Infl uenza outbreak among students in Ghana: a report from three time points

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dc.contributor.authorSylverken, Augustina Angelina
dc.contributor.authorOwusu, Michael
dc.contributor.authorYeboah, Richmond
dc.contributor.authorEl-Duah, Philip
dc.contributor.authorGorman, Richmond
dc.contributor.authorBonney, Joseph Kofi
dc.contributor.authorAryeetey, Sherihane
dc.contributor.authorAdu, Kofi
dc.contributor.authoret. al..
dc.contributor.orcid0000-0002-7691-914X
dc.contributor.orcid0000-0001-5066-150X
dc.contributor.orcid0000-0002-2765-6179
dc.contributor.orcid0000-0003-1671-0755
dc.contributor.orcid0000-0002-6831-3375
dc.date.accessioned2024-02-21T10:33:09Z
dc.date.available2024-02-21T10:33:09Z
dc.date.issued2020-09-17
dc.descriptionThis is an article published in Research Gate on 17th September, 2020; Research Gate Publication on 17th September, 2020; https://doi.org/10.21203/rs.3.rs-34837/v3
dc.description.abstractBackground: Influenza viruses are known to be responsible for a number of respiratory disease outbreaks worldwide. While there exists documented information on influenza which allows for effective strategic preparedness activities in industrialized countries, the same cannot be said of developing and underdeveloped countries. It therefore behoves on developing countries to document information on circulating strains of influenza. Such information will enable prioritization of prevention and more targeted preparedness strategies. In this paper, we report on three different outbreaks of Influenza A among Ghanaian students in December 2017, May 2019 and December 2019 in the Ashanti region of Ghana. Methods: Throat or nasal samples were collected from all students who presented with signs and symptoms of fl u with flocked swabs, stored in RNAlater and transported to the laboratories of Kumasi Centre for Collaborative Research (KCCR) at ambient temperature. Following viral RNA extraction, detection of viral nucleic acid of both influenza A and its subtypes including H1N1 and H3N2 was done by real-time reverse transcription Polymerase Chain Reaction (RT-PCR). Results: A total of 112 samples were taken. An overall Influenza A prevalence of 51.8% (95% CI = 42.1-61.3) was recorded during the three outbreak time points. Of these, 11 (19.0%) were confirmed to be H1N1 (pdm09) and 47 (81.0%) were H3N2 strains. All the 11 H1N1 (pdm09) were identified during the first outbreak. The H3N2 strains were identified during the second and third outbreaks in May 2019 and December 2019 respectively. Our results show that influenza A virus activity was higher during the months of November and December compared to May. Age, contact with infected subjects, temperature, fever within the last 24 hours and headaches showed signifi cant variations (p-value <0.01) with respect to influenza A. Wald’s test revealed that subjects presenting with headaches had about 5 times odds (95%CI = 1.4-17.7) for infl enza A infection compared to subjects without headache (p = 0.014). Conclusion: Our study provides epidemiological information to better understand the incidence and burden of influenza to allow for prioritisation of prevention and control strategies. Such information would aid in controlling and preparing for future influenza epidemics.
dc.description.sponsorshipKNUST
dc.identifier.citationResearch Gate Publication on 17th September, 2020; https://doi.org/10.21203/rs.3.rs-34837/v3
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/15509
dc.language.isoen
dc.publisherResearch Gate Publication
dc.titleInfl uenza outbreak among students in Ghana: a report from three time points
dc.typeArticle
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