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In this paper, we examine the paradoxes of hailing health care workers as "Covid-19 heroes" in Canada and the United Kingdom. We ask how public discourses—primarily by governments, politicians, mainstream media, but also by racially minoritized groups and migrant-led associations—frame the ambiguous social and legal status of mostly women of color "essential" health care workers during the pandemic. We argue that hailing is a form of conditional inclusion. Hailing involves both the camouflaging of individuals' low-class status, precarious position in the workplace, gendered and racially minoritized positionality and insecure/non-permanent immigration status on the one hand, as well as the potential for resistance, emancipation, wider organizing, and claims-making on the other. Through a focus on Filipino/a workers because of their high levels of representation as health care staff in both contexts, our empirical analysis underlines that hailing as conditional inclusion is asymmetrical and unequal. It enables co-optation and deflection from structural inequalities as the price of conditional inclusion of selected individuals and groups. However, at the same time, hailing generates resistance. Through "tiny openings" these contradictions are named, and the binary language of inclusion/exclusion is challenged. [ABSTRACT FROM AUTHOR]

Gender norms, roles and relations differentially affect women, men, and non-binary individuals' vulnerability to disease. Outbreak response measures also have immediate and long-term gendered effects. However, gender-based analysis of outbreaks and responses is limited by lack of data and little integration of feminist analysis within global health scholarship. Recognising these barriers, this paper applies a gender matrix methodology, grounded in feminist political economy approaches, to evaluate the gendered effects of the COVID-19 pandemic and response in four case studies: China, Hong Kong, Canada, and the UK. Through a rapid scoping of documentation of the gendered effects of the outbreak, it applies the matrix framework to analyse findings, identifying common themes across the case studies: financial discrimination, crisis in care, and unequal risks and secondary effects. Results point to transnational structural conditions which put women on the front lines of the pandemic at work and at home while denying them health, economic and personal security – effects that are exacerbated where racism and other forms of discrimination intersect with gender inequities. Given that women and people living at the intersections of multiple inequities are made additionally vulnerable by pandemic responses, intersectional feminist responses should be prioritised at the beginning of any crises. [ABSTRACT FROM AUTHOR]

This paper aims to find a statistical model for the COVID-19 spread in the United Kingdom and Canada. We used an efficient and superior model for fitting the COVID 19 mortality rates in these countries by specifying an optimal statistical model. A new lifetime distribution with two-parameter is introduced by a combination of inverted Topp-Leone distribution and modified Kies family to produce the modified Kies inverted Topp-Leone (MKITL) distribution, which covers a lot of application that both the traditional inverted Topp-Leone and the modified Kies provide poor fitting for them. This new distribution has many valuable properties as simple linear representation, hazard rate function, and moment function. We made several methods of estimations as maximum likelihood estimation, least squares estimators, weighted least-squares estimators, maximum product spacing, Cram e ´ r-von Mises estimators, and Anderson-Darling estimators methods are applied to estimate the unknown parameters of MKITL distribution. A numerical result of the Monte Carlo simulation is obtained to assess the use of estimation methods. also, we applied different data sets to the new distribution to assess its performance in modeling data. [ABSTRACT FROM AUTHOR]