Masud, M. A. Islam, Md Hamidul Kim, Byul Nim 2024-01-19T11:04:06Z 2024-01-19T11:04:06Z 2022-09-22 2022-09 0092-8240 https://pubs.kist.re.kr/handle/201004/114587 COVID-19 is caused by the SARS-CoV-2 virus, which is mainly transmitted directly between humans. However, it is observed that this disease can also be transmitted through an indirect route via environmental fomites. The development of appropriate and effective vaccines has allowed us to target and anticipate herd immunity. Understanding of the transmission dynamics and the persistence of the virus on environmental fomites and their resistive role on indirect transmission of the virus is an important scientific and public health challenge because it is essential to consider all possible transmission routes and route specific transmission strength to accurately quantify the herd immunity threshold. In this paper, we present a mathematical model that considers both direct and indirect transmission modes. Our analysis focuses on establishing the disease invasion threshold, investigating its sensitivity to both transmission routes and isolate route-specific transmission rate. Using the tau-leap algorithm, we perform a stochastic model simulation to address the invasion potential of both transmission routes. Our analysis shows that direct transmission has a higher invasion potential than that of the indirect transmission. As a proof of this concept, we fitted our model with early epidemic data from several countries to uniquely estimate the reproduction numbers associated with direct and indirect transmission upon confirming the identifiability of the parameters. As the indirect transmission possess lower invasion potential than direct transmission, proper estimation and necessary steps toward mitigating it would help reduce vaccination requirement. English Academic Press Understanding the Role of Environmental Transmission on COVID-19 Herd Immunity and Invasion Potential Article 10.1007/s11538-022-01070-y 1 Bulletin of Mathematical Biology, v.84, no.10 Bulletin of Mathematical Biology 84 10 Y scie scopus 000852380200001 Biology Mathematical & Computational Biology Life Sciences & Biomedicine - Other Topics Mathematical & Computational Biology Article REPRODUCTION NUMBERS MODELS INFECTIONS VIRUSES SARS COVID-19 Vaccination Indirect transmission Mathematical modeling Identifiability