The cognitive, emotional, and behavioral functioning of humans is greatly impacted by mental health issues. An increasing public health concern in Kenya is outpatient mental health morbidity. The geographic distribution of these symptoms and their correlation with infectious diseases have not, however, been thoroughly investigated. The objective of this research was to investigate the spatial distribution of mental health conditions in Kenya and their correlation with infectious diseases, including HIV, TB, and STIs. To evaluate the regional distribution of outpatient mental health cases, a spatial modeling approach was used. In order to find high-prevalence regions and possible links, the study used geostatistical approaches to integrate epidemiological data on infectious diseases and mental health issues. The results showed that mental health issues were not evenly distributed, with a higher emphasis in Nairobi and the Western areas. Infectious diseases and mental health disorders were shown to be strongly correlated, indicating possible connections between these health costs. High accuracy and validity were displayed by the spatial model, which provided insightful information for planning interventions and allocating resources. The distribution of mental health disorders and its relationship to infectious diseases in Kenya are better understood thanks to this study. The results emphasize the necessity of locally focused mental health treatments, especially in high-risk areas. These insights can be used by policymakers to enhance mental health services accessibility, optimize healthcare methods, and create integrated treatment plans for people with co-occurring disorders.
| Published in | Science Journal of Applied Mathematics and Statistics (Volume 13, Issue 3) |
| DOI | 10.11648/j.sjams.20251303.11 |
| Page(s) | 45-55 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Mental Health, Infectious Diseases, Outpatient Morbidity, Spatial Modeling, Policy, Data, Treatment, Conditional Autoregressive
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APA Style
Wambui, N. R., Samuel, M., Charity, W. (2025). Spatial Modeling of Mental Health on Outpatient Morbidity in Kenya. Science Journal of Applied Mathematics and Statistics, 13(3), 45-55. https://doi.org/10.11648/j.sjams.20251303.11
ACS Style
Wambui, N. R.; Samuel, M.; Charity, W. Spatial Modeling of Mental Health on Outpatient Morbidity in Kenya. Sci. J. Appl. Math. Stat. 2025, 13(3), 45-55. doi: 10.11648/j.sjams.20251303.11
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Download@article{10.11648/j.sjams.20251303.11,
author = {Ndegwa Ruth Wambui and Mwalili Samuel and Wamwea Charity},
title = {Spatial Modeling of Mental Health on Outpatient Morbidity in Kenya
},
journal = {Science Journal of Applied Mathematics and Statistics},
volume = {13},
number = {3},
pages = {45-55},
doi = {10.11648/j.sjams.20251303.11},
url = {https://doi.org/10.11648/j.sjams.20251303.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20251303.11},
abstract = {The cognitive, emotional, and behavioral functioning of humans is greatly impacted by mental health issues. An increasing public health concern in Kenya is outpatient mental health morbidity. The geographic distribution of these symptoms and their correlation with infectious diseases have not, however, been thoroughly investigated. The objective of this research was to investigate the spatial distribution of mental health conditions in Kenya and their correlation with infectious diseases, including HIV, TB, and STIs. To evaluate the regional distribution of outpatient mental health cases, a spatial modeling approach was used. In order to find high-prevalence regions and possible links, the study used geostatistical approaches to integrate epidemiological data on infectious diseases and mental health issues. The results showed that mental health issues were not evenly distributed, with a higher emphasis in Nairobi and the Western areas. Infectious diseases and mental health disorders were shown to be strongly correlated, indicating possible connections between these health costs. High accuracy and validity were displayed by the spatial model, which provided insightful information for planning interventions and allocating resources. The distribution of mental health disorders and its relationship to infectious diseases in Kenya are better understood thanks to this study. The results emphasize the necessity of locally focused mental health treatments, especially in high-risk areas. These insights can be used by policymakers to enhance mental health services accessibility, optimize healthcare methods, and create integrated treatment plans for people with co-occurring disorders.
},
year = {2025}
}
TY - JOUR T1 - Spatial Modeling of Mental Health on Outpatient Morbidity in Kenya AU - Ndegwa Ruth Wambui AU - Mwalili Samuel AU - Wamwea Charity Y1 - 2025/06/25 PY - 2025 N1 - https://doi.org/10.11648/j.sjams.20251303.11 DO - 10.11648/j.sjams.20251303.11 T2 - Science Journal of Applied Mathematics and Statistics JF - Science Journal of Applied Mathematics and Statistics JO - Science Journal of Applied Mathematics and Statistics SP - 45 EP - 55 PB - Science Publishing Group SN - 2376-9513 UR - https://doi.org/10.11648/j.sjams.20251303.11 AB - The cognitive, emotional, and behavioral functioning of humans is greatly impacted by mental health issues. An increasing public health concern in Kenya is outpatient mental health morbidity. The geographic distribution of these symptoms and their correlation with infectious diseases have not, however, been thoroughly investigated. The objective of this research was to investigate the spatial distribution of mental health conditions in Kenya and their correlation with infectious diseases, including HIV, TB, and STIs. To evaluate the regional distribution of outpatient mental health cases, a spatial modeling approach was used. In order to find high-prevalence regions and possible links, the study used geostatistical approaches to integrate epidemiological data on infectious diseases and mental health issues. The results showed that mental health issues were not evenly distributed, with a higher emphasis in Nairobi and the Western areas. Infectious diseases and mental health disorders were shown to be strongly correlated, indicating possible connections between these health costs. High accuracy and validity were displayed by the spatial model, which provided insightful information for planning interventions and allocating resources. The distribution of mental health disorders and its relationship to infectious diseases in Kenya are better understood thanks to this study. The results emphasize the necessity of locally focused mental health treatments, especially in high-risk areas. These insights can be used by policymakers to enhance mental health services accessibility, optimize healthcare methods, and create integrated treatment plans for people with co-occurring disorders. VL - 13 IS - 3 ER -
Department of Statistics and Actuarial Science, Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya
Department of Statistics and Actuarial Science, Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya
Department of Statistics and Actuarial Science, Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya
