Epidemiology Practice Questions

Q: In a population of 10,000, 20% have a particular disease. A screening test for this disease has a sensitivity of 95% and a specificity of 80%. What is the positive predictive value (PPV) of this test?

54.3%. ### Explanation To calculate the **Positive Predictive Value (PPV)**, we must determine the probability that a person with a positive test result actually has the disease. This is best solved using a 2x2 contingency table based on the provided data: * **Total Population:** 10,000 * **Prevalence (20%):** Disease Present = 2,000; Disease Absent = 8,000 * **Sensitivity (95%):** True Positives (TP) = 95% of 2,000 = **1,900** * **Specificity (80%):** True Negatives (TN) = 80% of 8,000 = 6,400 * **False Positives (FP):** Total Healthy - TN = 8,000 - 6,400 = **1,600** **Calculation:** $$PPV = \frac{TP}{TP + FP} \times 100$$ $$PPV = \frac{1,900}{1,900 + 1,600} \times 100 = \frac{1,900}{3,500} \times 100 = \mathbf{54.28\% \approx 54.3\%}$$ --- ### Analysis of Options: * **A (54.3%):** Correct. This represents the proportion of true positives among all those who tested positive. * **B (98.5%):** Incorrect. This might be mistaken for Negative Predictive Value (NPV) or a calculation error ignoring the high number of false positives. * **C (47.5%):** Incorrect. This is a common distractor resulting from miscalculating the denominator. * **D (20%):** Incorrect. This is the **Prevalence** (Pre-test probability) of the disease, not the post-test probability (PPV). --- ### NEET-PG High-Yield Pearls: 1. **Relationship with Prevalence:** PPV is **directly proportional** to the prevalence of the disease in the population. If prevalence increases, PPV increases. 2. **NPV vs. Prevalence:** Negative Predictive Value is **inversely proportional** to prevalence. 3. **Sensitivity/Specificity:** These are inherent properties of the test and do not change with disease prevalence, whereas PPV and NPV are population-dependent. 4. **Screening Strategy:** In clinical practice, a test with high sensitivity is used for **screening** (to rule out disease - SnNout), while a test with high specificity is used for **confirmation** (to rule in disease - SpPin).

Q: Which of the following is associated with a chronic carrier state?

Hepatitis B. **Explanation:** In epidemiology, a **carrier** is an infected person who harbors a specific infectious agent without having clinical disease and serves as a potential source of infection. A **chronic carrier** is an individual who continues to harbor the agent for an extended period (usually more than 6 months). **Why Hepatitis B is Correct:** Hepatitis B Virus (HBV) is a classic example of an infection that leads to a chronic carrier state. Approximately 5–10% of infected adults and up to 90% of infected infants become chronic carriers. This occurs because the virus integrates into the host genome or persists as episomal DNA (cccDNA) in hepatocytes, evading complete clearance by the immune system. These carriers are significant sources of infection through blood and body fluids. **Why Other Options are Incorrect:** * **Measles:** This is an acute, highly infectious viral disease. It does not have a carrier state; an individual is either susceptible, acutely ill, or immune for life. * **Influenza:** Similar to measles, influenza is an acute respiratory infection. The virus undergoes rapid replication and clearance; there is no documented chronic carrier state. * **Pertussis:** While the convalescence period can be long, *Bordetella pertussis* does not establish a permanent or chronic carrier state in humans. **High-Yield Clinical Pearls for NEET-PG:** * **Diseases with NO carrier state:** Measles, Pertussis, Smallpox, Plague. * **Chronic Carriers in Typhoid:** Usually harbor the bacteria in the **gallbladder** (fecal carriers) or urinary tract (urinary carriers). * **Hepatitis B Markers:** A chronic carrier is defined by the persistence of **HBsAg** for >6 months. * **Incubatory Carriers:** Seen in Measles (briefly), Mumps, and Polio. * **Convalescent Carriers:** Seen in Typhoid, Cholera, and Diphtheria.

Q: Sample registration system is done once in which frequency?

