100+ datasets found
  1. Latest Coronavirus COVID-19 figures for Mexico

    • covid19-today.pages.dev
    json
    Updated Jul 30, 2025
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for Mexico [Dataset]. https://covid19-today.pages.dev/countries/mexico/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Mexico
    Description

    In past 24 hours, Mexico, North America had N/A new cases, N/A deaths and N/A recoveries.

  2. COVID-19 cases and deaths in Mexico 2025

    • statista.com
    Updated May 12, 2025
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    Statista (2025). COVID-19 cases and deaths in Mexico 2025 [Dataset]. https://www.statista.com/statistics/1107063/mexico-covid-19-cases-deaths/
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    Dataset updated
    May 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - May 11, 2025
    Area covered
    Mexico
    Description

    The first case of COVID-19 in Mexico was detected on March 1, 2020. By the end of the year, the total number of confirmed infections had surpassed 1.4 million. Meanwhile, the number of deaths related to the disease was nearing 148,000. On May 11, 2025, the number of cases recorded had reached 7.6 million, while the number of deaths amounted to around 335,000. The relevance of the Omicron variant Omicron, a highly contagious COVID-19 variant, was declared of concern by the World Health Organization (WHO) at the end of November 2021. As the pandemic unfolded, it became the variant with the highest share of COVID-19 cases in the world. In Latin America, countries such as Colombia, Argentina, Brazil, and Mexico were strongly affected. In fact, by 2023 nearly all analyzed sequences within these countries corresponded to an Omicron subvariant. Beyond a health crisis As the COVID-19 pandemic progressed worldwide, the respiratory disease caused by the virus SARS-CoV-2 virus first detected in Wuhan brought considerable economic consequences for countries and households. While Mexico’s gross domestic product (GDP) in current prices declined in 2020 compared to the previous year, a survey conducted among adults during the first months of 2021 showed COVID-19 impacted families mainly through finances and employment, with around one third of households in Mexico reporting an income reduction and the same proportion having at least one household member suffering from the disease.Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

  3. COVID-19 cases in Mexico 2023, by state

    • statista.com
    Updated Sep 15, 2023
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    Statista (2023). COVID-19 cases in Mexico 2023, by state [Dataset]. https://www.statista.com/statistics/1109180/mexico-coronavirus-cases-state/
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    Dataset updated
    Sep 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    As of August 2, 2023, Mexico was the third Latin American country with the highest number of confirmed cases of COVID-19, reaching over 7.6 million patients. By federate entity, Mexico City ranked first in number of confirmed cases, with around 1.9 million infections recorded by September 21, 2023. The State of Mexico followed with 760,699 reported cases of the disease.

    The leading cause of death in Mexico in 2020
    In 2020, COVID-19 was the leading cause of death in Mexico. The country reported its first fatal case due to the disease in March 2020. Since then, the number of COVID-19 deaths has increased steadily, reaching 334,336 deaths as of August 2, 2023. These figures place Mexico fifth in the total number of deaths related to COVID worldwide and second in Latin America, just after Brazil.

    Mexico’s vaccination strategy Mexico began its vaccination campaign at the end of December 2020, an immunization strategy that prioritized healthcare workers and those most at risk of developing severe COVID-19, such as the older population. With more than 223 million vaccines administered as of August 14, 2023, Mexico ranked as the Latin American country with the second highest number of applied vaccines, while slightly over three quarters of its population received at least one vaccine dose against the disease by March 2023.

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

  4. Covid-19 Data from mexico

    • kaggle.com
    zip
    Updated May 3, 2022
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    TavoGLC (2022). Covid-19 Data from mexico [Dataset]. https://www.kaggle.com/datasets/tavoglc/covid19-data-from-mexico
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    zip(143801999 bytes)Available download formats
    Dataset updated
    May 3, 2022
    Authors
    TavoGLC
    Description

    About

    Contains the positive cases information up to may 2022 from Mexico. Image by the author.

