Evidence map›Paper›PMID 33668472›Full record

ArticleInternational journal of environmental research and public health2021

Towards a Semi-Automatic Early Warning System for Vector-Borne Diseases.

Panagiotis Pergantas, Nikos E Papanikolaou, Chrisovalantis Malesios, Andreas Tsatsaris, Marios Kondakis, Iokasti Perganta, Yiannis Tselentis, Nikos Demiris

Abstract read
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In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Panagiotis PergantasBioapplications Ltd., 30 Ioannou Perganta Str., 32100 Levadia, Greece.
Nikos E PapanikolaouLaboratory of Agricultural Zoology and Entomology, Department of Crop Science, Agricultural University of Athens, 75 Iera Odos Str., 11855 Athens, Greece.
Chrisovalantis MalesiosDepartment of Agricultural Economics and Rural Development, Agricultural University of Athens, 75 Iera Odos Str., 11855 Athens, Greece.ORCID 0000-0003-0378-3939
Andreas TsatsarisDepartment of Surveying and Geoinformatics Engineering, University of West Attica, 28 Ag. Spiridonos Str., 12243 Egaleo, Athens, Greece.ORCID 0000-0003-3509-6551
Marios KondakisDepartment of Statistics, Athens University of Economics and Business, 76 Patision Str., 10434 Athens, Greece.
Iokasti PergantaBioapplications Ltd., 30 Ioannou Perganta Str., 32100 Levadia, Greece.
Yiannis TselentisRegional Public Health Laboratory, Faculty of Medicine, University of Crete, 13 Andrea Kalokerinou Str., 71500 Giofirakia, Greece.
Nikos DemirisDepartment of Statistics, Athens University of Economics and Business, 76 Patision Str., 10434 Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence and spread of vector-borne diseases (VBDs) is a function of biotic, abiotic and socio-economic drivers of disease while their economic and societal burden depends upon a number of time-varying factors. This work is concerned with the development of an early warning system that can act as a predictive tool for public health preparedness and response. We employ a host-vector model that combines entomological (mosquito data), social (immigration rate, demographic data), environmental (temperature) and geographical data (risk areas). The output consists of appropriate maps depicting suitable risk measures such as the basic reproduction number,

Indexed as

Mosquito VectorsVector Borne DiseasesAnimalsBasic Reproduction NumberDisease VectorsRisk Factorsbasic reproduction numbermalariamosquitoes

Identifiers

PMID33668472
PMCPMC7918487

What OpenQuestion holds

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Registered trials

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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.