Comparison of gene targets and sampling regimes for SARS-CoV-2 quantification for wastewater epidemiology in UK prisons.
Kelly JoblingMarcos Quintela-BalujaFrancis HassardPanagiota AdamouAdrian BlackburnTerm Research TeamShannon McIntyre-NolanOscar O'MaraJesus L RomaldeMariachiara Di CesareDavid W GrahamPublished in: Journal of water and health (2024)
Prisons are high-risk settings for infectious disease transmission, due to their enclosed and semi-enclosed environments. The proximity between prisoners and staff, and the diversity of prisons reduces the effectiveness of non-pharmaceutical interventions, such as social distancing. Therefore, alternative health monitoring methods, such as wastewater-based epidemiology (WBE), are needed to track pathogens, including SARS-CoV-2. This pilot study assessed WBE to quantify SARS-CoV-2 prevalence in prison wastewater to determine its utility within a health protection system for residents. The study analysed 266 samples from six prisons in England over a 12-week period for nucleoprotein 1 (N1 gene) and envelope protein (E gene) using quantitative reverse transcriptase-polymerase chain reaction. Both gene assays successfully detected SARS-CoV-2 fragments in wastewater samples, with both genes significantly correlating with COVID-19 case numbers across the prisons (p < 0.01). However, in 25% of the SARS-positive samples, only one gene target was detected, suggesting that both genes be used to reduce false-negative results. No significant differences were observed between 14- and 2-h composite samples, although 2-h samples showed greater signal variance. Population normalisation did not improve correlations between the N1 and E genes and COVID-19 case data. Overall, WBE shows considerable promise for health protection in prison settings.
Keyphrases
- sars cov
- genome wide identification
- genome wide
- respiratory syndrome coronavirus
- healthcare
- copy number
- public health
- mental health
- wastewater treatment
- genome wide analysis
- risk factors
- coronavirus disease
- transcription factor
- physical activity
- dna methylation
- anaerobic digestion
- infectious diseases
- health information
- health promotion
- amino acid
- high throughput
- human health
- electronic health record
- binding protein
- artificial intelligence
- multidrug resistant
- data analysis
- double blind