2023
DOI: 10.1016/j.scitotenv.2022.159350
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A 30-day follow-up study on the prevalence of SARS-COV-2 genetic markers in wastewater from the residence of COVID-19 patient and comparison with clinical positivity

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Cited by 36 publications
(33 citation statements)
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“…Underlying risk factors such as malnutrition among children may also aggravate the problems significantly ( 28 ). Because of the scarcity and difficulty in obtaining non-solid or clean fuels such as electricity and natural gas, low-income families in many developing countries rely on the use of low-cost but high-pollution solid fuels, such as wood, coal, straws, and animal dung, as their primary sources of energy for cooking and heating ( 29 32 ). Yet, even when access to electricity was available, 19.0, 6.8, and 50.9% of households in Bangladesh used crops, animal dung, and wood, respectively, as fuels for cooking, heating, and lighting ( 18 ).…”
Section: Introductionmentioning
confidence: 99%
“…Underlying risk factors such as malnutrition among children may also aggravate the problems significantly ( 28 ). Because of the scarcity and difficulty in obtaining non-solid or clean fuels such as electricity and natural gas, low-income families in many developing countries rely on the use of low-cost but high-pollution solid fuels, such as wood, coal, straws, and animal dung, as their primary sources of energy for cooking and heating ( 29 32 ). Yet, even when access to electricity was available, 19.0, 6.8, and 50.9% of households in Bangladesh used crops, animal dung, and wood, respectively, as fuels for cooking, heating, and lighting ( 18 ).…”
Section: Introductionmentioning
confidence: 99%
“…This study failed to include interventions such as the movement of infected people from one place to another; for example, information on the infected persons and asymptotic or who are at risk of exposure. Additionally, climate factors, including climate change influence changes like the virus, thus, increasing the cross-species viral transmission risk [ 34 , 56 , 57 , 58 ]. Our prediction techniques such as Prophet, ARIMA, and SES show a predictive power of 59.40%, 51.78%, and 31.09%, respectively.…”
Section: Discussionmentioning
confidence: 99%
“…Wastewater is a useful tool to monitor this disease with clinical tests. [64][65][66] It offers early detection of hotspots and prediction of patient numbers using Monte Carlo simulation. 67,68 treatment…”
Section: Prevention and Controlmentioning
confidence: 99%