Evidence map›Paper›PMID 36670398›Full record

ReviewMalaria journal2023

Unmanned aerial vehicles for surveillance and control of vectors of malaria and other vector-borne diseases.

Frank Mechan, Zikmund Bartonicek, David Malone, Rosemary Susan Lees

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Malaria journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05893134 (Identification of Risk Determinants of Dengue Transmission Through Landscape Analysis in the Neighborhood "El Vergel", Tapachula, Chiapas), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
11.6field-weighted citation impact, top 1% 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.

NCT05893134 completednot on this map

Identification of Risk Determinants of Dengue Transmission Through Landscape Analysis in the Neighborhood "El Vergel", Tapachula, Chiapas

TypeobservationalSponsorInstituto Mexicano del Seguro SocialRan2023 to 2024Enrolled196ConditionsDengueArmsRisk Assessment
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
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

4 authors at 2 institutions in 2 countries.

Frank MechanDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK.
Zikmund BartonicekInnovative Vector Control Consortium (IVCC), Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK.
David MaloneBill and Melinda Gates Foundation (BMGF), 500 5th Ave N, Seattle, WA, 98109, USA.
Rosemary Susan LeesDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK. Rosemary.Lees@lstmed.ac.uk.ORCID http://orcid.org/0000-0002-4232-9125
Liverpool School of Tropical Medicine · GBGates Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of Unmanned Aerial Vehicles (UAVs) has expanded rapidly in ecological conservation and agriculture, with a growing literature describing their potential applications in global health efforts including vector control. Vector-borne diseases carry severe public health and economic impacts to over half of the global population yet conventional approaches to the surveillance and treatment of vector habitats is typically laborious and slow. The high mobility of UAVs allows them to reach remote areas that might otherwise be inaccessible to ground-based teams. Given the rapidly expanding examples of these tools in vector control programmes, there is a need to establish the current knowledge base of applications for UAVs in this context and assess the strengths and challenges compared to conventional methodologies. This review aims to summarize the currently available knowledge on the capabilities of UAVs in both malaria control and in vector control more broadly in cases where the technology could be readily adapted to malaria vectors. This review will cover the current use of UAVs in vector habitat surveillance and deployment of control payloads, in comparison with their existing conventional approaches. Finally, this review will highlight the logistical and regulatory challenges in scaling up the use of UAVs in malaria control programmes and highlight potential future developments.

Indexed as

MalariaUnmanned Aerial DevicesAgricultureEcosystemHumansTechnologyDronesMosquito controlPublic healthSurveillanceUnmanned aerial system (UAS)Unmanned aerial vehicle (UAV)Vector-borne diseases

Identifiers

PMID36670398
PMCPMC9854044
OpenAlexW4317583970

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.