Philippine Disease Cases Data (2017-2021)

This secondary data is from the Philippine Integrated Disease Surveillance and Response (PIDSR) and Epidemiology and Disease Control Surveillance (EDCS) weekly reports, issued by the Public Health Surveillance Division of the DOH. These reports, containing data from 2017 to 2021 on diseases like Acute Flaccid Paralysis, Diphtheria, Measles, Rubella, Neonatal Tetanus, Non-neonatal Tetanus, Chikungunya, Dengue, Leptospirosis, Rabies, Acute Bloody Diarrhea, Hepatitis A, Cholera, Rotavirus, Typhoid Fever, Influenza-Like Illness, and Meningococcal Disease, were compiled from various health facilities nationwide. The dataset addressed challenges like missing observations and cumulative case counts in its 260 weekly case observations for each disease. To the dataset, differences between weekly confirmed cases were calculated, and missing data were imputed using multiple imputation with predictive mean matching. The dataset was used in the study that aims to evaluate the underreporting of disease cases during the COVID-19 by analyzing significant differences between the actual and forecasted observations (from forecasting models). The R scripts used to execute the methodology of the study are available at https://github.com/samjohnparr/PH_Disease_Underreporting.