    "Información referente a casos COVID-19 en México " publicado por SALUD del gobierno de Mexico https://datos.gob.mx/busca/dataset/informacion-referente-a-casos-covid-19-en-mexico 01/05/2022

  5. COVID-19 Mexico Clean & Order by States

    • kaggle.com
    zip
    Updated Sep 18, 2020
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    Andres J Ramos (2020). COVID-19 Mexico Clean & Order by States [Dataset]. https://www.kaggle.com/andresjramos/covid19-mexico-clean-order-by-states
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    zip(410916 bytes)Available download formats
    Dataset updated
    Sep 18, 2020
    Authors
    Andres J Ramos
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Mexico
    Description

    Context

    The data obtained from the Mexico's General Direction of Epidemiology contains multiple information on the current pandemic situation. However, these data are saturated with features that may not be very useful in a predictive analysis.

    Due to this I decided to clean and format the original data and generate a dataset that groups confirmed, dead, recovered and active cases by State, Municipality and Date.

    This is very useful if you want to generate geographically specific models

    Content

    The data set contains the covid cases columns (positive, dead, recovered and active) that are counted by state and municipality.

    I.e

    SateMunicipalityDateDeathsConfirmedrecoveredActive
    Ciudad de MexicoIztapalapa2020-07-18142041
    Ciudad de MexicoIztapalapa2020-07-19014014
    Ciudad de MexicoIztapalapa2020-07-20041041

    Would you like to see the data cleaning notebook? You can check it in my Github

    Classification criteria

    • Recovered cases: If the patient is not dead and it has been more than 15 days then he is considered as recovered.
    • Active cases: If the patien isn't recovered an isn't dead then is active

    Time lapse

    The first documented case is on 2020-01-13. The dataset will be updated every day adding new cases

    Acknowledgements

    For this project, the data are obtained from the official URL of the government of México whose author is “Dirección General de Epidemiología”:

    Corona Virus Data: https://www.gob.mx/salud/documentos/datos-abiertos-152127

    Data Dictionary: https://www.gob.mx/salud/documentos/datos-abiertos-152127

    Differences in results

    According to the official results obtained from: https://coronavirus.gob.mx/datos/

    • The main difference between the official data and this dataset is in the recovered cases. This is because the Mexican government only considers outpatient cases when counting recovered cases. This dataset considers outpatient and inpatient cases when counting recovered people.

    • The second difference is some rows that contained nonsense information(I think this was a data collection error by the institution), these were eliminated.

  6. M

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco

    • ceicdata.com
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    CEICdata.com, Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco [Dataset]. https://www.ceicdata.com/en/mexico/ministry-of-health-coronavirus-disease-2019-covid2019/salud-covid19-confirmed-cases-to-date-jalisco
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 6, 2022 - Aug 17, 2022
    Area covered
    Mexico
    Description

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco data was reported at 277,335.000 Person in 17 Aug 2022. This records an increase from the previous number of 276,948.000 Person for 16 Aug 2022. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco data is updated daily, averaging 86,289.000 Person from Feb 2020 (Median) to 17 Aug 2022, with 902 observations. The data reached an all-time high of 277,335.000 Person in 17 Aug 2022 and a record low of 0.000 Person in 13 Mar 2020. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco 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 MX.D001: Ministry of Health: Coronavirus Disease 2019 (COVID-2019) (Discontinued). Current day data is released daily between 7PM and 11PM Mexico City Time. Weekend data are updated following Monday morning, Hong Kong Time. Number of Confirmed Cases are based on the state where it is reported.

