SARS-CoV-2 variants-associated outbreaks of COVID-19 in a tertiary institution, North-Central Nigeria: Implications for epidemic control

Adeyemi, Oluwapelumi O.; Ndodo, Nnaemeka; Sulaiman, Mariam Kehinde; Ayansola, Oyeronke; Buhari, Oluwabunmi Idera Nimat; Akanbi, O A; Bolarinwa, Oladimeji Akeem; Chukwu, Chimaobi; Joel, Ireoluwa Yinka; Omoare, Adesuyi Ayodeji; Wahab, Kolawole; Obiekea, Celestina; Buhari, Mikhail Olayinka; Ahumibe, Anthony; Kolawole, Caroline Folasade; Okoi, Catherine; Omotesho, Olumuyiwa Babagbemi; Mba, Nwando; Adeniyi, Oluwafemi; Babatunde, Olajumoke; Akintunde, Nathaniel; Ayinla, Ganiu; Akande, Oluwatosin Wuraola; Odunola, Rasheed Adekeye; Saka, MJ; Musa, Omotosho Ibrahim; Durotoye, Idayat Adenike; Ihekweazu, Chikwe; Adetifa, Ifedayo; Fadeyi, Abayomi

doi:10.1371/journal.pone.0280756

Cited by 4 publications

(3 citation statements)

References 49 publications

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“…This information is represented in Figure 5. (Badmus et al, 2023;Omede et al, 2023;Onwube et al, 2023;Adeyemi et al, 2023;Moroh et al, 2023;Taiwo et al, 2023) and elsewhere around the world (Triambak et al, 2023;Jameel et al, 2023;Mitra et al, 2023) focusing on understanding the behaviour of the disease through modelling, reproduction metrics, risk factors and other research approaches.…”

Section: Visualisation Of Covid-19 Datamentioning

confidence: 99%

“…Figure 6: Mean values of Rt over the weekly sliding windows and a 95% Confidence Interval DISCUSSION Evolution of the COVID-19 virus poses serious challenges to prevention, control and mitigation strategies, with several variants identified through different waves of the pandemic and recent research efforts in Nigeria(Badmus et al, 2023;Omede et al, 2023;Onwube et al, 2023;Adeyemi et al, 2023;Moroh et al, 2023;Taiwo et al, 2023) and elsewhere around the world(Triambak et al, 2023;Jameel et al, 2023;Mitra et al, 2023) focusing on understanding the behaviour of the disease through modelling, reproduction metrics, risk factors and other research approaches. In this paper, we investigated the transmission of the disease using time-varying reproduction number (Rt) metric and studied the effect of age and gender as risk factors during the third wave of the pandemic in Katsina state.…”

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An Estimate of Time-Dependent Transmission of COVID-19 Pandemic in Katsina State from June to November 2021

Rabe,

Idris

2022

USci

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This paper investigates the spread of COVID-19 pandemic in Katsina state from 23rd June to 27th November, 2021, using graphical tools to visually analyse infection over time and time-dependent reproduction number to quantify the transmissibility of the disease. Study data consist of diagnostic results of reverse transcriptase real-time quantitative polymerase chain reaction assays (RT-PCR) on nine hundred and eighty-nine nasal swab samples from suspected COVID-19 cases, collected from public and private health facilities across Local government areas of the State and analysed by the Molecular Laboratory of the Federal Medical Centre Katsina, recording a total of 137 positive cases. Our investigation revealed that, over the study period, COVID-19 transmission reaches its peak on 17th October 2021 (Epidemic Week 41), with a mean Reproduction number (Rt) of 3.22 and a standard deviation of 0.5976 (95% CI: 2.6193 - 3.8145), culminating in 19 new infections on Wednesday the 27th (Epidemic Week 43). The combined age groups 21-30 and 31-40 constituted the most affected cases with 29 (21.17%) and 19 (13.87%) positive cases, respectively. This was closely followed by age group 51-60 with 19 (13.87%) positive cases. On gender basis, 70 (51%) females tested positive compared to 67 (49%) males. We therefore conclude that for the third wave of COVID-19 pandemic in Katsina State, disease transmission reaches its peak in Epidemic Week 41 in October, then rapidly diminishes to Rt values of less than one, indicating that no new infections were expected by the end of November, with female gender and age groups in the range 21 to 40 years being most infected. We recommend that mitigation strategies that take into consideration features inherent in female gender and more pronounced in young (21 to 40 years) and middle-aged (51-60 years) adults should be adopted in case of future waves.

