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If there is one thing we can be sure about the COVID-19 pandemic, it is that it caused an irruption of such magnitude throughout the world that the resonances of the multiple and varied changes it generated have yet to be seen. In relation to communication processes, the demand for information in real time increased and the media took center stage, especially in an initial period when the possibilities of intersubjective contrasts between people were diminished by the confinements. But this was not a constant: as the pandemic spread over time, it lost its novelty character and went from center stage to backdrop in media coverage. This research describes the thematic shifts and the predominant frames that La Nación, Clarín (in its digital versions) and Infobae deployed in their coverage of the pandemic between 2020 and 2022. Framed in the contributions of the agenda setting and framing theories, this paper starts with a quantitative content analysis and compares four specific time frames (April 2020, October 2020, May 2021 and January 2022), chosen for having represented significant peaks in the development of the pandemic in national health terms. The analysis shows that the concentration of the health issue, as well as the prominence of the variables that make up the morality and human interest frames were diluted over time, making the frames in the coverage of the issue less compact and more dispersed. [ABSTRACT FROM AUTHOR]

This paper analyzes the media agendas on the vaccination process against Covid-19 in the main digital media in Argentina and the consumption of these news on Facebook, the main world´s social network. From a content analysis on the most relevant news in digital media on the subject and on those with the highest level of engagement, it was intended to determine: 1) the thematic composition of both agendas; 2) the differential presence of actors and points of view in the news; 3) the predominant affective attributes in the media treatment and in the public agenda; and 4) the frames that shaped the information in each of the platforms. The results show the existence of news gaps in terms of topics and frames, in a context of a heavily concentrated media environment. [ABSTRACT FROM AUTHOR]

This paper presents a method to estimate excess mortality where national data are missing for some or all of the coronavirus disease 2019 (COVID-19) pandemic period, but subnational data exist, such as in Argentina. By making use of the stability of the regional distribution of deaths, data on deaths in Córdoba province were used to project excess deaths in Argentina from March 2020 up to the end of 2021. The number of excess deaths was estimated at 134 504, which is 14.8% higher than the reported number of COVID-19 deaths in Argentina for the same time period. [ABSTRACT FROM AUTHOR]

In this study, our aim is to explore the dynamics of COVID-19 or 2019-nCOV in Argentina considering the parameter values based on the real data of this virus from March 03, 2020 to March 29, 2021 which is a data range of more than one complete year. We propose a Atangana–Baleanu type fractional-order model and simulate it by using predictor–corrector (P-C) method. First we introduce the biological nature of this virus in theoretical way and then formulate a mathematical model to define its dynamics. We use a well-known effective optimization scheme based on the renowned trust-region-reflective (TRR) method to perform the model calibration. We have plotted the real cases of COVID-19 and compared our integer-order model with the simulated data along with the calculation of basic reproductive number. Concerning fractional-order simulations, first we prove the existence and uniqueness of solution and then write the solution along with the stability of the given P-C method. A number of graphs at various fractional-order values are simulated to predict the future dynamics of the virus in Argentina which is the main contribution of this paper. [ABSTRACT FROM AUTHOR]