Evidence map›Paper›PMID 35284881›Full record

ArticleCurrent research in parasitology & vector-borne diseases2021

VectorMap-GR: A local scale operational management tool for entomological monitoring, to support vector control activities in Greece and the Mediterranean Basin.

Emmanouil A Fotakis, Manolis Orfanos, Thodoris Kouleris, Panagiotis Stamatelopoulos, Zisis Tsiropoulos, Anastasia Kampouraki, Ilias Kioulos, Konstantinos Mavridis, Alexandra Chaskopoulou, George Koliopoulos and 1 more

Abstract read
In one paragraph

Article in Current research in parasitology & vector-borne diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Characterizing the Vector Data Ecosystem.Journal of medical entomology · 2023
    Article
  3. 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

11 authors.

Emmanouil A FotakisInstitute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, Heraklion, Greece.
Manolis OrfanosAGENSO, Agricultural and Environmental Solutions, Athens, Greece.
Thodoris KoulerisAGENSO, Agricultural and Environmental Solutions, Athens, Greece.
Panagiotis StamatelopoulosAGENSO, Agricultural and Environmental Solutions, Athens, Greece.
Zisis TsiropoulosAGENSO, Agricultural and Environmental Solutions, Athens, Greece.
Anastasia KampourakiPesticide Science Laboratory, Department of Crop Science, Agricultural University of Athens, Athens, Greece.
Ilias KioulosPesticide Science Laboratory, Department of Crop Science, Agricultural University of Athens, Athens, Greece.
Konstantinos MavridisInstitute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, Heraklion, Greece.
Alexandra ChaskopoulouUSDA-ARS European Biological Control Laboratory, Thessaloniki, Greece.
George KoliopoulosLaboratory of Agricultural Zoology and Entomology, Department of Crop Science, Agricultural University of Athens, Athens, Greece.
John VontasInstitute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, Heraklion, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decade, Greece and other Mediterranean countries have witnessed the emergence and resurgence of several vector-borne diseases (VBDs), posing important public health challenges and threatening the tourist industry. An essential prerequisite for the design and execution of efficient and sustainable context-specific VBD control programmes is the establishment of integrative entomological and epidemiological surveillance systems. However, the monitoring and management of surveillance datasets (often chronologically fragmented, scattered in regional health district offices and partially accessible upon requisition), as well as their transformation into actionable information, is a complex undertaking. In light of aiding and optimizing vector control efforts in the Mediterranean Basin, we developed VectorMap-GR, an online, open access, operational management tool for entomological and complementary epidemiological monitoring data. The tool's key components are a set of controlled vocabularies (ontologies) running throughout the system, the system's database and a map interface for data querying and display. The tool supports transformation of raw data into operationally relevant information (i.e. customized maps, charts, tables and reports) in a highly interactive fashion achieved through query filters and the ArcGIS technology embedded in the system. End-users may search for and obtain information on (i) the mosquito fauna composition, abundance and spatiotemporal dynamics; (ii) the mosquito insecticide resistance status and underlying resistance mechanisms; (iii) the occurrence of VBD pathogens and infections in vectors, animals and humans; and (iv) operationally relevant physical feature georeferenced datasets (e.g. mosquito breeding sites). VectorMap-GR was pilot implemented during 2018-2020 in a mosquito control programme in the Region of Crete (southern Greece). The programme's control efforts coupled with VectorMap-GR pilot implementation phase, very likely contributed to the reduction of vector population numbers and the prevention of human VBD occurrences, recorded in this period.

Indexed as

GreeceInformation technologyMediterranean BasinOperational management toolSurveillanceVector control

Identifiers

PMID35284881
PMCPMC8906066

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.