Qing Han

Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Laboratory for Industrial and Applied Mathematics (LIAM), York University

4700 Keele Street

Toronto, Ontario M3J 1P3

Canada

SCHOLARLY PAPERS

4

DOWNLOADS

396

SSRN CITATIONS

2

CROSSREF CITATIONS

0

Scholarly Papers (4)

1.

COVID-19 and Malaria Co-Infection: Do Stigmatization and Self-Medication Matter? A Mathematical Modelling Study for Nigeria

Number of pages: 30 Posted: 11 May 2022
Africa-Canada Artificial Intelligence and Data Innovation Consortium, Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Laboratory for Industrial and Applied Mathematics (LIAM), York University, York University, York University - Laboratory for Industrial and Applied Mathematics, Africa-Canada Artificial Intelligence and Data Innovation Consortium, York University, York University - Laboratory for Industrial and Applied MathematicsAfrica-Canada Artificial Intelligence and Data Innovation Consortium, York University and Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC)
Downloads 221 (258,114)
Citation 3

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Epidemiology, COVID-19, Malaria, Self-medication

Estimation of Epidemiological Parameters and Ascertainment Rate from Early Transmission of COVID-19 across Africa

Number of pages: 17 Posted: 27 Jun 2022
Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Laboratory for Industrial and Applied Mathematics (LIAM), York University, York University - Laboratory for Industrial and Applied Mathematics, York University, York University, York University - Laboratory for Industrial and Applied MathematicsAfrica-Canada Artificial Intelligence and Data Innovation Consortium and Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC)
Downloads 64 (651,471)

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COVID-19, reporting rate, mathematical model

Estimation of Epidemiological Parameters and Ascertainment Rate from Early Transmission of COVID-19 Across Africa

Number of pages: 17 Posted: 06 Jul 2022
Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Laboratory for Industrial and Applied Mathematics (LIAM), York University, York University - Laboratory for Industrial and Applied Mathematics, York University, York University, York University - Laboratory for Industrial and Applied MathematicsAfrica-Canada Artificial Intelligence and Data Innovation Consortium and Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC)
Downloads 30 (892,920)
Citation 1

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3.

The Determinants of Under-Estimation of Covid-19 Cases Across Africa

Number of pages: 17 Posted: 08 Apr 2024
Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Laboratory for Industrial and Applied Mathematics (LIAM), York University, York University, University Grenoble Alpes, Africa-Canada Artificial Intelligence and Data Innovation Consortium, Africa-Canada Artificial Intelligence and Data Innovation Consortium, York University, York University, York University - Laboratory for Industrial and Applied MathematicsAfrica-Canada Artificial Intelligence and Data Innovation Consortium and Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC)
Downloads 58 (672,234)

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under-estimation, COVID-19, Africa, determinants of under-estimation, generalized additive model, hierarchical clustering on principal component analysis

4.

Understanding the Impact of HIV on Mpox Transmission in an Msm Population: A Mathematical Modeling Study

Number of pages: 24 Posted: 22 Apr 2024
Federal University of Technology Owerri - School of Physical Sciences, Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Laboratory for Industrial and Applied Mathematics (LIAM), York University, Government of the United States of America - Los Alamos National Laboratory, University of Ibadan, York University, Trent University, Africa-Canada Artificial Intelligence and Data Innovation Consortium and York University
Downloads 23 (931,930)

Abstract:

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HIV-mpox co-infection, infectious disease modeling, invasion reproduction number, control reproduction number, Sensitivity analysis, MSM