Every disease that gets diagnosed, reported, or studied around the world needs a common language. Without one, a case of typhoid in Patna and a case of typhoid in Paris would be hard to compare. That’s where the World Health Organization’s International Classification of Diseases (ICD) steps in, and its latest edition, ICD-11, dedicates an entire opening chapter to infectious and parasitic diseases – the conditions that have shaped human history more than almost any other.

Table of Contents

What are infectious and parasitic diseases?

Infectious diseases are illnesses caused by pathogens – living agents that invade the human body, multiply, and trigger sickness. ICD-11’s first chapter explicitly groups together conditions caused by pathogenic organisms or microorganisms, such as bacteria, viruses, parasites or fungi. The chapter code range starts with 1A00 and runs through several hundred sub-codes, covering everything from a mild bout of food poisoning to life-threatening conditions like tuberculosis and HIV.

The four main categories of pathogens behave very differently:

Bacteria

Single-celled organisms that can multiply on their own, both inside and outside the body. Some are friendly (the bacteria in curd, for example), but pathogenic ones cause illnesses like tuberculosis, cholera, and typhoid. Antibiotics work against bacteria – but only when used correctly.

Viruses

Viruses are not technically alive on their own. They need a host cell to replicate. They cause diseases like dengue, influenza, hepatitis, measles, and COVID-19. Antibiotics do not work on viruses; antivirals and vaccines are the primary tools.

Fungi

Fungi cause infections ranging from common ringworm and athlete’s foot to serious invasive infections in people with weakened immunity. The “black fungus” cases reported during the COVID-19 second wave were a sharp reminder of how dangerous fungal infections can become.

Parasites

Parasites are organisms that live on or inside a host and feed off it. They cause malaria (protozoa), worm infestations (helminths), and conditions like leishmaniasis or kala-azar. The ICD-11 sub-block for parasitic diseases includes malaria, non-intestinal protozoal diseases and helminthiases.

How ICD-11 organises this chapter

The biggest shift in ICD-11, which came into effect on 1 January 2022 after being adopted by the 72nd World Health Assembly in 2019, is its digital-first design. Each entity has a unique code, but the classification also allows the same disease to appear in multiple meaningful places. Pneumonia, for instance, is a lung infection – but it is also an infectious disease – so it shows up as a “grey node” in both chapters without being counted twice.

Within Chapter 1, diseases are grouped in a way that helps both clinicians and statisticians make sense of patterns. Some of the major sub-blocks include:

Gastroenteritis or colitis of infectious origin (1A00-1A40)

This covers bacterial intestinal infections like cholera and shigellosis, viral intestinal infections like rotavirus, and protozoal infections like amoebiasis. In simpler terms – most cases of diarrhoea and food poisoning that send people to a hospital fall here. Diarrhoeal diseases remain a leading cause of childhood mortality, and India’s disease burden for diarrhoeal diseases is 2.5 to 3.5 times higher than the global average.

Predominantly sexually transmitted infections (1A60-1A9Z)

Syphilis, gonorrhoea, chlamydial infections, and trichomoniasis all sit here. These conditions carry a heavy social stigma, but classification under a neutral, standardised system helps public health programmes plan testing and treatment without judgement.

Mycobacterial diseases (1B10-1B2Z)

This is where tuberculosis lives, along with leprosy and atypical mycobacterial infections. The placement matters – India bears a quarter of the world’s TB burden, with the WHO estimating 2.8 million new TB infections annually, accounting for 26% of the global total. Standardised coding helps the National TB Elimination Programme track every notified case.

Human immunodeficiency virus disease (1C60-1C62)

HIV gets its own block in ICD-11, with sub-codes for clinical stages, opportunistic infections, and HIV-associated cancers. This is a significant improvement over earlier versions because it allows researchers to track not just whether someone has HIV, but where they are in the disease’s progression.

Arthropod-borne viral fevers (1D40-1D4Z)

Dengue, chikungunya, Japanese encephalitis, Zika, and yellow fever – all the diseases spread by mosquitoes and ticks – are grouped together. This sub-block has become increasingly important. Dengue fever, Japanese encephalitis, chikungunya, and other vector-borne illnesses remain prevalent across regions like Northeast India, where climate and geography favour mosquito breeding.