6 months. The **Sample Registration System (SRS)** is a large-scale demographic survey in India used to provide reliable annual estimates of birth rate, death rate, and other fertility/mortality indicators at the state and national levels. ### **Explanation of the Correct Answer** The SRS follows a **Dual Record System** to ensure maximum accuracy. The core mechanism involves: 1. **Continuous Enumeration:** A resident part-time enumerator (usually a teacher or Anganwadi worker) records births and deaths as they occur in a sampled unit. 2. **Retrospective Half-yearly Survey:** Every **6 months**, a full-time supervisor independently visits the same households to record events that occurred during the preceding six-month period. The data from both sources are matched, and discrepancies are verified in the field. Therefore, the official frequency of the SRS supervisory check is **6 months**. ### **Explanation of Incorrect Options** * **B (1 year):** While the SRS publishes "Annual Reports," the actual field verification and data collection cycle occur twice a year. * **C (2 years):** There are no major national health surveys in India conducted on a biennial basis. * **D (5 years):** This is the frequency for the **National Family Health Survey (NFHS)** and the **Census** (which is decennial/10 years). ### **High-Yield Clinical Pearls for NEET-PG** * **Gold Standard:** SRS is considered the most reliable source of vital statistics (IMR, MMR, CBR) in India, superior to the Civil Registration System (CRS) which suffers from under-reporting. * **Initiation:** SRS was started on a pilot basis in 1964-65 and became fully operational in **1969-70**. * **Authority:** It is conducted by the **Office of the Registrar General of India (RGI)**, Ministry of Home Affairs. * **Key Indicator:** SRS is the primary source for calculating the **Infant Mortality Rate (IMR)** in India.

Q: What is the best method to analyze the severity of an acute disease?

Case fatality rate. ### Explanation **1. Why Case Fatality Rate (CFR) is correct:** The **Case Fatality Rate (CFR)** is the most direct measure of the **virulence** or **severity** of a disease. It represents the proportion of people diagnosed with a specific disease who die from it within a specified period. * **Formula:** (Total deaths from a disease / Total diagnosed cases of that disease) × 100. * Since the denominator is limited to those who actually have the disease (rather than the general population), it specifically reflects the "killing power" of the condition. It is particularly useful for acute infectious diseases (e.g., Rabies, Ebola, or Meningococcal meningitis). **2. Why the other options are incorrect:** * **Standardized Mortality Ratio (SMR):** This is used to compare the mortality experience of a specific group (e.g., occupational workers) with the general population, adjusting for age and sex. It is a measure of relative risk, not disease severity. * **Cause-specific Death Rate:** This measures the mortality burden of a disease in the **entire population** (Denominator: Mid-year population). It is influenced by both the severity of the disease and its prevalence/incidence in the community. * **Age-specific Death Rate:** This measures mortality within a specific age cohort (e.g., infant mortality). It helps identify high-risk age groups but does not isolate the severity of a single acute disease. **3. High-Yield NEET-PG Pearls:** * **CFR vs. Mortality Rate:** CFR measures the probability of dying *once you have the disease*; Mortality Rate measures the probability of dying *in the general population*. * **Complement of CFR:** (100 - CFR) is known as the **Survival Rate**. * **Disease with highest CFR:** Rabies (nearly 100%). * **Relationship:** CFR is inversely related to the quality of medical care and the host's immune response.

Q: Which of the following is NOT a benefit of randomization in a study?

