COVID-19 (SARS-CoV-2) - Comprehensive 2nd MBBS Microbiology Notes

ls -la /home/daytona/workspace/ 2>/dev/null || echo "workspace doesn't exist"

mkdir -p /home/daytona/workspace/covid19-study-guide && python3 -c "import repor…

~/covid19-study-guide/generate_pdf.py

#!/usr/bin/env python3
"""
COVID-19 MBBS Study Guide PDF Generator
Uses ReportLab for a professional, exam-ready study guide.
"""

from reportlab.lib.pagesizes import A4
from reportlab.lib import colors
from reportlab.lib.units import cm, mm
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.platypus import (
    SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle,
    HRFlowable, PageBreak, KeepTogether
)
from reportlab.platypus.flowables import HRFlowable
from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont
import os

OUTPUT_PATH = "/home/daytona/workspace/covid19-study-guide/COVID19_MBBS_Study_Guide.pdf"

# ── Colour palette ─────────────────────────────────────────────────────────────
DEEP_BLUE   = colors.HexColor("#1a3a5c")
MID_BLUE    = colors.HexColor("#2563A8")
ACCENT_TEAL = colors.HexColor("#0e7490")
LIGHT_BLUE  = colors.HexColor("#dbeafe")
LIGHT_TEAL  = colors.HexColor("#e0f7fa")
YELLOW_HL   = colors.HexColor("#fef9c3")
RED_WARN    = colors.HexColor("#dc2626")
RED_LIGHT   = colors.HexColor("#fee2e2")
GREEN_OK    = colors.HexColor("#166534")
GREEN_LIGHT = colors.HexColor("#dcfce7")
ORANGE      = colors.HexColor("#ea580c")
ORANGE_LIGHT= colors.HexColor("#fff7ed")
GREY_BG     = colors.HexColor("#f1f5f9")
DARK_TEXT   = colors.HexColor("#1e293b")
WHITE       = colors.white
TABLE_HEADER= colors.HexColor("#1e40af")

# ── Page template ──────────────────────────────────────────────────────────────
def add_page_number(canvas, doc):
    canvas.saveState()
    # Header bar
    canvas.setFillColor(DEEP_BLUE)
    canvas.rect(0, A4[1] - 1.4*cm, A4[0], 1.4*cm, fill=1, stroke=0)
    canvas.setFillColor(WHITE)
    canvas.setFont("Helvetica-Bold", 9)
    canvas.drawString(1*cm, A4[1] - 0.9*cm, "COVID-19 (SARS-CoV-2)")
    canvas.drawRightString(A4[0] - 1*cm, A4[1] - 0.9*cm, "2nd MBBS Microbiology | Exam Study Guide")
    # Footer bar
    canvas.setFillColor(DEEP_BLUE)
    canvas.rect(0, 0, A4[0], 1.0*cm, fill=1, stroke=0)
    canvas.setFillColor(WHITE)
    canvas.setFont("Helvetica", 8)
    canvas.drawString(1*cm, 0.35*cm, "Based on Apurba Sastri Microbiology | Sherris & Ryan | Goldman-Cecil")
    canvas.drawRightString(A4[0] - 1*cm, 0.35*cm, f"Page {doc.page}")
    canvas.restoreState()

# ── Style definitions ──────────────────────────────────────────────────────────
styles = getSampleStyleSheet()

def S(name, **kw):
    return ParagraphStyle(name, **kw)

COVER_TITLE = S("CoverTitle",
    fontSize=32, textColor=WHITE, fontName="Helvetica-Bold",
    alignment=TA_CENTER, spaceAfter=6, leading=38)

COVER_SUBTITLE = S("CoverSub",
    fontSize=16, textColor=colors.HexColor("#bfdbfe"),
    fontName="Helvetica", alignment=TA_CENTER, spaceAfter=4)

COVER_DETAIL = S("CoverDetail",
    fontSize=12, textColor=colors.HexColor("#e0f2fe"),
    fontName="Helvetica", alignment=TA_CENTER, spaceAfter=3)

H1 = S("H1",
    fontSize=16, textColor=WHITE, fontName="Helvetica-Bold",
    alignment=TA_LEFT, spaceAfter=2, leading=20,
    backColor=MID_BLUE, leftIndent=-0.5*cm, borderPad=6)

