S
Salihu S. Musa
Researcher at Hong Kong Polytechnic University
Publications - 62
Citations - 4008
Salihu S. Musa is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Medicine & Outbreak. The author has an hindex of 14, co-authored 45 publications receiving 2917 citations.
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Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak.
Shi Zhao,Qianying Lin,Jinjun Ran,Salihu S. Musa,Guangpu Yang,Weiming Wang,Yijun Lou,Daozhou Gao,Lin Yang,Daihai He,Maggie Haitian Wang +10 more
TL;DR: The early outbreak data largely follows the exponential growth and indicates the potential of 2019-nCoV to cause outbreaks, as well as the impact of the variations in disease reporting rate, modelled through theonential growth.
Journal ArticleDOI
A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.
Qianying Lin,Shi Zhao,Daozhou Gao,Yijun Lou,Shu Yang,Salihu S. Musa,Maggie Haitian Wang,Yongli Cai,Weiming Wang,Lin Yang,Daihai He +10 more
TL;DR: A conceptual models for the COVID-19 outbreak in Wuhan with the consideration of individual behavioural reaction and governmental actions is proposed, and it successfully captures the course of the COIDs, and thus sheds light on understanding the trends of the outbreak.
Journal ArticleDOI
Estimating the unreported number of novel coronavirus (2019-ncov) cases in China in the first half of january 2020: A data-driven modelling analysis of the early outbreak
Shi Zhao,Salihu S. Musa,Qianying Lin,Jinjun Ran,Guangpu Yang,Weiming Wang,Yijun Lou,Lin Yang,Daozhou Gao,Daihai He,Maggie Haitian Wang +10 more
TL;DR: The under-reporting of 2019-nCoV cases was likely to have occurred during the first half of January 2020 and should be considered in future investigation.
Posted ContentDOI
Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak
Shi Zhao,Qianying Lin,Jinjun Ran,Salihu S. Musa,Guangpu Yang,Weiming Wang,Yijun Lou,Daozhou Gao,Lin Yang,Daihai He,Maggie Haitian Wang +10 more
TL;DR: This work modelled the epidemic curve of 2019-nCoV cases time series, in mainland China from January 10 to January 24, 2020, through the exponential growth and demonstrated that changes in reporting rate substantially affect estimates of R0.
Journal ArticleDOI
Mathematical modeling of COVID-19 epidemic with effect of awareness programs.
TL;DR: It is found that the epidemic could increase if awareness programs are not properly adopted and the awareness programs and timely hospitalization of active cases are essential tools for effective control and mitigation of COVID-19 pandemic in Nigeria and beyond.