Increases external validity of the study. ### Explanation **Randomization** is the "heart" of a Randomized Controlled Trial (RCT). Its primary purpose is to eliminate **selection bias** by ensuring that every participant has an equal chance of being assigned to either the study or control group. #### Why Option D is the Correct Answer **External validity** (Generalizability) refers to the extent to which study results can be applied to the general population. This depends on the **sampling method** (how participants are chosen from the universe), not randomization. Randomization ensures **Internal Validity** by ensuring that the observed differences between groups are due to the intervention and not confounding factors. It does not guarantee that the study sample represents the wider population. #### Why the Other Options are Incorrect * **A. Reduction of bias:** Randomization eliminates selection bias and investigator bias in allocating participants. * **B. Ensures comparability:** It balances both **known and unknown confounders** (e.g., age, genetics, lifestyle) between the two groups, making them comparable at baseline. * **C. Facilitates blinding:** Randomization creates the unpredictable assignment necessary for successful blinding (masking), which further reduces performance and detection bias. --- ### High-Yield Clinical Pearls for NEET-PG * **Gold Standard:** The RCT is the gold standard design for evaluating the efficacy of a new drug or intervention. * **Randomization vs. Random Sampling:** * *Randomization* $\rightarrow$ Internal Validity (Assigning to groups). * *Random Sampling* $\rightarrow$ External Validity (Selecting from population). * **Unique Strength:** Randomization is the **only** method that can control for **unknown confounders**. * **Types of Randomization:** Simple (toss of a coin), Block (ensures equal group sizes), and Stratified (balances specific prognostic factors like gender).

Q: What does DALY represent?

One DALY means one lost year of life. **Explanation:** **DALY (Disability-Adjusted Life Year)** is a summary measure of population health that combines mortality and morbidity into a single metric. It was developed to quantify the **Global Burden of Disease (GBD)**. 1. **Why Option B is correct:** One DALY represents the loss of the equivalent of **one year of full health**. It is calculated using the formula: **DALY = YLL + YLD**. * **YLL (Years of Life Lost):** Due to premature mortality (calculated based on life expectancy at the age of death). * **YLD (Years Lived with Disability):** Due to living with a health condition or its consequences. Therefore, DALY measures the "gap" between current health status and an ideal situation where the entire population lives to an advanced age, free of disease and disability. 2. **Why other options are incorrect:** * **Option A:** DALYs do not use Indian life expectancy as a standard. Instead, they traditionally use the **Japanese life expectancy** (the highest in the world) as the benchmark for calculating YLL. * **Option C:** DALY is a **Health Gap Indicator** (or a composite mortality/morbidity indicator), not a simple mobility indicator. Mobility indicators typically refer to physical movement or specific disability scales (e.g., Sullivan’s Index). **High-Yield Clinical Pearls for NEET-PG:** * **Sullivan’s Index:** Also known as "Disability-Free Life Expectancy." It is calculated by subtracting the duration of bed disability/inability to work from the expectation of life. * **QALY (Quality-Adjusted Life Year):** Measures the quality and quantity of life lived (used in cost-effectiveness analysis), whereas DALY measures the burden of disease. * **HALE (Health-Adjusted Life Expectancy):** The equivalent number of years in full health that a newborn can expect to live.

Q: What is the denominator when calculating the secondary attack rate following a person with a primary disease?

All the contacts who are exposed to the affected person. **Explanation:** **1. Understanding the Correct Answer (Option A):** The **Secondary Attack Rate (SAR)** measures the infectivity or communicability of an infectious agent. It is defined as the number of exposed persons developing the disease within the range of the incubation period following exposure to a primary case. The formula is: $$\text{SAR} = \frac{\text{Number of exposed persons developing disease within one incubation period}}{\text{Total number of exposed susceptible contacts}} \times 100$$ The denominator must specifically include **susceptible contacts** who were actually exposed to the primary case. This is the most accurate measure because it excludes those who were never in contact with the pathogen. **2. Why Other Options are Incorrect:** * **Option B & C (Home/Family):** While many secondary cases occur within households, these options are too narrow. A primary case can expose colleagues at work, classmates, or friends. Using only family members as the denominator would lead to an inaccurate calculation of the pathogen's true infectivity. * **Option D (City):** This represents the general population. Using the entire city as a denominator would calculate the **Attack Rate** (incidence in a population during an outbreak), not the *Secondary* Attack Rate, which specifically tracks transmission from a known source. **3. NEET-PG Clinical Pearls:** * **Denominator Rule:** Always subtract "known immunes" (those previously infected or vaccinated) from the denominator, as they are not "susceptible." * **Primary vs. Index Case:** The **Primary case** is the first case to introduce the infection into a group; the **Index case** is the first case to come to the attention of the investigator. * **High-Yield Use:** SAR is best used to evaluate the effectiveness of control measures (like isolation) and to determine the spread of diseases in closed communities (e.g., hostels, barracks).

