Access the full text.
Sign up today, get DeepDyve free for 14 days.
Kamukama Ismail, Gilbert Maiga, Denis Ssebuggwawo, Peter Nabende, A. Mansourian (2021)
Spatio-temporal trends and distribution patterns of typhoid disease in Uganda from 2012 to 2017.Geospatial health, 15 2
R. Ssenyonga, R. Muwonge, F. Twebaze, R. Mutyabule (2010)
DETERMINANTS OF ACUTE DIARRHOEA IN CHILDREN AGED 0 - 5 YEARS IN UGANDAEast African Medical Journal, 86
Augustus Aturinde, M. Farnaghi, P. Pilesjö, A. Mansourian (2019)
Spatial analysis of HIV-TB co-clustering in UgandaBMC Infectious Diseases, 19
E. Gayawan, M. Adarabioyo, D. Okewole, S. Fashoto, J. Ukaegbu (2016)
Geographical variations in infant and child mortality in West Africa: a geo-additive discrete-time survival modellingGenus, 72
L. Kazembe, C. Appleton, I. Kleinschmidt (2007)
Spatial analysis of the relationship between early childhood mortality and malaria endemicity in Malawi.Geospatial health, 2 1
Simon Kigozi, Ruth Kigozi, Catherine Sebuguzi, J. Cano, Damian Rutazaana, J. Opigo, T. Bousema, Adoke Yeka, Anne Gasasira, B. Sartorius, R. Pullan (2020)
Spatial-temporal patterns of malaria incidence in Uganda using HMIS data from 2015 to 2019BMC Public Health, 20
G. Raso, P. Vounatsou, B. Singer, E. N'Goran, M. Tanner, J. Utzinger (2006)
An integrated approach for risk profiling and spatial prediction of Schistosoma mansoni-hookworm coinfection.Proceedings of the National Academy of Sciences of the United States of America, 103 18
(2019)
Diarrheal diseases in rural and urban Uganda: examining the association between temperature and rainfall anomalies and diarrheal incidence
A. Walusansa, Savina Asiimwe, Jamilu Ssenku, G. Anywar, Milbert Namara, J. Nakavuma, E. Kakudidi (2021)
Herbal medicine used for the treatment of diarrhea and cough in Kampala city, UgandaTropical Medicine and Health, 50
S. Adebayo, L. Fahrmeir (2005)
Analysing child mortality in Nigeria with geoadditive discrete‐time survival modelsStatistics in Medicine, 24
L. Kazembe (2009)
Modelling individual fertility levels in Malawian women: a spatial semiparametric regression modelStatistical Methods and Applications, 18
A. Millard (1994)
A causal model of high rates of child mortality.Social science & medicine, 38 2
L. Fahrmeir, S. Lang (2001)
Bayesian inference for generalized additive mixed models based on Markov random field priorsJournal of the Royal Statistical Society: Series C (Applied Statistics), 50
Matt Kandel (2016)
Struggling over land in post-conflict UgandaAfrican Affairs, 115
D. Atari, P. Mkandawire (2014)
Spatial variation of management of childhood diarrhea in Malawi.Health & place, 29
N. Kandala (2006)
Bayesian geo‐additive modelling of childhood morbidity in MalawiApplied Stochastic Models in Business and Industry, 22
The study examines the variability of community-based and determinants of childhood diarrhea management including rehydration and feeding therapies using the 2016 Uganda Demographic and Health Survey, UDHS (N = 2,923). The study utilized the Bayesian model and geo-statistical techniques with location (district) and nonlinear metrical attributes (mother’s and child’s age) to gain a better understanding of childhood diarrhea management. The results show that 45% and 58% of under-5 children received less than the usual amount of fluid and food, respectively, during diarrheal episodes. However, the findings indicate that the prevalence of diarrhea among under-5 children does vary spatially within and between subregions and districts of Uganda. The fixed effects show that the covariates have no significant influence on rehydration therapy. However, the wealth index, family size, and number of under-5 children in a household have a significant impact on feeding therapy for children with diarrhea. In general, the results indicate that geography has a significant effect on the rehydration therapy, while both geography and socioeconomic variables have a significant influence on feeding therapy on under-5 children with diarrhea. These findings can support policymakers to identify subregions and districts with ineffective practices and policy strategies to better address the spatial variations and determinants of diarrhea management in Uganda.
African Geographical Review – Taylor & Francis
Published: May 6, 2023
Keywords: Children under-5; diarrhea; geo-additive logit model; policy; spatial variations; Uganda
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.