Skip to main content
Top
Published in: BMC Pediatrics 1/2022

Open Access 01-12-2022 | Malaria | Research

Shared component modelling of early childhood anaemia and malaria in Kenya, Malawi, Tanzania and Uganda

Authors: Danielle J. Roberts, Temesgen Zewotir

Published in: BMC Pediatrics | Issue 1/2022

Login to get access

Abstract

Background

Malaria and anaemia contribute substantially to child morbidity and mortality. In this study, we sought to jointly model the residual spatial variation in the likelihood of these two correlated diseases, while controlling for individual-level, household-level and environmental characteristics.

Methods

A child-level shared component model was utilised to partition shared and disease-specific district-level spatial effects.

Results

The results indicated that the spatial variation in the likelihood of malaria was more prominent compared to that of anaemia, for both the shared and specific spatial components. In addition, approximately 30% of the districts were associated with an increased likelihood of anaemia but a decreased likelihood of malaria. This suggests that there are other drivers of anaemia in children in these districts, which warrants further investigation.

Conclusions

The maps of the shared and disease-specific spatial patterns provide a tool to allow for more targeted action in malaria and anaemia control and prevention, as well as for the targeted allocation of limited district health system resources.
Appendix
Available only for authorised users
Literature
1.
go back to reference Kuziga F, Adoke Y, Wanyenze RK. Prevalence and factors associated with anaemia among children aged 6 to 59 months in Namutumba district, Uganda: a cross- sectional study. BMC Pediatr. 2017;17(1):25.CrossRefPubMedPubMedCentral Kuziga F, Adoke Y, Wanyenze RK. Prevalence and factors associated with anaemia among children aged 6 to 59 months in Namutumba district, Uganda: a cross- sectional study. BMC Pediatr. 2017;17(1):25.CrossRefPubMedPubMedCentral
5.
go back to reference Adebayo SB, Gayawan E, Heumann C, Seiler C. Joint modeling of Anaemia and Malaria in children under five in Nigeria. Spat Spatiotemporal Epidemiol. 2016;17:105–15.CrossRefPubMed Adebayo SB, Gayawan E, Heumann C, Seiler C. Joint modeling of Anaemia and Malaria in children under five in Nigeria. Spat Spatiotemporal Epidemiol. 2016;17:105–15.CrossRefPubMed
6.
go back to reference Seyoum S. Analysis of Prevalence of Malaria and Anemia Using Bivariate Probit Model. Ann Data Sci. 2018;5(2):301–12.CrossRef Seyoum S. Analysis of Prevalence of Malaria and Anemia Using Bivariate Probit Model. Ann Data Sci. 2018;5(2):301–12.CrossRef
7.
go back to reference Roberts DJ, Zewotir T. Copula geoadditive modelling of anaemia and malaria in young children in Kenya, Malawi, Tanzania and Uganda. J Health Popul Nutr. 2020;39(8):1–14. Roberts DJ, Zewotir T. Copula geoadditive modelling of anaemia and malaria in young children in Kenya, Malawi, Tanzania and Uganda. J Health Popul Nutr. 2020;39(8):1–14.
8.
go back to reference Mahaki B, Mehrabi Y, Kavousi A, Schmid V. Joint Spatio-Temporal Shared Component Model with an Application in Iran Cancer Data. Asian Pac J Cancer Prev. 2018;19(6):1553–60.PubMedPubMedCentral Mahaki B, Mehrabi Y, Kavousi A, Schmid V. Joint Spatio-Temporal Shared Component Model with an Application in Iran Cancer Data. Asian Pac J Cancer Prev. 2018;19(6):1553–60.PubMedPubMedCentral
9.
go back to reference Ayele D, Zewotir T, Mwambi H. Modelling the joint determinants of a positive malaria Rapid Diagnosis Test result, use of mosquito nets and indoor residual spraying with insecticide. Occup Health South Afr. 2014;20(4):20–7. Ayele D, Zewotir T, Mwambi H. Modelling the joint determinants of a positive malaria Rapid Diagnosis Test result, use of mosquito nets and indoor residual spraying with insecticide. Occup Health South Afr. 2014;20(4):20–7.
