Rodríguez Aguilar, Román
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Rodríguez Aguilar, Román
Official Name
Rodríguez Aguilar, Román
Alternative Name
Rodríguez-Aguilar, Román
Rodríguez-Aguilar, R.
Aguilar, R.R.
Rodriguez-Aguiler, R.
Rodríguez, R.
Roman, R.A.
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ORCID
Scopus Author ID
56717663000
Researcher ID
AAO-6158-2020

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Dynamics of prices and consumption of unhealthy foods as a monitoring tool of the strategy against obesity in Mexico

2020 , Lozano-Díez, José Antonio , Rodríguez Aguilar, Román

Introduction: Mexico faces an epidemic of overweight and obesity, in 2018 75% of adults were overweight or obese. This condition as a risk factor generates a significant financial impact in the Health Sector. In response, the National Strategy for Prevention and Control of Overweight, Obesity, and Diabetes was implemented in 2013, which included as one of its pillars the implementation of fiscal policies. As part of fiscal policy, taxes were established on sugary drinks and foods with high-calorie content. Seven years after the implementation of the Strategy to control the epidemic of overweight and obesity, there have been some results. However, it is necessary to continue working and especially monitoring the performance of the different actions implemented. Objectives: Propose an analytical intelligence model for monitoring the fiscal policies implemented to control overweight and obesity in Mexico. Methods: The proposed analytical intelligence model considers three methodological bases, a) price index of healthy and unhealthy foods through Principal Component Analysis, b) volatility measurement of both baskets through a GARCH model and c) monitoring of consumption patterns through household income and expenditure surveys. Results: The main results identified a price differential between the baskets of products healthy and unhealthy, especially at the beginning of the fiscal policy. Healthy products have higher price volatility than unhealthy products and according to consumption patterns, on average Mexican households spend 30% of their food expenditure on unhealthy products. Conclusion: To strengthen fiscal actions to control overweight and obesity, it is recommended to have monitoring systems for the dynamic design and implementation of public policies. Although taxes have reduced in some grade the consumption of unhealthy products, it is necessary to promote the affordability of healthy products, helping to improve the diet of Mexican households. © 2019 José Antonio Lozano Díez & Roman Rodríguez Aguilar, licensed to European Alliance for Innovation.

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An analytical intelligence model for the management of resources for the treatment of high-cost diseases: the case of HIV in Mexico

2020 , Rodríguez Aguilar, Román , Rivera-Peña, Gustavo

In the health sector, it is very important to have adequate control over the allocation of resources; this becomes much more relevant in the case of high-cost diseases, HIV is one example of this. The use of analytical intelligence allows the transformation of raw data into meaningful and useful information to make decisions. To support the management of resources in the health sector an analytical intelligence model based on survival analysis of patients under antiretroviral treatment in the Ministry of Health of Mexico is proposed. A survival model was carried out using a cohort of people with HIV under antiretroviral treatment attended by the Ministry of Health for the period 2007–2015. Sociodemographic variables, viral load, dates of treatment initiation and death were used. Kaplan–Meier method and the logarithmic rank test, as well as the Cox proportional-hazard model, were used. The proposed model can serve as a strategic information management tool for decision-making about the care and financing of high-cost diseases in the health sector. The results show that the probability of survival in people with HIV is higher for currently preferred treatments for treatment initiation and recently incorporated. Increasing the level of CD4 for the start of treatment generates greater probabilities of survival for patients. It is necessary to comprehensively evaluate the prescription and initiation of treatment policies according to CD4 levels to guarantee the financial sustainability of antiretroviral treatment in the Ministry of Health since these measures imply greater use of resources. It would be helpful to implement this type of analytical intelligence model for the monitoring and management of resources in the health sector. © Springer Nature

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Sentiment Analysis Model on Twitter About Video Streaming Platforms in Mexico

2021 , Rodríguez Aguilar, Román

This work addresses the analysis of the content of the comments on Twitter in the period from December 2020 to February 2021 on the video streaming platforms in Mexico: Netflix, Disney+ and Prime Video. The analysis involves the extraction of comments on Twitter, cleaning the text and the development of a supervised support model for Text Mining for the sentiment classification of tweets in the categories: Positive, Negative or Neutral (spam); as well as the use of resampling techniques to measure the variability of the model’s performance and improve the precision of its parameters. The result allows the measurement of user satisfaction levels and the detection of the most dissatisfied and liked aspects of the platforms. Finally, a business intelligence dashboard was developed in Power BI for the interactive visualization of the results under different information filters. The results show that there is a large percentage of Neutral tweets (spam) that refer mainly to advertising about new releases. Netflix’s satisfaction level is the highest compared to the rest of the platforms due to the liking for its original series, variety, and dynamism of launches; on the contrary, the most unpleasant aspect is removing content from your catalog. For its part, Disney+ has satisfaction lower due to the limited variety of its catalog and the expense involved. In the case of Prime Video, lower levels of satisfaction are observed for removing content from its catalog and for paying more than one platform per month. The application of this methodology could benefit in measurement of satisfaction levels, understanding, decision-making and monitoring of new strategies implemented by the platforms.

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