Communities Detection in Multiplex Networks Using Optimization: Study Case—Employment in Mexico during the COVID-19 Pandemic

Table 1

Related work about COVID-19 and employment.

Author	Approach	Main findings
Cohen [10]	Statistical, sociological, and economic for tracking employment	Existing and new methods for tracking employment statistics leave more questions than answers
Blustein et al. [11]	Psychological to analyze unemployment crisis caused by COVID-19	The results show that parallel loss of work and loss of life evokes a unique kind of pain
Llop-Gironés et al. [12]	Sociological analysis for working and employment conditions of nurses	The analysis shows that many nurses around the world face precarious working and employment conditions, which the COVID-19 pandemic has further exacerbated
Webb et al. [13]	Analysis of informal employment	During the pandemic, people in informal employment often receive less government support than those in formal employment
Gezici et al. [14]	An economy on the basis of the analysis of the probability of unemployment among different groups in the US	There are significant racial disparities in the probability of being unemployed
Samaniego [15]	Economic analysis of job loss in Mexico	Immediate measures are necessary to protect the employment and income of workers who have become unemployed in Mexico
Ruiz-Ramirez [16]	Economic analysis of employment and underemployment in Mexico	The labor market in both the formal and informal sectors has been negatively impacted by COVID-19 and there is a reduction in the economic activity