Evidence map›Paper›PMID 41214176›Full record

ArticleScientific reports2025

A comprehensive descriptive, predictive, and prescriptive analysis of antibiotic products' demand pre-, amid, and post-COVID-19 in Iran.

Mohadese Zalpooli, Arash Nemati

Abstract read
In one paragraph

Article in Scientific reports, 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.

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

2 authors.

Mohadese ZalpooliHealthcare Systems Engineering Group, Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol City, Mazandaran Province, 47148-71167, Iran.
Arash NematiDepartment of Mathematics, Babol Noshirvani University of Technology, Babol City, Mazandaran Province, 47148-71167, Iran. r.nemati@nit.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 has affected healthcare businesses such as medicine and face mask distribution networks, particularly the antibiotics distribution sector, because antibiotics significantly combat infections during COVID-19. Hence, re-coordinating the antibiotics supply chain according to changes in antibiotic consumption rates is crucial post-COVID-19 to avoid shortages and the perishing of antibiotics. This paper proposes a data analytical approach to investigate the antibiotics demand fluctuations before, during, and after COVID-19 using several descriptive, predictive, and prescriptive analyses, including a graphical trend study, descriptive statistics, two-sample mean hypothesis test, Analysis of Variance (ANOVA), time series machine learning forecasters, and Pareto analysis. The proposed data analytical approach is employed to analyze the consumption rate of the 73 popular antibiotic products belonging to the top-11 list of antibiotics in Iran, including Amoxicillin, Co-amoxiclav, Azithromycin, Cefalexin, Cefixime, Ciprofloxacin, Clindamycin, Doxycycline, Levofloxacin, Metronidazole, and Penicillin. The consumption volume and Doses used by 1000 Inhabitants per Day (DID) are collected for ten years, from 2013 to 2023, in a data set of size 3582. The results showed the considerable impacts of COVID-19 on the consumption trend of Amoxicillin and Azithromycin, a decline in Penicillin parental consumption in 2021 due to COVID-19 vaccination, and a higher share of parental Levofloxacin during COVID-19. In addition, several prescriptive analyses are proposed.

Indexed as

Anti-Bacterial AgentsCOVID-19COVID-19 Drug TreatmentHumansIranSARS-CoV-2Anti-Bacterial AgentsAntibioticsCOVID-19 impactsDemand fluctuationsHealthcare data analyticsPrescriptive analysisPublic health

Identifiers

PMID41214176
PMCPMC12603236

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