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Cost-effective Method for Microbial Source Tracking Using Specific Human and Animal Viruses
Published on: December 3, 2011
Prevalence of Human Bocavirus in Sewage, Surface Waters, and Other Environmental Milieux: A Meta-regression Modelling
Temitope C Ekundayo1, Frederick T Tabit2
1Department of Life and Consumer Sciences, University of South Africa, Roodepoort, South Africa. cyruscyrusthem@gmail.com.
Abstract:
Environmental matrices (EMs) are important reservoirs for the human bocavirus (HBoV). This study aimed to determine HBoV prevalence in EMs and model its association with SDG6.3.1 (wastewater production (WWp), collection (WWc), treatment (WWt), and reuse (WWr)). HBoV data-mined from EMs were fitted to a random-intercept-logistic regression/1000-bootstrapped-based meta-regressions. HBoV global prevalence in EMs was 42.19% (95%CI: 28.07-57.72), and varied non-statistically across continents (North America (66.59%), Africa (42.32%), Europe (41.95%), Asia (39.96%), South America (20.55%)), economies (high-income (45.04%) > upper-middle-income (42.56%) > lower-middle-income (41.35%)), WHO regions (Western Europe (41.95%) > Middle East & North Africa (41.35%) > East Asia & Pacific (39.96%) > North America (66.59%) > Latin America & Caribbean (20.55%)) but significantly across dwelling settings (urban: 52.02% versus rural: 20.29%) and sample types (raw sewage (RS, 73.16%) > treated sewage (TS, 43.47%) > sewage sludge (SS, 19.87%) > sediment (13.24%) > surface waters (18.55%)). HBoV subtypes circulating in EMs varied among sample types (HBoV1 in TS (40.74%) > RS (22.45%) > surface water (9.09%); HBoV2 in RS (75.42%) > TS (54.82%) > surface water (18.24%); HBoV3 in RS (64.74%) > TS (58.95%) > surface water (6.48%) > SS (3.49%)). HBoV prevalence in EMs had direct relationship (p ≤ 0.05) with SDG6.3.1 variables (WWp: F1;35 = 4.5822), and WWr: F1;35 = 4.3735; WWt: F1;35 = 3.9517; and WWc: F1;35 = 3.3510) accounted for 17.13%, 15.79%,15.65%, and 12.92% of the estimate variance, respectively. In conclusion, HBoV prevalence is high in EMs globally, across regions, sample types and showed considerable affinity with SDG6.3.1 variables.
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