  7. u

    Coronavirus Response

    • covid19.ciga.unam.mx
    • ciga-coronavirus-mexico-ciga-unam.hub.arcgis.com
    Updated Apr 1, 2020
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    Centro de Investigaciones en Geografia Ambiental UNAM (2020). Coronavirus Response [Dataset]. https://covid19.ciga.unam.mx/datasets/CIGA-UNAM::coronavirus-response
    Explore at:
    Dataset updated
    Apr 1, 2020
    Dataset authored and provided by
    Centro de Investigaciones en Geografia Ambiental UNAM
    Description

    Coronavirus Response is a collection of maps and apps that can be used by Public Health agencies to understand the impact of the coronavirus (COVID-19) and share authoritative information about the pandemic with your community.Learn More

  8. Mexico COVID-19 clinical data

    • kaggle.com
    zip
    Updated Jun 5, 2020
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    Mariana R Franklin (2020). Mexico COVID-19 clinical data [Dataset]. https://www.kaggle.com/datasets/marianarfranklin/mexico-covid19-clinical-data/code
    Explore at:
    zip(6399963 bytes)Available download formats
    Dataset updated
    Jun 5, 2020
    Authors
    Mariana R Franklin
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Mexico
    Description

    Mexico COVID-19 clinical data 🦠🇲🇽

    This dataset contains the results of real-time PCR testing for COVID-19 in Mexico as reported by the [General Directorate of Epidemiology](https://www.gob.mx/salud/documentos/datos-abiertos-152127).

    The official, raw dataset is available in the Official Secretary of Epidemiology website: https://www.gob.mx/salud/documentos/datos-abiertos-152127.

    You might also want to download the official column descriptors and the variable definitions - e.g. SEXO=1 -> Female; SEXO=2 -> Male; SEXO=99 -> Undisclosed) - in the following [zip file](http://datosabiertos.salud.gob.mx/gobmx/salud/datos_abiertos/diccionario_datos_covid19.zip). I've maintained the original levels as described in the official dataset, unless otherwise specified.

    IMPORTANT: This dataset has been maintained since the original data releases, which weren't tabular, but rather consisted of PDF files, often with many/different inconsistencies which had to be resolved carefully and is annotated in the .R script. More later datasets should be more reliable, but earlier there were a lot of things to figure out like e.g. when the official methodology to assign the region of the case was changed to be based on residence rather than origin). I've added more notes on very early data here: https://github.com/marianarf/covid19_mexico_data.

    [More official information here](https://datos.gob.mx/busca/dataset/informacion-referente-a-casos-covid-19-en-mexico/resource/e8c7079c-dc2a-4b6e-8035-08042ed37165).

    Motivation

    I hope that this data serves to as a base to understand the clinical symptoms 🔬that characterize a COVID-19 positive case from another viral respiratory disease and help expand the knowledge about COVID-19 worldwide.

    👩‍🔬🧑‍🔬🧪

    With more models tested, added features and fine-tuning, clinical data could be used to predict a patient with pending COVID-19 results will get a positive or a negative result in two scenarios:

    • As lab results are processed, this leaves a window when it's uncertain whether a result will return positive or negative (this is merely didactic, as new reports will corroborate the prediction as soon as the laboratory data for missing cases is reported).
    • More importantly, it could help predict for similar symptoms e.g. from a survey or an app that checks for similar data (ideally, containing most of the parameters that can be assessed without using variables only available after hospitalization, like e.g. age of the person which is readily available).

    The value of the lab result comes from a RT-PCR, and is stored in RESULTADO, where the original data is encoded 1 = POSITIVE and 2 = NEGATIVE.

    Source

    The data was gathered using a "sentinel model" that samples 10% of the patients that present a viral respiratory diagnosis to test for COVID-19, and consists of data reported by 475 viral respiratory disease monitoring units (hospitals) named USMER (Unidades Monitoras de Enfermedad Respiratoria Viral) throughout the country in the entire health sector (IMSS, ISSSTE, SEDENA, SEMAR, and others).

    Preprocess

    Data is first processed with this [this .R script](https://github.com/marianarf/covid19_mexico_analysis/blob/master/notebooks/preprocess.R). The file containing the processed data will be updated daily until. Important: Since the data is updated to Github, assume the data uploaded here isn't the latest version, and instead, load data directly from the 'csv' [in this github repository](https://raw.githubusercontent.com/marianarf/covid19_mexico_analysis/master/mexico_covid19.csv).

