ArticlePloS one2021
Placing sensors in sewer networks: A system to pinpoint new cases of coronavirus.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 33 citations in OpenAlex.
- Identifying outbreaks in sewer networks: An adaptive sampling scheme under network's uncertainty.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
- Machine Learning for Detecting Virus Infection Hotspots Via Wastewater-Based Epidemiology: The Case of SARS-CoV-2 RNA.GeoHealth · 2023Article
- Advances in virus detection methods for wastewater-based epidemiological applications.Case studies in chemical and environmental engineering · 2022Article
- Effect of mandating vaccination on COVID-19 cases in colleges and universities.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022Article
- Toward smart diagnosis of pandemic infectious diseases using wastewater-based epidemiology.Trends in analytical chemistry : TRAC · 2022Review
- Opinion: Wastewater analysis can be a powerful public health tool-if it's done sensibly.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Identification of sampling points for the detection of SARS-CoV-2 in the sewage system.Sustainable cities and society · 2022Article
- Simulation-based what-if analysis for controlling the spread of Covid-19 in universities.PloS one · 2021Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We consider a proposed system that would place sensors in a number of wastewater manholes in a community in order to detect genetic remnants of SARS-Cov-2 found in the excreted stool of infected persons. These sensors would continually monitor the manhole's wastewater, and whenever virus remnants are detected, transmit an alert signal. In a recent paper, we described two new algorithms, each sequentially opening and testing successive manholes for genetic remnants, each algorithm homing in on a neighborhood where the infected person or persons are located. This paper extends that work in six important ways: (1) we introduce the concept of in-manhole sensors, as these sensors will reduce the number of manholes requiring on-site testing; (2) we present a realistic tree network depicting the topology of the sewer pipeline network; (3) for simulations, we present a method to create random tree networks exhibiting key attributes of a given community; (4) using the simulations, we empirically demonstrate that the mean and median number of manholes to be opened in a search follows a well-known logarithmic function; (5) we develop procedures for determining the number of sensors to deploy; (6) we formulate the sensor location problem as an integer nonlinear optimization and develop heuristics to solve it. Our sensor-manhole system, to be implemented, would require at least three additional steps in R&D: (a) an accurate, inexpensive and fast SARS-Cov-2 genetic-remnants test that can be done at the manhole; (b) design, test and manufacture of the sensors; (c) in-the-field testing and fine tuning of an implemented system.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.