Launched in project mode (World Bank supported 2004)

Later became program mode & renamed as IDSP

IDSP is a decentralized, state-based surveillance system; lowest reporting unit is sub-centre

Intended to detect early warning signals for selected communicable diseases & respond within a reasonable time to reduce morbidity and mortality

A web enabled near real-time reporting system accessible at all levels from villages to national level.

Integrates data from various ’registries’ to provide real-time information on health surveillance

Uses the latest technologies and digital health initiatives.

From across India for decision-makers to take action. The platform has been implemented in 7 states of the country in pilot mode

Although structurally the same as the IDSP, there are some significant functional changes to achieve the original objectives envisaged for the IDSP

The ANM daily (real-time) feeds syndromic, case-wise (disaggregated) information through tablets (Namely ANMOL tablets) along with the geocoded location of the cases for geographic reference.

Such data is synchronized directly to the server.

System captures real-time disaggregated data (case-based surveillance) and links data from S, P, L & EWS forms to cover 33+ disease conditions

Therefore, the district, state, and central surveillance unit (DSU, SSU, and CSU) will be able to view and analyze the data immediately, & act

Surveillance activities have developed in an uneven way;

Establishing surveillance in vertical programs allows many activities to be gathered allowing surveillance control function (different methods, terminology, forms, schedules); specialized surveillance

Eradication programs may require very active surveillance

Dropping non-specific & high volume conditions (e.g. AGE except Cholera), data to be driven by the need to use the data

Appropriate feedback from the higher unit to the lower unit

Enhanced ability to analyse & act on information being generated

Adequate supportive supervision for the ANMs/MOs, and the ethical challenges associated with dealing with case-based information, like data confidentiality

Estimates of a health problem – including changes in trends, patterns

Natural history of disease

Detection of epidemics

Distribution and spread of a health event

Hypothesis testing

Evaluating control and prevention measures

Monitoring change

Detecting changes in health practice

Facilitate planning