Evidence map›Paper›PMID 37878175›Full record

ArticleEnvironmental science and pollution research international2025

Smart waste bin monitoring using IoT for sustainable biomedical waste management.

Aliyu Ishaq, Shamsuddeen Jumande Mohammad, Al-Amin Danladi Bello, Surajo Abubakar Wada, Adejimi Adebayo, Zainab Toyin Jagun

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Aliyu IshaqDepartment of Water & Environmental Engineering, School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81300, Bahru, Johor, Malaysia.
Shamsuddeen Jumande MohammadDepartment of Water Resources and Environmental Engineering, Ahmadu Bello University, Zaria, Nigeria.
Al-Amin Danladi BelloDepartment of Water Resources and Environmental Engineering, Ahmadu Bello University, Zaria, Nigeria.
Surajo Abubakar WadaDepartment of Civil Engineering, Ahmadu Bello University, Zaria, Nigeria.
Adejimi AdebayoDepartment of Real Estate, School of Built Environment Engineering and Computing, Leeds Beckett University, City Campus Leeds, Leeds, UK.
Zainab Toyin JagunDepartment of Real Estate, School of Built Environment Engineering and Computing, Leeds Beckett University, City Campus Leeds, Leeds, UK. z.t.jagun@leedsbeckett.ac.uk.ORCID http://orcid.org/0000-0002-7441-7138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suboptimal management of healthcare waste poses a significant concern that can be effectively tackled by implementing Internet of Things (IoT) solutions to enhance trash monitoring and disposal processes. The potential utilisation of the Internet of Things (IoT) in addressing the requirements associated with biomedical waste management within the Kaduna area was examined. The study included a selection of ten hospitals, chosen based on the criterion of having access to wireless Internet connectivity. The issue of biomedical waste is significant within the healthcare sector since it accounts for a considerable amount of overall waste generation, with estimates ranging from 43.62 to 52.47% across various facilities. Utilisation of (IoT) sensors resulted in the activation of alarms and messages to facilitate the prompt collection of waste. Data collected from these sensors was subjected to analysis to discover patterns and enhance the overall efficiency of waste management practices. The study revealed a positive correlation between the quantity of hospital beds and the daily garbage generated. Notably, hospitals with a higher number of beds were observed to generate a much greater amount of waste per bed. Hazardous waste generated varies by hospital, with one hospital leading in sharps waste (10.98 kgd

Indexed as

Internet of ThingsMedical WasteMedical Waste DisposalWaste ManagementHospitalsMedical WasteMedical Waste DisposalBiomedical wasteInternet of ThingsMonitoringSmart waste binSustainableWaste management

Identifiers

PMID37878175
PMCPMC12402040

What OpenQuestion holds

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LicenceCC BY
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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.