Evidence map›Paper›PMID 32539691›Full record

ArticleBMC public health2020

Trends in measles cases in Bayelsa state, Nigeria: a five-year review of case-based surveillance data (2014-2018).

Neni Aworabhi-Oki, T Numbere, M S Balogun, A Usman, R Utulu, N Ebere, W Omubo, J Stow, S Abba, A Olorukooba

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 2 institutions in 1 country.

Neni Aworabhi-OkiNigeria Field Epidemiology and Laboratory Training Program, Asokoro, Abuja, Nigeria. neniaworabhioki@gmail.com.ORCID http://orcid.org/0000-0001-9589-8690
T NumbereNigeria Field Epidemiology and Laboratory Training Program, Asokoro, Abuja, Nigeria.
M S BalogunNigeria Field Epidemiology and Laboratory Training Program, Asokoro, Abuja, Nigeria.
A UsmanNigeria Field Epidemiology and Laboratory Training Program, Asokoro, Abuja, Nigeria.
R UtuluNigeria Field Epidemiology and Laboratory Training Program, Asokoro, Abuja, Nigeria.
N EbereNigeria Field Epidemiology and Laboratory Training Program, Asokoro, Abuja, Nigeria.
W OmuboBayelsa State Ministry of Health, Yenagoa, Nigeria.
J StowBayelsa State Ministry of Health, Yenagoa, Nigeria.
S AbbaNigeria Field Epidemiology and Laboratory Training Program, Asokoro, Abuja, Nigeria.
A OlorukoobaAhmadu Bello University, Zaria, Nigeria.
African Field Epidemiology Network · NGAhmadu Bello University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasles is a vaccine preventable, highly transmissible viral infection that affects mostly children under five years. It has been ear marked for elimination and Nigeria adopted the measles elimination strategies of the World Health Organization (WHO) African region to reduce cases and deaths. This study was done to determine trends in measles cases in Bayelsa state, to describe cases in terms of person and place, identify gaps in the case-based surveillance data collection system and identify risk factors for measles infection.

methodsWe carried out a secondary data analysis of measles case-based surveillance data for the period of January 2014 to December 2018 obtained in Microsoft Excel from the State Ministry of Health. Cases were defined according to WHO standard case definitions. We calculated frequencies, proportions, estimated odds ratios (OR), 95% confidence intervals (CI) and multivariate analysis.

resultsA total of 449 cases of measles were reported. There were 245(54.6%) males and the most affected age group was 1-4 years with 288(64.1%) cases. Of all cases, 289(9.35%) were confirmed and 70 (48.27%) had received at least one dose of measles vaccine. There was an all-year transmission with increased cases in the 4th quarter of the year. Yenegoa local government area had the highest number of cases. Timeliness of specimen reaching the laboratory and the proportion of specimens received at the laboratory with results sent to the national level timely were below WHO recommended 80% respectively. Predictors of measles infection were, age less than 5 years (AOR: 0.57, 95% CI: 0.36-0.91) and residing in an urban area (AOR: 1.55, 95% CI:1.02-2.34).

conclusionsMeasles infection occurred all-year round, with children less than 5 years being more affected. Measles case-based surveillance system showed high levels of case investigation with poor data quality and poor but improving indicators. Being less than 5 years was protective of measles while living in urban areas increased risk for infection. We recommended to the state government to prioritize immunization activities in the urban centers, start campaigns by the 4th quarter and continue to support measles surveillance activities and the federal government to strengthen regional laboratory capacities.

Indexed as

AdolescentChildChild, PreschoolDelivery of Health CareFemaleForecastingHumansIncidenceInfantMaleMeaslesMeasles VaccineNigeriaPopulation SurveillancePrevalenceQuality Indicators, Health CareMeasles VaccineMeaslesNigeriaPredictorsSurveillanceTrendVaccination

Identifiers

PMID32539691
PMCPMC7296655
OpenAlexW3034745070

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.