» Articles » PMID: 36324089

Understanding the Rural-urban Disparity in Acute Respiratory Infection Symptoms Among Under-five Children in Sub-Saharan Africa: a Multivariate Decomposition Analysis

Abstract

Background: Acute Respiratory Infections (ARIs) account for more than 6% of the worldwide disease burden in children under the age of five, with the majority occurring in Sub-Saharan Africa. Rural children are more vulnerable to and disproportionately affected by ARIs. As a result, we examined the rural-urban disparity in the prevalence of ARI symptoms and associated factors among children under the age of five in Sub-Saharan Africa.

Methods: We used the most recent Demographic and Health Survey (DHS) data from 36 countries in Sub-Saharan Africa. The study included 199,130 weighted samples in total. To identify variables associated with ARIs symptoms, a multilevel binary logistic regression model was fitted. The Adjusted Odds Ratio (AOR) with a 95% CI was used to determine the statistical significance and strength of the association. To explain the rural-urban disparity in ARI prevalence, a logit-based multivariate decomposition analysis was used.

Results: Being female, ever breastfeeding, belonging to a poorer, better wealth status, and having better maternal educational status were significantly associated with lower odds of ARIs among under-five children. Whereas, small size or large size at birth, not taking vitamin A supplementation, being severely underweight, having diarrhea, didn't have media exposure, never had the vaccination, being aged 36-47 months, and being aged 48-59 months were significantly associated with higher odds of ARIs among under-five children. The multivariate decomposition analysis revealed that the difference in characteristics (endowment) across residences explained 64.7% of the overall rural-urban difference in the prevalence of ARIs, while the difference in the effect of characteristics (change in coefficient) explained 35.3%.

Conclusion: This study found that rural children were highly affected by ARIs in SSA. To reduce the excess ARIs in rural children, public health interventions aimed at impoverished households, home births, and unvaccinated and malnourished children are crucial.

Citing Articles

Exploring machine learning algorithms to predict acute respiratory tract infection and identify its determinants among children under five in Sub-Saharan Africa.

Yehuala T, Fente B, Maru Wubante S, Derseh N Front Pediatr. 2024; 12:1388820.

PMID: 39633817 PMC: 11614669. DOI: 10.3389/fped.2024.1388820.


Health-related quality of life in children with presumptive TB.

Anthony M, Johnson L, van Niekerk M, Mfwaze A, Bavuma B, Hesseling A IJTLD Open. 2024; 1(11):495-500.

PMID: 39544879 PMC: 11558787. DOI: 10.5588/ijtldopen.24.0355.


Interpretable prediction of acute respiratory infection disease among under-five children in Ethiopia using ensemble machine learning and Shapley additive explanations (SHAP).

Tadese Z, Hailu D, Wubete Abebe A, Kebede S, Walle A, Seifu B Digit Health. 2024; 10:20552076241272739.

PMID: 39114117 PMC: 11304488. DOI: 10.1177/20552076241272739.


Impact of climate change on paediatric respiratory health: pollutants and aeroallergens.

Domingo K, Gabaldon K, Hussari M, Yap J, Valmadrid L, Robinson K Eur Respir Rev. 2024; 33(172).

PMID: 39009406 PMC: 11262702. DOI: 10.1183/16000617.0249-2023.


Machine learning algorithms to predict healthcare-seeking behaviors of mothers for acute respiratory infections and their determinants among children under five in sub-Saharan Africa.

Yehuala T, Agimas M, Derseh N, Maru Wubante S, Fente B, Yismaw G Front Public Health. 2024; 12:1362392.

PMID: 38962762 PMC: 11220189. DOI: 10.3389/fpubh.2024.1362392.


References
1.
Girard M, Cherian T, Pervikov Y, Kieny M . A review of vaccine research and development: human acute respiratory infections. Vaccine. 2005; 23(50):5708-24. PMC: 7130922. DOI: 10.1016/j.vaccine.2005.07.046. View

2.
Tazinya A, Halle-Ekane G, Mbuagbaw L, Abanda M, Atashili J, Obama M . Risk factors for acute respiratory infections in children under five years attending the Bamenda Regional Hospital in Cameroon. BMC Pulm Med. 2018; 18(1):7. PMC: 5771025. DOI: 10.1186/s12890-018-0579-7. View

3.
Pandolfi E, Gesualdo F, Rizzo C, Carloni E, Villani A, Concato C . Breastfeeding and Respiratory Infections in the First 6 Months of Life: A Case Control Study. Front Pediatr. 2019; 7:152. PMC: 6492465. DOI: 10.3389/fped.2019.00152. View

4.
Cashat-Cruz M, Morales-Aguirre J, Mendoza-Azpiri M . Respiratory tract infections in children in developing countries. Semin Pediatr Infect Dis. 2005; 16(2):84-92. DOI: 10.1053/j.spid.2005.12.005. View

5.
Akinyemi J, Morakinyo O . Household environment and symptoms of childhood acute respiratory tract infections in Nigeria, 2003-2013: a decade of progress and stagnation. BMC Infect Dis. 2018; 18(1):296. PMC: 6029367. DOI: 10.1186/s12879-018-3207-5. View