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Data for Surveillance of respiratory viruses among children attending a primary school in rural coastal Kenya
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Adema, Irene Wangwa, Kamau, Everlyn, Nyiro, Joyce Uchi, Otieno, Grieven P., Lewa, Clement, Munywoki, Patrick K. and Nokes, D. James (2020) Data for Surveillance of respiratory viruses among children attending a primary school in rural coastal Kenya. [Dataset]
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Official URL: https://doi.org/10.7910/DVN/AAA4JN
Abstract
This dataset is acquired from the SPREDstudy which is part of a larger project titled SPReD (Studies of the Pathways of transmission of Respiratory virus Disease) which aims to advance understanding of the nature of spread of respiratory viruses. The study was conducted as a one-year surveillance of respiratory viruses in a rural primary school in Kilifi county, coastal Kenya with the main aim of characterising respiratory virus infection in the school setting and define the role of school-going children in the transmission of these viruses in the general community.
The main dataset contains 36 variables and 3384 observations. These data include records of anthropometric measures, acute respiratory infection (ARI) symptoms and laboratory test results from nasal samples obtained from symptomatic school children every week over one school year. Anthropometric measures including the age, grade, weight, height, mid-upper arm circumference, temperature and respiratory rate of each student were recorded every week from a random sample of symptomatic students in each grade. Acute respiratory infection symptoms were also recorded at this time. Nasal samples were screened for 15 virus targets using real-time PCR. Samples were considered positive for a specific target if the ct value was >0 and <=35. The dataset is used to describe the types of respiratory viruses circulating among school-going children.
Background: Respiratory viruses are primary agents of respiratory tract diseases. Knowledge on the types and frequency of respiratory viruses affecting school-children is important in determining the role of schools in transmission in the community and identifying targets for interventions.
Methods: We conducted a one-year (term-time) surveillance of respiratory viruses in a rural primary school in Kilifi County, coastal Kenya between May 2017 and April 2018. A sample of 60 students with symptoms of ARI were targeted for nasopharyngeal swab (NPS) collection weekly. Swabs were screened for 15 respiratory virus targets using real time PCR diagnostics. Data from respiratory virus surveillance at the local primary healthcare facility was used for comparison.
Results: Overall, 469 students aged 2-19 years were followed up for 220 days. A total of 1726 samples were collected from 325 symptomatic students; median age of 7 years (IQR 5-11). At least one virus target was detected in 384 (22%) of the samples with a frequency of 288 (16.7%) for rhinovirus, 47 (2.7%) parainfluenza virus, 35 (2.0%) coronavirus, 15 (0.9%) adenovirus, 11 (0.6%) respiratory syncytial virus (RSV) and 5 (0.3%) influenza virus. The proportion of virus positive samples was higher among lower grades compared to upper grades (25.9% vs 17.5% respectively; χ2 = 17.2, P -value <0.001). Individual virus target frequencies did not differ by age, sex, grade, school term or class size. Rhinovirus was predominant in both the school and outpatient setting.
Conclusion: Multiple respiratory viruses circulated in this rural school population. Rhinovirus was dominant in both the school and outpatient setting and RSV was of notably low frequency in the school. The role of school children in transmitting viruses to the household setting is still unclear and further studies linking molecular data to contact patterns between the school children and their households are required.
Item Type: | Dataset | |||||||||
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Alternative Title: | Replication Data for: Surveillance of respiratory viruses among children attending a primary school in rural coastal Kenya | |||||||||
Subjects: | R Medicine > RJ Pediatrics | |||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | |||||||||
Type of Data: | Observational data | |||||||||
Library of Congress Subject Headings (LCSH): | Respiratory infections in children -- Kenya | |||||||||
Publisher: | University of Warwick, School of Life Sciences | |||||||||
Official Date: | 24 January 2020 | |||||||||
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Status: | Not Peer Reviewed | |||||||||
Publication Status: | Published | |||||||||
Media of Output (format): | .tab .csv .pdf | |||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||
Copyright Holders: | University of Warwick | |||||||||
Description: | Data record consists of 2 zip files containing the main raw data, one containing analysis datasets in csv format, the other containing an analysis dataset formatted for STATA v15. A third zip file contains the STATA do file for running the dataset. There is two accompanying documentation codebooks describing variables and labels in the main data. |
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