- entities and professionals involved;
- surveilled persons;
- registered infections (suspected, probable, confirmed, recovered);
- tests performed (waiting for results, positive, negative);
- known links between those infected;
- calls to the Health Helpdesk Support Line, when this line exists (symptoms, age, gender, relevant conditions, contacts, geographical location, the advice provided);
- characterization of the suspected/infected (age, gender, geographical location, contacts, habits, morbidity factors, other relevant clinical conditions);
- clinical evolution: incubation time, therapeutics, medical parameters;
- detection and surveillance of people from infected areas.
Data collection into VirVi, simultaneously introduced by a large number of professionals, is structured to normalize and streamline the use of the information collected, focused on this specific emergency.
Effectively, viruses are different and the most dangerous are entirely new, as it happens with COVID-19. The VirVi data structure is created for each virus global outbreak, considering also the healthcare system of the country, state, or region where it is implemented. Symptoms, therapeutics, equipment, training, almost everything depends on each pandemic. Demographics, healthcare organization, resources available, routines, all have large differences from one country to another. So VirVi offers a focused solution for each pair (country, virus).
VirVi can provide simple key indicators, statistics, and maps. However, VirVi is only responsible for collecting real-time required data, in a standard way, with a high level of quality, accuracy, and availability. There are lots of ways to present, compose, and extract great information from existing data. VirVi doesn’t aim to replace them. VirVi aims to be a reliable source of all the relevant data for analysis. If this reliable source is not available, GIGO (Garbage In, Garbage Out) rule applies.
As a GIGO example, during the current COVID-19 crisis, there is a lot of data about infected people, but no coherent information about the number of tests run by country. Thus, no comparison is consistent, no forecast is possible, and no decision is based on real facts.