Mycoses (1F20-1F2Z) and parasitic diseases (1F40-1G2Z)

Fungal infections sit in one block, and parasitic diseases – including malaria, leishmaniasis, schistosomiasis, and intestinal worms – sit in another. India’s continuing fight against malaria, filariasis, visceral leishmaniasis and other long-standing infections depends on accurately counting cases under exactly these codes.

Why this classification matters for public health

It’s tempting to see ICD-11 as paperwork – a set of codes that doctors and hospital billers care about but nobody else does. That view misses the point. Classification is the foundation on which almost every public health decision rests.

Tracking outbreaks in real time

When a cluster of fever cases starts appearing in a district, the first question authorities ask is: what is it? If every clinic codes the suspected cases the same way – say, as 1D44 for dengue fever – the national surveillance system can detect the spike within days rather than weeks. India runs the Integrated Disease Surveillance Programme (IDSP), a World Bank-assisted project to establish a decentralized, state-based disease surveillance system that depends on exactly this kind of standardisation.

Comparing the burden across countries

A patient in Tamil Nadu coded with 1B10 for tuberculosis is, by definition, the same condition as a patient in Brazil or Botswana coded with 1B10. This makes it possible to build global disease burden estimates, plan vaccine rollouts, and direct funding to where it’s most needed. ICD-11 now includes approximately 17,000 diagnostic categories and over 130,000 clinical terms, with automated coding that reduces ambiguity.

Designing vaccination and elimination programmes

Polio surveillance in India relied on classifying every case of acute flaccid paralysis (AFP) under a strict definition. India was certified polio-free in March 2014 as part of the WHO South-East Asia Region, and outbreak-based measles-rubella surveillance was built on the same classification framework. Without a shared coding system, no elimination campaign at this scale would be possible.

Antimicrobial resistance and emerging threats

ICD-11 has built-in codes for antimicrobial resistance based on the Global Antimicrobial Resistance Surveillance System (GLASS). This is critical for a country where over-the-counter antibiotic sales remain common and resistant strains of TB and typhoid are rising. By coding resistance patterns alongside the infection itself, researchers can map which drugs are losing their punch and where.

Insurance, hospital records, and patient care

ICD codes also drive insurance reimbursements, hospital reporting, and electronic health records. As India’s Ayushman Bharat Digital Mission expands and more health data moves online, accurate ICD-11 coding will determine whether a patient’s history can be understood by any future doctor – and whether claims for treatment of conditions like dengue or TB get processed correctly.

The shift from ICD-10 to ICD-11 in India

India has used ICD-10 for cause-of-death certification and hospital records for decades. The move to ICD-11 is gradual. As of May 2024, 132 Member States and areas were at various phases of implementing ICD-11, with 14 countries already collecting or reporting data using the new codes. Countries with sophisticated existing systems usually need four to five years to transition fully.

A few changes are worth noting for anyone studying population health. Some diseases that were earlier classified by the organ system they affected – such as bacterial meningitis (previously placed under nervous system diseases) – have been moved under infectious diseases in ICD-11. This better reflects how clinicians and epidemiologists actually think about these conditions: the cause matters as much as the location.

The bigger picture: a double burden

One reason this chapter feels so relevant to population studies is that India is living through what researchers call a double burden of disease. Non-communicable conditions like diabetes and heart disease are rising sharply, but infectious diseases haven’t gone away. More than 33% of the ailing population in India still suffers from infectious diseases, with the burden falling disproportionately on rural and marginalised communities.

This means that classifying infectious diseases accurately isn’t just a technical exercise – it shapes how a country of over 1.4 billion people allocates hospital beds, plans vaccination drives, decides what gets covered under health insurance, and trains its next generation of doctors and public health workers.

What do you think? If India’s surveillance system fully transitions to ICD-11 in the next few years, which infectious diseases do you think will reveal patterns we currently miss? And how should public health planners balance the older infectious threats – TB, malaria, diarrhoea – against the rising tide of non-communicable conditions?

