High quality data and effective data quality assessment are required for accurately
evaluating the impact of public health interventions and measuring public health outcomes …

Malaysia is currently facing an outbreak of COVID-19. We aim to present the first study in
Malaysia to report the reproduction numbers and develop a mathematical model forecasting …

The quality of data in public health information systems can be ensured by effective data
quality assessment. In order to conduct effective data quality assessment, measurable data …

The health care system in Papua New Guinea is fragile, and surveillance systems
infrequently meet international standards. To strengthen outbreak identification, health …

Background Infectious disease surveillance has long been a challenge for countries like
India, where 75% of the health care services are private and consist of both formal and …

This study investigates some of the data quality challenges facing the HIV surveillance
system in the United States. Using the content analysis method, Center for Disease Control …

Background A dataset is indispensable to answer the research questions of clinical research
studies. Inaccurate data lead to ambiguous results, and the removal of errors results in …

With information technology, a traditional coronavirus disease (COVID-19) surveillance
system was improved with five additional features including auto-verification system …

Introduction Suicidal behaviors are one of the top ten causes of death worldwide. It is
recommended to prioritize the surveillance of suicide attempts, as this is a useful risk factor …

Vector-borne diseases account for 17% of the estimated global burden of all infectious
diseases. While malaria is still the deadliest vector-borne disease, dengue has become the …