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. 2021 Dec 13;118(51):e2111455118. doi: 10.1073/pnas.2111455118

Fig. 3.

Fig. 3.

The schematic of COVID-19 case and UMD-CTIS surveillance signal benchmarking globally. For each country and territory, the 7-d smoothed COVID-19 case counts from Our World in Data (A) are compared to the survey-weighted CTIS surveillance measure. (B) The CCLI signal for Bolivia and Italy is shown for illustrative purposes. The survey-weighted sum of “yes” responses to the surveillance questions (here the CCLI survey question) for each week was divided by the sum of survey weights for all surveys over a 7-d window. (C) Time series were normalized to a range of 0 to 1using minimum and maximum during the survey period to allow within- and between-locale comparison of trends across a range of values using color intensity. (D) For each country/territory (rows), we combined normalized time series with log10 of the number of surveys (black bar chart), percent surveys per population (white bar chart), age and gender distributions (stacked bar charts), peak day (solid black circle, benchmark; open colored shapes, signals) and the benchmark–signal correlation strength (green) in the form of an annotated heatmap.