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Background: COVID-19 pandemic emerged in China, Wuhan in December, 2019. This pandemic has affected most domains of quality of life (QoL) for all individuals.  Objective: The aim of this study was to assess the quality of life among disabled persons and healthy-normal individuals during COVID-19 pandemic to compare it with their QoL before COVID-19 pandemic, in Jordan. Methods: Six hundred and thirty nine able-bodied participants (33.8 ± 11.3 years) and 143 disabled individuals (46.8 ± 16.4 years) completed the WHOQOL-BREF (a tool used to measure Quality of life) which is consisted of 24 items distributed in four domains (physical health, psychology, social relationships and environment) and 2 items on overall quality of life and general health. The survey was distributed to participants online through social media (WhatsApp, Facebook, emails) between 12th June and 18th July 2021.  Results: Quality of life values were higher in able-bodied participants for physical health (65.5 ± 16.3 vs. 56.2 ± 19.8), social relationships 63.2 ± 19.7 vs. 55.3 ± 21.1) and environment (53.6 ± 16.6 vs. 49.8 ± 17.9) domains. The quality of life correlated positively with individuals’ income for both groups and higher in all domains for physically active compared to non-physically active participants. Screen time significantly increased during COVID-19 for both groups. Conclusion: The authors recommended that more attention should be paid to all items of quality of life during COVID-19, particularly with regard to disabled persons, and to potential deleterious effects which may result from sedentary lifestyle behavior such as higher screen time usage during COVID-19.

Cholera is an acute enteric infectious disease caused by the Gram-negative bacterium Vibrio Cholerae. Despite a huge body of research, the precise nature of its transmission dynamics has yet to be fully elucidated. Mathematical models can be useful to better understand how an infectious agent can spread and be properly controlled. We develop a compartmental model describing a Human population, a bacterial population as well as a phage population. We show that there might be eight equilibrium points; one of which is a disease free equilibrium point. We carry out numerical simulations and sensitivity analyses and we show that the presence of phage can reduce the number of infectious individuals. Moreover, we discuss the main implications in terms of public health management and control strategies.