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Figure 1.

Structure of ISS platform.

ISS has four interconnected components: 1) work group and communication group; 2) data source and collection; 3) data visualization; and 4) outbreak detection and alerting.

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Figure 2.

Web-form for data collection in health center report.

The web-form for data collection in the ISS platform is very simple for users to fill in and it usually takes less than one minute for a familiar user to input one case. High-level users can also edit the web-form and define different checking rules for data input.

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Figure 3.

Chart examples in the dashboard.

Through the ISS platform, users have the ability to show the characteristics of data in the format of lines, bars and pies.

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Figure 4.

Running result of a detection model.

Each time when the user activates an alarm trigger, a running log will be generated and saved in the system, including data sources, model parameters, and detection time if the model threshold is exceeded to generate alerts.

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Figure 5.

Generated matrix of selected models using data source from health centers.

The generated matrix showed the running results of SheWhart and Cusum models when they were applied to the number of patients with four different symptoms in the four counties. Each point represents a model, and the red point represents there is one alert generated from this model based on the selected data source.

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Figure 6.

A system supervisor reminding a data collector to make corrections via QQ messenger in Chinese.

QQ messenger is popularly used for online communications in China. In the pilot study, we used QQ to create a communication platform for data quality control, like reminding a timely data reporting, correcting reporting mistakes, etc.

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Table 1.

Demographic characteristics of PTS in Qianjiang and Shayang counties during the pilot study (Aug.1, 2011– Jan.31, 2012).

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Table 2.

Distribution of the ten targeted symptoms in Qianjiang and Shayang County during the pilot study* (from Aug.1, 2011 to Jan.31, 2012).

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Figure 7.

Time series plots of six main symptoms in Qianjiang County (Aug.1, 2011–Jan.31, 2012).

The time series plots of the main symptoms in Qianjiang County was a screenshot from the Chart of the Dashboard in the ISS system, which provided users a preliminary description and analysis of rough data on daily numbers of each symptom in the county.

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Figure 8.

Time series plots of six main symptoms in Shayang County (Aug.1, 2011–Jan.31, 2012).

The time series plots of the main symptoms in Shayang County was a screenshot from the Chart of the Dashboard in the ISS system, which provided users a preliminary description and analysis of rough data on daily numbers of each symptom in the county.

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