Evidence map›Paper›PMID 38867753›Full record

ReviewNigerian medical journal : journal of the Nigeria Medical Association

Epidemiological Pattern of Rubella in Africa: A Review of Selected Sub-Saharan African Countries.

Kabir Adekunle Durowade

Abstract readReview
In one paragraph

Review in Nigerian medical journal : journal of the Nigeria Medical Association. 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.

Kabir Adekunle DurowadeDepartment of Community Medicine, Afe Babalola University, Ado-Ekiti, Nigeria and Federal Teaching Hospital, Ido-Ekiti, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rubella, (German measles) is vaccine-preventable and a viral disease of public health importance. It presents with mild febrile rash illness, attendant congenital sequel and foetal death. This paper seeks to do a review of the epidemiology of rubella in selected sub-Saharan African countries. This is a review of literatures involving data triangulation of rubella surveillance data. World Health Organization (WHO)rubella surveillance data (2015-2018) available online was used to present the seasonal/time-variation. Data was extracted from the site into Microsoft Excel over three months period (October-December, 2018). Univariate data analysis was done using SPSS-23 and data were presented with appropriate tables and charts to show the trend. Epidemiologic findings showed that periodicity of rubella varies across countries in Africa with seasonal variation across the four sub-regions. In the West Africa sub-region, sharp increases occurred in reported cases in January with peaks in March-April. In Nigeria, a West African country, available data showed that seasonal peak occurs in the first four months (Jan-April) of the year with most of the burden among those below fifteen years of age, affects both sexes and incidence cuts across both rural and urban areas. However, in the Central sub-region, spikes generally occur between February and March with troughs in September to November. In the East sub-region, dual peaks occur in March-April and in September-October; in the South sub-region, unique annual seasonality with few cases reported in January-June each year. The peak incidence of rubella has been observed to be a function of the seasonal peaks/variation in Africa. Therefore, the knowledge of this seasonal variation can be leveraged upon by Governments to control the disease through scaling up of awareness creation and surveillance during the identified peaks and beyond.

Indexed as

EpidemiologyRubellaSub-Saharan Africa

Identifiers

PMID38867753
PMCPMC11165323

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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.