H2 = S("H2",
    fontSize=13, textColor=DEEP_BLUE, fontName="Helvetica-Bold",
    spaceBefore=10, spaceAfter=4, borderPadding=(0, 0, 2, 0))

H3 = S("H3",
    fontSize=11, textColor=ACCENT_TEAL, fontName="Helvetica-Bold",
    spaceBefore=6, spaceAfter=3)

BODY = S("Body",
    fontSize=9.5, textColor=DARK_TEXT, fontName="Helvetica",
    leading=14, spaceAfter=4, alignment=TA_JUSTIFY)

BULLET = S("Bullet",
    fontSize=9.5, textColor=DARK_TEXT, fontName="Helvetica",
    leading=13, spaceAfter=2, leftIndent=14, bulletIndent=0,
    bulletText="•")

SUBBULLET = S("SubBullet",
    fontSize=9, textColor=DARK_TEXT, fontName="Helvetica",
    leading=12, spaceAfter=1, leftIndent=28, bulletIndent=14,
    bulletText="–")

BOLD_BODY = S("BoldBody",
    fontSize=9.5, textColor=DARK_TEXT, fontName="Helvetica-Bold",
    leading=14, spaceAfter=2)

EXAM_TIP = S("ExamTip",
    fontSize=9, textColor=colors.HexColor("#7c2d12"),
    fontName="Helvetica-BoldOblique",
    backColor=ORANGE_LIGHT, leftIndent=8, rightIndent=8,
    borderPad=5, spaceBefore=4, spaceAfter=4, leading=13)

WARN = S("Warn",
    fontSize=9, textColor=RED_WARN, fontName="Helvetica-Bold",
    backColor=RED_LIGHT, leftIndent=8, rightIndent=8,
    borderPad=4, spaceBefore=3, spaceAfter=3, leading=13)

MNEMONIC = S("Mnemonic",
    fontSize=10, textColor=GREEN_OK, fontName="Helvetica-Bold",
    backColor=GREEN_LIGHT, leftIndent=8, rightIndent=8,
    borderPad=6, spaceBefore=4, spaceAfter=4, leading=15, alignment=TA_CENTER)

NOTE = S("Note",
    fontSize=8.5, textColor=colors.HexColor("#374151"),
    fontName="Helvetica-Oblique", leading=12, spaceAfter=3,
    leftIndent=10)

# ── Helper: section header ──────────────────────────────────────────────────────
def section_header(num, title, color=MID_BLUE):
    tbl = Table(
        [[f"  {num}. {title}  "]],
        colWidths=[17.6*cm]
    )
    tbl.setStyle(TableStyle([
        ("BACKGROUND", (0,0), (-1,-1), color),
        ("TEXTCOLOR",  (0,0), (-1,-1), WHITE),
        ("FONTNAME",   (0,0), (-1,-1), "Helvetica-Bold"),
        ("FONTSIZE",   (0,0), (-1,-1), 13),
        ("TOPPADDING", (0,0), (-1,-1), 7),
        ("BOTTOMPADDING",(0,0),(-1,-1), 7),
        ("LEFTPADDING", (0,0), (-1,-1), 8),
        ("ROWBACKGROUNDS", (0,0), (-1,-1), [color]),
    ]))
    return tbl

def sub_header(title, color=ACCENT_TEAL):
    tbl = Table([[f"  {title}  "]], colWidths=[17.6*cm])
    tbl.setStyle(TableStyle([
        ("BACKGROUND", (0,0), (-1,-1), color),
        ("TEXTCOLOR",  (0,0), (-1,-1), WHITE),
        ("FONTNAME",   (0,0), (-1,-1), "Helvetica-Bold"),
        ("FONTSIZE",   (0,0), (-1,-1), 11),
        ("TOPPADDING", (0,0), (-1,-1), 5),
        ("BOTTOMPADDING",(0,0),(-1,-1), 5),
        ("LEFTPADDING", (0,0), (-1,-1), 8),
    ]))
    return tbl