Q: A study found the relative risk of passive smoking to have depression to be 1.05. What is the interpretation?

Positive association. ### Explanation **1. Why Option A is Correct:** Relative Risk (RR) is the ratio of the incidence of a disease among exposed individuals to the incidence among non-exposed individuals. The interpretation of RR is based on its value relative to **1.0**: * **RR > 1.0:** Indicates a **positive association** (the exposure increases the risk of the outcome). * In this case, RR = 1.05. Since 1.05 is greater than 1, it signifies that passive smokers have a 5% higher risk of developing depression compared to non-smokers. Even though the increase is small, it remains a positive association. **2. Why Other Options are Incorrect:** * **Option B (No association):** This would require an **RR = 1.0**, meaning the risk is identical in both groups. * **Option C (Negative association):** This would require an **RR < 1.0**, indicating a protective effect (the exposure reduces the risk of the outcome). * **Option D (Not significant):** Statistical significance is determined by the **p-value** or the **95% Confidence Interval (CI)**. Since neither is provided in the question, we cannot comment on significance. We can only interpret the direction of the association based on the numerical value of the RR. **3. High-Yield NEET-PG Pearls:** * **RR Formula:** $Incidence\ among\ exposed\ /\ Incidence\ among\ non-exposed$. * **Study Design:** RR is typically calculated in **Cohort Studies**. * **Odds Ratio (OR):** Used in Case-Control studies; interpreted similarly to RR (OR > 1 is positive association). * **Attributable Risk (AR):** Measures the impact of an exposure; calculated as $Incidence\ (exposed) - Incidence\ (non-exposed)$. * **Significance Rule:** If the 95% CI for RR includes 1.0 (e.g., 0.8 to 1.2), the result is **not** statistically significant. If it excludes 1.0 (e.g., 1.02 to 1.08), it is significant.

Q: A sample is a subset of the population, selected so as to be representative of the larger population. All of the following are TRUE about cluster sampling, EXCEPT:

Sample size is the same as that of simple random sampling.. **Explanation** In epidemiology, **Cluster Sampling** is a method where the population is divided into naturally occurring groups (clusters), such as villages or schools. A random sample of these clusters is selected, and all or a sample of individuals within those clusters are studied. **Why Option A is the Correct Answer (The Exception):** The sample size in cluster sampling is **not** the same as in Simple Random Sampling (SRS). Cluster sampling suffers from the "clustering effect," where individuals within a cluster tend to be more similar to each other than to the general population. To compensate for this loss of precision (measured by the **Design Effect**), the sample size must be increased—often doubled—to achieve the same statistical power as SRS. **Analysis of Other Options:** * **Option B (Two-stage sampling):** This is true. Typically, clusters are selected first (Stage 1), and then individuals within those clusters are selected (Stage 2). * **Option C (Cheaper/Feasible):** This is true. It is highly cost-effective and logistically easier because it eliminates the need for a complete sampling frame (list) of every individual in the entire population; one only needs a list of clusters. * **Option D (Higher sampling error):** This is true. Due to the homogeneity within clusters, the sampling error is higher compared to SRS or stratified sampling. **High-Yield Pearls for NEET-PG:** * **WHO EPI Cluster Technique:** Used for immunization coverage (30 clusters × 7 children = 210 children). * **Design Effect:** The ratio of the variance of cluster sampling to the variance of SRS. For WHO EPI, it is usually taken as **2**. * **Primary Sampling Unit (PSU):** In cluster sampling, the cluster itself (e.g., a village) is the PSU, not the individual.

Q: Which type of blinding is when both the subject and the investigator are unaware of the treatment being administered?

