Evidence map›Paper›PMID 30687487›Full record

ArticleJournal of public health in Africa2018

Field application of the Micro Biological Survey method for the assessment of the microbiological safety of different water sources in Tanzania.

Matteo Gionfriddo, Beatrice Nicolosi, Lorenza Murgia, Alyexandra Arienzo, Laura De Gara, Giovanni Antonini

Open access · goldAbstract read
In one paragraph

Article in Journal of public health in Africa, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Matteo GionfriddoFood Science and Nutrition Unit, Campus Bio-Medico University, Rome.
Beatrice NicolosiFood Science and Nutrition Unit, Campus Bio-Medico University, Rome.
Lorenza MurgiaScience Department, Roma Tre University, Rome, Italy.
Alyexandra ArienzoScience Department, Roma Tre University, Rome, Italy.
Laura De GaraFood Science and Nutrition Unit, Campus Bio-Medico University, Rome.
Giovanni AntoniniScience Department, Roma Tre University, Rome, Italy.
Roma Tre University · ITUniversità Campus Bio-Medico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to safe water is stated within human rights as essential for life, as water can be a source of severe enteric infections threatening human health, in particular children from Developing Countries. Along with reference methods, need is pressing for alternative methods to flank reference ones to improve water safety on-site monitoring and in the absence of scientific facilities or even electricity supply. The Micro Biological Survey (MBS) method has already been successfully applied to water safety assessment in Developing Countries. A total of 18 water samples were collected from different sources (rivers, dug wells, tap water) within the Rukwa Region, Tanzania, and underwent analysis for Total Coliforms following the MBS method. Globally, rivers showed more frequently contamination, followed by dug wells, tap water and tanks. Results demonstrate the need for continuous monitoring of water sources, even in difficult frameworks lacking electric supply, to help improve control over water quality, possibly using alternative methods to simplify existing protocols.

Indexed as

alternative methodsmicrobiological safetyTanzaniawater monitoringWater safety

Identifiers

PMID30687487
PMCPMC6326156
OpenAlexW2906246270

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.