def make_table(headers, rows, col_widths=None, header_color=TABLE_HEADER, alt_color=LIGHT_BLUE):
    data = [headers] + rows
    tbl = Table(data, colWidths=col_widths)
    style = [
        ("BACKGROUND",   (0,0), (-1,0), header_color),
        ("TEXTCOLOR",    (0,0), (-1,0), WHITE),
        ("FONTNAME",     (0,0), (-1,0), "Helvetica-Bold"),
        ("FONTSIZE",     (0,0), (-1,-1), 8.5),
        ("FONTNAME",     (0,1), (-1,-1), "Helvetica"),
        ("GRID",         (0,0), (-1,-1), 0.4, colors.HexColor("#cbd5e1")),
        ("TOPPADDING",   (0,0), (-1,-1), 4),
        ("BOTTOMPADDING",(0,0), (-1,-1), 4),
        ("LEFTPADDING",  (0,0), (-1,-1), 5),
        ("VALIGN",       (0,0), (-1,-1), "MIDDLE"),
        ("ROWBACKGROUNDS",(0,1),(-1,-1),[WHITE, alt_color]),
    ]
    tbl.setStyle(TableStyle(style))
    return tbl

def box_table(content_rows, bg=LIGHT_BLUE, border=MID_BLUE):
    tbl = Table(content_rows, colWidths=[17.6*cm])
    tbl.setStyle(TableStyle([
        ("BACKGROUND",   (0,0), (-1,-1), bg),
        ("BOX",          (0,0), (-1,-1), 1.2, border),
        ("TOPPADDING",   (0,0), (-1,-1), 4),
        ("BOTTOMPADDING",(0,0), (-1,-1), 4),
        ("LEFTPADDING",  (0,0), (-1,-1), 10),
        ("FONTNAME",     (0,0), (-1,-1), "Helvetica"),
        ("FONTSIZE",     (0,0), (-1,-1), 9),
    ]))
    return tbl

def hr(color=MID_BLUE, thickness=0.8):
    return HRFlowable(width="100%", thickness=thickness, color=color, spaceAfter=4, spaceBefore=4)

def sp(h=0.2):
    return Spacer(1, h*cm)

def P(text, style=BODY):
    return Paragraph(text, style)

def B(text):
    return Paragraph(text, BULLET)

def SB(text):
    return Paragraph(text, SUBBULLET)

# ═══════════════════════════════════════════════════════════════════════════════
# BUILD DOCUMENT
# ═══════════════════════════════════════════════════════════════════════════════
def build():
    doc = SimpleDocTemplate(
        OUTPUT_PATH,
        pagesize=A4,
        topMargin=1.8*cm,
        bottomMargin=1.4*cm,
        leftMargin=1.5*cm,
        rightMargin=1.5*cm,
        title="COVID-19 MBBS Study Guide",
        author="Orris AI | Medical Education",
    )

    story = []

    # ──────────────────────────────────────────────────────────────────────────
    # COVER PAGE
    # ──────────────────────────────────────────────────────────────────────────
    # Blue gradient cover block via table
    cover_data = [
        [Paragraph("COVID-19", S("ct", fontSize=42, textColor=WHITE,
            fontName="Helvetica-Bold", alignment=TA_CENTER, leading=48))],
        [Paragraph("SARS-CoV-2", S("cs", fontSize=22, textColor=colors.HexColor("#93c5fd"),
            fontName="Helvetica-Bold", alignment=TA_CENTER))],
        [Spacer(1, 0.3*cm)],
        [Paragraph("Comprehensive MBBS Exam Study Guide", S("x1", fontSize=16,
            textColor=colors.HexColor("#e0f2fe"), fontName="Helvetica",
            alignment=TA_CENTER))],
        [Paragraph("2nd Year | Microbiology", S("x2", fontSize=13,
            textColor=colors.HexColor("#bfdbfe"), fontName="Helvetica",
            alignment=TA_CENTER))],
        [Spacer(1, 0.5*cm)],
        [Paragraph("Definition · Morphology · Virulence Factors · Pathogenesis<br/>"
                   "Clinical Manifestations · Complications · Lab Diagnosis · Treatment",
            S("x3", fontSize=10, textColor=colors.HexColor("#cbd5e1"),
            fontName="Helvetica-Oblique", alignment=TA_CENTER, leading=16))],
        [Spacer(1, 0.6*cm)],
        [Paragraph("Reference: Apurba Sastri Microbiology | Sherris &amp; Ryan 8e | Goldman-Cecil Medicine",
            S("x4", fontSize=9, textColor=colors.HexColor("#94a3b8"),
            fontName="Helvetica", alignment=TA_CENTER))],
    ]
    cover = Table(cover_data, colWidths=[17.6*cm])
    cover.setStyle(TableStyle([
        ("BACKGROUND",   (0,0), (-1,-1), DEEP_BLUE),
        ("TOPPADDING",   (0,0), (-1,-1), 8),
        ("BOTTOMPADDING",(0,0), (-1,-1), 8),
        ("LEFTPADDING",  (0,0), (-1,-1), 20),
        ("RIGHTPADDING", (0,0), (-1,-1), 20),
        ("BOX",          (0,0), (-1,-1), 2, MID_BLUE),
    ]))
    story += [sp(1.5), cover, sp(0.8)]

