Skip to main content
. 2014 Nov 19;9(11):e112255. doi: 10.1371/journal.pone.0112255

Figure 3. Generation of semi-synthetic testing datasets in six towns in Hubei, China, 2012/4/1–2013/6/30.

Figure 3

A) Simulated Outbreak Data (generated by SEIR model) and converted syndromic data (generated by healthcare-seeking behaviors model); B) Testing CV Data (simulated CV + CV baseline); C) Testing OTC Frequency Data (simulated OTC + OTC baseline); D) Testing SA Data (simulated SA + SA baseline). The pink epidemic was one of the simulated outbreaks generated by the SEIR model. This could be converted into simulated clinic visits (green), simulated OTC drug purchase frequency (red), and simulated school absence (black), according to the healthcare-seeking behaviors model. The first simulated outbreak was released on 2012/4/10. Simulated syndromic data were superimposed onto corresponding baselines on the same release period (see B, C, and D). Every simulation released one outbreak to generate three testing datasets, including testing CV data, testing OTC data, and testing SA data. The simulation was repeated day by day during the whole surveillance period (2012/4/10–2013/6/30). Testing SA data on vacation breaks were defaulted as “0.” CV: clinic visits; OTC: over-the-counter; SA: school absence; SEIR: Susceptible – Exposed – Infectious – Recovered model.