    • The data aggregates official daily reports of patients admitted in COVID-19 designated units.
    • New cases are usually concatenated at the end of the file, but each individual case also contains a unique (official) identifier 'ID_REGISTRO' as well as a (new) unique reference 'id' to remove duplicates.
    • I fixed a specific change in methodology in reporting, where the patient record used to be assigned in ENTIDAD_UM (the region of the medical unit) but now uses ENTIDAD_RES (the region of residence of the patient).
    Note: I have preserved the original structure (column names and factors) as closely as possible to the official data, so that code is reproducible in cross-reference to the official sources. ### Added features

    In addition to original features reported, I've included missing regional names and also a field 'DELAY' which corresponds to the lag in the processing lab results (since new data contains records from the previous day, this allows to keep track of this lag).

    Additional info

    ...

  9. M

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Queretaro

    • ceicdata.com
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    CEICdata.com, Mexico SALUD: COVID-19: Confirmed Cases: To Date: Queretaro [Dataset]. https://www.ceicdata.com/en/mexico/ministry-of-health-coronavirus-disease-2019-covid2019/salud-covid19-confirmed-cases-to-date-queretaro
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 6, 2022 - Aug 17, 2022
    Area covered
    Mexico
    Description

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Queretaro data was reported at 175,142.000 Person in 17 Aug 2022. This records an increase from the previous number of 174,943.000 Person for 16 Aug 2022. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Queretaro data is updated daily, averaging 69,521.500 Person from Feb 2020 (Median) to 17 Aug 2022, with 902 observations. The data reached an all-time high of 175,142.000 Person in 17 Aug 2022 and a record low of 0.000 Person in 10 Mar 2020. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Queretaro 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 MX.D001: Ministry of Health: Coronavirus Disease 2019 (COVID-2019) (Discontinued). Current day data is released daily between 7PM and 11PM Mexico City Time. Weekend data are updated following Monday morning, Hong Kong Time. Number of Confirmed Cases are based on the state where it is reported.

  10. T

    Mexico Coronavirus COVID-19 Cases

    • tradingeconomics.com
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, Mexico Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/mexico/coronavirus-cases
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 18, 2020 - May 17, 2023
    Area covered
    Mexico
    Description

    Mexico recorded 7603871 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Mexico reported 334013 Coronavirus Deaths. This dataset includes a chart with historical data for Mexico Coronavirus Cases.

  11. Socioeconomic Impact of COVID-19, 2021 - Mexico

    • microdata.unhcr.org
    • datacatalog.ihsn.org
    • +2more
    Updated Mar 22, 2022
    + more versions
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    UNHCR (2022). Socioeconomic Impact of COVID-19, 2021 - Mexico [Dataset]. https://microdata.unhcr.org/index.php/catalog/643
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    Dataset updated
    Mar 22, 2022
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Authors
    UNHCR
    Time period covered
    2021
    Area covered
    Mexico
    Description

    Abstract

    The COVID-19 pandemic is first and foremost a health shock, but the secondary economic shock is equally formidable. Access to timely, policy-relevant information on the awareness of, responses to and impacts of the health situation and related restrictions are critical to effectively design, target and evaluate programme and policy interventions. This research project investigates the main socioeconomic impacts of the pandemic on UNHCR people of concern (PoC) – and nationals where possible – in terms of access to information, services and livelihoods opportunities. Three geographic regions were taken into consideration: Southern Mexico, Mexico City and the Northern and Central Industrial Corridor. Two rounds of data collection took place for this survey, with the purpose of following up with the respondents.