    # Quick-ref badge
    badge = make_table(
        ["📌 EXAM QUICK REFERENCE", "", "", ""],
        [
            ["Agent", "SARS-CoV-2 (Beta-coronavirus)", "Gold Std Diagnosis", "RT-PCR (NP swab)"],
            ["Genome", "+ve sense ssRNA (~30 kb)", "Key Receptor", "ACE2 + TMPRSS2"],
            ["Size", "80–160 nm; Enveloped", "Incubation", "2–14 days (avg 5 days)"],
            ["Key Symptoms", "Fever, Dry cough, Anosmia, Ageusia", "Treatment", "Remdesivir + Dexamethasone"],
            ["Worst Complication", "ARDS / Cytokine Storm / DIC", "Pediatric Complication", "MIS-C (Kawasaki-like)"],
        ],
        col_widths=[3.5*cm, 5.3*cm, 4.3*cm, 4.5*cm],
        header_color=DEEP_BLUE
    )
    story += [badge, PageBreak()]

    # ──────────────────────────────────────────────────────────────────────────
    # SECTION 1 — DEFINITION
    # ──────────────────────────────────────────────────────────────────────────
    story += [section_header("1", "DEFINITION"), sp(0.2),
    P("<b>COVID-19</b> (Coronavirus Disease-2019) is an <b>acute infectious respiratory illness</b> caused by "
      "<b>SARS-CoV-2</b> (Severe Acute Respiratory Syndrome Coronavirus-2), a novel <b>beta-coronavirus</b> "
      "that emerged in Wuhan, Hubei Province, China in <b>December 2019</b>."),
    sp(0.1),
    P("It was declared a <b>global pandemic by WHO on March 11, 2020</b>. The disease ranges from mild "
      "flu-like illness to severe pneumonia, ARDS, and multi-organ dysfunction syndrome (MODS)."),
    sp(0.2),
    make_table(
        ["Feature", "Detail"],
        [
            ["Disease name", "Coronavirus Disease-2019 (COVID-19)"],
            ["Causative agent", "SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2)"],
            ["Family / Genus", "Coronaviridae / Betacoronavirus"],
            ["Pandemic declared", "WHO — March 11, 2020"],
            ["Origin", "Wuhan, Hubei Province, China (December 2019)"],
            ["Global cases (Oct 2023)", "~770 million confirmed cases; ~6.9 million deaths"],
        ],
        col_widths=[5*cm, 12.6*cm]
    ),
    sp(0.3)]

