cheung, Jonathan Tin Lai Tsang, Tim K. Yen, Hui-ling Perera, Ranawaka A.P.M. Mok, Chris Ka Pun Lin, Yong Ping Cowling, Benjamin J. Peiris, Malik Emerg Infect Dis Research Zoonotic influenza infections continue to threaten human health. Ongoing surveillance and risk assessment of animal viruses are needed for pandemic preparedness, and population immunity is an important component of risk assessment. We determined age-stratified hemagglutinin inhibition seroprevalence against 5 swine influenza viruses circulating in Hong Kong and Guangzhou in China. Using hemagglutinin inhibition seroprevalence and titers, we modeled the effect of population immunity on the basic reproduction number (R(0)) if each virus were to become transmissible among humans. Among 353 individual serum samples, we reported low seroprevalence for triple-reassortant H1N2 and Eurasian avian-like H1N1 influenza viruses, which would reduce R(0) by only 18%–20%. The smallest R(0) needed to cause a pandemic was 1.22–1.24, meaning existing population immunity would be insufficient to block the spread of these H1N1 or H1N2 variants. For human-origin H3N2, existing population immunity could suppress R(0) by 47%, thus reducing pandemic risk. Centers for Disease Control and Prevention 2022-05 /pmc/articles/PMC9045452/ /pubmed/35447069 http://dx.doi.org/10.3201/eid2805.211965 Text en https://creativecommons.org/licenses/by/4.0/Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Cheung, Jonathan Tin Lai Tsang, Tim K. Yen, Hui-ling Perera, Ranawaka A.P.M. Mok, Chris Ka Pun Lin, Yong Ping Cowling, Benjamin J. Peiris, Malik Determining Existing Human Population Immunity as Part of Assessing Influenza Pandemic Risk |
title | Determining Existing Human Population Immunity as Part of Assessing Influenza Pandemic Risk |
title_full | Determining Existing Human Population Immunity as Part of Assessing Influenza Pandemic Risk |
title_fullStr | Determining Existing Human Population Immunity as Part of Assessing Influenza Pandemic Risk |
title_full_unstemmed | Determining Existing Human Population Immunity as Part of Assessing Influenza Pandemic Risk |
title_short | Determining Existing Human Population Immunity as Part of Assessing Influenza Pandemic Risk |
title_sort | determining existing human population immunity as part of assessing influenza pandemic risk |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045452/ https://www.ncbi.nlm.nih.gov/pubmed/35447069 http://dx.doi.org/10.3201/eid2805.211965 |
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