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References
  1. https://www.who.int/standards/classifications/classification-of-diseases
  2. https://icd.who.int/browse/2024-01/mms/en#1435254666
  3. https://icd.who.int/browse/2024-01/mms/en#979492342
  4. https://dbtindia.gov.in/scientific-directorates/health-interventions-equity/infectious-diseases
  5. https://en.wikipedia.org/wiki/Tuberculosis_in_India
  6. https://medwinpublishers.com/article-description.php?artId=10751
  7. https://www.sciencedirect.com/science/article/abs/pii/S0140673610612652
  8. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3005571/
  9. https://www.who.int/news/item/14-02-2025-who-releases-2025-update-to-the-international-classification-of-diseases-(icd-11)
  10. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11358980/
  11. https://www.who.int/news-room/fact-sheets/detail/icd-11
  12. https://pmc.ncbi.nlm.nih.gov/articles/PMC7309235/
  13. https://pmc.ncbi.nlm.nih.gov/articles/PMC9279679/

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Introduction to Population Studies

1 Scope of Population Studies

  1. What are Population and Population Studies?
  2. Meaning of Population Studies
  3. Importance of Population Studies
  4. Scope of Population Studies

2 Evolution of Population Studies

  1. Evolution of Population Studies
  2. Thinkers of Population Studies
  3. Movement on Population Studies

3 Population Structure

  1. Concept of Population Structure
  2. Significance of Population Structure
  3. Changes in Age Structure
  4. Dependency Ratio
  5. Sex Composition in Population Structure

4 World Trend and Pattern of Population

  1. Components of Population Growth
  2. Growth of Population of the World
  3. Regional Variation in Population Growth
  4. Population Density
  5. Future Population Trends

5 Population Trend and Pattern in India

  1. Population Trends
  2. Growth of Population of India
  3. Demographic Transition in India
  4. Regional Variation in Population Growth
  5. National Population Policy (NPP) of 2000

6 Introduction to Components of Population Dynamics

  1. Concept of Population Dynamics
  2. Characteristics of Population Dynamics
  3. Components of Population Dynamics
  4. Factors Affecting Population Dynamics

7 Sources of Data

  1. Characteristics of Data
  2. Census of India
  3. National Sample Survey (NSS)
  4. National Family Health Survey (NFHS)
  5. Civil Registration System (CRS)
  6. Sample Registration System (SRS)
  7. United Nations Publications

8 Demographic Transition

  1. Demographic Transition
  2. First Stage
  3. Second Stage
  4. Third Stage
  5. Fourth Stage
  6. The Last Stage of Demographic Transition
  7. Demographic Profile of India
  8. Phase of Stagnant Population (1901-1921)
  9. Phase of Steady Growth (1921-1951)
  10. Phase of Rapid High Growth (1951-1981)
  11. Phase of High Growth with Definite Signs of Slowing Down (1981-2001)

9 Marriage and Nuptiality

  1. Marriage
  2. Types of Marriage
  3. Classification of Marital Status
  4. Nuptiality
  5. Measures of Nuptiality
  6. Sources of Nuptiality Data
  7. Relation between Nuptiality and Fertility
  8. Nuptiality Trends in India

10 Basic Measurement of Fertility

  1. Concept of Fertility
  2. Concept of Fertility Measures
  3. Data for Fertility Measures
  4. Crude Birth Rate (CBR)
  5. General Fertility Rate (GFR)
  6. Age-Specific Fertility Rates (ASFR)
  7. Total Fertility Rate (TFR)
  8. Child-Woman Ratio (CWR)
  9. General Marital Fertility Rate (GMFR)
  10. Gross and Net Reproduction Rate (GRR & NRR)
  11. Parity-Specific Birth Rates
  12. Software for Fertility Analysis

11 Fertility Transition in Asia and India

  1. Fertility Transition
  2. Theories of Fertility Transition
  3. Second Demographic Transition Theory
  4. Fertility Transition in Asia
  5. South Asia
  6. Southeast Asia
  7. Central Asia
  8. East Asia
  9. West Asia
  10. Fertility Transition in India