    # ──────────────────────────────────────────────────────────────────────────
    # SECTION 2 — MORPHOLOGY
    # ──────────────────────────────────────────────────────────────────────────
    story += [section_header("2", "MORPHOLOGY OF SARS-CoV-2"), sp(0.2),
    sub_header("2A. Basic Virion Properties"), sp(0.1),
    make_table(
        ["Property", "Description"],
        [
            ["Type", "Enveloped, positive-sense single-stranded RNA virus (+ssRNA)"],
            ["Size", "80–160 nm (one of the largest RNA viruses)"],
            ["Shape", "Roughly spherical/pleomorphic with crown-like spike projections"],
            ["Genome", "~30 kb — largest RNA genome of any known virus"],
            ["Capsid symmetry", "Helical nucleocapsid"],
            ["Envelope", "Lipid bilayer envelope derived from ER-Golgi membranes"],
            ["Replication site", "Cytoplasm"],
            ["Replication enzyme", "RNA-dependent RNA Polymerase (RdRp) — viral-encoded"],
        ],
        col_widths=[4.5*cm, 13.1*cm]
    ),
    sp(0.25),
    sub_header("2B. Structural Proteins (4 Major)"), sp(0.1),
    make_table(
        ["Protein", "Location", "Function / Significance"],
        [
            ["Spike (S) Glycoprotein",
             "Surface — club/petal projections",
             "Binds ACE2 receptor (S1 = RBD); S2 = fusion domain; gives corona appearance; primary vaccine target; mutates to form variants"],
            ["Membrane (M) Glycoprotein",
             "Embedded in envelope",
             "Most abundant structural protein; maintains envelope shape and integrity; involved in budding"],
            ["Envelope (E) Glycoprotein\n(Small Envelope)",
             "Embedded in envelope",
             "Ion channel (viroporin); essential for viral assembly and release; virulence factor"],
            ["Nucleocapsid (N) Phosphoprotein",
             "Internal — bound to RNA",
             "Packages viral RNA into helical nucleocapsid; important diagnostic antigen (detected in rapid antigen tests); involved in immune evasion"],
            ["Hemagglutinin-Esterase (HE)",
             "Surface (some beta-CoV)",
             "Aids attachment; less prominent in SARS-CoV-2 vs. other betacoronaviruses"],
        ],
        col_widths=[4*cm, 4.2*cm, 9.4*cm]
    ),
    sp(0.2),
    P("🔬 <b>Diagram note:</b> The corona (crown) appearance under electron microscopy is due to the "
      "Spike glycoproteins projecting from the lipid envelope like a solar corona or crown of thorns. "
      "The name 'Coronavirus' derives from this appearance.", NOTE),
    sp(0.2),
    sub_header("2C. Replication Cycle Summary"), sp(0.1),
    make_table(
        ["Step", "Event"],
        [
            ["1. Attachment", "Spike S1 RBD binds ACE2 receptor on host cell"],
            ["2. Priming", "TMPRSS2 (host serine protease) cleaves S1/S2 junction → enables fusion"],
            ["3. Fusion/Entry", "S2 mediates viral envelope-cell membrane fusion → endocytosis"],
            ["4. Uncoating", "Viral RNA (+ssRNA) released into cytoplasm"],
            ["5. Translation", "+ssRNA acts directly as mRNA → polyprotein synthesis → cleavage by proteases"],
            ["6. Replication", "RdRp synthesizes genomic RNA + subgenomic RNAs"],
            ["7. Assembly", "Structural proteins + RNA assemble in cytoplasm"],
            ["8. Budding", "Virus acquires envelope from ER-Golgi membrane; released by exocytosis"],
        ],
        col_widths=[3.5*cm, 14.1*cm]
    ),
    sp(0.3)]

