The number of COVID-19 vaccination doses administered per 100 people in Mexico rose to 175 as of Oct 27 2023. This dataset includes a chart with historical data for Mexico Coronavirus Vaccination Rate.

This is the survey through which the data was collected to know the perception of the Mexican population during the mandatory quarantine during phase 2 of the COVID-19 pandemic, in the month of April 2020. Incudes: General data , Knowledge of the virus , Current health status , Work status , Economy , Emotional state and Media (relationship of images with emotions perception).

We are releasing a Twitter dataset connected to our project Digital Narratives of Covid-19 (DHCOVID) that -among other goals- aims to explore during one year (May 2020-2021) the narratives behind data about the coronavirus pandemic.

In this first version, we deliver a Twitter dataset organized as follows:

• Each folder corresponds to daily data (one folder for each day): YEAR-MONTH-DAY
• In every folder there are 9 different plain text files named with "dhcovid", followed by date (YEAR-MONTH-DAY), language ("en" for English, and "es" for Spanish), and region abbreviation ("fl", "ar", "mx", "co", "pe", "ec", "es"):
  1. dhcovid_YEAR-MONTH-DAY_es_fl.txt: Dataset containing tweets geolocalized in South Florida. The geo-localization is tracked by tweet coordinates, by place, or by user information.
  2. dhcovid_YEAR-MONTH-DAY_en_fl.txt: We are gathering only tweets in English that refer to the area of Miami and South Florida. The reason behind this choice is that there are multiple projects harvesting English data, and, our project is particularly interested in this area because of our home institution (University of Miami) and because we aim to study public conversations from a bilingual (EN/ES) point of view.
  3. dhcovid_YEAR-MONTH-DAY_es_ar.txt: Dataset containing tweets from Argentina.
  4. dhcovid_YEAR-MONTH-DAY_es_mx.txt: Dataset containing tweets from Mexico.
  5. dhcovid_YEAR-MONTH-DAY_es_co.txt: Dataset containing tweets from Colombia.
  6. dhcovid_YEAR-MONTH-DAY_es_pe.txt: Dataset containing tweets from Perú.
  7. dhcovid_YEAR-MONTH-DAY_es_ec.txt: Dataset containing tweets from Ecuador.
  8. dhcovid_YEAR-MONTH-DAY_es_es.txt: Dataset containing tweets from Spain.
  9. dhcovid_YEAR-MONTH-DAY_es.txt: This dataset contains all tweets in Spanish, regardless of its geolocation.

For English, we collect all tweets with the following keywords and hashtags: covid, coronavirus, pandemic, quarantine, stayathome, outbreak, lockdown, socialdistancing. For Spanish, we search for: covid, coronavirus, pandemia, quarentena, confinamiento, quedateencasa, desescalada, distanciamiento social.

The corpus of tweets consists of a list of Tweet Ids; to obtain the original tweets, you can use "Twitter hydratator" which takes the id and download for you all metadata in a csv file.

We started collecting this Twitter dataset on April 24th, 2020 and we are adding daily data to our GitHub repository. There is a detected problem with file 2020-04-24/dhcovid_2020-04-24_es.txt, which we couldn't gather the data due to technical reasons.

For more information about our project visit https://covid.dh.miami.edu/

For more updated datasets and detailed criteria, check our GitHub Repository: https://github.com/dh-miami/narratives_covid19/

Title: The impact of COVID-19 on chronic care patients health care utilization and health outcomes in Haiti, Malawi, Mexico and Rwanda Original data source: Electronic Medical Records Date range: March 1st, 2019-Feb 28th, 2021 Geographic region: Non-representative subnational regions of Haiti, Malawi, Mexico, and Rwanda Clinical populations: Diabetes, HIV, and hypertension patients Level of data: Aggregated by country, sex, age category, clinical population, and pre- vs post-COVID-19 period Size of the data: 35 KB Research question/s that use the dataset 1. Has the COVID-19 pandemic changed the risk of poor clinical outcomes among chronic care patients living with HIV, cardiovascular disease and diabetes programs in Haiti, Malawi, Mexico and Rwanda? 2. Among these patients, how has care utilization changed during the COVID-19 pandemic? Useful Links https://icoda-research.org/project/dp-pih-covco/

Data access information: In order to request access to data, please contact Jean Claude Mugunga, jmugunga@pih.org, with a description of your study team, your research questions, and which countr(ies) and clinical program(s) you would like data for. Note that Dr. Mugugna will reach out to representatives from each country you request data from for approval before sharing the data.

