ReviewPublic health challenges2023
Infoveillance and bibliometric analysis of COVID-19 in Nigeria.
Review in Public health challenges, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Sexual and reproductive health consequences of COVID-19 pandemic in Nigeria: an infodemiological survey.Scientific reports · 2026Article
- The state of global research on poverty after SDG declaration.Public health challenges · 2023Review
- Infoveillance and bibliometric analysis of COVID-19 in Nigeria.Public health challenges · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Infectious diseases often come with enormous fear because of their ability to spark and spread. The same for COVID-19, which WHO declared a pandemic in February 2020 after a record spread in multiple countries. The global world of information and social media plays a major role in the pandemic. Hence, this study aims to analyse the patterns of internet search and research interests on COVID-19 in Nigeria. Methods: This is an infoveillance and bibliometric research about COVID-19 in Nigeria using systemic search through Google Trends to obtain COVID-19 information prevalence and research incidence through bibliometric analysis using SCOPUS database. The data obtained were analysed using the Microsoft Excel 2021 software. Descriptive statistics (frequencies, mean, range and mode) were used for the summarisation of the data. The findings were presented using texts, tables, charts and maps. Results: The information search spike started 1 week before the first index case. Search volume index inequalities were observed across the country, with the northern Nigeria having a higher search volume for COVID-19. This study also uncovered several top search terms, including "COVID-19," "COVID loan" and "vaccine," and queries, including "COVID-19 Nigeria," "COVID loan" and "COVID-19 in Nigeria," among others, which showed critical infodemiologic concerns in Nigeria. The interests of Nigerian researchers concerning COVID-19 cut across various disciplines. The top three subject areas with the most significant volume of these publications were Medicine, Social Sciences and Biochemistry. This study found extensive research collaboration with over 150 countries coupled with external funding. Conclusion: As internet search spikes reflect population health concerns and information-wish, understanding the infodemic patterns and search terms will influence mass media regulators and health authorities to be vigilant and tackle the spread of misinformation. Nigeria's research resilience depicts great potential, hence, a call for improved local funding for research and development.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.