10.
go back to reference Habyarimana F, Zewotir T, Ramroop S. Joint Modeling of Poverty of Households and Malnutrition of Children Under Five Years from Demographic and Health Survey Data: Case of Rwanda. JEBS. 2016;8(2):108–14.CrossRef Habyarimana F, Zewotir T, Ramroop S. Joint Modeling of Poverty of Households and Malnutrition of Children Under Five Years from Demographic and Health Survey Data: Case of Rwanda. JEBS. 2016;8(2):108–14.CrossRef
11.
go back to reference Nelsen RB. An introduction to Copulas (Springer Series in Statistics). New York: Springer, Springer Street; 2006. Nelsen RB. An introduction to Copulas (Springer Series in Statistics). New York: Springer, Springer Street; 2006.
12.
go back to reference Kazembe LN, Muula AS, Simoonga C. Joint spatial modelling of common morbidities of childhood fever and diarrhoea in Malawi. Health Place. 2009;15:165–72.CrossRefPubMed Kazembe LN, Muula AS, Simoonga C. Joint spatial modelling of common morbidities of childhood fever and diarrhoea in Malawi. Health Place. 2009;15:165–72.CrossRefPubMed
13.
go back to reference Besag J, York J, Mollie A. Bayesian image restoration, with two applications in spatial statistics. Ann Inst Stat Math. 1991;43:1–20.CrossRef Besag J, York J, Mollie A. Bayesian image restoration, with two applications in spatial statistics. Ann Inst Stat Math. 1991;43:1–20.CrossRef
14.
go back to reference Roberts D, Matthews G, Snow R, Zewotir T, Sartorius B. Investigating the spatial variation and risk factors of childhood anaemia in four sub-Saharan African countries. BMC Public Health. 2020;20(126):126.CrossRefPubMedPubMedCentral Roberts D, Matthews G, Snow R, Zewotir T, Sartorius B. Investigating the spatial variation and risk factors of childhood anaemia in four sub-Saharan African countries. BMC Public Health. 2020;20(126):126.CrossRefPubMedPubMedCentral
15.
go back to reference Gayawan E, Arogundade ED, Adebayo SB. Possible determinants and spatial patterns of anaemia among young children in Nigeria: A bayesian semi-parametric modelling. Int Health. 2014;6(1):35–45.CrossRefPubMed Gayawan E, Arogundade ED, Adebayo SB. Possible determinants and spatial patterns of anaemia among young children in Nigeria: A bayesian semi-parametric modelling. Int Health. 2014;6(1):35–45.CrossRefPubMed
16.
go back to reference Habyarimana F, Zewotir T, Ramroop S. Structured additive quantile regression for assessing the determinants of childhood anemia in Rwanda. Int J Environ Res Public Health. 2017;14:652.CrossRefPubMedCentral Habyarimana F, Zewotir T, Ramroop S. Structured additive quantile regression for assessing the determinants of childhood anemia in Rwanda. Int J Environ Res Public Health. 2017;14:652.CrossRefPubMedCentral
17.
go back to reference Gayawan E, Fadiji FA. Joint Spatial Modelling of Childhood Morbidity in West Africa Using a Distributional Bivariate Probit Model. Stat Biosci. 2021;13:56–76. Gayawan E, Fadiji FA. Joint Spatial Modelling of Childhood Morbidity in West Africa Using a Distributional Bivariate Probit Model. Stat Biosci. 2021;13:56–76.
18.
go back to reference Adeyemi R, Zewotir T, Ramroop S. Joint spatial mapping of childhood anemia and malnutrition in sub-Saharan Africa: a cross-sectional study of small-scale geographical disparities. J Afri Health Sci. 2019;19(3):2692–712.CrossRef Adeyemi R, Zewotir T, Ramroop S. Joint spatial mapping of childhood anemia and malnutrition in sub-Saharan Africa: a cross-sectional study of small-scale geographical disparities. J Afri Health Sci. 2019;19(3):2692–712.CrossRef