ObjectiveThis paper describes the impact that the different COVID-19 related restrictions have had on the mental health and wellbeing of 57 Central American and Caribbean immigrants stranded in Mexico due to the pandemic.MethodsEthnographic data was obtained through the application of in-depth interviews centered on topics such as migration history, personal experience with COVID-19 and beliefs about the pandemic. This information was further analyzed through a narrative approach and Atlas Ti.Main findingsUS Title 42 and the Migrant Protection Protocols (MPP) have stranded thousands of individuals in the US-Mexico border region, a situation that has overcrowded the available shelters in the area and forced many of the immigrants to live on the streets and in improvised encampments. Thus, exposing them to a higher risk of contagion. Furthermore, the majority of the interviewed Central American and Caribbean immigrants consider that Mexico is more lenient when it comes to the enforcement of sanitary measures, especially when compared to their countries of origin. Finally, vaccination hesitancy was low among the interviewees, mainly due to the operative aspects of the vaccination effort in Mexico and the fear of ruining their chances to attain asylum in the US. These findings are backed up by the discovery of five recurring narratives among the interviewees regarding: (1) The pandemic's psychological impact. (2) The uncertainty of being stranded in Mexico and the long wait. (3) Their fear of violence over the fear of contagion. (4) The perceived leniency of Mexico with the pandemic when compared to their countries of origin, and (5) their beliefs about the pandemic and vaccines.Key findingThe mental health of stranded Central American and Caribbean immigrants in Mexico during the COVID-19 pandemic is mostly affected by their inability to make it across the US-Mexico border using legal means.

Amid the COVID-19 outbreak, the ENCOVID-19 provides information on the well-being of Mexican households in four main domains: labor, income, mental health, and food insecurity. It offers timely information to understand the social consequences of the pandemic and the lockdown measures. It is a project consisting of a series of cross-sectional telephone surveys collected in key moments of the COVID-19 pandemic. In addition to the four main domains and a set of COVID19-related questions, the survey includes new key indicators every month to capture the impact of the pandemic on issues like education, social programs, and crime. This is the sixth dataset of the project, corresponding to March 2021, collected one year after the lockdown began in Mexico. Data collection was performed from February 26 to March 27, 2021. The project was approved by the Ethics Committee from Universidad Iberoamericana with the registry: CONBIOÉTICA-09—CEI-008-2016060. Funding for this porject provided by Universidad Iberoamericana and UNICEF. If international researchers require additional information, please contact Victor Perez (victor.hernandez@ibero.mx) or Pablo Gaitán-Rossi (pablo.gaitan@ibero.mx) {"references": ["Teruel Belismelis, G., & Perez-Hernandez, V. (2021). Estudiando el bienestar durante la pandemia de Covid-19: la Encovid-19. Revista Mexicana de Sociolog\u00ed\u00ada, doi:http://dx.doi.org/10.22201/iis.01882503p.2021.0.60071"]}

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.

After implementing Phase 1 of the High-Frequency Phone Survey (HFPS) project in Latin America and The Caribbean in 2020, the World Bank conducted Phase 2 in 2021 to continue to assess the socio-economic impacts of the COVID-19 pandemic on households. This new phase, conducted in partnership with the UNDP LAC Chief Economist office, included two waves. Wave 1 covering 24 countries. Wave 2 collected between October and December 2022, covering 22 countries. Of these countries, 13 participated in Phase 1: Argentina, Bolivia, Colombia, Costa Rica, Chile, Dominican Republic, Ecuador, El Salvador, Guatemala, Honduras, Mexico, Paraguay and Peru. Countries that joined in Phase 2 are: Antigua & Barbuda and Brazil (only in Wave 1), Belize, Dominica, Guyana, Haiti, Jamaica, Nicaragua, Panama, St. Lucia and Uruguay.

This study presents information from 23 countries for which data was collected between May and July 2021. Brazil was integrated into the LAC HFPS Phase 2 project at a later point and was implemented with a slightly different approach. See the project information here: https://microdata.worldbank.org/index.php/catalog/4533. For information on the LAC HFPS Phase 1, see here:
https://pubdocs.worldbank.org/en/238561622829862035/HFPS-TECHNICAL-NOTE-MAY2021-FINAL.pdf

MUL and related indicators for all national and first-level sub-national populations in Brazil, China, Italy, Mexico, Peru, Spain, and the United States of America. (XLSX)

Amid the COVID-19 outbreak, the ENCOVID-19 CDMX provides information on the well-being of Mexico City households in four main domains: labor, income, mental health, and food insecurity. It offers timely information to understand the social consequences of the pandemic and the lockdown measures. It is a cross-sectional telephone survey that, in addition to the four main domains and a set of COVID19-related questions, includes key indicators to capture the impact of the pandemic on issues like education, social programs, and crime. This is the third dataset of the project, corresponding to July 2021, collected 15 months after the lockdown began in Mexico. Data collection was performed from July 19 to 31, 2021.

Sensitivity analysis using actual age distribution for the Netherlands. (XLSX)