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Section: Visualisation Of Covid-19 Datamentioning

confidence: 99%

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confidence: 99%

An Estimate of Time-Dependent Transmission of COVID-19 Pandemic in Katsina State from June to November 2021

Rabe,

Idris

2022

USci

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“…6 In 2023 there are COVID-19 vaccines, however, the pandemic is still ongoing with outbreaks of infection caused by variants of interest emerging across the world, with impact on the provision of dental care and research. [7][8][9] Recent evidence has highlighted Brazilian contribution to dental research: Brazil has ranked second in the number of international publications in Dentistry for over fifteen years and ranked second in citations in 2017. 10 Held in Brazil, the Annual Meeting of the Brazilian Division of the International Association for Dental Research -Sociedade Brasileira de Pesquisa Odontológica (SBPqO), is the largest dental research conference in Latin America.…”

Section: Introductionmentioning

confidence: 99%

Dental research related to COVID-19 in Brazil: research presented at the 38th SBPqO Meeting

GATTI-REIS,

SILVA-SOUSA,

PORDEUS

et al. 2024

Braz. oral res.

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The aim of this study was to identify and describe the characteristics of coronavirus (COVID-19)-disease related dental research in Brazil presented at the 38th Annual Meeting of the Brazilian Division of the International Association for Dental Research (SBPqO). A search was carried out in the proceedings of the meeting to retrieve all abstracts. Those containing the term "COVID-19" in titles, abstracts, or keywords, and/or those of which the scope approached a COVID-19-related topic were included. The variables extracted from abstracts were: presenter category, field of study, design, data collection method, population, affiliation, and authors' gender. Descriptive and inferential statistics were used, with a significance level of α = 0.05. The search retrieved 185 abstracts, 5 did not meet study eligibility criteria and were excluded. COVID-19-related research was presented by either aspiring/associate members (67.8%) or beginner members (32.2%). Data collection methods were predominantly digitally mediated (65%), followed by secondary data use (25%), and in-person data collection (7.2%). Irrespective of the role of authorship, there were a ratio of two female authors to each male. Among the last authors, the ratio was three females to each male. Female lead authors more frequently came from the Southeast region (71.8%; p = 0.470). There was an association between presenter category and study design (p = 0.012), clinical and epidemiological studies were more concentrated among experienced presenters. In conclusion, female dental researchers affiliated to southeastern institutions approached the topic of pandemic more frequently than male colleagues. The use of digital technology for data collection may have long-lasting impacts on the teaching and publication of dental research.

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Influence of SARS-CoV-2 variants on COVID-19 epidemiological and clinical profiles: a comparative analysis of two waves of cases

dos Santos,

de Santana Silva

et al. 2024

Virol J

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Background The COVID-19 pandemic has been the most significant health challenge of the last century. Multiple and successive waves of COVID-19 cases, driven particularly by the emergence of new SARS-CoV-2 variants, have kept the world in a constant state of alert. Methods We present an observational, descriptive, cross-sectional study aimed at identifying SARS-CoV-2 variants circulating during two local waves of COVID-19 cases in southern Bahia, Brazil (late 2021 and late 2022), and analyzing the association between the detected variants and the epidemiological and clinical characteristics of the disease. For this purpose, data and nasopharyngeal samples from individuals in southern Bahia, Brazil, with suspected COVID-19 were included. Viral detection was performed by RT-qPCR, and SARS-CoV-2 variants were identified by next-generation viral sequencing. Results A total of 368 nasopharyngeal samples were tested. Approximately 23% of the samples from late 2021 tested positive for SARS-CoV-2, while in 2022, the positivity rate was about 56%. All sequenced samples from 2021 were identified as the Delta variant, while in 2022, all samples were classified as the Omicron variant. Overall, individuals who tested positive for SARS-CoV-2 in 2022 were younger than those who tested positive in 2021. Moreover, we observed significant differences in the clinical spectrum of SARS-CoV-2 infection when comparing the two periods. Individuals who presented with anosmia/ageusia were more likely to test positive for SARS-CoV-2 infection in 2021 but not in 2022. Additionally, fever, dry cough, pharyngalgia, headache, and rhinorrhea were more frequent among individuals infected with the Omicron variant than among those infected with the Delta variant. Conclusions The profile of COVID-19 in southern Bahia differed when analyzing two distinct waves of the pandemic in the region. These differences are likely related to the variants, which may differ in transmissibility and virulence, thereby altering the dynamics of the pandemic. This underscores the importance of genomic surveillance in better understanding the behavior of viral infections. Supplementary Information The online version contains supplementary material available at 10.1186/s12985-024-02538-0.

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SARS-CoV-2 variants-associated outbreaks of COVID-19 in a tertiary institution, North-Central Nigeria: Implications for epidemic control

Cited by 4 publications

References 49 publications

An Estimate of Time-Dependent Transmission of COVID-19 Pandemic in Katsina State from June to November 2021

An Estimate of Time-Dependent Transmission of COVID-19 Pandemic in Katsina State from June to November 2021

Dental research related to COVID-19 in Brazil: research presented at the 38th SBPqO Meeting

Influence of SARS-CoV-2 variants on COVID-19 epidemiological and clinical profiles: a comparative analysis of two waves of cases

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