The role of smart technologies in wastewater-based epidemiology

José Gonçalves

Journal of Environmental Exposure Assessment ›› 2023, Vol. 2 ›› Issue (4) : 18

PDF
Journal of Environmental Exposure Assessment ›› 2023, Vol. 2 ›› Issue (4) :18 DOI: 10.20517/jeea.2023.16
Perspective

The role of smart technologies in wastewater-based epidemiology

Author information +
History +
PDF

Abstract

This article explores the role of smart technologies in advancing Wastewater-based epidemiology (WBE) for enhanced disease surveillance. Disease surveillance is crucial for monitoring and controlling infectious diseases, and WBE provides a complementary approach by analyzing wastewater to identify and track pathogens. During the COVID-19 pandemic, WBE has been successfully used to detect and monitor SARS-CoV-2 in various types of wastewater, providing early warning of outbreaks and identifying emerging hotspots. However, WBE faces challenges such as the need for specialized equipment and sensitive methodologies. To overcome these limitations, biosensors have been developed, offering high sensitivity, specificity, and rapid results. Electrochemical biosensors are particularly promising for WBE due to their real-time connectivity, low-cost design, and wireless data collection, despite their limitations. Integration of smart sensors into the Internet of Things (IoT) enables seamless data integration and real-time monitoring. Furthermore, the widespread use of smartphones presents an opportunity to revolutionize smart diagnostics by leveraging their features for data analysis and communication.

Keywords

Disease surveillance / wastewater-based epidemiology / biosensors / smart technologies / internet of things

Cite this article

Download citation ▾
José Gonçalves. The role of smart technologies in wastewater-based epidemiology. Journal of Environmental Exposure Assessment, 2023, 2(4): 18 DOI:10.20517/jeea.2023.16

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Aborode AT,Jain S.Impact of poor disease surveillance system on COVID-19 response in africa: time to rethink and rebuilt.Clin Epidemiol Glob Health2021;12:100841 PMCID:PMC8330137

[2]

Gonçalves J,Rodriguéz E.Centralized and decentralized wastewater-based epidemiology to infer COVID-19 transmission-a brief review.One Health2022;15:100405 PMCID:PMC9150914

[3]

Gonçalves J,Mioč V.Detection of SARS-CoV-2 RNA in hospital wastewater from a low COVID-19 disease prevalence area.Sci Total Environ2021;755:143226 PMCID:PMC7591869

[4]

Wolfe MK.Invited perspective: the promise of wastewater monitoring for infectious disease surveillance.Environ Health Perspect2022;130:51302 PMCID:PMC9097954

[5]

Paquet C,Kaiser R.Epidemic intelligence: a new framework for strengthening disease surveillance in Europe.Eurosurveillance2006;11:5-6.

[6]

Scallan E.Activities, achievements, and lessons learned during the first 10 years of the foodborne diseases active surveillance network: 1996-2005.Clin Infect Dis2007;44:718-25

[7]

Ladner JT,Pybus OG.Precision epidemiology for infectious disease control.Nat Med2019;25:206-11 PMCID:PMC7095960

[8]

Chen C,Gerber JP,Irvine RJ.Towards finding a population biomarker for wastewater epidemiology studies.Sci Total Environ2014;487:621-8

[9]

Boogaerts T,Choi PM.Current and future perspectives for wastewater-based epidemiology as a monitoring tool for pharmaceutical use.Sci Total Environ2021;789:148047

[10]

González-Mariño I,Alygizakis NA.Spatio-temporal assessment of illicit drug use at large scale: evidence from 7 years of international wastewater monitoring.Addiction2020;115:109-20 PMCID:PMC6973045

[11]

Hernández F,Covaci A.Mass spectrometric strategies for the investigation of biomarkers of illicit drug use in wastewater.Mass Spectrom Rev2018;37:258-80 PMCID:PMC6191649

[12]

Zuccato E,Castiglioni S,Fanelli R.Estimating community drug abuse by wastewater analysis.Environ Health Perspect2008;116:1027-32. PMCID:PMC2516581

[13]

Adelodun B,Ibrahim RG,Choi KS.Snowballing transmission of COVID-19 (SARS-CoV-2) through wastewater: any sustainable preventive measures to curtail the scourge in low-income countries?.Sci Total Environ2020;742:140680 PMCID:PMC7329667

[14]

García-Encina PA.Wastewater-based epidemiology (WBE).2021;35:1162-3

[15]

Acosta N,Hollman J.A multicenter study investigating SARS-CoV-2 in tertiary-care hospital wastewater. viral burden correlates with increasing hospitalized cases as well as hospital-associated transmissions and outbreaks.Water Res2021;201:117369 PMCID:PMC8214445

[16]

Ahmed W,Edson J.First confirmed detection of SARS-CoV-2 in untreated wastewater in Australia: a proof of concept for the wastewater surveillance of COVID-19 in the community.Sci Total Environ2020;728:138764 PMCID:PMC7165106

[17]

Bar-Or I,Indenbaum V.Detection of SARS-CoV-2 variants by genomic analysis of wastewater samples in Israel.Sci Total Environ2021;789:148002. PMCID:PMC8142738

[18]

Davó L,Botija P.Early detection of SARS-CoV-2 infection cases or outbreaks at nursing homes by targeted wastewater tracking.Clin Microbiol Infect2021;27:1061-3 PMCID:PMC7882920

[19]

