India’s disease surveillance system operates through a carefully designed three-tier approach that catches diseases at different stages. The Integrated Disease Surveillance Programme uses three distinct reporting formats to track epidemic-prone diseases from the grassroots level to laboratory confirmation, creating a robust early warning system that has helped detect and respond to thousands of outbreaks across the country.

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The three-tier surveillance architecture

The IDSP surveillance system operates through three reporting formats known as S, P, and L forms. These forms represent three levels of diagnostic certainty, from initial symptom recognition to laboratory-confirmed diagnosis. Each form serves a specific purpose in the surveillance chain and is filled by different healthcare personnel at various levels of the health system.

This tiered approach allows the system to capture both the breadth and depth of disease surveillance. While syndromic surveillance casts a wide net to detect unusual patterns, presumptive and laboratory surveillance provide the specificity needed for targeted public health responses.

Syndromic surveillance: The first line of detection

The S Form represents the foundation of syndromic surveillance in India. This form is filled by health workers at sub-centers, including Auxiliary Nurse Midwives and multipurpose health workers, who collect data based on symptoms reported by patients or signs they observe during field visits or clinics.

How syndromic surveillance works

Health workers report cases based on symptom groups rather than specific diseases. These syndromes include fever, diarrhea, jaundice, cough, and other unusual symptoms. The beauty of this approach lies in its simplicity. Workers don’t need sophisticated diagnostic skills to identify and report patterns that might signal an emerging outbreak.

The S Form was simplified in 2009 when age and gender-specific data collection was removed to improve reporting and minimize errors. This change made the system more practical for frontline workers managing heavy workloads in rural areas.

Currently, syndromic data is analyzed at district and sub-district levels to investigate any clustering or unusual increases in symptoms. When health workers notice a spike in fever cases or an unusual pattern of diarrhea in a village, this becomes an alert for further investigation.

Presumptive surveillance: Clinical diagnosis by medical officers

The P Form captures presumptive or clinically suspected cases diagnosed by Medical Officers at health facilities. This second tier provides more specific disease information based on clinical examination and professional medical judgment.

The 22 diseases under presumptive surveillance

Medical Officers report on 22 specific diseases and syndromes through the P Form. These include Acute Diarrheal Disease, Bacillary Dysentery, Viral Hepatitis, Enteric Fever, Malaria, Dengue, Chikungunya, Acute Encephalitis Syndrome, Meningitis, Measles, Diphtheria, Pertussis, Chicken Pox, Fever of Unknown Origin, Acute Respiratory Infection or Influenza-Like Illness, Pneumonia, Leptospirosis, Acute Flaccid Paralysis in children under 15 years, Dog bite, Snake bite, and any state-specific diseases.

The form also has a provision to capture unusual syndromes not covered in the standard list. This flexibility allows the system to detect emerging health threats that don’t fit into predefined categories.

P Forms are filled at Primary Health Centers, Community Health Centers, government hospitals, medical colleges, and even private health facilities. This wide reporting network ensures comprehensive coverage of clinically diagnosed cases across both public and private sectors.

Laboratory surveillance: Confirmation through scientific testing

The L Form represents the highest level of diagnostic certainty in the IDSP system. Laboratory staff fill this form to report confirmed cases based on actual laboratory tests conducted at various levels of the health system.

The 12 diseases confirmed through laboratory testing

Laboratory surveillance focuses on 12 priority diseases that require confirmation through specific tests. These include Dengue or Dengue Hemorrhagic Fever or Dengue Shock Syndrome, Chikungunya, Japanese Encephalitis, Meningococcal Meningitis, Typhoid Fever, Diphtheria, Cholera, Shigella Dysentery, Viral Hepatitis A, Viral Hepatitis E, Leptospirosis, and Malaria.

The form captures both the number of samples tested and the number found positive for each disease. For diseases other than malaria, laboratories also maintain a line list with details of positive cases, including patient information and the specific test performed.

