Evidence map›Paper›PMID 39384402›Full record

ArticleTobacco control2026

The African cigarette price data landscape: an overview of gaps and opportunities.

Samantha Filby

Abstract read
In one paragraph

Article in Tobacco control, 2026. 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. 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

1 author.

Samantha FilbyResearch Unit on the Economics of Excisable Products, School of Economics, University of Cape Town, Cape Town, Western Cape, South Africa samantha.filby@uct.ac.za.ORCID 0000-0001-6371-6522

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAfrica has the lowest cigarette taxes of any region. Price data are needed to produce evidence that informs tax policy change.

objectiveTo locate and describe datasets that provide information on cigarette prices in African countries and to identify opportunities for expanding the region's cigarette price information base.

methodsThree data repositories and relevant literature were searched to locate free datasets that provide cigarette prices for African countries. 13 categories of information were extracted from each dataset, including the type of data collected (self-reported vs observational). The number of outliers and summary statistics, for the price of 20 cigarette sticks, was calculated using the most recent data available from each data collection project identified in a country. T-tests were conducted to compare these statistics for the 14 countries with both self-reported and observational price data available.

resultsA total of 131 datasets, covering 39/47 African countries, contain information on cigarette prices. Most datasets (N=111/131) provide self-reported information. Only 11 countries have used the three large-scale surveys that repeatedly collect information on smoking behaviour across Africa (Multiple Indicator Cluster Survey, Demographic and Health Survey and STEPwise) to collect information on cigarette prices. No active projects that collect self-reported price data sample from the youth (aged<15). Prices collected through retail observations exhibit fewer outliers than self-reported prices (p<0.05).

conclusionThe tobacco-control community should lead the process of using existing data collection efforts to enhance Africa's cigarette price information base. Increasing observational data collection efforts at retailers could improve our understanding of the prices paid for cigarettes in the region.

Indexed as

CommerceSmokingTaxesTobacco ProductsAfricaHumansEconomicsPricePublic policyTaxation

Identifiers

PMID39384402
PMCPMC12911646

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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.