Evidence map›Paper›PMID 34778187›Full record

ArticleFrontiers in public health2021

MEWAR: Development of a Cross-Platform Mobile Application and Web Dashboard System for Real-Time Mosquito Surveillance in Northeast Brazil.

Aisha Aldosery, Anwar Musah, Georgiana Birjovanu, Giselle Moreno, Andrei Boscor, Livia Dutra, George Santos, Vania Nunes, Rossandra Oliveira, Tercio Ambrizzi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in 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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. New technologies for identification and surveillance of Chagas disease vectors.Revista da Sociedade Brasileira de Medicina Tropical · 2026
    Review
  4. Review
  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

13 authors at 5 institutions in 2 countries.

Aisha AldoseryCentre for Digital Public Health & Emergencies, Institute for Risk and Disaster Reduction, University College London, London, United Kingdom.
Anwar MusahCentre for Digital Public Health & Emergencies, Institute for Risk and Disaster Reduction, University College London, London, United Kingdom.
Georgiana BirjovanuCentre for Digital Public Health & Emergencies, Institute for Risk and Disaster Reduction, University College London, London, United Kingdom.
Giselle MorenoDepartment of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences (IAG), University of São Paulo, São Paulo, Brazil.
Andrei BoscorCentre for Digital Public Health & Emergencies, Institute for Risk and Disaster Reduction, University College London, London, United Kingdom.
Livia DutraDepartment of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences (IAG), University of São Paulo, São Paulo, Brazil.
George SantosRecife City Hall, Recife, Brazil.
Vania NunesRecife City Hall, Recife, Brazil.
Rossandra OliveiraCampina Grande City Hall, Campina Grande, Brazil.
Tercio AmbrizziDepartment of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences (IAG), University of São Paulo, São Paulo, Brazil.
Tiago MassoniDepartment of Systems & Computing, Federal University of Campina Grande, Campina Grande, Brazil.
Wellington Pinheiro Dos SantosDepartment of Biomedical Engineering, Federal University of Pernambuco, Recife, Brazil.
Patty KostkovaCentre for Digital Public Health & Emergencies, Institute for Risk and Disaster Reduction, University College London, London, United Kingdom.
University College London · GBUniversidade de São Paulo · BRPrefeitura da Cidade do RecifeUniversidade Federal de Campina Grande · BRUniversidade Federal de Pernambuco · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquito surveillance is a crucial process for understanding the population dynamics of mosquitoes, as well as implementing interventional programs for controlling and preventing the spread of mosquito-borne diseases. Environmental surveillance agents who performing routine entomological surveys at properties in areas where mosquito-borne diseases are endemic play a critical role in vector surveillance by searching and destroying mosquito hotspots as well as collate information on locations with increased infestation. Currently, the process of recording information on paper-based forms is time-consuming and painstaking due to manual effort. The introduction of mobile surveillance applications will therefore improve the process of data collection, timely reporting, and field worker performance. Digital-based surveillance is critical in reporting real-time data; indeed, the real-time capture of data with phones could be used for predictive analytical models to predict mosquito population dynamics, enabling early warning detection of hotspots and thus alerting fieldworker agents into immediate action. This paper describes the development of a cross-platform digital system for improving mosquito surveillance in Brazil. It comprises of two components: a dashboard for managers and a mobile application for health agents. The former enables managers to assign properties to health workers who then survey them for mosquitoes and to monitor the progress of inspection visits in real-time. The latter, which is primarily designed as a data collection tool, enables the environmental surveillance agents to act on their assigned tasks of recording the details of the properties at inspections by filling out digital forms built into the mobile application, as well as details relating to mosquito infestation. The system presented in this paper was co-developed with significant input with environmental agents in two Brazilian cities where it is currently being piloted.

Indexed as

CulicidaeMobile ApplicationsAnimalsBrazilEntomologyHumansMosquito Vectorsenvironmental health agentsenvironmental surveillance agentsmobile technologymosquitoreal-timesurveillance

Identifiers

PMID34778187
PMCPMC8578800
OpenAlexW3209023411

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.