ArticleThe Pan African medical journal2019
Measles outbreaks and Supplemental Immunization Activities (SIAs): the Gwagwalada experience, Abuja 2015.
Article in The Pan African medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Measles Outbreak Investigation in Aneded District, Northwest Ethiopia: A Case-Control Study.Journal of epidemiology and global health · 2024Article
- An evaluation of the clinical features of measles virus infection for diagnosis in children within a limited resources setting.BMC pediatrics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIn November 2015 a measles outbreak was detected in several clustered settlements during the Northern Measles Supplementary Immunization Activities (SIAs) campaign in Gwagwalada, Nigeria, a measles outbreak was detected. Six weeks later another outbreak with 17 cases was reported in a different settlement in the same area council in December 2015 and January 2016. An outbreak investigation was initiated to characterize the outbreak in terms of time and person and implement prevention and control measures.
methodsSuspected cases were defined as any person in Gwagwalada with onset of fever and rash between 1st November 2015 and 12th January 2016. Probable cases were defined as suspected cases with 3 days of rash or known exposure to someone with laboratory-confirmed measles. Confirmed case patients were defined as suspected or probable cases with Koplik spots or positive titer for immunoglobulin (Ig) M antibody. We conducted house to house case search, contact tracing and reviewed hospital records at the health facilities to determine the socio-demographic characteristics, clinical presentation and vaccination status of the cases.
resultsActive case search between November 2015 and January 2016 as well as record review from January 2015 to January 2016 showed that there were 109 suspected and 10 confirmed case patients. We identified 66 cases during the first reported outbreak with a case fatality rate of 6% (4 deaths) while 17 cases were identified 6 weeks later. The epidemic curve indicated a person-to-person transmission.
conclusionThere had been cases of measles from January 2015 to November 2015 prior to the reported measles outbreak. However there was an unusual increase in the number of measles cases during the measles SIAs in communities where children were missed. Vaccination of all eligible children in the affected wards was carried out. The area council authorities and primary healthcare team need to create awareness on the importance of measles vaccination and ensure that these communities are targeted and covered during subsequent SIAs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.