Daily Monkeypox Case Characteristics and Trends

Columns

• ID: Unique Identifier for the case record.
• Status: Classification of the case (e.g., confirmed, suspected).
• Location: Geographic location of the case.
• City: Specific city where the subject was registered.
• Country: Country where the case was reported.
• Country_ISO3: Three-letter alphabet code for the country.
• Age: Age of the subject.
• Gender: Sex of the subject.
• Date_onset: Date when the infection started.
• Date_confirmation: Date when the infection was confirmed.
• Symptoms: Clinical symptoms observed in the patient (e.g., genital ulcer lesions).
• Hospitalised (Y/N/NA): Boolean indicating if the patient was hospitalised.
• Date_hospitalisation: Date of hospital admission.
• Isolated (Y/N/NA): Boolean indicating if the patient was isolated.
• Date_isolation: Date when isolation began.
• Outcome: Clinical outcome of the case (e.g., Death).
• Contact_comment: Context regarding contact tracing (e.g., Under investigation).
• Contact_ID: Identifier for the contact.
• Contact_location: Location where contact occurred (e.g., Household).
• Travel_history (Y/N/NA): Boolean indicating if the patient has a travel history.
• Travel_history_entry: Date of entry related to travel history.
• Travel_history_start: Start date of the travel history.
• Travel_history_location: General location of travel (e.g., Europe).
• Travel_history_country: Specific country visited during travel.
• Genomics_Metadata: Metadata regarding the genomic clade (e.g., West African Clade).
• Confirmation_method: Test used for confirmation (e.g., RT-PCR).
• Source: Primary URL source of the data.
• Source_II - Source_VII: Additional data sources used for verification or supplementation.
• Date_entry: Date the record was entered.
• Date_last_modified: Date the record was last modified.

Distribution

Usage

• Time Series Analysis: Tracking the progression of confirmed cases over time.
• Spatial Analysis: Mapping the global spread of the virus using Country and City data.
• Epidemiological Modelling: Analysing demographics (Age, Gender) and outcomes to understand risk factors.
• Public Health Response: Monitoring hospitalisation and isolation rates to manage resource allocation.

Coverage

• Geographic: Global coverage with data from 98 unique countries. The most common entries originate from Spain (19%) and the United States (14%).
• Temporal: The outbreak tracking begins in May 2022, with case confirmations and entry dates continuing through July 2022.
• Demographic: Includes Age and Gender data, though with significant missing values. The available data indicates a prevalence in the 20-69 age group and male gender.

License

Who Can Use It

• Epidemiologists: For tracking disease vectors and outbreak patterns.
• Data Journalists: To visualise the spread and impact of the virus for public awareness.
• Public Health Officials: For situational awareness and policy planning.
• Academic Researchers: For viral transmission studies and genomic metadata analysis.

Dataset Name Suggestions

• Global Monkeypox Epidemiological Daily Summary
• Worldwide Monkeypox Outbreak Tracker 2022
• Daily Monkeypox Case Characteristics and Trends

Attributes