Reverse cold chain for psm exam
reverse cold chain PSM exam vaccines specimens definition components
reverse cold chain definition uses specimens vaccines PSM
| Condition | Temperature |
|---|---|
| Preferred (refrigerated) | 0-8°C (with ice packs) |
| If refrigeration unavailable | Frozen at -20°C with dry ice or frozen cold packs |
| Avoid | Repeated freeze-thaw cycles |
| Component | Purpose |
|---|---|
| 30-60 ml feces container with screw cap | Primary container |
| Sealed polyethylene bag | Holds feces containers |
| Separate sealed bag | Holds laboratory request form |
| Absorbent material (cotton wool) | Cushioning and leak protection |
| Outer insulated cold box | Maintains temperature during transport |
| Feature | Cold Chain | Reverse Cold Chain |
|---|---|---|
| Direction | Downward (manufacturer → field) | Upward (field → lab/depot) |
| What is transported | Vaccines | Specimens / returned vaccines |
| Primary purpose | Protect vaccine potency | Preserve specimen viability |
| Classic example | Vaccine delivery to PHC | AFP stool samples to WHO lab |
What is epidemic? write down investigation of an epidemic
"The occurrence in a community or region of cases of an illness, specific health-related behaviour, or other health-related events clearly in excess of normal expectancy."
| Term | Definition | Example |
|---|---|---|
| Endemic | Constant presence of a disease within a given area without importation | Common cold |
| Sporadic | Cases occurring irregularly, haphazardly, widely separated in time and space | Tetanus, Herpes zoster |
| Pandemic | Epidemic over a very wide area, crossing international boundaries | Influenza, Cholera |
| Hyperendemic | Constantly present at high incidence, affects all age groups equally | - |
| Holoendemic | High infection beginning early in life, affects mostly children; adults less affected | Malaria |
| Exotic | Diseases imported into a country where they do not otherwise occur | - |
| Section | Contents |
|---|---|
| Background | Geography, climate, demographics, health services, normal disease prevalence |
| Historical data | Previous epidemics (same or related disease), discovery of first cases |
| Methodology | Case definition, questionnaire, survey teams, lab techniques |
| Data analysis | Clinical, epidemiological, modes of transmission, lab data, interpretation |
| Control measures | Strategies, constraints, results, evaluation, preventive measures |
"An epidemiological investigation is more than the collection of established facts. It includes their orderly arrangement into chains of inference, which extend more or less beyond the bounds of direct observation." - Wade Hampton Frost
Health advice to international travellers/emporiatrics
| Category | Description | Examples |
|---|---|---|
| Routine | Part of standard schedule; should be up to date | Measles, Td, Influenza |
| Recommended | Not routine but indicated by travel risk | Hepatitis A, Typhoid, Meningococcal, Japanese encephalitis, Rabies |
| Required (Mandatory) | Legally mandated for entry/exit | Yellow fever (only one currently required) |
| Group | Special Consideration |
|---|---|
| Immunocompromised (HIV+, immunosuppressants) | Avoid live vaccines; extra precautions |
| Pregnant | Some antimalarials contraindicated; live vaccines generally avoided |
| Chronic cardiac/pulmonary disease | Extra pre-travel assessment |
| Severe allergies | Check vaccine components carefully |
| Elderly | Cardiovascular and injury risks higher |
I didn't know about anything in biostatistics,do give me full explanation of biostatistics in psm
BIOSTATISTICS
│
├── TYPES OF DATA
│ ├── Qualitative (nominal, ordinal, binary)
│ └── Quantitative (discrete, continuous)
│
├── PRESENTATION
│ ├── Tables, Bar charts, Histogram, Pie chart, Scatter diagram
│ └── Histogram (bars touch) vs Bar chart (bars separate)
│
├── CENTRAL TENDENCY
│ ├── Mean → use for normal data; affected by outliers
│ ├── Median → use for skewed data; NOT affected by outliers
│ └── Mode → most frequent value
│
├── DISPERSION
│ ├── Range → simplest; only uses extremes
│ ├── Mean Deviation → average of absolute deviations
│ └── Standard Deviation → most useful; "root-mean-square deviation"
│
├── NORMAL DISTRIBUTION
│ ├── Mean = Median = Mode
│ ├── ±1 SD = 68.3%
│ ├── ±2 SD = 95.4%
│ └── Z-score = (x - mean)/SD
│
├── SAMPLING
│ ├── Simple random, Systematic, Stratified, Cluster, Multistage
│ └── SE = SD/√n (decreases as n increases)
│
├── TESTS OF SIGNIFICANCE
│ ├── P < 0.05 = significant
│ ├── Z-test / t-test → for means (quantitative data)
│ └── Chi-square → for proportions (categorical data); df=(r-1)(c-1)
│
└── CORRELATION & REGRESSION
├── r = -1 to +1; r=0 means no correlation
└── Regression: Y = a + bX; used for prediction
I didn't know about anything in biostatistics,do give me full explanation of biostatistics in psm