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

Abstract Background Measles 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 case...

Full description

Bibliographic Details
Main Authors: Neni Aworabhi-Oki, T. Numbere, M. S. Balogun, A. Usman, R. Utulu, N. Ebere, W. Omubo, J. Stow, S. Abba, A. Olorukooba
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-020-09070-0
id doaj-ff058b84899d4dd2858913bb04df805e
record_format Article
spelling doaj-ff058b84899d4dd2858913bb04df805e2020-11-25T02:25:03ZengBMCBMC Public Health1471-24582020-06-012011910.1186/s12889-020-09070-0Trends in measles cases in Bayelsa state, Nigeria: a five-year review of case-based surveillance data (2014–2018)Neni Aworabhi-Oki0T. Numbere1M. S. Balogun2A. Usman3R. Utulu4N. Ebere5W. Omubo6J. Stow7S. Abba8A. Olorukooba9Nigeria Field Epidemiology and Laboratory Training Program, AsokoroNigeria Field Epidemiology and Laboratory Training Program, AsokoroNigeria Field Epidemiology and Laboratory Training Program, AsokoroNigeria Field Epidemiology and Laboratory Training Program, AsokoroNigeria Field Epidemiology and Laboratory Training Program, AsokoroNigeria Field Epidemiology and Laboratory Training Program, AsokoroBayelsa State Ministry of HealthBayelsa State Ministry of HealthNigeria Field Epidemiology and Laboratory Training Program, AsokoroAhmadu Bello UniversityAbstract Background Measles 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. Methods We 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. Results A 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). Conclusions Measles 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.http://link.springer.com/article/10.1186/s12889-020-09070-0MeaslesSurveillanceVaccinationNigeriaTrendPredictors
collection DOAJ
language English
format Article
sources DOAJ
author Neni Aworabhi-Oki
T. Numbere
M. S. Balogun
A. Usman
R. Utulu
N. Ebere
W. Omubo
J. Stow
S. Abba
A. Olorukooba
spellingShingle Neni Aworabhi-Oki
T. Numbere
M. S. Balogun
A. Usman
R. Utulu
N. Ebere
W. Omubo
J. Stow
S. Abba
A. Olorukooba
Trends in measles cases in Bayelsa state, Nigeria: a five-year review of case-based surveillance data (2014–2018)
BMC Public Health
Measles
Surveillance
Vaccination
Nigeria
Trend
Predictors
author_facet Neni Aworabhi-Oki
T. Numbere
M. S. Balogun
A. Usman
R. Utulu
N. Ebere
W. Omubo
J. Stow
S. Abba
A. Olorukooba
author_sort Neni Aworabhi-Oki
title Trends in measles cases in Bayelsa state, Nigeria: a five-year review of case-based surveillance data (2014–2018)
title_short Trends in measles cases in Bayelsa state, Nigeria: a five-year review of case-based surveillance data (2014–2018)
title_full Trends in measles cases in Bayelsa state, Nigeria: a five-year review of case-based surveillance data (2014–2018)
title_fullStr Trends in measles cases in Bayelsa state, Nigeria: a five-year review of case-based surveillance data (2014–2018)
title_full_unstemmed Trends in measles cases in Bayelsa state, Nigeria: a five-year review of case-based surveillance data (2014–2018)
title_sort trends in measles cases in bayelsa state, nigeria: a five-year review of case-based surveillance data (2014–2018)
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2020-06-01
description Abstract Background Measles 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. Methods We 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. Results A 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). Conclusions Measles 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.
topic Measles
Surveillance
Vaccination
Nigeria
Trend
Predictors
url http://link.springer.com/article/10.1186/s12889-020-09070-0
work_keys_str_mv AT neniaworabhioki trendsinmeaslescasesinbayelsastatenigeriaafiveyearreviewofcasebasedsurveillancedata20142018
AT tnumbere trendsinmeaslescasesinbayelsastatenigeriaafiveyearreviewofcasebasedsurveillancedata20142018
AT msbalogun trendsinmeaslescasesinbayelsastatenigeriaafiveyearreviewofcasebasedsurveillancedata20142018
AT ausman trendsinmeaslescasesinbayelsastatenigeriaafiveyearreviewofcasebasedsurveillancedata20142018
AT rutulu trendsinmeaslescasesinbayelsastatenigeriaafiveyearreviewofcasebasedsurveillancedata20142018
AT nebere trendsinmeaslescasesinbayelsastatenigeriaafiveyearreviewofcasebasedsurveillancedata20142018
AT womubo trendsinmeaslescasesinbayelsastatenigeriaafiveyearreviewofcasebasedsurveillancedata20142018
AT jstow trendsinmeaslescasesinbayelsastatenigeriaafiveyearreviewofcasebasedsurveillancedata20142018
AT sabba trendsinmeaslescasesinbayelsastatenigeriaafiveyearreviewofcasebasedsurveillancedata20142018
AT aolorukooba trendsinmeaslescasesinbayelsastatenigeriaafiveyearreviewofcasebasedsurveillancedata20142018
_version_ 1724853053550493696