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

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.

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.

View daily updates and historical trends for Mexico Coronavirus Cases Per Day. Source: Johns Hopkins Center for Systems Science and Engineering. Track eco…

Mexico SALUD: COVID-19: Confirmed Cases: New data was reported at 0.000 Person in 24 Oct 2022. This stayed constant from the previous number of 0.000 Person for 23 Oct 2022. Mexico SALUD: COVID-19: Confirmed Cases: New data is updated daily, averaging 4,793.500 Person from Feb 2020 (Median) to 24 Oct 2022, with 970 observations. The data reached an all-time high of 60,552.000 Person in 19 Jan 2022 and a record low of 0.000 Person in 24 Oct 2022. Mexico SALUD: COVID-19: Confirmed Cases: New 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. As of Oct 07, cases confirmed by clinical-epidemiological association to COVID-19 are included on the count of Confirmed Cases and Deaths. These cases are suspected cases or those who has symptoms but were unable to have a test or received medical attention before dying.

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.

For the historic files from 12 April 2020 check my repo: Covid-19 Mexico public information

Context

Official posted data from the Mexican Health Department.

Content

Confirmed cases -> casos_confirmados

Suspicious cases -> casos_sospechosos

Complete information -> covid-19_general_MX

Acknowledgements

Secretaría de Salud - Mexican Gobernment: covid-19_general latest published information

historic covid-19_general

Independent suspicious and confirmed cases files stopped being distributed by the government on April 18th 2020 I'll add them again in case they publish them.

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.

WHO: COVID-2019: Number of Patients: Death: To-Date: Mexico data was reported at 334,947.000 Person in 24 Dec 2023. This stayed constant from the previous number of 334,947.000 Person for 23 Dec 2023. WHO: COVID-2019: Number of Patients: Death: To-Date: Mexico data is updated daily, averaging 308,304.000 Person from Feb 2020 (Median) to 24 Dec 2023, with 1403 observations. The data reached an all-time high of 334,947.000 Person in 24 Dec 2023 and a record low of 0.000 Person in 19 Mar 2020. WHO: COVID-2019: Number of Patients: Death: To-Date: Mexico data remains active status in CEIC and is reported by World Health Organization. The data is categorized under High Frequency Database’s Disease Outbreaks – Table WHO.D002: World Health Organization: Coronavirus Disease 2019 (COVID-2019): by Country and Region (Discontinued).

The number of COVID-19 vaccination doses administered in Mexico rose to 223158993 as of Oct 27 2023. This dataset includes a chart with historical data for Mexico Coronavirus Vaccination Total.

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.

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

As spatial analysis can contribute to the understanding of COVID-19 epidemic, we compiled and georeference data for Mexico. Data were compiled from the National Population Council (CONAPO), Google, the National Institute of Statistics and Geography (INEGI), and the Secretary of Health. The data describe the cases of COVID and characteristics of the population, such as distribution, mobility, and prevalence of chronic diseases such as diabetes, hypertension, and obesity. These data were processed to be compatible and georeferenced to a common geographic framework to facilitate spatial analysis in a geographic information system (GIS). The dataset comprises GIS layers (shape and geopackage files), tables (CSV formatted), and R scripts. A complete description was published in the journal Data in Brief (https://doi.org/10.1016/j.dib.2021.106843). From version 4, population data from the 2020 INEGI Population census are incorporated in the data. COVID data was updated to data available on July 1, 2022.

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

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.

Content

COVID-19 data for Mexico, consist of two main datasets: time_series_confirmed_MX: time series of confirmed cases by state. time_series_deaths_MX: time series of deaths by state The data will be updated every day at the start of Secretaría de Salud conference (18:00), with last information recived at 13:00.
If you want the data in github form: https://github.com/carloscerlira/COVIDMX.

Source

https://www.gob.mx/salud/archivo/documentos?idiom=es&filter_id=395&filter_origin=archive

dashelruiz/covid-19-mexico dataset hosted on Hugging Face and contributed by the HF Datasets community

Mexico SALUD: COVID-19: Confirmed Cases: To Date: Chiapas data was reported at 42,108.000 Person in 17 Aug 2022. This records an increase from the previous number of 41,936.000 Person for 16 Aug 2022. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Chiapas data is updated daily, averaging 10,653.000 Person from Feb 2020 (Median) to 17 Aug 2022, with 902 observations. The data reached an all-time high of 42,108.000 Person in 17 Aug 2022 and a record low of 0.000 Person in 29 Feb 2020. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Chiapas 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.

BackgroundSevere acute respiratory syndrome caused by a coronavirus (SARS-CoV-2) is responsible for the COVID-19 disease pandemic that began in Wuhan, China, in December 2019. Since then, nearly seven million deaths have occurred worldwide due to COVID-19. Mexicans are especially vulnerable to the COVID-19 pandemic as Mexico has nearly the worst observed case-fatality ratio (4.5%). As Mexican Latinos represent a vulnerable population, this study aimed to determine significant predictors of mortality in Mexicans with COVID-19 who were admitted to a large acute care hospital.MethodsIn this observational, cross-sectional study, 247 adult patients were consecutively admitted to a third-level referral center in Yucatan, Mexico, from March 1st, 2020, to August 31st, 2020, with COVID-19-related symptoms, participated in this study. Lasso logistic and binary logistic regression were used to identify clinical predictors of death.ResultsAfter a hospital stay of about eight days, 146 (60%) patients were discharged; however, 40% died by the twelfth day (on average) after hospital admission. Out of 22 possible predictors, five crucial predictors of death were found, ranked by the most to least important: (1) needing to be placed on a mechanical ventilator, (2) reduced platelet concentration at admission, (3) increased derived neutrophil to lymphocyte ratio, (4) increased age, and (5) reduced pulse oximetry saturation at admission. The model revealed that these five variables shared ~83% variance in outcome.ConclusionOf the 247 Mexican Latinos patients admitted with COVID-19, 40% died 12  days after admission. The patients’ need for mechanical ventilation (due to severe illness) was the most important predictor of mortality, as it increased the odds of death by nearly 200-fold.

Tracking how people’s lives are affected by the COVID-19 pandemic can enable policymakers to better understand the situation in their countries and make data-driven policy decisions. To respond to this need, IPA implemented the RECOVR panel survey to facilitate comparisons, document real-time trends of policy concern, and inform decision-makers about the communities that are hardest-hit by the economic toll of the pandemic. IPA has rolled out the RECOVR survey in Burkina Faso, Colombia, Côte d'Ivoire, Ghana, Metro Mexico City, the Philippines, Rwanda, Sierra Leone, and Zambia. We document severe negative shocks to employment, income and food security, and identify how families are caring for and educating their children during extended school closures.

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.