12 Factors Affecting Fertility

  1. Factors of Fertility
  2. Biological Factors of Fertility
  3. Physiological Factors of Fertility
  4. Social Factors
  5. Economic Factors
  6. Family Planning and Administrative Factors
  7. Demographic Factors
  8. Davis and Blake Intermediate Determinants of Fertility
  9. Bongaarts’ Model of Proximate Determinants of Fertility
  10. Coale’s Indices

13 Fertility- Issues and Challenges

  1. Fertility Issues
  2. Economic Issues of Fertility
  3. Social Issues of Fertility
  4. Regional or Geographical Issues of Fertility
  5. Contemporary Issues of Fertility
  6. Challenges in Fertility
  7. Food Security
  8. Development Challenges
  9. Environment
  10. Institutions

14 Basic Measurement of Mortality and Morbidity

  1. Concept of Mortality and Morbidity
  2. Data for Mortality and Morbidity Measure
  3. Mortality Measures
  4. Crude Death Rate (CDR)
  5. Age Specific Death Rate (ASDR)
  6. Specific Death Rate (SDR)
  7. Maternal Mortality Rate/Ratio (MMR/MMRT)
  8. Infant Mortality Rate (IMR)
  9. Cause Specific Death Rate (CSDR)
  10. Child Mortality Rate (CMR)
  11. Measure of Morbidity

15 Mortality Pattern

  1. Historical Events of Mortality
  2. Mortality Pattern in British India
  3. Mortality Pattern During 1947 to 1970
  4. Data for Mortality
  5. Medical Certification of Causes of Deaths (MCCD)
  6. Crude Death Pattern in India
  7. Under-Five Year Mortality Pattern in India
  8. Perinatal Mortality Pattern
  9. Maternal Mortality Pattern

16 International Classification of Diseases

  1. Concept of Ailments/Diseases
  2. International Classification of Diseases (ICD) in India
  3. Revision of International Classification of Diseases (ICD)
  4. ICD-11th Version
  5. Certain Infectious or Parasitic Diseases
  6. Neoplasms
  7. Diseases of the Respiratory System
  8. Conditions Related to Sexual Health
  9. Pregnancy, Childbirth or the Puerperium

17 Communicable and Non communicable Diseases

  1. Concept of Communicable and Non-Communicable Diseases
  2. Status of Communicable and Non-Communicable Diseases
  3. Communicable Diseases
  4. Non-Communicable Diseases (NCDs)
  5. Difference Between Communicable & Non-Communicable Diseases
  6. Factors Affecting and Determinants of Diseases

18 Epidemiological Transition

  1. Epidemiological Transition
  2. Epidemiological Transition Theory
  3. Linkages Between Demographic and Epidemiological Transition Theories
  4. Factors Affecting Epidemiological Transition
  5. Regional Variations in Patterns of Epidemiological Transition
  6. Epidemiological Transition in India

19 Meaning and Concept of Migration

  1. Meaning of Migration
  2. Concept of Migration
  3. Determinants of Migration
  4. Consequences of Migration
  5. Streams of Migration
  6. Brain Drain and Brain Gain

20 Characteristics of Migrants

  1. Migrant Household and Migrant
  2. Characteristics of Migrants
  3. Reasons for Migration
  4. Nature of Remittances
  5. Problems at Destination

21 Nature and Pattern of Migration

  1. Voluntary and Involuntary Nature of Migration
  2. Patterns of Migration
  3. Differential Migration
  4. Internal Migration
  5. Inter-State Migration in Indian Social Perspective
  6. International Migration

22 Internal Migration

  1. Introduction
  2. Why Internal Migration Study?
  3. Reasons of Migration
  4. Factors of Internal Migration
  5. Streams in Internal Migration
  6. Inter-state and Intra-state Internal Migration
  7. Migration and Gender
  8. Spells of Migration

23 Estimation of Migration

  1. Introduction
  2. Why Estimation of Migration?
  3. Migration Data
  4. Conceptual Framework for Migration Estimation
  5. Migration Estimation
  6. Inter-State Migration Stream
  7. International Migration Estimate