Table 9.
In this table, we present queries we collected by interviewing various epidemiologists (native queries)
| No. | English query | 5W1H question | Data needed to answer the query |
|---|---|---|---|
| Q1 | What is the gender of an infected individual? | WHAT | Experiment, dendogram, person |
| Q2 | What is the household location of an infected person and where he has been in past few days and why? | WHAT, WHERE | Experiment, dendogram, person, household, location, activity |
| Q3 | How many preschool children information are used in Seattle strong flu experiment? | HOW | Experiment, area, subpopulations |
| Q4 | What are the interventions used in Seattle strong flu experiment? | WHAT | Experiment, interventions |
| Q5 | How many people get infected after the intervention? | HOW | Experiment, dendogram, interventions |
| Q6 | What is the demographic information of an infected person? | WHAT | Experiment, dendogram, person |
| Q7 | How many people of a particular demographic are sick on the first day of the simulation? | HOW | Experiment, dendogram |
| Q8 | Who infected whom of a particular demographic? | WHO | Experiment, dendogram |
| Q9 | How long does a person stay in infected state? | HOW | Experiment, dendogram |
| Q10 | Given the demographic location and disease type finds an infected person, in that location and, also find what are the activities he/she performed, in last few days? | WHO, WHAT, WHERE | Experiment, dendogram, person, activities |
These are the example queries frequently asked in the computational networked epidemiology domain. We present queries in plain English, their 5W1H question category, datasets needed to answer the queries, and their computational complexity