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. 2017 Nov 6;1(2):260–303. doi: 10.1007/s41666-017-0010-9

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