    Geographic coverage

    Southern Mexico, Mexico City, Northern and Central Mexico

    Analysis unit

    Household

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The ProGres database served as the sampling frame due to the unavailability of other reliable sources. Likewise, the sample was stratified by location and population groups based on country of origin helping to account for the different economic realities from one part of the country to another, as well as differences between nationalities. Following discussion with the UNHCR country team and regional bureau, three geographic regions were presented for consideration : a) Southern Mexico; b) Mexico City; and c) the Northern and Central Industrial Corridor. Additionally, partners expressed interest in the Venezuelan community as a separate group, primarily residing in Mexico City, Monterrey and Cancun. The population of the four groups represents 67% of the active registered refugees in Mexico. Out of the 35,140 refugee households in the four regions, 26,688 families have at least one phone number representing an overall high rate of phone penetration. Across regions of interest, Hondurans make up the single largest group of PoC in Southern Mexico (38%), and the Northern and Central Industrial Corridor (43%), whereas Venezuelans make up over half of the PoC population in Mexico City (52%). Based on the above, a sampling strategy based on four separate strata was proposed in order to adequately represent the regions and sub-groups of interest: 1. Southern Mexico – Honduran and El Salvadoran PoC population 2. Mexico City – Honduran, El Salvadoran and Cuban PoC population 3. Northern and Central Industrial Corridor – Hondurans and El Salvadoran PoC population 4. Venezuelan Population – Mexico City, Monterey (Nuevo Leon) and Cancun (Quintana Roo) A comparable sub-sample of the national population in the same locations PoC were sampled was also generated using random digit dialing (RDD). This was made possible through the inclusion of location-based area codes in the list of phone numbers, however selected participants were also asked about their current location as a first filter to proceed with the phone survey to ensure a comparable national sub-sample.

    Mode of data collection

    Computer Assisted Telephone Interview [cati]

    Research instrument

    Questionnaire contained the following sections: consent, knowledge, behaviour, access, employment, income, food security, concerns, resilience, networks, demographics

  12. u

    COVID-19 Map Comorbilidades

    • covid19.ciga.unam.mx
    • ciga-coronavirus-mexico-ciga-unam.hub.arcgis.com
    • +1more
    Updated Apr 7, 2020
    + more versions
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    Centro de Investigaciones en Geografia Ambiental UNAM (2020). COVID-19 Map Comorbilidades [Dataset]. https://covid19.ciga.unam.mx/maps/5fa189c2fef4470f802dbc5ff2c54967
    Explore at:
    Dataset updated
    Apr 7, 2020
    Dataset authored and provided by
    Centro de Investigaciones en Geografia Ambiental UNAM
    Area covered
    Description

    This map features satellite imagery for the world and high-resolution aerial imagery for many areas. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Imagery map service description.

  13. covid-mexico

    • kaggle.com
    zip
    Updated Apr 3, 2020
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    Adan Galvan (2020). covid-mexico [Dataset]. https://www.kaggle.com/datasets/adangalvan/covidmexico/versions/6
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    zip(378114 bytes)Available download formats
    Dataset updated
    Apr 3, 2020
    Authors
    Adan Galvan
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Mexico
    Description

    Context

    Currently the Dirección General de Epidemiología publishes a daily report of people who might be positive case of COVID-19, unfortunately the format is in pdf

    I wanted to make this information easy to consume for data analysis and visualization.

    Content

    This data set is the daily report about people who might be a positive case of COVID-19, the same data from Coronavirus (COVID-19) -Comunicado Técnico Diario but in .csv format

    https://www.gob.mx/salud/documentos/nuevo-coronavirus-2019-ncov-comunicado-tecnico-diario

    Acknowledgements

    Many thanks to Dirección General de Epidemiología for publishing the daily reports

  14. u

    COVID-19 Municipios DIABETES

    • covid19.ciga.unam.mx
    • ciga-coronavirus-mexico-ciga-unam.hub.arcgis.com
    Updated Jul 26, 2020
    + more versions
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    Centro de Investigaciones en Geografia Ambiental UNAM (2020). COVID-19 Municipios DIABETES [Dataset]. https://covid19.ciga.unam.mx/maps/d0b10ec316a844cba067e3058b96c742
    Explore at:
    Dataset updated
    Jul 26, 2020
    Dataset authored and provided by
    Centro de Investigaciones en Geografia Ambiental UNAM
    Area covered
    Description

    This map features satellite imagery for the world and high-resolution aerial imagery for many areas. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Imagery map service description.