19.
go back to reference ICF International. Demographic and Health Survey Sampling and Household Listing Manual. MEASURE DHS, Calverton: ICF International; 2012. ICF International. Demographic and Health Survey Sampling and Household Listing Manual. MEASURE DHS, Calverton: ICF International; 2012.
20.
go back to reference WHO. Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity. Vitamin and mineral nutrition information system. Geneva: World Health Organization; 2011. WHO. Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity. Vitamin and mineral nutrition information system. Geneva: World Health Organization; 2011.
21.
go back to reference Zekar L, Sharman T. Plasmodium Falciparum Malaria. Treasure Island (FL): StatPearls Publishing; 2020. Zekar L, Sharman T. Plasmodium Falciparum Malaria. Treasure Island (FL): StatPearls Publishing; 2020.
22.
go back to reference Alemu M, Kinfe B, Tadesse D, Mulu W, Hailu T, Yizengaw E. Intestinal parasitosis and anaemia among patients in a Health Center, North Ethiopia. BMC Res Notes. 2017;10(1):632.CrossRefPubMedPubMedCentral Alemu M, Kinfe B, Tadesse D, Mulu W, Hailu T, Yizengaw E. Intestinal parasitosis and anaemia among patients in a Health Center, North Ethiopia. BMC Res Notes. 2017;10(1):632.CrossRefPubMedPubMedCentral
23.
go back to reference Weaver H. Climate change and human parasitic disease. CABI Nosworthy Way Wallingford: \(\copyright\) CAB International; 2014. p. 95. Weaver H. Climate change and human parasitic disease. CABI Nosworthy Way Wallingford: \(\copyright\) CAB International; 2014. p. 95.
24.
go back to reference Knorr-Held L, Best NG. A shared component model for detecting joint and selective clustering of two diseases. J Royal Stat Soc Ser A Stat Soc. 2001;164(6):73–85.CrossRef Knorr-Held L, Best NG. A shared component model for detecting joint and selective clustering of two diseases. J Royal Stat Soc Ser A Stat Soc. 2001;164(6):73–85.CrossRef
25.
go back to reference Ibáñez-Beroiz B, Librero-López J, Peiró-Moreno S, Bernal-Delgado E. Shared component modelling as an alternative to assess geographical variations in medical practice: gender inequalities in hospital admissions for chronic diseases. BMC Med Res Methodol. 2011;11(1):1–10.CrossRef Ibáñez-Beroiz B, Librero-López J, Peiró-Moreno S, Bernal-Delgado E. Shared component modelling as an alternative to assess geographical variations in medical practice: gender inequalities in hospital admissions for chronic diseases. BMC Med Res Methodol. 2011;11(1):1–10.CrossRef
26.
go back to reference Etxeberria J, Goicoa T, Ugarte MD. Joint modelling of brain cancer incidence and mortality using Bayesian age- and gender-specific shared component models. Stoch Env Res Risk A. 2018;32(10):2951–69.CrossRef Etxeberria J, Goicoa T, Ugarte MD. Joint modelling of brain cancer incidence and mortality using Bayesian age- and gender-specific shared component models. Stoch Env Res Risk A. 2018;32(10):2951–69.CrossRef
27.
go back to reference Law J, Quick M, Jadavji A. Annals of GIS A Bayesian spatial shared component model for identifying crime-general and crime-specific hotspots. Ann GIS. 2020;26(1):65–79.CrossRef Law J, Quick M, Jadavji A. Annals of GIS A Bayesian spatial shared component model for identifying crime-general and crime-specific hotspots. Ann GIS. 2020;26(1):65–79.CrossRef
29.
go back to reference Thomas A, Best N, Lunn D, Arnold R, Spiegelhalter D. BUGS: Bayesian inference using Gibbs sampling. Cambridge: MRC Biostatistics Unit; 2003. Version 1.4. Thomas A, Best N, Lunn D, Arnold R, Spiegelhalter D. BUGS: Bayesian inference using Gibbs sampling. Cambridge: MRC Biostatistics Unit; 2003. Version 1.4.