Double blinding. ### Explanation **Concept Overview:** Blinding (or masking) is a crucial methodological tool used in Randomized Controlled Trials (RCTs) to eliminate **bias**. It ensures that the participants and/or the researchers do not know which group (intervention or control) a subject belongs to, preventing preconceived notions from influencing the study results. **Why Double Blinding is Correct:** In **Double blinding**, two parties are kept unaware of the treatment allocation: 1. **The Subject:** To prevent the "Hawthorne Effect" or psychological placebo responses. 2. **The Investigator:** To prevent "Observer Bias" (where the researcher might unintentionally interpret results or treat patients differently based on their group). Since the question specifies that both the subject and investigator are unaware, double blinding is the correct answer. **Analysis of Incorrect Options:** * **A. Single blinding:** Only the **subject** is unaware. The investigator knows the treatment allocation. This is common in surgical trials where the surgeon cannot be blinded. * **C. Triple blinding:** In addition to the subject and investigator, the **data analyst** (statistician) is also unaware of which group is which. This is the most robust method to prevent "Analysis Bias." * **D. No blinding:** Also called an **Open-label trial**. Both parties know the treatment. This is often used in pilot studies or when blinding is ethically or practically impossible. **High-Yield Clinical Pearls for NEET-PG:** * **Primary Purpose:** Blinding is primarily used to eliminate **Bias**, whereas Randomization is used to eliminate **Confounding**. * **Gold Standard:** The "Double-blind RCT" is considered the gold standard for evaluating the efficacy of a new drug. * **Allocation Concealment:** This happens *before* the trial begins (to prevent selection bias), whereas **Blinding** happens *during* the trial (to prevent measurement/observer bias).

Question 1

In a population of 10,000, 20% have a particular disease. A screening test for this disease has a sensitivity of 95% and a specificity of 80%. What is the positive predictive value (PPV) of this test?

Accepted Answer

54.3%

Answer

98.50%

Answer

47.50%

Answer

20%

Question 2

Which of the following is associated with a chronic carrier state?

Accepted Answer

Hepatitis B

Answer

Measles

Answer

Influenza

Answer

Pertussis

Question 3

Sample registration system is done once in which frequency?

Accepted Answer

6 months

Answer

1 year

Answer

2 years

Answer

5 years

Question 4

What is the best method to analyze the severity of an acute disease?

Accepted Answer

Case fatality rate

Answer

Standardized mortality ratio

Answer

Cause-specific death rate

Answer

Age-specific death rate

Question 5

Which of the following is NOT a benefit of randomization in a study?

Accepted Answer

Increases external validity of the study

Answer

Reduction of bias in the selection of groups

Answer

Ensures comparability of both groups

Answer

Facilitates blinding of treatment

Question 6

What does DALY represent?

Accepted Answer

One DALY means one lost year of life

Answer

Indian life expectancy used as a standard

Answer

A mobility indicator

Answer

None of the above

Question 7

What is the denominator when calculating the secondary attack rate following a person with a primary disease?

Accepted Answer

All the contacts who are exposed to the affected person

Answer

All the people in his home

Answer

All the people in his family

Answer

All the people in his city

Question 8

A study found the relative risk of passive smoking to have depression to be 1.05. What is the interpretation?

Accepted Answer

Positive association

Answer

No association

Answer

Negative association

Answer

Not significant

Question 9

A sample is a subset of the population, selected so as to be representative of the larger population. All of the following are TRUE about cluster sampling, EXCEPT:

Accepted Answer

Sample size is the same as that of simple random sampling.

Answer

It is a two-stage sampling.

Answer

It is cheaper than other methods of sampling.

Answer

It has the disadvantage of higher sampling error.

Question 10

Which type of blinding is when both the subject and the investigator are unaware of the treatment being administered?

Accepted Answer

Double blinding

Answer

Single blinding

Answer

Triple blinding

Answer

No blinding

Epidemiology — MCQs

Epidemiology — MCQs

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