    # ──────────────────────────────────────────────────────────────────────────
    # SECTION 3 — VIRULENCE FACTORS
    # ──────────────────────────────────────────────────────────────────────────
    story += [section_header("3", "VIRULENCE FACTORS"), sp(0.2),
    make_table(
        ["Virulence Factor", "Mechanism / Significance"],
        [
            ["Spike (S) Glycoprotein — RBD",
             "Binds ACE2 with ~10× higher affinity than SARS-CoV-1. High ACE2 affinity = high infectivity. "
             "D614G mutation in RBD increases ACE2 binding affinity → ↑transmissibility"],
            ["TMPRSS2 Co-receptor",
             "Host transmembrane serine protease 2 primes Spike for entry; co-expressed with ACE2 in lung "
             "epithelium, gut, kidney → enhances cell-to-cell spread"],
            ["ACE2 Multi-organ Expression",
             "ACE2 present on: lung alveolar cells, heart myocytes, kidney tubular cells, intestinal "
             "enterocytes, vascular endothelium, olfactory sustentacular cells → explains multi-organ tropism"],
            ["IFN-I Antagonism (Immune Evasion)",
             "Nonstructural proteins (NSPs) of SARS-CoV-2 antagonize Type I Interferon (IFN-α/β) genes. "
             "Very little IFN-1 in serum of severe patients → unchecked viral replication"],
            ["Exonuclease (ExoN) Proofreading",
             "Unique proofreading ability → limits random mutations → allows controlled, selective "
             "evolution of adaptive variants (unlike influenza which mutates randomly)"],
            ["Cytokine Storm Induction",
             "Massive dysregulated release of IL-1β, IL-6, IL-8, TNF-α, CCL2, MIP1-α → "
             "immunopathological lung injury, vascular permeability, ARDS, DIC"],
            ["Asymptomatic Transmission",
             "~20–40% infections asymptomatic; peak viral shedding at/before symptom onset "
             "(unlike SARS-CoV-1 where shedding peaked after symptoms) → facilitates widespread spread"],
            ["Furin Cleavage Site",
             "SARS-CoV-2 has a unique furin cleavage site at S1/S2 junction (absent in SARS-CoV-1) → "
             "enhanced entry into broad range of cell types"],
            ["Variants of Concern (VoC)",
             "Mutations in Spike RBD increase transmissibility, pathogenicity, and immune evasion. "
             "Delta (India): ↑transmissibility + virulence. Omicron: highest transmissibility, partial immune escape"],
        ],
        col_widths=[5*cm, 12.6*cm]
    ),
    sp(0.3)]

    # ──────────────────────────────────────────────────────────────────────────
    # SECTION 4 — PATHOGENESIS
    # ──────────────────────────────────────────────────────────────────────────
    story += [section_header("4", "PATHOGENESIS"), sp(0.2),
    sub_header("4A. Step-by-Step Pathogenesis"), sp(0.1)]

    steps = [
        ("STEP 1", "Entry & Upper Respiratory Tract Infection",
         "Virus enters via respiratory route → infects nasopharyngeal/oropharyngeal ciliated epithelial cells. "
         "Spike S1 RBD binds ACE2. TMPRSS2 cleaves S protein → S2 mediates membrane fusion → "
         "viral RNA released into cytoplasm."),
        ("STEP 2", "Viral Replication (Cytoplasm)",
         "+ssRNA translated into polyprotein → cleaved into RdRp, ExoN, and other NSPs. "
         "RdRp directs RNA synthesis. Structural proteins (S, M, E, N) synthesized from subgenomic RNAs. "
         "Assembly in cytoplasm; budding from ER-Golgi membranes."),
        ("STEP 3", "Lower Respiratory Spread",
         "Virus migrates from upper airways down to alveolar epithelial cells (Type I & II pneumocytes), "
         "vascular endothelial cells, alveolar macrophages. Viral load in upper tract peaks early then "
         "declines within 7 days."),
        ("STEP 4", "Innate Immune Evasion",
         "NSPs block IFN-I production (anti-IFN strategy). Low IFN-I → unchecked viral replication. "
         "Simultaneously, pro-inflammatory cytokines IL-6, IL-1β, TNF-α elevated. This 'decoupling' of "
         "antiviral vs. inflammatory response is a key immunopathological mechanism."),
        ("STEP 5", "Cytokine Storm (Severe Disease)",
         "Massive dysregulated immune activation: T lymphocytes, monocytes, neutrophils recruited → "
         "apoptosis of infected cells. Cytokine storm: IL-1β, IL-6, IL-8, TNF-α, CCL2, MIP1-α. "
         "Older patients show higher lymphocytopenia + neutrophilia + elevated inflammatory markers."),
        ("STEP 6", "Pulmonary Injury",
         "Diffuse Alveolar Damage (DAD): hyaline membrane formation, alveolar flooding with exudates. "
         "Endothelial injury → microangiopathy, microthrombosis, aberrant angiogenesis. "
         "Pulmonary edema fills alveolar spaces → early-phase ARDS. "
         "Lymphocytic myocarditis and pericarditis can also occur."),
        ("STEP 7", "Systemic Spread & DIC",
         "ACE2 expression in heart, kidney, intestine, liver → multi-organ infection. "
         "Activated neutrophils/monocytes accumulate in lung, heart, kidney, liver. "
         "Elevated D-dimer + prolonged PT → DIC pathway. Hypercoagulable state → thromboembolism."),
    ]
    for code, title, desc in steps:
        row_data = [[
            Paragraph(f"<b>{code}</b>", S("sc", fontSize=9, textColor=WHITE,
                fontName="Helvetica-Bold", alignment=TA_CENTER)),
            Paragraph(f"<b>{title}</b><br/><font size='9'>{desc}</font>",
                S("sd", fontSize=9, textColor=DARK_TEXT, fontName="Helvetica", leading=13))
        ]]
        t = Table(row_data, colWidths=[2.2*cm, 15.4*cm])
        t.setStyle(TableStyle([
            ("BACKGROUND",   (0,0),(0,0), DEEP_BLUE),
            ("BACKGROUND",   (1,0),(1,0), GREY_BG),
            ("VALIGN",       (0,0),(-1,-1), "TOP"),
            ("TOPPADDING",   (0,0),(-1,-1), 5),
            ("BOTTOMPADDING",(0,0),(-1,-1), 5),
            ("LEFTPADDING",  (0,0),(-1,-1), 6),
            ("BOX",          (0,0),(-1,-1), 0.5, colors.HexColor("#cbd5e1")),
            ("TEXTCOLOR",    (0,0),(0,0), WHITE),
        ]))
        story += [t, sp(0.05)]

