Fig. 1 Trends in call volume and suspected dengue cases measured during 2012 and 2013. (A) Time series of calls (red), suspected dengue cases (black), and awareness campaigns (green points). Scale normalized by dividing by individual maximum values. The x-axis label is in week of the year. (B) Density map of calls across towns in Lahore. (C) Density map of cases across towns in Lahore. The lightest shade represents the least number, and the darkest shade represents the highest number. The legend is normalized by the maximum value. Lat, latitude; long, longitude.
- Table 1 Random forest importance weights for parameters of the model trained over the total year and season (July to November).
Parameter Average IncNodePurity Total Season Calls 424.34 172.08 Awareness 274.28 158.41 Rainfall 123.14 50.89 Humidity 287.40 81.65 Temperature 349.38 137.61
Supplementary Materials
Supplementary material for this article is available at http://advances.sciencemag.org/cgi/content/full/2/7/e1501215/DC1
fig. S1. Cross-correlation between suspected incidences reported at hospitals and calls received at the health hotline in Lahore for the year 2012.
fig. S2. Town-wise predictions of 3-week log-suspected incidence forecast from ensemble model based on calls and weather data.
fig. S3. Town-wise predictions of 3-week log-suspected incidence forecast from ensemble model based on calls, cases, and weather data.
fig. S4. Town-wise predictions of 2-week log-suspected incidence forecast from generalized linear model based on calls and weather data.
fig. S5. Town-wise predictions of 2-week log-suspected incidence forecast from location-dependent ensemble model based on weather data.
table S1. RMSE values between predicted and actual number of log-suspected cases for various models trained on coarse-grained city-level data set.
Additional Files
Supplementary Materials
This PDF file includes:
- fig. S1. Cross-correlation between suspected incidences reported at hospitals and calls received at the health hotline in Lahore for the year 2012.
- fig. S2. Town-wise predictions of 3-week log-suspected incidence forecast from ensemble model based on calls and weather data.
- fig. S3. Town-wise predictions of 3-week log-suspected incidence forecast from ensemble model based on calls, cases, and weather data.
- fig. S4. Town-wise predictions of 2-week log-suspected incidence forecast from generalized linear model based on calls and weather data.
- fig. S5. Town-wise predictions of 2-week log-suspected incidence forecast from location-dependent ensemble model based on weather data.
- table S1. RMSE values between predicted and actual number of log-suspected cases for various models trained on coarse-grained city-level data set.
Files in this Data Supplement:
