tetano
Editor, Senior Moderator
Sci Rep
. 2025 Mar 20;15(1):9663.
doi: 10.1038/s41598-025-94938-7. Measuring SARS-CoV-2 RNA in Bangkok wastewater treatment plants and estimating infected population after fully opening the country in 2023, Thailand
Thanchira Saita[SUP] 1 2 [/SUP], Bussarakam Thitanuwat[SUP] 1 [/SUP], Nattamon Niyomdecha[SUP] 3 [/SUP], Jarunee Prasertsopon[SUP] 4 [/SUP], Hatairat Lerdsamran[SUP] 4 [/SUP], Pilaipan Puthavathana[SUP] 4 [/SUP], Pirom Noisumdaeng[SUP] 5 6 [/SUP]
Affiliations
Wastewater-based epidemiology (WBE) has been employed for monitoring the presence of SARS-CoV-2 infected population. Herein, the study aims to apply the WBE for surveillance and monitoring SARS-CoV-2 in Bangkok, where the highest official covid-19 cases reported in Thailand, during the fully opening for international tourists in early 2023. A total of 200 wastewater samples (100 influent and 100 effluent samples) were collected from 10 wastewater treatment plants (WWTPs) during January-May 2023. SARS-CoV-2 RNA was detected by real time qRT-PCR with accounting for 51% (102/200). Of these, 88% (88/100) and 14% (14/100) were detected in influent and effluent samples, respectively. The SARS-CoV-2 RNA concentration was detected in ranged of 4.76 × 10[SUP]2[/SUP]-1.48 × 10[SUP]5[/SUP] copies/L. The amount of SARS-CoV-2 RNA has increased approximately 4 times from the lag phase (January-March) to the log phase (April-May). Spearman's correlation coefficient revealed that correlation between estimated infected population and weekly reported cases was statistically significant (p-value = 0.017). SARS-CoV-2 RNA in influent had a statistically significant relationship with weekly reported cases (r = 0.481, p-value < 0.001). Lag time analysis revealed early warning 1-3 weeks before rising covid-19 cases observed. GIS was applied for spatial-temporal analysis at the province level, suggesting real time dashboard should be further developed.
. 2025 Mar 20;15(1):9663.
doi: 10.1038/s41598-025-94938-7. Measuring SARS-CoV-2 RNA in Bangkok wastewater treatment plants and estimating infected population after fully opening the country in 2023, Thailand
Thanchira Saita[SUP] 1 2 [/SUP], Bussarakam Thitanuwat[SUP] 1 [/SUP], Nattamon Niyomdecha[SUP] 3 [/SUP], Jarunee Prasertsopon[SUP] 4 [/SUP], Hatairat Lerdsamran[SUP] 4 [/SUP], Pilaipan Puthavathana[SUP] 4 [/SUP], Pirom Noisumdaeng[SUP] 5 6 [/SUP]
Affiliations
- PMID: 40113890
- PMCID: PMC11926235
- DOI: 10.1038/s41598-025-94938-7
Wastewater-based epidemiology (WBE) has been employed for monitoring the presence of SARS-CoV-2 infected population. Herein, the study aims to apply the WBE for surveillance and monitoring SARS-CoV-2 in Bangkok, where the highest official covid-19 cases reported in Thailand, during the fully opening for international tourists in early 2023. A total of 200 wastewater samples (100 influent and 100 effluent samples) were collected from 10 wastewater treatment plants (WWTPs) during January-May 2023. SARS-CoV-2 RNA was detected by real time qRT-PCR with accounting for 51% (102/200). Of these, 88% (88/100) and 14% (14/100) were detected in influent and effluent samples, respectively. The SARS-CoV-2 RNA concentration was detected in ranged of 4.76 × 10[SUP]2[/SUP]-1.48 × 10[SUP]5[/SUP] copies/L. The amount of SARS-CoV-2 RNA has increased approximately 4 times from the lag phase (January-March) to the log phase (April-May). Spearman's correlation coefficient revealed that correlation between estimated infected population and weekly reported cases was statistically significant (p-value = 0.017). SARS-CoV-2 RNA in influent had a statistically significant relationship with weekly reported cases (r = 0.481, p-value < 0.001). Lag time analysis revealed early warning 1-3 weeks before rising covid-19 cases observed. GIS was applied for spatial-temporal analysis at the province level, suggesting real time dashboard should be further developed.