Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Farai Nyabadza"'
Autor:
Muhammad Abdurrahman Rois, Fatmawati, Cicik Alfiniyah, Santi Martini, Dipo Aldila, Farai Nyabadza
Publikováno v:
Journal of Biosafety and Biosecurity, Vol 6, Iss 3, Pp 181-195 (2024)
This paper presents and examines a COVID-19 model that takes comorbidities and up to three vaccine doses into account. We analyze the stability of the equilibria, examine herd immunity, and conduct a sensitivity analysis validated by data on COVID-19
Externí odkaz:
https://doaj.org/article/65fc074cc945400b9b6e24085b0cc982
Publikováno v:
AppliedMath, Vol 4, Iss 3, Pp 999-1011 (2024)
This paper explores the mathematical dynamics of consumer spending during a financial crisis using opponent process theory (OPT). Traditionally applied in psychology, OPT explains how initial emotional responses are followed by counteracting reaction
Externí odkaz:
https://doaj.org/article/0d8e6b6f2fd345069747016f913be4e5
Autor:
Belthasara Assan, Farai Nyabadza
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
From the beginning of the outbreak of SARS-CoV-2 (COVID-19), South African data depicted seasonal transmission patterns, with infections rising in summer and winter every year. Seasonality, control measures, and the role of the environment are the mo
Externí odkaz:
https://doaj.org/article/28a1ba6758d14996a546eae7589bfe48
Autor:
Simon Mukwembi, Farai Nyabadza
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract In drug design, there are two major causes of drug failure in the clinic. First, the drug has to work, and second, the drug should be safe. Identifying compounds that work for certain ailments require enormous experimental time and, in gener
Externí odkaz:
https://doaj.org/article/1ca3be11186244209b68582380e0f9a1
Autor:
Tefa Kaisara, Farai Nyabadza
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 1, Pp 1122-1147 (2023)
The management of HIV/AIDS has evolved ever since advent of the disease in the past three decades. Many countries have had to revise their policies as new information on the virus, and its transmission dynamics emerged. In this paper, we track the ch
Externí odkaz:
https://doaj.org/article/38ff105b50e54559b2c3a628b9d9faa9
Modelling the potential influence of human migration and two strains on Ebola virus disease dynamics
Publikováno v:
Infectious Disease Modelling, Vol 7, Iss 4, Pp 645-659 (2022)
Migration of infected animals and humans, and mutation are considered as the source of the introduction of new pathogens and strains into a country. In this paper, we formulate a mathematical model of Ebola virus disease dynamics, that describes the
Externí odkaz:
https://doaj.org/article/7a21f62c35a94441913870515ae4e158
Autor:
Joseph Malinzi, Victor Ogesa Juma, Chinwendu Emilian Madubueze, John Mwaonanji, Godwin Nwachukwu Nkem, Elias Mwakilama, Tinashe Victor Mupedza, Vincent Nandwa Chiteri, Emmanuel Afolabi Bakare, Isabel Linda-Zulu Moyo, Eduard Campillo-Funollet, Farai Nyabadza, Anotida Madzvamuse
Publikováno v:
Royal Society Open Science, Vol 10, Iss 7 (2023)
Despite the lifting of COVID-19 restrictions, the COVID-19 pandemic and its effects remain a global challenge including the sub-Saharan Africa (SSA) region. Knowledge of the COVID-19 dynamics and its potential trends amidst variations in COVID-19 vac
Externí odkaz:
https://doaj.org/article/74b4a13a5fdb4d5f90f90816b1c58ea4
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
IntroductionThe utility of non-contact technologies for screening infectious diseases such as COVID-19 can be enhanced by improving the underlying Artificial Intelligence (AI) models and integrating them into data visualization frameworks. AI models
Externí odkaz:
https://doaj.org/article/660b273350354944b8cad6e41fd23bc9
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
IntroductionThe good health of the economy of developed countries is an attracting factor for economic migrants from poorer countries whose movements can be associated with the spread of diseases such as the Ebola virus disease.MethodsIn this paper,
Externí odkaz:
https://doaj.org/article/35c2b504d3f543298ae27dc325d45369
Autor:
Simon Mukwembi, Farai Nyabadza
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract A general perception among researchers is that boiling points, which is a key property in the optimization of lubricant performance, are difficult to predict successfully using a single-parameter model. In this contribution, we propose a new
Externí odkaz:
https://doaj.org/article/2ce1f8f6b2884d6c8944951dcc4e3036