Mathematical Modeling of Brucellosis Transmission Dynamics and Its Age‐Specific Applications
Brucellosis remains a significant public health and economic burden, especially in developing nations where livestock–human interactions are frequent. This paper presents a partial differential equation (PDE) model to capture the transmission dynamics of brucellosis, with a focus on age‐specific imp...
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Published in | Abstract and applied analysis Vol. 2025; no. 1 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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John Wiley & Sons, Inc
01.01.2025
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Abstract | Brucellosis remains a significant public health and economic burden, especially in developing nations where livestock–human interactions are frequent. This paper presents a partial differential equation (PDE) model to capture the transmission dynamics of brucellosis, with a focus on age‐specific impacts in humans and domestic animals. Using the integrated semigroup approach, the positivity and boundedness of the model were established ensuring biologically meaningful solutions. The basic reproduction number ( R 0 ) was derived through the Lotka–Sharpe–McKendrick integral equation, and the disease‐free equilibrium (DFE) was proven to be locally asymptotically stable when R 0 < 1. Global sensitivity analysis was performed using the PAWN method to identify key parameters influencing disease dynamics. Results revealed that humans aged 0–72 years are carriers of the disease, while domestic animals, particularly those aged 0–5 and 11–15 years, act as significant reservoirs. Furthermore, environmental contamination was found to be a critical driver of transmission, emphasizing the urgent need for improved sanitation and hygiene measures. This study underscores the importance of targeting specific age groups and addressing environmental factors to enhance brucellosis control strategies, providing valuable insights for policymakers and public health practitioners. |
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AbstractList | Brucellosis remains a significant public health and economic burden, especially in developing nations where livestock–human interactions are frequent. This paper presents a partial differential equation (PDE) model to capture the transmission dynamics of brucellosis, with a focus on age‐specific impacts in humans and domestic animals. Using the integrated semigroup approach, the positivity and boundedness of the model were established ensuring biologically meaningful solutions. The basic reproduction number ( R 0 ) was derived through the Lotka–Sharpe–McKendrick integral equation, and the disease‐free equilibrium (DFE) was proven to be locally asymptotically stable when R 0 < 1. Global sensitivity analysis was performed using the PAWN method to identify key parameters influencing disease dynamics. Results revealed that humans aged 0–72 years are carriers of the disease, while domestic animals, particularly those aged 0–5 and 11–15 years, act as significant reservoirs. Furthermore, environmental contamination was found to be a critical driver of transmission, emphasizing the urgent need for improved sanitation and hygiene measures. This study underscores the importance of targeting specific age groups and addressing environmental factors to enhance brucellosis control strategies, providing valuable insights for policymakers and public health practitioners. Brucellosis remains a significant public health and economic burden, especially in developing nations where livestock–human interactions are frequent. This paper presents a partial differential equation (PDE) model to capture the transmission dynamics of brucellosis, with a focus on age-specific impacts in humans and domestic animals. Using the integrated semigroup approach, the positivity and boundedness of the model were established ensuring biologically meaningful solutions. The basic reproduction number R0 was derived through the Lotka–Sharpe–McKendrick integral equation, and the disease-free equilibrium (DFE) was proven to be locally asymptotically stable when R0<1. Global sensitivity analysis was performed using the PAWN method to identify key parameters influencing disease dynamics. Results revealed that humans aged 0–72 years are carriers of the disease, while domestic animals, particularly those aged 0–5 and 11–15 years, act as significant reservoirs. Furthermore, environmental contamination was found to be a critical driver of transmission, emphasizing the urgent need for improved sanitation and hygiene measures. This study underscores the importance of targeting specific age groups and addressing environmental factors to enhance brucellosis control strategies, providing valuable insights for policymakers and public health practitioners. |
Author | Sosoma, Innocent Shaban Mbare, Nyimvua Mureithi, Eunice |
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Cites_doi | 10.4236/am.2016.715155 10.1016/j.envsoft.2018.07.019 10.1371/journal.pone.0177313 10.1155/2018/6456107 10.1080/17513750903171688 10.1101/2022.03.16.22272508 10.1017/S0950268809002301 10.1371/journal.pntd.0005692 10.1016/j.cnsns.2020.105551 10.1016/j.cimid.2025.102324 10.1016/j.prevetmed.2005.01.017 10.1016/j.prevetmed.2014.11.014 10.4236/ojapps.2015.59052 10.1016/S0378-1135(02)00249-3 10.1007/s12190-015-0901-y 10.1080/17513758.2015.1056845 10.1111/zph.12145 10.1080/14786440408637050 10.5433/1679-0359.2016v37n5Supl2p3767 10.1017/S0013091500034428 10.1016/j.vetmic.2009.06.021 10.1155/2020/1214391 10.1016/j.nonrwa.2019.04.013 10.1016/j.csbj.2020.11.014 |
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Copyright | Copyright © 2025 Innocent Sosoma et al. Abstract and Applied Analysis published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (the “License”), which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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Snippet | Brucellosis remains a significant public health and economic burden, especially in developing nations where livestock–human interactions are frequent. This... |
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SubjectTerms | Age Age groups Animals Bacteria Bone marrow Brucellosis Clinical outcomes Developing countries Differential equations Disease control Fatalities Identification methods Infections Integral equations LDCs Older people Ordinary differential equations Parameter identification Partial differential equations Pathogens Probability Public health Sanitation Sensitivity analysis Sheep |
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