  15. M

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Oaxaca

    • ceicdata.com
    Updated Feb 15, 2019
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    CEICdata.com (2019). Mexico SALUD: COVID-19: Confirmed Cases: To Date: Oaxaca [Dataset]. https://www.ceicdata.com/en/mexico/ministry-of-health-coronavirus-disease-2019-covid2019/salud-covid19-confirmed-cases-to-date-oaxaca
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    Dataset updated
    Feb 15, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 6, 2022 - Aug 17, 2022
    Area covered
    Mexico
    Description

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Oaxaca data was reported at 144,158.000 Person in 17 Aug 2022. This records an increase from the previous number of 143,948.000 Person for 16 Aug 2022. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Oaxaca data is updated daily, averaging 46,424.000 Person from Feb 2020 (Median) to 17 Aug 2022, with 902 observations. The data reached an all-time high of 144,158.000 Person in 17 Aug 2022 and a record low of 0.000 Person in 13 Mar 2020. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Oaxaca 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 MX.D001: Ministry of Health: Coronavirus Disease 2019 (COVID-2019) (Discontinued). Current day data is released daily between 7PM and 11PM Mexico City Time. Weekend data are updated following Monday morning, Hong Kong Time. Number of Confirmed Cases are based on the state where it is reported.

  16. f

    datasheet1_Epidemiological Characteristics of COVID-19 in Mexico and the...

    • datasetcatalog.nlm.nih.gov
    Updated Dec 21, 2020
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    Ricardo, Cristy Leonor Azanza; Hernandez-Vargas, Esteban A. (2020). datasheet1_Epidemiological Characteristics of COVID-19 in Mexico and the Potential Impact of Lifting Confinement Across Regions.pdf [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000554254
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    Dataset updated
    Dec 21, 2020
    Authors
    Ricardo, Cristy Leonor Azanza; Hernandez-Vargas, Esteban A.
    Area covered
    Mexico
    Description

    The novel coronavirus SARS-CoV-2 has paralyzed our societies, leading to self-isolation and quarantine for several days. As the 10th most populated country in the world, Mexico is on a major threat by COVID-19 due to the limitations of intensive care capacities, about 1.5 hospital beds for every 1,000 citizens. In this paper, we characterize the COVID-19 pandemic in Mexico and projected different scenarios to evaluate sharp or gradual quarantine lifting strategies. Mexican government relaxed strict social distancing regulations on June 1, 2020, deriving to pandemic data with large fluctuations and uncertainties of the tendency of the pandemic in Mexico. Our results suggest that lifting social confinement must be gradually sparse while maintaining a decentralized region strategy among the Mexican states. To substantially lower the number of infections, simulations highlight that a fraction of the population that represents the elderly should remain in social confinement (approximately 11.3% of the population); a fraction of the population that represents the confined working class (roughly 27% of the population) must gradually return in at least four parts in consecutive months; and to the last a fraction of the population that assumes the return of students to schools (about 21.7%). As the epidemic progresses, deconfinement strategies need to be continuously re-adjusting with the new pandemic data. All mathematical models, including ours, are only a possibility of many of the future, however, the different scenarios that were developed here highlight that a gradual decentralized region deconfinement with a significant increase in healthcare capacities is paramount to avoid a high death toll in Mexico.