The laboratory network

The IDSP has established a network of laboratories at different levels. District Public Health Laboratories conduct routine tests, while State Referral Laboratories handle more complex diagnostic work. Laboratory assistants and technicians at Primary and Community Health Centers report on basic tests like malaria detection, while personnel at district and higher-level laboratories handle the full range of surveillance testing.

Over 250 District Public Health Labs have been strengthened under IDSP, supported by trained staff and annual grants for reagents and consumables. A state-based referral laboratory network links medical college labs and major diagnostic centers with districts to provide specialized testing during outbreaks.

How the three tiers work together

The three surveillance levels create an interconnected system where information flows from the community to the central level. When a health worker notices unusual symptoms and reports through the S Form, this triggers closer monitoring. If cases continue to rise, Medical Officers investigate and report through the P Form. Suspected cases are then sent to laboratories for confirmation through the L Form.

This linked surveillance approach allows Rapid Response Teams to be mobilized when there’s a rising trend in any area. The weekly data helps identify disease trends and seasonality, enabling timely public health interventions before outbreaks spiral out of control.

The system has evolved significantly since its launch in 2004. Initially, the forms were more complex, but they were simplified in 2009 based on feedback from field workers and expert recommendations. The focus shifted from collecting voluminous syndromic data at all levels to emphasizing analysis of presumptive and laboratory-confirmed data, making the system more manageable and action-oriented.

From weekly reporting to real-time surveillance

Data collection under IDSP traditionally followed a weekly cycle from Monday to Sunday. Reports were submitted by the following Monday and compiled for analysis. Currently, about 96% of districts report their surveillance data regularly through the IDSP portal.

The system has now transitioned to the Integrated Health Information Platform, which enables real-time data entry and analysis. This shift from weekly aggregated reporting to daily case-based surveillance represents a major advancement, allowing health officials to visualize disease patterns immediately and respond faster to emerging threats.

What do you think? How can frontline health workers be better supported to maintain consistent reporting in remote areas? What role should private healthcare facilities play in strengthening disease surveillance systems?

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References
  1. https://idsp.mohfw.gov.in/index4.php?lang=1&level=0&linkid=313&lid=1592
  2. https://idsp.mohfw.gov.in/index4.php?lang=1&level=0&linkid=412&lid=3695
  3. https://health.tripura.gov.in/integrated-disease-surveillance-programme-idsp
  4. https://haryanahealth.gov.in/scheme/integrated-disease-surveillance-projectidsp/
  5. https://cmoharidwar.org/downloads/IDSP/PL-Forms.pdf
  6. https://ncdc.mohfw.gov.in/integrated-disease-surveillance-programme/

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Pandemic Preparedness & Response

1 Emerging Diseases- Factors that favour Emergence of New diseases and Zoonotic Diseases

  1. Emergence of New diseases and Zoonotic diseases
  2. Factors that Favour Emergence of New diseases and Zoonotic diseases
  3. Surveillance and Early Warning Systems
  4. Zoonotic Diseases and One Health Approach
  5. Conclusion

2 Re-emerging Diseases- Overview and Causes of Reappearance

  1. From a Historical Point of View
  2. Causes of Reappearance: Re-emerging diseases
  3. Emerging diseases and their Global Impact
  4. Trends and Epidemiological Characteristics of Emerging Illnesses in India
  5. Improvements to Monitoring and Emergency Response Systems
  6. Maintaining Conformity with International Health Regulations
  7. Enhancing Epidemiological Capabilities

3 Epidemic and Pandemic- Epidemiological Considerations

  1. Epidemics and Pandemics
  2. Pandemics
  3. Impacts and Mitigation
  4. Pandemic Risks and Consequences
  5. Burden of Pandemics
  6. Consequences of Pandemics
  7. Trends Affecting Pandemic Risk
  8. Pandemic Mitigation: Preparedness and Response
  9. Risk Communications
  10. Reducing Pandemic Spread

4 Outbreak- Definition, and Criteria for Establishing Outbreak

  1. Definition of an Outbreak
  2. Definition of an Epidemic
  3. Introduction to Investigating an Outbreak
  4. Steps of an Outbreak Investigation
  5. Communicate Findings

