Choose the first area to investigate
Compare population, patients, clinics, and hotspots for three areas by the same criteria and explain the follow-up order.
This step's question
Which area should be checked first: Junggye 4-dong, Seongnam-dong, or Junggye Bon-dong?
Why this matters now
A priority should not be based on graph node count or patient count alone. Compare population scale, patients, clinics, and hotspots for the same period and by the same criteria before choosing the follow-up order.
Try it yourself
In the COVID-19 Data Collection, open the Data tab for these four datasets in order.
- In Dong Information (
region_dong), record resident and floating population for Junggye 4-dong, Seongnam-dong, and Junggye Bon-dong. - In Patient Records (
patient_records), count rows for each of the three areas. - In Clinics (
clinics), count rows for each area. - In Hotspot Analysis Result (
hotspot_result), count rows for each area.
Combine the values from the four tables into one evidence table.
| Area | Resident population | Floating population | Patients | Clinics | Hotspots |
|---|---|---|---|---|---|
| Junggye 4-dong | 7,510 | 5,154 | 3 | 3 | 5 |
| Seongnam-dong | 2,110 | 1,533 | 3 | 3 | 3 |
| Junggye Bon-dong | 11,513 | 15,001 | 2 | 2 | 2 |
Success looks like this
The values recorded from the four datasets should match the evidence table. The analysis table below
applies this workshop's decision rule to those values.
Patients per 10,000 is patient count × 10,000 ÷ resident population. Signals met counts how
many of the patient-count, hotspot-count, and per-10,000 thresholds from the previous chapter are met.
Analysis table derived from the evidence table
| Order | Area | Patients | Hotspots | Patients per 10,000 | Clinics | Signals met |
|---|---|---|---|---|---|---|
| 1 | Junggye 4-dong | 3 | 5 | 3.99 | 3 | 2 |
| 2 | Seongnam-dong | 3 | 3 | 14.22 | 3 | 2 |
| 3 | Junggye Bon-dong | 2 | 2 | 1.74 | 2 | 0 |
Read the result
Junggye 4-dong and Seongnam-dong each meet two of the three signals. Junggye 4-dong exceeds the patient and hotspot thresholds; Seongnam-dong exceeds the patient and patients-per-10,000 thresholds. Because this investigation starts with movement intersections, choose Junggye 4-dong first: it has five hotspots, the larger count among areas tied on patient count. Check Seongnam-dong second because its population-adjusted patient signal is the largest. Keep Junggye Bon-dong under monitoring.
| Reading order | Observation across the four datasets | Analytical interpretation |
|---|---|---|
| 1. Number of signals met | Junggye 4-dong 2, Seongnam-dong 2, Junggye Bon-dong 0 | The first two areas are follow-up candidates. |
| 2. Signal most relevant to the investigation | Junggye 4-dong has 5 hotspots; Seongnam-dong has 3. | Start the movement review with Junggye 4-dong. |
| 3. Population-adjusted value not to overlook | Seongnam-dong has 14.22 patients per 10,000. | Follow immediately with Seongnam-dong. |
| 4. Response context | Clinic counts are 3, 3, and 2. | Counts are visible, but hours and capacity still need checking. |
Report it to the situation room
Applying the same criteria to the three areas, Junggye 4-dong and Seongnam-dong each meet two alert signals. Because the current objective is to investigate movement intersections, check Junggye 4-dong first because it has five hotspots. Check Seongnam-dong immediately afterward because it has the highest population-adjusted patient value, 14.22 per 10,000, and monitor Junggye Bon-dong. Revise this order after checking hotspot times and data freshness.
The report separates observed facts, the chosen rule, the conclusion, and remaining checks. A recipient can trace why Junggye 4-dong comes first and what new evidence could change the order.
Answer the opening question
Investigate Junggye 4-dong first. It ties for the highest patient count and has five hotspots, the signal most directly related to the movement-intersection objective. Do not omit Seongnam-dong: its population-adjusted signal is larger, so check it second. This uses both the analytical objective and a normalized measure instead of selecting an area from one raw count.
Extend the analysis
- Group
cross_start_timeto separate recent occurrences from older ones. - Add clinic hours or testing availability to compare actual response capacity.
- Display data refresh time so stale observations do not distort the order.
Verification checklist
- You compared all three areas by the same criteria.
- You can explain why Junggye 4-dong comes first and why Seongnam-dong follows immediately.
- You can explain that priority means investigation order, not confirmed risk.
- You can name additional information that could change the order.