Modeling nosocomial infection of COVID-19 transmission dynamics
COVID-19 epidemic has posed an unprecedented threat to global public health. The disease has alarmed the healthcare system with the harm of nosocomial infection. Nosocomial spread of COVID-19 has been discovered and reported globally in different healthcare facilities. Asymptomatic patients and supe...
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Published in | Results in physics Vol. 37; p. 105503 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier B.V
01.06.2022
The Author(s). Published by Elsevier B.V Elsevier |
Subjects | |
Online Access | Get full text |
ISSN | 2211-3797 2211-3797 |
DOI | 10.1016/j.rinp.2022.105503 |
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Abstract | COVID-19 epidemic has posed an unprecedented threat to global public health. The disease has alarmed the healthcare system with the harm of nosocomial infection. Nosocomial spread of COVID-19 has been discovered and reported globally in different healthcare facilities. Asymptomatic patients and super-spreaders are sough to be among of the source of these infections. Thus, this study contributes to the subject by formulating a SEIHR mathematical model to gain the insight into nosocomial infection for COVID-19 transmission dynamics. The role of personal protective equipment θ is studied in the proposed model. Benefiting the next generation matrix method, R0 was computed. Routh–Hurwitz criterion and stable Metzler matrix theory revealed that COVID-19-free equilibrium point is locally and globally asymptotically stable whenever R0<1. Lyapunov function depicted that the endemic equilibrium point is globally asymptotically stable when R0>1. Further, the dynamics behavior of R0 was explored when varying θ. In the absence of θ, the value of R0 was 8.4584 which implies the expansion of the disease. When θ is introduced in the model, R0 was 0.4229, indicating the decrease of the disease in the community. Numerical solutions were simulated by using Runge–Kutta fourth-order method. Global sensitivity analysis is performed to present the most significant parameter. The numerical results illustrated mathematically that personal protective equipment can minimizes nosocomial infections of COVID-19.
•Lyapunov function is deployed to establish global stability at both DFE and endemic points.•The use of PPE shown a significant impact mathematically in curbing COVID-19.•Nosocomial infection for COVID-19 are hospital acquired infection.•Positivity and boundedness is proved using calculus technique. |
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AbstractList | COVID-19 epidemic has posed an unprecedented threat to global public health. The disease has alarmed the healthcare system with the harm of nosocomial infection. Nosocomial spread of COVID-19 has been discovered and reported globally in different healthcare facilities. Asymptomatic patients and super-spreaders are sough to be among of the source of these infections. Thus, this study contributes to the subject by formulating a
S
E
I
H
R
mathematical model to gain the insight into nosocomial infection for COVID-19 transmission dynamics. The role of personal protective equipment
θ
is studied in the proposed model. Benefiting the next generation matrix method,
R
0
was computed. Routh–Hurwitz criterion and stable Metzler matrix theory revealed that COVID-19-free equilibrium point is locally and globally asymptotically stable whenever
R
0
<
1
. Lyapunov function depicted that the endemic equilibrium point is globally asymptotically stable when
R
0
>
1
. Further, the dynamics behavior of
R
0
was explored when varying
θ
. In the absence of
θ
, the value of
R
0
was 8.4584 which implies the expansion of the disease. When
θ
is introduced in the model,
R
0
was 0.4229, indicating the decrease of the disease in the community. Numerical solutions were simulated by using Runge–Kutta fourth-order method. Global sensitivity analysis is performed to present the most significant parameter. The numerical results illustrated mathematically that personal protective equipment can minimizes nosocomial infections of COVID-19. COVID-19 epidemic has posed an unprecedented threat to global public health. The disease has alarmed the healthcare system with the harm of nosocomial infection. Nosocomial spread of COVID-19 has been discovered and reported globally in different healthcare facilities. Asymptomatic patients and super-spreaders are sough to be among of the source of these infections. Thus, this study contributes to the subject by formulating a SEIHRmathematical model to gain the insight into nosocomial infection for COVID-19 transmission dynamics. The role of