Evidence map›Paper›PMID 37867863›Full record

ArticleHeliyon2023

Inventing a robust road-vehicle flood level monitoring device for disaster mitigation.

Uzoma Ifeanyi Oduah, Christopher M Anierobi, Olufemi G Ilori

Abstract read
In one paragraph

Article in Heliyon, 2023. 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

3 authors.

Uzoma Ifeanyi OduahDepartment of Physics, University of Lagos, Nigeria.
Christopher M AnierobiDepartment of Urban and Regional Planning, University of Nigeria, Nsukka, Enugu Campus, Nigeria.
Olufemi G IloriDepartment of Physics, University of Lagos, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flooding impedes road utility and the frequency has increased across countries of the world owing to global climate change phenomena. Global road flooding casualties have risen from 371,800 in 2015 to 842,000 in 2017 resulting to economic losses valued at approximately US$71 billion. Existing devices that offer warning signals on safe threshold during flooding are predictive in nature and based on complex technologies that are cumbersome and rather expensive thereby affecting the attractiveness to low-economy societies of developing countries. There is therefore a dare need for better inventions towards greater mitigation. This paper presents an adaptive, affordable, robust, efficient and effective road vehicle flood level monitoring device for detecting rising flood on roads above a user defined safe threshold to mitigate road flooding disasters. The device operates on the principle of level conductivity sensor. The developed device offers interoperability with Google map enabling the level of flood on road to be accessed by road users online when fully commercialized. By this, road users are aware of the dangerous levels of flood to enable them use alternative routes. The study therefore recommends for adoption of mandatory inclusion of this invention on roads towards averting the usual road flooding hazard in Africa.

Indexed as

FloodFlood level monitoringRoad floodingRoad vehicle safetyWater sensor-probe

Identifiers

PMID37867863
PMCPMC10589859

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.