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Argentina is the second Latin American country with the highest number of confirmed cases of COVID-19, with more than 10 million cases. By province, Buenos Aires ranked first in number of infections, with approximately 3.9 million cases recorded as of September 21, 2023, followed by the Autonomous City of Buenos Aires, Córdoba, and Santa Fe. As of that date, the province of Buenos Aires accounted for almost 39 percent of COVID-19 confirmed cases nationwide.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

With over ten million confirmed cases and more than 130,000 deaths reported as of May 11, 2025, Argentina is one of the most affected Latin American countries by the COVID-19 pandemic. The first positive cases and deaths related to the disease in Argentina were announced at the beginning of March 2020. Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

Argentina MSCOVID-19: No. of Deaths: To Date: Buenos Aires data was reported at 60,092.000 Person in 23 Apr 2022. This stayed constant from the previous number of 60,092.000 Person for 22 Apr 2022. Argentina MSCOVID-19: No. of Deaths: To Date: Buenos Aires data is updated daily, averaging 28,268.000 Person from Mar 2020 (Median) to 23 Apr 2022, with 779 observations. The data reached an all-time high of 60,092.000 Person in 23 Apr 2022 and a record low of 0.000 Person in 20 Mar 2020. Argentina MSCOVID-19: No. of Deaths: To Date: Buenos Aires data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table AR.D001: Ministry of Health: Coronavirus Disease 2019 (COVID-2019). Current day data is released daily between 9PM and 11PM Argentina Time. Weekend data are updated following Monday morning, Hong Kong Time. Previous day data revision is released daily between 7AM and 9AM Argentina Time.

This was an observational study that included all visits at health facilities of the public health system of the City of Buenos Aires (Gobierno de la Ciudad de Buenos Aires - GCABA) for children under 2 years of age, registered in the GCABA electronic health records, between January 1, 2018, and December 31, 2022. The visits occurred at one of the hospitals or primary care centers of the system

COVID-19 in hospitalized patients in 4 hospitals in San Isidro, Buenos Aires, Argentina. Patients admitted suspected of COVID-19

Argentina MSCOVID-19: Confirmed Cases: New: Buenos Aires data was reported at 0.000 Person in 23 Apr 2022. This stayed constant from the previous number of 0.000 Person for 22 Apr 2022. Argentina MSCOVID-19: Confirmed Cases: New: Buenos Aires data is updated daily, averaging 2,488.000 Person from Mar 2020 (Median) to 23 Apr 2022, with 779 observations. The data reached an all-time high of 53,260.000 Person in 20 Jan 2022 and a record low of 0.000 Person in 23 Apr 2022. Argentina MSCOVID-19: Confirmed Cases: New: Buenos Aires data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table AR.D001: Ministry of Health: Coronavirus Disease 2019 (COVID-2019). Current day data is released daily between 9PM and 11PM Argentina Time. Weekend data are updated following Monday morning, Hong Kong Time. Previous day data revision is released daily between 7AM and 9AM Argentina Time.

From March 22 to April 14, 2020, nitrogen dioxide air pollution levels in Buenos Aires, Argentina have decreased weekly when compared to the first ten days of March, reaching a reduction of 60 percent between April 5 and 14. In the following weeks, the city's pollution level showed a constant level, equivalent to a 40 percent decrease in comparison to the baseline. Nitrogen dioxide (NO₂) is a gaseous air pollutant and has a direct connection to fossil fuel emissions. Changes in air pollution levels are related to a reduction in industrial activity and traffic circulation in urban areas, a consequence of lockdown measures enforced globally in an attempt to limit the spread of the coronavirus pandemic. The first case of COVID-19 was reported in Argentina on March 3, with a total lockdown implemented on March 20.

Llamados diarios realizados a la línea de atención 147 relacionados a COVID-19

Este conjunto de datos reúne información sobre la asignación de turnos para la vacunación contra COVID-19 en la Ciudad de Buenos Aires. Contiene datos sobre los turnos otorgados desde 2021, así como la disponibilidad y cantidad de turnos tomados, permitiendo analizar la evolución del plan de vacunación y la demanda de inmunización en distintos períodos.