Huraimel K, Alhosani M, Kunhabdulla S, Stietiya MH. SARS-CoV-2 in the environment: modes of transmission, early detection and potential role of pollutions.Sci Total Environ2020;744:140946 PMCID:PMC7361046

[20]

Mota CR,Araújo JC.Assessing spatial distribution of COVID-19 prevalence in Brazil using decentralised sewage monitoring.Water Res2021;202:117388 PMCID:PMC8666095

[21]

Gracia-Lor E,Hernández F,Castiglioni S.Wastewater-based epidemiology as a novel biomonitoring tool to evaluate human exposure to pollutants.Environ Sci Technol2018;52:10224-6

[22]

Polo D,Corbishley A.Making waves: wastewater-based epidemiology for COVID-19-approaches and challenges for surveillance and prediction.Water Res2020;186:116404 PMCID:PMC7480445

[23]

Mao K,Pan Y.Biosensors for wastewater-based epidemiology for monitoring public health.Water Res2021;191:116787.

[24]

Corpuz MVA,Vigliotta G.Viruses in wastewater: occurrence, abundance and detection methods.Sci Total Environ2020;745:140910 PMCID:PMC7368910

[25]

Pilevar M,Lee WH.Recent advances in biosensors for detecting viruses in water and wastewater.J Hazard Mater2021;410:124656

[26]

Baker RE,Miller IF.Infectious disease in an era of global change.Nat Rev Microbiol2022;20:193-205 PMCID:PMC8513385

[27]

Chen Y,Yang Z,Zhou X.Optical biosensors based on refractometric sensing schemes: a review.Biosens Bioelectron2019;144:111693.

[28]

Bao J,Huo D.Sensitive and selective electrochemical biosensor based on ELP-OPH/BSA/TiO2NFs/AuNPs for determination of organophosphate pesticides with p-Nitrophenyl substituent.J Electrochem Soc2017;164:G17-22.

[29]

Mao K,Yang Z.Can a paper-based device trace COVID-19 sources with wastewater-based epidemiology?.Environ Sci Technol2020;54:3733-5.

[30]

Turner AP.Tech.sight. biochemistry. biosensors--sense and sensitivity.Science2000;290:1315-7

[31]

Biswas P,Balasubramanian P.Biosensor for detection of dissolved chromium in potable water: a review.Biosens Bioelectron2017;94:589-604.

[32]

Mahmoudi T,Shirdel B,Morales-Narváez E.(Nano)tag-antibody conjugates in rapid tests.J Mater Chem B2021;9:5414-38

[33]

Mahmoudi T,Morales-Narváez E.Toward smart diagnosis of pandemic infectious diseases using wastewater-based epidemiology.Trends Analyt Chem2022;153:116635 PMCID:PMC9010328

[34]

Cesewski E.Electrochemical biosensors for pathogen detection.Biosens Bioelectron2020;159:112214 PMCID:PMC7152911

[35]

Gonçalves J,Torres-Franco A.Microbial contamination of environmental waters and wastewater: detection methods and treatment technologies. Modern approaches in waste bioremediation: environmental microbiology. Springer International Publishing; 2023. pp. 461-83.

[36]

Javaid M.Internet of things (IoT) enabled healthcare helps to take the challenges of COVID-19 Pandemic.J Oral Biol Craniofac Res2021;11:209-14. PMCID:PMC7897999

[37]

Madrid RE,Barraza DE.Smartphone-based biosensor devices for healthcare: technologies, trends, and adoption by end-users.Bioengineering2022;9:101 PMCID:PMC8945789

[38]

Manickam P,Murugesan SM.Artificial intelligence (AI) and internet of medical things (IoMT) assisted biomedical systems for intelligent healthcare.Biosensors2022;12:562 PMCID:PMC9330886

[39]

Sahu AK,Raja R.Deep learning-based continuous authentication for an iot-enabled healthcare service.Comput Electr Eng2022;99:107817.

[40]

Vashist SK.Smartphone-based point-of-care technologies for mobile healthcare. point-of-care technologies enabling next-generation healthcare monitoring and management. Cham: Springer International Publishing; 2019. pp. 27-79.

[41]

Xu X,Wei H.Advances in smartphone-based point-of-care diagnostics.Proc IEEE2015;103:236-47

[42]

Land KJ,Chen XS,Peeling RW.REASSURED diagnostics to inform disease control strategies, strengthen health systems and improve patient outcomes.Nat Microbiol2019;4:46-54 PMCID:PMC7097043

[43]

Lin YL,Teerapanich P,Chou CF.Multiplexed immunosensing and kinetics monitoring in nanofluidic devices with highly enhanced target capture efficiency.Biomicrofluidics2016;10:034114 PMCID:PMC4902814

[44]

Mortelmans T,Padeste C,Li X.A nanofluidic device for rapid and multiplexed SARS-CoV-2 serological antibody detection.Research Square2021;1:online ahead of print

[45]

Ye X,Wang L,Kong J.All-in-one microfluidic nucleic acid diagnosis system for multiplex detection of sexually transmitted pathogens directly from genitourinary secretions.Talanta2021;221:121462.

[46]

Yeh EC,Hu L,Feng J.Self-powered integrated microfluidic point-of-care low-cost enabling (SIMPLE) chip.Sci Adv2017;3:e1501645 PMCID:PMC5362183

AI Summary AI Mindmap
PDF

85

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/