personal protective equipment θ is studied in the proposed model. Benefiting the next generation matrix method, R0was computed. Routh–Hurwitz criterion and stable Metzler matrix theory revealed that COVID-19-free equilibrium point is locally and globally asymptotically stable whenever R0<1. Lyapunov function depicted that the endemic equilibrium point is globally asymptotically stable when R0>1. Further, the dynamics behavior of R0was explored when varying θ. In the absence of θ, the value of R0was 8.4584 which implies the expansion of the disease. When θ is introduced in the model, R0was 0.4229, indicating the decrease of the disease in the community. Numerical solutions were simulated by using Runge–Kutta fourth-order method. Global sensitivity analysis is performed to present the most significant parameter. The numerical results illustrated mathematically that personal protective equipment can minimizes nosocomial infections of COVID-19. COVID-19 epidemic has posed an unprecedented threat to global public health. The disease has alarmed the healthcare system with the harm of nosocomial infection. Nosocomial spread of COVID-19 has been discovered and reported globally in different healthcare facilities. Asymptomatic patients and super-spreaders are sough to be among of the source of these infections. Thus, this study contributes to the subject by formulating a S E I H R mathematical model to gain the insight into nosocomial infection for COVID-19 transmission dynamics. The role of personal protective equipment θ is studied in the proposed model. Benefiting the next generation matrix method, R 0 was computed. Routh-Hurwitz criterion and stable Metzler matrix theory revealed that COVID-19-free equilibrium point is locally and globally asymptotically stable whenever R 0 < 1 . Lyapunov function depicted that the endemic equilibrium point is globally asymptotically stable when R 0 > 1 . Further, the dynamics behavior of R 0 was explored when varying θ . In the absence of θ , the value of R 0 was 8.4584 which implies the expansion of the disease. When θ is introduced in the model, R 0 was 0.4229, indicating the decrease of the disease in the community. Numerical solutions were simulated by using Runge-Kutta fourth-order method. Global sensitivity analysis is performed to present the most significant parameter. The numerical results illustrated mathematically that personal protective equipment can minimizes nosocomial infections of COVID-19.COVID-19 epidemic has posed an unprecedented threat to global public health. The disease has alarmed the healthcare system with the harm of nosocomial infection. Nosocomial spread of COVID-19 has been discovered and reported globally in different healthcare facilities. Asymptomatic patients and super-spreaders are sough to be among of the source of these infections. Thus, this study contributes to the subject by formulating a S E I H R mathematical model to gain the insight into nosocomial infection for COVID-19 transmission dynamics. The role of personal protective equipment θ is studied in the proposed model. Benefiting the next generation matrix method, R 0 was computed. Routh-Hurwitz criterion and stable Metzler matrix theory revealed that COVID-19-free equilibrium point is locally and globally asymptotically stable whenever R 0 < 1 . Lyapunov function depicted that the endemic equilibrium point is globally asymptotically stable when R 0 > 1 . Further, the dynamics behavior of R 0 was explored when varying θ . In the absence of θ , the value of R 0 was 8.4584 which implies the expansion of the disease. When θ is introduced in the model, R 0 was 0.4229, indicating the decrease of the disease in the community. Numerical solutions were simulated by using Runge-Kutta fourth-order method. Global sensitivity analysis is performed to present the most significant parameter. The numerical results illustrated mathematically that personal protective equipment can minimizes nosocomial infections of COVID-19. COVID-19 epidemic has posed an unprecedented threat to global public health. The disease has alarmed the healthcare system with the harm of nosocomial infection. Nosocomial spread of COVID-19 has been discovered and reported globally in different healthcare facilities. Asymptomatic patients and super-spreaders are sough to be among of the source of these infections. Thus, this study contributes to the subject by formulating a SEIHR mathematical model to gain the insight into nosocomial infection for COVID-19 transmission dynamics. The role of personal protective equipment θ is studied in the proposed model. Benefiting the next generation matrix method, R0 was computed. Routh–Hurwitz criterion and stable Metzler matrix