5 Prevention of Outbreaks and Trigger Alerts

  1. Sources of Information to Detect Outbreaks
  2. Early Warning Signals for an Outbreak
  3. Importance of Timely Action
  4. Concept of Rapid Response Teams
  5. Steps in Outbreak Response
  6. Summary of Outbreak Investigation – by Health Worker
  7. Summary of Outbreak Investigation – by Medical Officer

6 Principles and Methods of Investigation- Food, Water, Air and Vector-borne Outbreaks

  1. Investigation of Outbreaks
  2. Principles of Investigation
  3. Methods of Investigation
  4. Investigation of Foodborne Outbreaks
  5. Investigation of Waterborne Outbreaks
  6. Investigation of Airborne Outbreaks
  7. Investigation of Vector-Borne Outbreaks

7 Disease Surveillance- Concept, Design, Types, and Evaluation

  1. Purpose of Disease Surveillance
  2. Characteristics of Disease Surveillance
  3. Identifying Health Problems for Surveillance
  4. Identifying or Collecting Data for Surveillance
  5. Analysing and Interpreting Data
  6. Disseminating Data and Interpretations
  7. Evaluating and Improving Surveillance System

8 Integrated Disease Surveillance Programme

  1. Mission of the Integrated Disease Surveillance Programme
  2. Objectives of the Integrated Disease Surveillance Programme
  3. Level of Surveillance under the Integrated Disease Surveillance Programme
  4. Diseases under Surveillance
  5. Level of Response under the Integrated Disease Surveillance Programme
  6. Surveillance Activities in India
  7. Organisational Structure of Integrated Disease Surveillance Programme
  8. Integrated Disease Surveillance Programme: Achievements
  9. Integrated Health Information Platform

9 Early Warning, Alert, and Response System- Application of Big Data and Artificial Intelligence

  1. Role of Early Warning, Alert, and Response Systems in Emergencies
  2. Preparedness for Early Warning, Alert, and Response Systems
  3. Levels of Early Warning, Alert, and Response Capacity within a Specific Context
  4. Rapid Assessment of Surveillance Priorities
  5. Core Functions: Early Warning, Alert, and Response
  6. Indicator-based Surveillance for Early Warning, Alert, and Response
  7. Event-based Surveillance for Early Warning, Alert, and Response
  8. Management of Signals, Events, and Alerts
  9. Response
  10. Big Data and Artificial Intelligence

10 Diseases Becoming Pandemic-How?

  1. Epidemic
  2. Pandemic
  3. Endemic
  4. Origin of Pandemics
  5. Significance of Pandemics
  6. Consequences of Pandemics

11 Pandemic Phases

  1. Phases of Pandemics
  2. Recommended Actions: Before, During and After a Pandemic
  3. History of Pandemics
  4. Case Studies

12 Rapid Response Teams

  1. Rapid Response Team
  2. Challenges in Public Health Rapid Response Team Management
  3. Rapid Response Team Emergency and Non-Emergency Phase Operations
  4. Pandemic Preparedness
  5. Risk Communication
  6. Exemplary Performance: Empowered Groups
  7. Lessons Learned: Ebola Epidemic
  8. Lessons Learned: COVID-19 in Thailand

13 Capacity- Building and Training

  1. Need for Capacity-building
  2. Capacity-Building of Rapid Response Teams
  3. Capacity-Building for Health Workers
  4. Capacity-Building of Teachers
  5. Capacity-Building for Vaccine Manufacturing in Developing Countries

14 International Health Regulations

  1. International Health Regulations: Scope
  2. International Health Regulations: Future Needs
  3. International Health Regulations: Members of the Committee
  4. International Health Regulations: Committee Work
  5. Monitoring and Evaluation Framework
  6. International Health Regulations: Implementation
  7. Advantages of International Health Regulations
  8. National Action Plan for Health Security
  9. Case Studies