    story += [sp(0.2),
    P("⚡ <b>Key Immunological Concept:</b> Cell-mediated immunity (T cells) controls acute infection "
      "and reduces disease severity. Humoral immunity (antibodies) provides longer-lasting protection. "
      "Severe disease = high antibody but impaired T cell response.", EXAM_TIP),
    sp(0.3)]

    # ──────────────────────────────────────────────────────────────────────────
    # SECTION 5 — CLINICAL MANIFESTATIONS
    # ──────────────────────────────────────────────────────────────────────────
    story += [section_header("5", "CLINICAL MANIFESTATIONS & SYMPTOMS"), sp(0.2),
    sub_header("5A. Severity Classification"), sp(0.1),
    make_table(
        ["Severity", "Clinical Definition", "% Cases\n(unvaccinated)"],
        [
            ["Asymptomatic", "SARS-CoV-2 detected; no symptoms; still infectious", "~40%"],
            ["Mild", "Symptoms present; no hypoxia (SpO₂ >94%); no pneumonia", "~40%"],
            ["Moderate", "Lower respiratory tract disease on imaging; SpO₂ >94%", "~15%"],
            ["Severe", "SpO₂ <94%; RR >30/min; bilateral infiltrates on imaging", "~15%"],
            ["Critical", "Respiratory failure + shock + multi-organ dysfunction", "~5%"],
        ],
        col_widths=[3*cm, 11.5*cm, 3.1*cm]
    ),
    sp(0.2),
    sub_header("5B. Symptoms — From Common to Severe"), sp(0.1),
    make_table(
        ["Category", "Symptoms"],
        [
            ["Cardinal Triad\n(most common)", "Fever | Dry Cough | Fatigue"],
            ["Distinctive Features\n(COVID-specific)", "Anosmia (loss of smell) | Ageusia (loss of taste)"],
            ["General", "Myalgia | Headache | Sore throat | Nasal congestion | Rhinorrhea"],
            ["Respiratory", "Shortness of breath / Dyspnea | Chest tightness | Low SpO₂"],
            ["GI Symptoms\n(esp. Omicron)", "Nausea | Vomiting | Diarrhea | Abdominal pain"],
            ["Neurological", "Confusion | Delirium | Cerebral symptoms (severe disease)"],
            ["Warning Signs\n(Emergency)", "Severe dyspnea at rest | Persistent chest pain | Cyanosis (bluish lips/face) | SpO₂ <90% | Confusion"],
        ],
        col_widths=[4*cm, 13.6*cm]
    ),
    sp(0.2),
    P("🧪 <b>Incubation Period:</b> 2–14 days (average <b>5 days</b>). Viral shedding begins 2–3 days "
      "before symptom onset. Peak transmission at or just before symptom onset.", EXAM_TIP),
    sp(0.2),
    sub_header("5C. Risk Factors for Severe Disease"), sp(0.1),
    P("Age >65 years (strongest risk factor) | Obesity | Diabetes | Hypertension | Cardiovascular disease | "
      "Chronic lung disease (COPD, asthma) | Chronic kidney disease | Cancer | Immunocompromised states | "
      "Sickle cell disease | Transplant recipients | Severe obesity", BODY),
    sp(0.3)]

