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Timing of seasonal influenza epidemics for 25 countries in Africa during 2010–19: a retrospective analysis
BACKGROUND: Using country-specific surveillance data to describe influenza epidemic activity could inform decisions on the timing of influenza vaccination. We analysed surveillance data from African countries to characterise the timing of seasonal influenza epidemics to inform national vaccination s...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126228/ https://www.ncbi.nlm.nih.gov/pubmed/37061311 http://dx.doi.org/10.1016/S2214-109X(23)00109-2 |
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author | Igboh, Ledor S Roguski, Katherine Marcenac, Perrine Emukule, Gideon O Charles, Myrna D Tempia, Stefano Herring, Belinda Vandemaele, Katelijn Moen, Ann Olsen, Sonja J Wentworth, David E Kondor, Rebecca Mott, Josh A Hirve, Siddhivinayak Bresee, Joseph S Mangtani, Punam Nguipdop-Djomo, Patrick Azziz-Baumgartner, Eduardo |
author_facet | Igboh, Ledor S Roguski, Katherine Marcenac, Perrine Emukule, Gideon O Charles, Myrna D Tempia, Stefano Herring, Belinda Vandemaele, Katelijn Moen, Ann Olsen, Sonja J Wentworth, David E Kondor, Rebecca Mott, Josh A Hirve, Siddhivinayak Bresee, Joseph S Mangtani, Punam Nguipdop-Djomo, Patrick Azziz-Baumgartner, Eduardo |
author_sort | Igboh, Ledor S |
collection | PubMed |
description | BACKGROUND: Using country-specific surveillance data to describe influenza epidemic activity could inform decisions on the timing of influenza vaccination. We analysed surveillance data from African countries to characterise the timing of seasonal influenza epidemics to inform national vaccination strategies. METHODS: We used publicly available sentinel data from African countries reporting to the WHO Global Influenza Surveillance and Response FluNet platform that had 3–10 years of data collected during 2010–19. We calculated a 3-week moving proportion of samples positive for influenza virus and assessed epidemic timing using an aggregate average method. The start and end of each epidemic were defined as the first week when the proportion of positive samples exceeded or went below the annual mean, respectively, for at least 3 consecutive weeks. We categorised countries into five epidemic patterns: northern hemisphere-dominant, with epidemics occurring in October–March; southern hemisphere-dominant, with epidemics occurring in April–September; primarily northern hemisphere with some epidemic activity in southern hemisphere months; primarily southern hemisphere with some epidemic activity in northern hemisphere months; and year-round influenza transmission without a discernible northern hemisphere or southern hemisphere predominance (no clear pattern). FINDINGS: Of the 34 countries reporting data to FluNet, 25 had at least 3 years of data, representing 46% of the countries in Africa and 89% of Africa's population. Study countries reported RT-PCR respiratory virus results for a total of 503 609 specimens (median 12 971 [IQR 9607–20 960] per country-year), of which 74 001 (15%; median 2078 [IQR 1087–3008] per country-year) were positive for influenza viruses. 248 epidemics occurred across 236 country-years of data (median 10 [range 7–10] per country). Six (24%) countries had a northern hemisphere pattern (Algeria, Burkina Faso, Egypt, Morocco, Niger, and Tunisia). Eight (32%) had a primarily northern hemisphere pattern with some southern hemisphere epidemics (Cameroon, Ethiopia, Mali, Mozambique, Nigeria, Senegal, Tanzania, and Togo). Three (12%) had a primarily southern hemisphere pattern with some northern hemisphere epidemics (Ghana, Kenya, and Uganda). Three (12%) had a southern hemisphere pattern (Central African Republic, South Africa, and Zambia). Five (20%) had no clear pattern (Côte d'Ivoire, DR Congo, Madagascar, Mauritius, and Rwanda). INTERPRETATION: Most countries had identifiable influenza epidemic periods that could be used to inform authorities of non-seasonal and seasonal influenza activity, guide vaccine timing, and promote timely interventions. FUNDING: None. TRANSLATIONS: For the Berber, Luganda, Xhosa, Chewa, Yoruba, Igbo, Hausa and Afan Oromo translations of the abstract see Supplementary Materials section. |
format | Online Article Text |