First case of a person infected with the novel coronavirus in Argentina was reported on March 3, 2020. One day earlier, on March 2, 2020, 3.16 million inhabitants of the metropolitan region of Buenos Aires watched TV news. Approximately two weeks and 130 reported cases later, on March 19, 2020, the number of viewers increased to 4.53 million. In 2018, the region had nearly 15 million inhabitants. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Argentina MSCOVID-19: Confirmed Cases: To Date: Buenos Aires data was reported at 3,550,069.000 Person in 23 Apr 2022. This stayed constant from the previous number of 3,550,069.000 Person for 22 Apr 2022. Argentina MSCOVID-19: Confirmed Cases: To Date: Buenos Aires data is updated daily, averaging 979,504.000 Person from Mar 2020 (Median) to 23 Apr 2022, with 779 observations. The data reached an all-time high of 3,550,069.000 Person in 23 Apr 2022 and a record low of 1.000 Person in 07 Mar 2020. Argentina MSCOVID-19: Confirmed Cases: To Date: Buenos Aires data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table AR.D001: Ministry of Health: Coronavirus Disease 2019 (COVID-2019). Current day data is released daily between 9PM and 11PM Argentina Time. Weekend data are updated following Monday morning, Hong Kong Time. Previous day data revision is released daily between 7AM and 9AM Argentina Time.

The Coronavirus Disease 2019 (COVID-19) is a zoonotic disease caused by the pandemic virus SARS-CoV-2. Domestic and wild animals are susceptible to infection and are potential reservoirs for virus variants. To date, there is no information about the exposure of companion animals in Buenos Aires Suburbs, the area with the largest population in Argentina where the highest number of COVID-19 human cases occurred during the first infection wave. Here we developed a multi-species indirect ELISA to measure antibodies reactive to the SARS-CoV-2 receptor-binding domain (RBD) from several vertebrates constituting the class Mammalia, making it a valuable tool for field serosurveillance. The ELISA cut-off value was estimated by sera from dogs, cats, cattle, and pigs sampled before 2019 (n = 170), considering a 98% percentile and a grey zone to completely exclude any false positive result. Specificity was confirmed by measuring levels of neutralizing antibodies against canine coronavirus, the avidity of specific antibodies, and their capacity to impede the binding of a recombinant RBD protein to VERO cells in an In-Cell ELISA. Sera from 464 cats and dogs sampled in 2020 and 2021 (“pandemic” samples) were assessed using the RBD-ELISA. Information on COVID-19 disease in the household and the animals’ lifestyles was collected. In Buenos Aires Suburbs cats were infected at a higher proportion than dogs, seroprevalence was 7.1 and 1.68%, respectively. Confirmed COVID-19 in the caregivers and outdoor lifestyle were statistically associated with seropositivity in cats. The risk of cats getting infected living indoors in COVID-19-negative households was null. The susceptibility of mammals to SARS-CoV-2, the possibility of transmission between animals themselves and humans, together with the free-roaming lifestyle typical of Buenos Aires suburban companion animals, urge pursuing responsible animal care and avoiding human interaction with animals during the disease course. The multi-species RBD-ELISA we developed can be used as a tool for serosurveillance of SARS-CoV-2 infection in mammalians (domestic and wild), guiding further targeted virological analyses to encounter susceptible species, interspecies transmission, and potential virus reservoirs in our region.

Cantidad de entrevistas y designaciones de trabajadores de la Salud como medida de fortalecimiento del sistema sanitario en el contexto de la pandemia covid-19

Este conjunto de datos registra la cantidad de interacciones en BOTI, el chatbot del Gobierno de la Ciudad de Buenos Aires, relacionadas con el triage virtual durante la pandemia de Coronavirus. La información se presenta desglosada por hora, permitiendo analizar la demanda del servicio en distintos momentos del día y evaluar el impacto de la herramienta en la atención y orientación de la ciudadanía durante la crisis sanitaria.

Secretaría General y Relaciones Internacionales. Ente de Turismo (ENTUR) Información relativa a los pasajeros repatriados alojados en centros extra-hospitalarios

Información sobre los testeos realizados para los visitantes de la Ciudad y los residentes que vuelven de sus vacaciones. Los datos están desagradados por género, grupos de edad y el centro donde se realizó el testeo. Además, se incluye la ubicación geográfica de estos centros.

Información con los diferentes puntos de acceso habilitados en relación al COVID-19

Abstract This paper presents a synchronic analysis of the diseases during the emergence of COVID-19, the management and impact of the lockdown, and how the media narrated these events in working-class neighborhoods of the metropolitan areas of Buenos Aires and Gran Resistencia from March to November 2020. We resorted to quantitative methods on secondary sources to describe poverty and syndemics and conducted week-by-week ethnographic and media research on 38 neighborhoods with water shortages and critical overcrowding. As a result, COVID-19 syndemically emerged with dengue, measles, and tuberculosis, and the preventive measures exacerbated institutional and gender violence, the Werther effect, and the neglect of other illnesses. Ethnography revealed syndemics with noncommunicable diseases and the influence of structural violence on health. The media analysis shows interest in the districts associated with the fear of contagion, but they disappear from the media agenda once dispelled.

Dataset for the joint analysis of dengue and COVID-19 syndemic in Buenos Aires Authonomous City (Argentina), from epidemiological week 1 to 22, 2020. Each row represents a census radius (the minimal census unit by INDEC).