theory revealed that COVID-19-free equilibrium point is locally and globally asymptotically stable whenever R0<1. Lyapunov function depicted that the endemic equilibrium point is globally asymptotically stable when R0>1. Further, the dynamics behavior of R0 was explored when varying θ. In the absence of θ, the value of R0 was 8.4584 which implies the expansion of the disease. When θ is introduced in the model, R0 was 0.4229, indicating the decrease of the disease in the community. Numerical solutions were simulated by using Runge–Kutta fourth-order method. Global sensitivity analysis is performed to present the most significant parameter. The numerical results illustrated mathematically that personal protective equipment can minimizes nosocomial infections of COVID-19. •Lyapunov function is deployed to establish global stability at both DFE and endemic points.•The use of PPE shown a significant impact mathematically in curbing COVID-19.•Nosocomial infection for COVID-19 are hospital acquired infection.•Positivity and boundedness is proved using calculus technique. COVID-19 epidemic has posed an unprecedented threat to global public health. The disease has alarmed the healthcare system with the harm of nosocomial infection. Nosocomial spread of COVID-19 has been discovered and reported globally in different healthcare facilities. Asymptomatic patients and super-spreaders are sough to be among of the source of these infections. Thus, this study contributes to the subject by formulating a mathematical model to gain the insight into nosocomial infection for COVID-19 transmission dynamics. The role of personal protective equipment is studied in the proposed model. Benefiting the next generation matrix method, was computed. Routh-Hurwitz criterion and stable Metzler matrix theory revealed that COVID-19-free equilibrium point is locally and globally asymptotically stable whenever . Lyapunov function depicted that the endemic equilibrium point is globally asymptotically stable when . Further, the dynamics behavior of was explored when varying . In the absence of , the value of was 8.4584 which implies the expansion of the disease. When is introduced in the model, was 0.4229, indicating the decrease of the disease in the community. Numerical solutions were simulated by using Runge-Kutta fourth-order method. Global sensitivity analysis is performed to present the most significant parameter. The numerical results illustrated mathematically that personal protective equipment can minimizes nosocomial infections of COVID-19. |
ArticleNumber | 105503 |
Author | Msamba, Oscar M. Mirau, Silas Steven Kreppel, Katharina Paul, James Nicodemus Masandawa, Lemjini Mbalawata, Isambi Sailon |
Author_xml | – sequence: 1 givenname: Lemjini orcidid: 0000-0003-2794-133X surname: Masandawa fullname: Masandawa, Lemjini email: masandawa@gmail.com organization: School of Computational and Communication Science and Engineering, The Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, Tanzania – sequence: 2 givenname: Silas Steven surname: Mirau fullname: Mirau, Silas Steven organization: School of Computational and Communication Science and Engineering, The Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, Tanzania – sequence: 3 givenname: Isambi Sailon surname: Mbalawata fullname: Mbalawata, Isambi Sailon organization: African Institute for Mathematical Sciences, NEI Globla Secretariat, Rue KG590 ST, Kigali, Rwanda – sequence: 4 givenname: James Nicodemus surname: Paul fullname: Paul, James Nicodemus organization: School of Computational and Communication Science and Engineering, The Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, Tanzania – sequence: 5 givenname: Katharina surname: Kreppel fullname: Kreppel, Katharina organization: School of Computational and Communication Science and Engineering, The Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, Tanzania – sequence: 6 givenname: Oscar M. surname: Msamba fullname: Msamba, Oscar M. organization: Arusha Technical College, P.O. Box 296, Arusha, Tanzania |
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CitedBy_id | crossref_primary_10_4236_jamp_2023_1112258 crossref_primary_10_3934_mbe_2023258 crossref_primary_10_51867_ajernet3_1_19 crossref_primary_10_1111_sapm_12678 crossref_primary_10_3934_mbe_2023560 crossref_primary_10_12677_AAM_2023_125248 |
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Keywords | Personal protective equipment Basic reproduction number Hospital-acquired infection Proposed C0VID-19 model PRCC |
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Title | Modeling nosocomial infection of COVID-19 transmission dynamics |
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