Opendatabay APP

Guatemala Early Coronavirus Spread Data

Patient Health Records & Digital Health

Tags and Keywords

Coronavirus

Guatemala

Health

Pandemic

Cases

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Guatemala Early Coronavirus Spread Data Dataset on Opendatabay data marketplace

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Free

About

Provides crucial data regarding the initial spread of the coronavirus in Guatemala, a small Central American country. This collection captures the early impact and official case metrics following the confirmation of the first patient on 13 March 2020. It documents the period up to early April 2020, offering insight into the virus’s progression in a nation where the government implemented immediate, strong measures despite having less developed health infrastructure compared to Western nations. The dataset includes confirmed patient information, such as age, sex, nationality, and infection details.

Columns

The data summary file contains five fields:
  • date: Records the date corresponding to the reported data, formatted as yy-mm-dd.
  • confirmed: The cumulative count of confirmed COVID-19 cases.
  • recovered: The cumulative count of patients who have recovered from the virus.
  • deceased: The cumulative count of reported deaths attributed to the virus.
  • source: Indicates the data attribution, often linking to external URLs or marked as null when aggregated.

Distribution

The data is typically structured for easy access, often distributed as a CSV file. A sample summary file measures approximately 1.2 kB and contains 38 distinct records. For key metrics like confirmed, recovered, and deceased cases, the data integrity is sound, showing 100% validity with no missing or mismatched records across the available date range. Data updates are expected to occur weekly.

Usage

This information is ideal for calculating descriptive statistics and generating insightful visualisations of the virus’s growth trajectory. Users can apply the data to compare Guatemala’s response and spread rate against global scenarios, including countries that are successfully managing the pandemic, those actively attempting to ‘flatten the curve,’ and others just beginning to face significant impact. Researchers can utilise this material to infer critical information such as estimates of real infection numbers, project infection rates, and estimate potential risks for specific age and sex groups.

Coverage

The dataset focuses solely on the Republic of Guatemala. The temporal coverage spans the initial phase of the pandemic in the country, running from 1 March 2020 through to 7 April 2020. Patient-level data collected includes basic demographics such as age and sex, alongside details like nationality and the date/cause of infection. Further details are outlined in supporting documentation, such as the README_en.md file.

License

CC BY-NC-SA 4.0

Who Can Use It

  • Public Health Researchers: For modelling early pandemic dynamics and evaluating national response effectiveness.
  • Epidemiologists: To analyse infection rates, case fatality ratios, and estimate underlying population infection levels.
  • Government and Policy Analysts: For informing decision-making regarding public health mandates and resource allocation.
  • Data Scientists: For creating predictive models and cross-country comparative visualisations.

Dataset Name Suggestions

  • COVID-19 Guatemala Case Summary (March-April 2020)
  • Guatemala Early Coronavirus Spread Data
  • Central American Pandemic Response Tracker
  • Guatemala Daily Health Case Statistics

Attributes

Listing Stats

VIEWS

1

DOWNLOADS

0

LISTED

17/11/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in ZIP Format