article · BIMA JOURNAL OF SCIENCE AND TECHNOLOGY GOMBE
This study investigated the prevalence of SARS-CoV-2 and its associated risk factors among individuals with suspected respiratory infections in Gombe State, Nigeria. Researchers collected 200 nasopharyngeal and oropharyngeal samples from participants across the state and screened them for COVID-19 using Rapid Diagnostic Kits. Demographic data were gathered via questionnaires and analysed statistically. The findings revealed an overall SARS-CoV-2 prevalence rate of 26.5%. Statistical analysis indicated that gender, age, location, and educational background were significantly linked to infection. Specifically, male sex, adult age, urban residence, and lower education levels were identified as significant risk factors for COVID-19. The study recommends implementing a vaccination programme to help control the spread of the virus.
Understanding the prevalence and specific risk factors for SARS-CoV-2 in local populations is crucial for public health planning. This data can inform targeted interventions, resource allocation, and the development of effective strategies to control disease transmission and protect vulnerable groups within communities.
The abstract describes epidemiological research identifying prevalence and risk factors for SARS-CoV-2 in a specific region. It does not indicate any direct application pathway for a product, service, or technology, nor does it suggest a readiness level for commercialisation.
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The novel corona virus (SARS-CoV-2) has quickly spread from person to person and claimed millions of lives worldwide. However, there is a lack of epidemiological data on this infectious agent in Gombe State. This study aimed to determine the prevalence of SARS-CoV-2 and its associated risk factors among patients with suspected respiratory infections attending the General Hospital in Gombe State, Nigeria. Approximately 200 nasopharyngeal and/or oropharyngeal samples were collected from participants across Gombe State and screened for COVID-19 using Rapid Diagnostic Kits (RDT). In addition, Semi-structured questionnaires were used to collect additional demographic data. The data were analyzed statistically using SPSS version 22. The results indicated an overall prevalence rate of 26.5%. Chi-square analysis showed that demographic factors such as gender, age, location, and educational background were significantly associated with COVID-19 infection, while tribe and occupation were found to be statistically insignificant. Additionally, binary and multiple logistic regression analyses identified male sex, adult age, urban residence, and lower education levels as significant risk factors for COVID-19 infection. Therefore, this study recommends the implementation of a vaccination program to help contain the spread of SARS-CoV-2 infection.
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DOI: 10.64290/bima.v9i2b.1306
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