Evidence map›Paper›PMID 35271089›Full record

ArticleSensors (Basel, Switzerland)2022

Temporal Monitoring and Predicting of the Abundance of Malaria Vectors Using Time Series Analysis of Remote Sensing Data through Google Earth Engine.

Fahimeh Youssefi, Mohammad Javad Valadan Zoej, Ahmad Ali Hanafi-Bojd, Alireza Borhani Dariane, Mehdi Khaki, Alireza Safdarinezhad, Ebrahim Ghaderpour

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Fahimeh YoussefiDepartment of Photogrammetry and Remote Sensing, K. N. Toosi University of Technology, Tehran 19967-15433, Iran.ORCID 0000-0002-7265-3866
Mohammad Javad Valadan ZoejDepartment of Photogrammetry and Remote Sensing, K. N. Toosi University of Technology, Tehran 19967-15433, Iran.ORCID 0000-0003-4325-8741
Ahmad Ali Hanafi-BojdDepartment of Medical Entomology & Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran 6446-14155, Iran.
Alireza Borhani DarianeDepartment of Civil Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran.
Mehdi KhakiSchool of Engineering, University of Newcastle, Callaghan, NSW 2308, Australia.ORCID 0000-0002-3718-2843
Alireza SafdarinezhadDepartment of Geodesy and Surveying Engineering, Tafresh University, Tafresh 79611-39518, Iran.ORCID 0000-0003-3512-4727
Ebrahim GhaderpourDepartment of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada.ORCID 0000-0002-5165-1773

Funding

Iran National Science Foundation 98018439
6 · The paper itself

Abstract

In many studies regarding the field of malaria, environmental factors have been acquired in single-time, multi-time or a short-time series using remote sensing and meteorological data. Selecting the best periods of the year to monitor the habitats of

Indexed as

AnophelesMalariaAnimalsMosquito VectorsRemote Sensing TechnologySearch EngineTime FactorsAnophelesclimateGoogle Earth Enginehydro-climate time seriesmalariaremote sensingtrend analysis

Identifiers

PMID35271089
PMCPMC8915056

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.