Background The simulated Ebola dataset represents fictional case data for an educational exercise. The data includes: - Patient demographic information (age, gender, etc.). - Clinical information (date of onset, symptoms, outcomes). - Geographic details (hospital locations).
This dashboard aims to explore key trends in Ebola cases to illustrate data visualization techniques and provide insights into outbreak dynamics.
Ebola Cases Over Time This graph shows the number of Ebola cases reported by the date of symptom onset. The peak in cases occurs around April, highlighting a critical period in the simulated outbreak.
Aesthetic mapping:
* `text` -> `paste("Age Category:", age_cat, "<br>Date of Onset:", date_onset)`The map below shows the number of cases handled by each hospital during the simulated outbreak. Hospitals in urban areas recorded the highest case counts.
| Hospital | Cases |
|---|---|
| Port Hospital | 1762 |
| Missing | 1469 |
| Military Hospital | 896 |
| Other | 885 |
| Central Hospital | 454 |
| St. Mark’s Maternity Hospital (SMMH) | 422 |
Key Findings
Hospital Cases: Hospital A had the highest number of cases, with a median patient age of 35 years.
Epidemic Curve: The number of cases peaked between March and April, predominantly affecting patients aged 20–40.
Geographic Distribution: Most cases were clustered near urban hospitals.
These insights demonstrate the utility of visualization tools in understanding outbreak data.