Evidence map›Paper›PMID 39951401›Full record

ArticleEnvironmental science & technology2025

Environmental Surveillance of Vector-Borne Diseases in a Non-Sewered System: A Case Study in Mozambique.

Silvia Monteiro, Filipa Nunes, Michaque Dosse, Nidia Cangi Vaz, Clemêncio Nhantumbo, Dinis Luiz Juízo, Ricardo Santos

Abstract read
In one paragraph

Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. West Nile Virus (PeerJ · 2025
    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

7 authors.

Silvia MonteiroLaboratório de Análises, Civil Engineering Research and Innovation for Sustainability and Department of Nuclear Sciences and Engineering, Instituto Superior Técnico, Universidade de Lisboa institution, Lisboa 1049-001, Portugal.ORCID 0000-0002-9943-0742
Filipa NunesLaboratório de Análises, Civil Engineering Research and Innovation for Sustainability and Department of Nuclear Sciences and Engineering, Instituto Superior Técnico, Universidade de Lisboa institution, Lisboa 1049-001, Portugal.
Michaque DosseFaculdade de Engenharia, Universidade Eduardo Mondlane, Maputo 1102, Mozambique.
Nidia Cangi VazCentro de Biotecnologia, Universidade Eduardo Mondlane, Maputo 1102, Mozambique.
Clemêncio NhantumboFaculdade de Engenharia, Universidade Eduardo Mondlane, Maputo 1102, Mozambique.
Dinis Luiz JuízoFaculdade de Engenharia, Universidade Eduardo Mondlane, Maputo 1102, Mozambique.
Ricardo SantosLaboratório de Análises, Civil Engineering Research and Innovation for Sustainability and Department of Nuclear Sciences and Engineering, Instituto Superior Técnico, Universidade de Lisboa institution, Lisboa 1049-001, Portugal.ORCID 0000-0003-1944-4261

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arboviral diseases pose major economic and social threats in less economically developed countries (LEDCs), where monitoring is challenging, especially in rapidly growing cities with informal settlements. In this study, we aimed to explore environmental surveillance (ES) in a non-sewered setting as a complement to syndromic surveillance in Maputo, Mozambique. Water samples were collected from nine points along the Infulene River (

Indexed as

Environmental MonitoringVector Borne DiseasesArbovirusesChikungunya virusHumansMozambiquearboviral diseasesenvironmental surveillanceless economically developed countriesnon-sewered settingspublic health surveillance

Identifiers

PMID39951401
PMCPMC12818743

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.