Literature DB >> 32998066

An integrated biosensor system with mobile health and wastewater-based epidemiology (iBMW) for COVID-19 pandemic.

Kang Mao1, Hua Zhang2, Zhugen Yang3.   

Abstract

The outbreak of coronavirus disease (COVID-19) has caused a significant public health challenge worldwide. A lack of effective methods for screening potential patients, rapidly diagnosing suspected cases, and accurately monitoring of the epidemic in real time to prevent the rapid spread of COVID-19 raises significant difficulties in mitigating the epidemic in many countries. As effective point-of-care diagnosis tools, simple, low-cost and rapid sensors have the potential to greatly accelerate the screening and diagnosis of suspected patients to improve their treatment and care. In particular, there is evidence that multiple pathogens have been detected in sewage, including SARS-CoV-2, providing significant opportunities for the development of advanced sensors for wastewater-based epidemiology that provide an early warning of the pandemic within the population. Sensors could be used to screen potential carriers, provide real-time monitoring and control of the epidemic, and even support targeted drug screening and delivery within the integration of emerging mobile health (mHealth) technology. In this communication, we discuss the feasibility of an integrated point-of-care biosensor system with mobile health for wastewater-based epidemiology (iBMW) for early warning of COVID-19, screening and diagnosis of potential infectors, and improving health care and public health. The iBMW will provide an effective approach to prevent, evaluate and intervene in a fast, affordable and reliable way, thus enabling real-time guidance for the government in providing effective intervention and evaluating the effectiveness of intervention.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Early warning; Mobile health; Pandemic; Point-of-use sensors; Wastewater-based epidemiology

Mesh:

Substances:

Year:  2020        PMID: 32998066      PMCID: PMC7492834          DOI: 10.1016/j.bios.2020.112617

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  13 in total

1.  A Proof-of-Concept Electrochemical Cytosensor Based on Chlamydomonas reinhardtii Functionalized Carbon Black Screen-Printed Electrodes: Detection of Escherichia coli in Wastewater as a Case Study.

Authors:  Amina Antonacci; Fabiana Arduini; Raouia Attaallah; Aziz Amine; Maria Teresa Giardi; Viviana Scognamiglio
Journal:  Biosensors (Basel)       Date:  2022-06-10

Review 2.  Monitoring COVID-19 through SARS-CoV-2 quantification in wastewater: progress, challenges and prospects.

Authors:  José Alhama; Juan P Maestre; M Ángeles Martín; Carmen Michán
Journal:  Microb Biotechnol       Date:  2021-12-14       Impact factor: 6.575

3.  Detecting SARS-CoV-2 RNA prone clusters in a municipal wastewater network using fuzzy-Bayesian optimization model to facilitate wastewater-based epidemiology.

Authors:  Srinivas Rallapalli; Shubham Aggarwal; Ajit Pratap Singh
Journal:  Sci Total Environ       Date:  2021-03-08       Impact factor: 7.963

Review 4.  SARS-CoV-2: sewage surveillance as an early warning system and challenges in developing countries.

Authors:  Deepak Panchal; Om Prakash; Prakash Bobde; Sukdeb Pal
Journal:  Environ Sci Pollut Res Int       Date:  2021-03-17       Impact factor: 4.223

Review 5.  New approach in SARS-CoV-2 surveillance using biosensor technology: a review.

Authors:  Dina M El-Sherif; Mohamed Abouzid; Mohamed S Gaballah; Alhassan Ali Ahmed; Muhammad Adeel; Sheta M Sheta
Journal:  Environ Sci Pollut Res Int       Date:  2021-10-23       Impact factor: 4.223

6.  Loop-mediated isothermal amplification-based electrochemical sensor for detecting SARS-CoV-2 in wastewater samples.

Authors:  Roberto G Ramírez-Chavarría; Elizabeth Castillo-Villanueva; Bryan E Alvarez-Serna; Julián Carrillo-Reyes; Rosa María Ramírez-Zamora; Germán Buitrón; Luis Alvarez-Icaza
Journal:  J Environ Chem Eng       Date:  2022-02-28

7.  Translating daily COVID-19 screening into a simple glucose test: a proof of concept study.

Authors:  Ran Liu; Yuansheng Hu; Ying He; Tian Lan; Jingjing Zhang
Journal:  Chem Sci       Date:  2021-05-25       Impact factor: 9.825

Review 8.  Wastewater-based epidemiology-surveillance and early detection of waterborne pathogens with a focus on SARS-CoV-2, Cryptosporidium and Giardia.

Authors:  Alireza Zahedi; Paul Monis; Daniel Deere; Una Ryan
Journal:  Parasitol Res       Date:  2021-01-06       Impact factor: 2.383

9.  A nanoscale genosensor for early detection of COVID-19 by voltammetric determination of RNA-dependent RNA polymerase (RdRP) sequence of SARS-CoV-2 virus.

Authors:  Leila Farzin; Sodeh Sadjadi; Azarmidokht Sheini; Elham Mohagheghpour
Journal:  Mikrochim Acta       Date:  2021-03-10       Impact factor: 5.833

10.  A multi-method analytical approach to predicting young adults' intention to invest in mHealth during the COVID-19 pandemic.

Authors:  Najmul Hasan; Yukun Bao; Raymond Chiong
Journal:  Telemat Inform       Date:  2021-12-22
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.