30.
go back to reference Roberts D, Zewotir T. District Effect Appraisal in East Sub-Saharan Africa: Combating Childhood Anaemia. Anemia. 2019;2019(Article ID 1598920):1-10. Roberts D, Zewotir T. District Effect Appraisal in East Sub-Saharan Africa: Combating Childhood Anaemia. Anemia. 2019;2019(Article ID 1598920):1-10.
32.
go back to reference Spottiswoode N, Duffy P, Drakesmith H. Iron, anemia and hepcidin in malaria. Front Pharmacol. 2014;5:1–11.CrossRef Spottiswoode N, Duffy P, Drakesmith H. Iron, anemia and hepcidin in malaria. Front Pharmacol. 2014;5:1–11.CrossRef
33.
go back to reference Archer NM, Petersen N, Clark MA, Buckee CO, Childs LM, Duraisingh MT. Resistance to Plasmodium falciparum in sickle cell trait erythrocytes is driven by oxygen-dependent growth inhibition. Proc Natl Acad Sci. 2018;115(28):7350–5.CrossRefPubMedPubMedCentral Archer NM, Petersen N, Clark MA, Buckee CO, Childs LM, Duraisingh MT. Resistance to Plasmodium falciparum in sickle cell trait erythrocytes is driven by oxygen-dependent growth inhibition. Proc Natl Acad Sci. 2018;115(28):7350–5.CrossRefPubMedPubMedCentral
34.
go back to reference Njunda AL, Fon SG, Assob JCN, et al. Coinfection with malaria and intestinal parasites, and its association with anaemia in children in Cameroon. Infect Dis Poverty. 2015;4:1–7.CrossRef Njunda AL, Fon SG, Assob JCN, et al. Coinfection with malaria and intestinal parasites, and its association with anaemia in children in Cameroon. Infect Dis Poverty. 2015;4:1–7.CrossRef
35.
37.
40.
go back to reference Soares Magalhães RJ, Langa A, Pedro JM, Sousa-Figueiredo JC, Clements ACA, Nery SV. Role of malnutrition and parasite infections in the spatial variation in children’s anaemia risk in northern Angola. Geospatial Health. 2013;7(2):341–54.CrossRefPubMed Soares Magalhães RJ, Langa A, Pedro JM, Sousa-Figueiredo JC, Clements ACA, Nery SV. Role of malnutrition and parasite infections in the spatial variation in children’s anaemia risk in northern Angola. Geospatial Health. 2013;7(2):341–54.CrossRefPubMed
41.
go back to reference Donnelly JM, McCall P, Lengeler C, et al. Malaria and urbanization in sub-Saharan Africa. Malar J. 2005;4(12):684–93. Donnelly JM, McCall P, Lengeler C, et al. Malaria and urbanization in sub-Saharan Africa. Malar J. 2005;4(12):684–93.
42.
go back to reference Snyman K, Mwangwa F, Bigira V, Kapisi J, Clark TD, Osterbauer B, et al. Poor housing construction associated with increased malaria incidence in a cohort of young Ugandan children. Am J Trop Med Hyg. 2015;92(6):1207–13.CrossRefPubMedPubMedCentral Snyman K, Mwangwa F, Bigira V, Kapisi J, Clark TD, Osterbauer B, et al. Poor housing construction associated with increased malaria incidence in a cohort of young Ugandan children. Am J Trop Med Hyg. 2015;92(6):1207–13.CrossRefPubMedPubMedCentral
43.
go back to reference Wanzirah H, Tusting LS, Arinaitwe E, Katureebe A, Maxwell K, Rek J, et al. Mind the gap: house structure and the risk of malaria in Uganda. PLoS ONE. 2015;10(1): e0117396.CrossRefPubMedPubMedCentral Wanzirah H, Tusting LS, Arinaitwe E, Katureebe A, Maxwell K, Rek J, et al. Mind the gap: house structure and the risk of malaria in Uganda. PLoS ONE. 2015;10(1): e0117396.CrossRefPubMedPubMedCentral
Metadata
Title
Shared component modelling of early childhood anaemia and malaria in Kenya, Malawi, Tanzania and Uganda
Authors
Danielle J. Roberts
Temesgen Zewotir
Publication date
01-12-2022
Publisher
BioMed Central
Keyword
Malaria
Published in
BMC Pediatrics / Issue 1/2022
Electronic ISSN: 1471-2431
DOI
https://doi.org/10.1186/s12887-022-03694-4

Other articles of this Issue 1/2022

BMC Pediatrics 1/2022 Go to the issue