Evidence map›Paper›PMID 33472364›Full record

ArticleEnvironmental science & technology2021

Quantitative Microbial Risk Assessment of Pediatric Infections Attributable to Ingestion of Fecally Contaminated Domestic Soils in Low-Income Urban Maputo, Mozambique.

Drew Capone, Aaron Bivins, Jackie Knee, Oliver Cumming, Rassul Nalá, Joe Brown

Abstract read
In one paragraph

Article in Environmental science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Evaluating the survival and removal ofApplied and environmental microbiology · 2025
    Article
  7. AssessingScience advances · 2025
    Article
  8. Article
  9. Article
  10. Simultaneous detection and quantification of multiple pathogen targets in wastewater.medRxiv : the preprint server for health sciences · 2023
    Article
  11. Article
  12. Producing ratio measures of effect with quantitative microbial risk assessment.Risk analysis : an official publication of the Society for Risk Analysis · 2023
    Article
  13. Article
  14. PersistentEnvironmental science & technology · 2022
    Article
  15. Article
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.

Drew CaponeCivil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Aaron BivinsDepartment of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, Indiana 46556, United States.ORCID 0000-0001-9385-2138
Jackie KneeDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London WC1E 7HT, U.K.ORCID 0000-0002-0834-8488
Oliver CummingDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London WC1E 7HT, U.K.
Rassul NaláMinistério da Saúde, Instituto Nacional de Saúde Maputo, Maputo 1100, Mozambique.
Joe BrownCivil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-5200-4148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rigorous studies of water, sanitation, and hygiene interventions in low- and middle-income countries (LMICs) suggest that children are exposed to enteric pathogens via multiple interacting pathways, including soil ingestion. In 30 compounds (household clusters) in low-income urban Maputo, Mozambique, we cultured

Indexed as

Escherichia coliSoilChildChild, PreschoolEatingFecesHumansInfantMozambiqueRisk AssessmentSoil

Identifiers

PMID33472364
PMCPMC7860170

What OpenQuestion holds

Textmetadata
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.