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Tiruneh MG, Jejaw M, Demissie KA, Tafere TZ, Geberu DM, Hagos A, Baffa LD, Teshale G. Multilevel analysis of healthcare utilization for childhood diarrhea in high under five mortality countries. Sci Rep 2024; 14:15375. [PMID: 38965273 PMCID: PMC11224276 DOI: 10.1038/s41598-024-65860-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 06/25/2024] [Indexed: 07/06/2024] Open
Abstract
Globally, 4.9 million under-five deaths occurred before celebrating their fifth birthday. Four in five under-five deaths were recorded in sub-Saharan Africa and Southern Asia. Childhood diarrhea is one of the leading causes of death and is accountable for killing around 443,832 children every year. Despite healthcare utilization for childhood diarrhea has a significant effect on the reduction of childhood mortality and morbidity, most children die due to delays in seeking healthcare. Therefore, this study aimed to assess healthcare utilization for childhood diarrhea in the top high under-five mortality countries. This study used secondary data from 2013/14 to 2019 demographic and health surveys of 4 top high under-five mortality countries. A total weighted sample of 7254 mothers of under-five children was included. A multilevel binary logistic regression was employed to identify the associated factors of healthcare utilization for childhood diarrhea. The statistical significance was declared at a p-value less than 0.05 with a 95% confidence interval. The overall magnitude of healthcare utilization for childhood diarrhea in the top high under-five mortality countries was 58.40% (95% CI 57.26%, 59.53%). Partner/husband educational status, household wealth index, media exposure, information about oral rehydration, and place of delivery were the positive while the number of living children were the negative predictors of healthcare utilization for childhood diarrhea in top high under-five mortality countries. Besides, living in different countries compared to Guinea was also an associated factor for healthcare utilization for childhood diarrhea. More than four in ten children didn't receive health care for childhood diarrhea in top high under-five mortality countries. Thus, to increase healthcare utilization for childhood diarrhea, health managers and policymakers should develop strategies to improve the household wealth status for those with poor household wealth index. The decision-makers and program planners should also work on media exposure and increase access to education. Further research including the perceived severity of illness and ORS knowledge-related factors of healthcare utilization for childhood diarrhea should also be considered by other researchers.
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Affiliation(s)
- Misganaw Guadie Tiruneh
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, P.O. BOX 196, Gondar, Ethiopia.
| | - Melak Jejaw
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, P.O. BOX 196, Gondar, Ethiopia
| | - Kaleb Assegid Demissie
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, P.O. BOX 196, Gondar, Ethiopia
| | - Tesfahun Zemene Tafere
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, P.O. BOX 196, Gondar, Ethiopia
| | - Demiss Mulatu Geberu
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, P.O. BOX 196, Gondar, Ethiopia
| | - Asebe Hagos
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, P.O. BOX 196, Gondar, Ethiopia
| | - Lemlem Daniel Baffa
- Department of Human Nutrition, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Getachew Teshale
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, P.O. BOX 196, Gondar, Ethiopia
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Akano A, Sadauki AH, Adelabu AM, Malgwi A, Fagbola M, Ogunbode O, Usman A, Ameh C, Balogun MS, Ilori E, Badaru S, Adetunji A, Adebayo A, Mba N, Iniobong A, Eze E, Akerele I, Grema B, Sodipo O, Enemuo E, Ochu C, Ihekweazu C, Adetifa I. Epidemiology of influenza in Nigeria: A secondary analysis of the sentinel surveillance data in Nigeria from 2010 - 2020. J Infect Public Health 2024; 17:495-502. [PMID: 38290192 DOI: 10.1016/j.jiph.2023.12.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 12/22/2023] [Accepted: 12/28/2023] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND Influenza is a leading cause of morbidity and mortality globally. Little is known of the true burden and epidemiology of influenza in Africa. Nigeria has a sentinel surveillance system for influenza virus (IFV). This study seeks to describe the epidemiological characteristics of influenza cases in Nigeria through secondary data analysis of the sentinel surveillance data from 2010 to 2020. METHODOLOGY A retrospective secondary data analysis of data collected from patients with influenza-like illness (ILI) and severe acute respiratory infection (SARI) in the four Nigeria Influenza Sentinel Surveillance sites from January 2010 to December 2020. Data was cleaned and analyzed using Microsoft Excel and Epi info 7.2 for frequencies and proportions. The results of the analysis were summarized in tables and charts. RESULTS A total of 13,828 suspected cases of influenza were recorded at the sentinel sites during the study period. About 10.3% (1421/13,828) of these tested positive for IFV of which 1243 (87.5%) were ILI patients, 175 (12.3%) SARI patients, and 3 (0.2%) novel H1N1 patients. Males accounted for 54.2% (770/1421) of the confirmed cases. The median age of confirmed cases was 3 years (range: <1month-97 years). Children 0-4 years accounted for 69.3% (985/1421) of all cases. The predominant subtypes were B lineage not determined (32.3%), A/H1N1 pdm09 (28.8%) and A/H3 (23.0%). There were periods of sustained transmission in most years with 2011 having the highest number of cases. Overall, there were more cases around January to March and August to November. Heart disease and chronic shortness of breath were the most common co-morbidities identified among confirmed cases. CONCLUSION Influenza remains a significant cause of respiratory illness, especially among children aged less than 4 years. Influenza cases occur all year round with irregular seasonality in Nigeria. Children less than 4 years and those with co-morbidities should be prioritized for vaccination. Vaccine composition in the country should take cognizance of the prevailing strains which are type B (lineage not determined), A/H1N1 pdm09 and A/H3.
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Affiliation(s)
- Adejoke Akano
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria; Nigeria Field Epidemiology and Laboratory Training Programme, Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria.
| | - Aisha Habib Sadauki
- Nigeria Field Epidemiology and Laboratory Training Programme, Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Adeyemi Mark Adelabu
- Nigeria Field Epidemiology and Laboratory Training Programme, Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Arhyel Malgwi
- Nigeria Field Epidemiology and Laboratory Training Programme, Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Motunrayo Fagbola
- Nigeria Field Epidemiology and Laboratory Training Programme, Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Oladipo Ogunbode
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | | | | | | | - Elsie Ilori
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Sikiru Badaru
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Adewusi Adetunji
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Adedeji Adebayo
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Nwando Mba
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Akanimo Iniobong
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Emmanuel Eze
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | | | | | | | - Emeka Enemuo
- Nnamdi Azikiwe University Teaching Hospital, Nnewi, Anambra, Nigeria
| | - Chinwe Ochu
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Chikwe Ihekweazu
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Ifedayo Adetifa
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
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