id | pubmed-10126228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-101262282023-04-26 Timing of seasonal influenza epidemics for 25 countries in Africa during 2010–19: a retrospective analysis Igboh, Ledor S Roguski, Katherine Marcenac, Perrine Emukule, Gideon O Charles, Myrna D Tempia, Stefano Herring, Belinda Vandemaele, Katelijn Moen, Ann Olsen, Sonja J Wentworth, David E Kondor, Rebecca Mott, Josh A Hirve, Siddhivinayak Bresee, Joseph S Mangtani, Punam Nguipdop-Djomo, Patrick Azziz-Baumgartner, Eduardo Lancet Glob Health Articles BACKGROUND: Using country-specific surveillance data to describe influenza epidemic activity could inform decisions on the timing of influenza vaccination. We analysed surveillance data from African countries to characterise the timing of seasonal influenza epidemics to inform national vaccination strategies. METHODS: We used publicly available sentinel data from African countries reporting to the WHO Global Influenza Surveillance and Response FluNet platform that had 3–10 years of data collected during 2010–19. We calculated a 3-week moving proportion of samples positive for influenza virus and assessed epidemic timing using an aggregate average method. The start and end of each epidemic were defined as the first week when the proportion of positive samples exceeded or went below the annual mean, respectively, for at least 3 consecutive weeks. We categorised countries into five epidemic patterns: northern hemisphere-dominant, with epidemics occurring in October–March; southern hemisphere-dominant, with epidemics occurring in April–September; primarily northern hemisphere with some epidemic activity in southern hemisphere months; primarily southern hemisphere with some epidemic activity in northern hemisphere months; and year-round influenza transmission without a discernible northern hemisphere or southern hemisphere predominance (no clear pattern). FINDINGS: Of the 34 countries reporting data to FluNet, 25 had at least 3 years of data, representing 46% of the countries in Africa and 89% of Africa's population. Study countries reported RT-PCR respiratory virus results for a total of 503 609 specimens (median 12 971 [IQR 9607–20 960] per country-year), of which 74 001 (15%; median 2078 [IQR 1087–3008] per country-year) were positive for influenza viruses. 248 epidemics occurred across 236 country-years of data (median 10 [range 7–10] per country). Six (24%) countries had a northern hemisphere pattern (Algeria, Burkina Faso, Egypt, Morocco, Niger, and Tunisia). Eight (32%) had a primarily northern hemisphere pattern with some southern hemisphere epidemics (Cameroon, Ethiopia, Mali, Mozambique, Nigeria, Senegal, Tanzania, and Togo). Three (12%) had a primarily southern hemisphere pattern with some northern hemisphere epidemics (Ghana, Kenya, and Uganda). Three (12%) had a southern hemisphere pattern (Central African Republic, South Africa, and Zambia). Five (20%) had no clear pattern (Côte d'Ivoire, DR Congo, Madagascar, Mauritius, and Rwanda). INTERPRETATION: Most countries had identifiable influenza epidemic periods that could be used to inform authorities of non-seasonal and seasonal influenza activity, guide vaccine timing, and promote timely interventions. FUNDING: None. TRANSLATIONS: For the Berber, Luganda, Xhosa, Chewa, Yoruba, Igbo, Hausa and Afan Oromo translations of the abstract see Supplementary Materials section. Elsevier Ltd 2023-04-14 /pmc/articles/PMC10126228/ /pubmed/37061311 http://dx.doi.org/10.1016/S2214-109X(23)00109-2 Text en © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/3.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). |
spellingShingle | Articles Igboh, Ledor S Roguski, Katherine Marcenac, Perrine Emukule, Gideon O Charles, Myrna D Tempia, Stefano Herring, Belinda Vandemaele, Katelijn Moen, Ann Olsen, Sonja J Wentworth, David E Kondor, Rebecca Mott, Josh A Hirve, Siddhivinayak Bresee, Joseph S Mangtani, Punam Nguipdop-Djomo, Patrick Azziz-Baumgartner, Eduardo Timing of seasonal influenza epidemics for 25 countries in Africa during 2010–19: a retrospective analysis |
title | Timing of seasonal influenza epidemics for 25 countries in Africa during 2010–19: a retrospective analysis |
title_full | Timing of seasonal influenza epidemics for 25 countries in Africa during 2010–19: a retrospective analysis |
title_fullStr | Timing of seasonal influenza epidemics for 25 countries in Africa during 2010–19: a retrospective analysis |
title_full_unstemmed | Timing of seasonal influenza epidemics for 25 countries in Africa during 2010–19: a retrospective analysis |
title_short | Timing of seasonal influenza epidemics for 25 countries in Africa during 2010–19: a retrospective analysis |
title_sort | timing of seasonal influenza epidemics for 25 countries in africa during 2010–19: a retrospective analysis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126228/ https://www.ncbi.nlm.nih.gov/pubmed/37061311 http://dx.doi.org/10.1016/S2214-109X(23)00109-2 |
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