Evidence map›Paper›PMID 34444296›Full record

ArticleInternational journal of environmental research and public health2021

Detection of SARS-CoV-2 in Wastewater Northeast of Mexico City: Strategy for Monitoring and Prevalence of COVID-19.

José Roberto González-Reyes, María de la Luz Hernández-Flores, Jesús Eduardo Paredes-Zarco, Alejandro Téllez-Jurado, Omar Fayad-Meneses, Lamán Carranza-Ramírez

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. The potential of long-term wastewater-based surveillance to predict COVID-19 waves peak in Mexico.Water environment research : a research publication of the Water Environment Federation · 2025
    Article
  5. Article
  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

José Roberto González-ReyesInvestigación Aplicada para el Bienestar Social y Ambiental Asociación Civil (INABISA A.C.), Pachuca 42088, Mexico.ORCID 0000-0002-2451-1409
María de la Luz Hernández-FloresConsejo Ejecutivo del Complejo Científico y Tecnológico Sincrotrón, San Agustín Tlaxiaca 42163, Mexico.
Jesús Eduardo Paredes-ZarcoInvestigación Aplicada para el Bienestar Social y Ambiental Asociación Civil (INABISA A.C.), Pachuca 42088, Mexico.ORCID 0000-0002-8316-3096
Alejandro Téllez-JuradoLaboratorio de Agrobiotecnología, Universidad Politécnica de Pachuca, Carretera Pachuca-Cd. Sahagún km 20, Zempoala 43830, Mexico.ORCID 0000-0002-5491-3679
Omar Fayad-MenesesConsejo Ejecutivo del Complejo Científico y Tecnológico Sincrotrón, San Agustín Tlaxiaca 42163, Mexico.
Lamán Carranza-RamírezConsejo Ejecutivo del Complejo Científico y Tecnológico Sincrotrón, San Agustín Tlaxiaca 42163, Mexico.

Funding

CITNOVA CITNOVA/DG/010/2020
6 · The paper itself

Abstract

A month-long wastewater sampling project was conducted along the northeast periphery of Mexico City, specifically in the state of Hidalgo, to assess the presence of SARS-CoV-2. To determine the prevalence of infection and obtain a range of COVID-19 cases in the main metropolitan zones. Viral RNA residues (0-197,655 copies/L) were measured in wastewater from the five central municipalities in the state. By recording the number of RNA viral copies per liter, micro-basins delimitation, demographic and physiological data, an interval of infected people and virus prevalence was estimated using a Monte Carlo model (with 90% confidence) in the micro-basin of five municipalities with metropolitan influence or industrial activity. Our procedure determined that the percentage of the infected population ranges from 1.4% to 41.7%, while the official data reports 0.1-0.3%. This model is proposed as a helpful method of regional epidemiological monitoring through the analysis of viral prevalence.

Indexed as

COVID-19WastewaterCitiesHumansMexicoPrevalenceSARS-CoV-2Wastewaterenvironmental policyepidemiological monitoringprevalencewastewaterwastewater-based epidemiology (WBE)

Identifiers

PMID34444296
PMCPMC8393920

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.