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Factors associated with the risk of malaria among children: analysis of 2021 Nigeria Malaria Indicator Survey.
Isiko, Isaac; Nyegenye, Simon; Bett, Daniel Kiprotich; Asingwire, Jackson Micheal; Okoro, Lenz Nwachinemere; Emeribe, Nana Awaya; Koech, Catherine Chepkoskei; Ahgu, Ovye; Bulus, Naya Gadzama; Taremwa, Kelly; Mwesigwa, Aaron.
Afiliação
  • Isiko I; Department of Community Medicine, Institute of Nutrition and Public Health, Nims University, Jaipur, Rajasthan, India. isaacisiko12@gmail.com.
  • Nyegenye S; Department of Statistics and Applied Planning, School of Statistics and Planning, Makerere University, Kampala, Uganda.
  • Bett DK; Department of Radiation and Imaging Technology, Paramedical College, Nims University, Jaipur, Rajasthan, India.
  • Asingwire JM; Faculty of Pharmacy, Marwadi University, Rajkot, India.
  • Okoro LN; Department of Community Medicine, David Umahi Federal University Teaching Hospital, Uburu, Ebonyi State, Nigeria.
  • Emeribe NA; Department of Community Medicine, Jos University Teaching Hospital, Jos, Nigeria.
  • Koech CC; Department of Sociology and Anthropology, Maseno University, Kisumu, Kenya.
  • Ahgu O; Department of Public Health, Federal Medical Center, Keffi, Nigeria.
  • Bulus NG; Department of Community Medicine, College of Medical Sciences, Abubakar Tafawa Balewa University, Bauchi, Nigeria.
  • Taremwa K; School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
  • Mwesigwa A; Faculty of Pharmacy, Marwadi University, Rajkot, India.
Malar J ; 23(1): 109, 2024 Apr 17.
Article em En | MEDLINE | ID: mdl-38632581
ABSTRACT

BACKGROUND:

Malaria remains a burden globally, with the African region accounting for 94% of the overall disease burden and deaths in 2019. It is the major cause of morbidity and mortality among children in Nigeria. Though different environmental factors have been assessed to influence the distribution and transmission of malaria vectors, there is a shortage of information on how they may influence malaria transmission among under-fives in Nigeria.

METHODS:

This study was based on the secondary data analysis of the Nigeria Malaria Indicator Survey 2021. The study sample comprised 10,645 women (aged 15-49) who delivered a child in the 2 years preceding the survey. The study was restricted to under-fives. Logistic regression was used to identify factors associated with the risk of malaria.

RESULTS:

There was a positive association between the risk of malaria and heard/seen malaria messages in the last 6 months (AOR 1.39, 95% CI 1.19-1.62), houses with walls built using rudimentary materials (AOR = 1.38, 95% CI 1.04-1.83), at least 6 children living in the house (AOR 1.22, 95% CI 1.00-1.49), children being 1 or 2 years old was associated with increased odds (AOR 1.89, 95% CI 1.50-2.34 and AOR 1.89, 95% CI 1.52-2.36), children from households with only treated nets (AOR 1.23, 95% CI 1.04-1.46) and those from the North West or South East regions (AOR 1.50, 95% CI 1.10-2.05 and AOR 1.48, 95% CI 1.01-2.16), respectively. All other predictors were not associated with the risk of malaria.

CONCLUSION:

The factors associated with the risk of malaria in this study included sleeping under treated mosquito nets, the age of the children, residing in the northwest and southeast regions, wall construction material, 6 children and above in the household and hearing/seen malaria messages in the last 6 months. Continuous health education and public health interventions, such as the provision of LLITNs, will reduce the risk of malaria and improve the health and well-being of children under 5 years of age.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mosquiteiros Tratados com Inseticida / Malária Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mosquiteiros Tratados com Inseticida / Malária Idioma: En Ano de publicação: 2024 Tipo de documento: Article