  17. COVID-19 cases in Latin America 2025, by country

    • statista.com
    Updated Jun 5, 2025
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    Statista (2025). COVID-19 cases in Latin America 2025, by country [Dataset]. https://www.statista.com/statistics/1101643/latin-america-caribbean-coronavirus-cases/
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    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Latin America, Americas
    Description

    Brazil is the Latin American country affected the most by the COVID-19 pandemic. As of May 2025, the country had reported around 38 million cases. It was followed by Argentina, with approximately ten million confirmed cases of COVID-19. In total, the region had registered more than 83 million diagnosed patients, as well as a growing number of fatal COVID-19 cases. The research marathon Normally, the development of vaccines takes years of research and testing until options are available to the general public. However, with an alarming and threatening situation as that of the COVID-19 pandemic, scientists quickly got on board in a vaccine marathon to develop a safe and effective way to prevent and control the spread of the virus in record time. Over two years after the first cases were reported, the world had around 1,521 drugs and vaccines targeting the COVID-19 disease. As of June 2022, a total of 39 candidates were already launched and countries all over the world had started negotiations and acquisition of the vaccine, along with immunization campaigns. COVID vaccination rates in Latin America As immunization against the spread of the disease continues to progress, regional disparities in vaccination coverage persist. While Brazil, Argentina, and Mexico were among the Latin American nations with the most COVID-19 cases, those that administered the highest number of COVID-19 doses per 100 population are Cuba, Chile, and Peru. Leading the vaccination coverage in the region is the Caribbean nation, with more than 406 COVID-19 vaccines administered per every 100 inhabitants as of January 5, 2024.For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  18. u

    COVID-19 Estados incidencia

    • covid19.ciga.unam.mx
    • ciga-coronavirus-mexico-ciga-unam.hub.arcgis.com
    Updated Jun 14, 2020
    + more versions
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    Centro de Investigaciones en Geografia Ambiental UNAM (2020). COVID-19 Estados incidencia [Dataset]. https://covid19.ciga.unam.mx/maps/9c828709095b4ba99a2ed1f2e7e3bb9d
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    Dataset updated
    Jun 14, 2020
    Dataset authored and provided by
    Centro de Investigaciones en Geografia Ambiental UNAM
    Area covered
    Description

    This map features satellite imagery for the world and high-resolution aerial imagery for many areas. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Imagery map service description.

  19. T

    Mexico Coronavirus COVID-19 Recovered

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, Mexico Coronavirus COVID-19 Recovered [Dataset]. https://tradingeconomics.com/mexico/coronavirus-recovered
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    excel, xml, csv, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 28, 2020 - Dec 15, 2021
    Area covered
    Mexico
    Description

    Mexico recorded 1997381 Coronavirus Recovered since the epidemic began, according to the World Health Organization (WHO). In addition, Mexico reported 296983 Coronavirus Deaths. This dataset includes a chart with historical data for Mexico Coronavirus Recovered.

  20. M

    Project Tycho Dataset; Counts of COVID-19 Reported In MEXICO: 2019-2021

    • catalog.midasnetwork.us
    • tycho.pitt.edu
    • +1more
    + more versions
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    MIDAS Coordination Center, Project Tycho Dataset; Counts of COVID-19 Reported In MEXICO: 2019-2021 [Dataset]. http://doi.org/10.25337/T7/ptycho.v2.0/MX.840539006
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    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    MIDAS Coordination Center
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Time period covered
    Dec 30, 2019 - Jul 31, 2021
    Area covered
    Country
    Variables measured
    Viruses, disease, COVID-19, pathogen, mortality data, Population count, infectious disease, viral Infectious disease, vaccine-preventable Disease, viral respiratory tract infection, and 1 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    This Project Tycho dataset includes a CSV file with COVID-19 data reported in MEXICO: 2019-12-30 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

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Worldometers (2025). Latest Coronavirus COVID-19 figures for Mexico [Dataset]. https://covid19-today.pages.dev/countries/mexico/
Organization logo

Latest Coronavirus COVID-19 figures for Mexico

Explore at:
jsonAvailable download formats
Dataset updated
Jul 30, 2025
Dataset provided by
Worldometershttps://dadax.com/
CSSE at JHU
License

https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

Area covered
Mexico
Description

In past 24 hours, Mexico, North America had N/A new cases, N/A deaths and N/A recoveries.

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