    # ──────────────────────────────────────────────────────────────────────────
    # SECTION 6 — COMPLICATIONS
    # ──────────────────────────────────────────────────────────────────────────
    story += [section_header("6", "COMPLICATIONS"), sp(0.2),
    sub_header("6A. Suppurative Complications (Infectious / Direct)"), sp(0.1),
    P("These arise from direct viral cytopathology, secondary bacterial superinfection, or "
      "healthcare-associated infection in hospitalized patients.", BODY),
    make_table(
        ["Complication", "Pathogenesis / Details"],
        [
            ["Secondary Bacterial Pneumonia",
             "Most common suppurative complication. Organisms: S. aureus (MRSA), S. pneumoniae, "
             "Klebsiella pneumoniae, P. aeruginosa. Occurs in ventilated/ICU patients."],
            ["Ventilator-Associated Pneumonia (VAP)",
             "Complication of mechanical ventilation in critically ill COVID-19 patients. "
             "Multi-drug resistant organisms common."],
            ["Septic Shock",
             "Overwhelming bacterial sepsis from secondary superinfection → multi-organ failure. "
             "Elevated procalcitonin, fever, hemodynamic instability."],
            ["Lung Abscess",
             "Rare; caused by bacterial superinfection of necrotic COVID-19 lung tissue."],
            ["Empyema",
             "Pus in pleural cavity; rare secondary bacterial complication."],
        ],
        col_widths=[5*cm, 12.6*cm],
        header_color=RED_WARN,
        alt_color=RED_LIGHT
    ),
    sp(0.2),
    sub_header("6B. Non-Suppurative Complications (Immune-Mediated / Systemic)"), sp(0.1),
    P("These result from the dysregulated immune response, cytokine storm, hypercoagulable state, "
      "or post-infectious immune mechanisms — not direct bacterial infection.", BODY),
    make_table(
        ["System", "Complication", "Mechanism"],
        [
            ["Pulmonary", "ARDS (Acute Respiratory Distress Syndrome)",
             "Cytokine storm → diffuse alveolar damage → hyaline membranes, alveolar flooding"],
            ["Pulmonary", "Pulmonary Embolism / DVT",
             "Hypercoagulable state (elevated D-dimer, fibrinogen, factor VIII)"],
            ["Pulmonary", "Post-COVID Pulmonary Fibrosis",
             "Residual scarring from severe DAD"],
            ["Cardiovascular", "Myocarditis & Pericarditis",
             "Direct viral (ACE2-mediated) + immune-mediated lymphocytic inflammation"],
            ["Cardiovascular", "Arrhythmias",
             "Cardiac inflammation, electrolyte disturbances, autonomic dysfunction"],
            ["Haematological", "DIC (Disseminated Intravascular Coagulation)",
             "Cytokine-driven endothelial activation → microvascular thrombosis; ↑D-dimer, ↑PT"],
            ["Neurological", "Guillain-Barré Syndrome (GBS)",
             "Post-infectious molecular mimicry → immune-mediated polyneuropathy (demyelinating)"],
            ["Neurological", "Acute Flaccid Myelitis",
             "Post-infectious immune-mediated spinal cord inflammation"],
            ["Neurological", "Encephalopathy / Delirium",
             "Cytokine-mediated neuroinflammation; hypoxia in severe disease"],
            ["Neurological", "Stroke / Cerebral Venous Sinus Thrombosis",
             "Hypercoagulable state → arterial/venous thrombosis"],
            ["Renal", "Acute Kidney Injury (AKI)",
             "ACE2-mediated direct viral tubular injury + cytokine storm"],
            ["Paediatric\n(Special)", "MIS-C — Multisystem Inflammatory Syndrome in Children",
             "Post-COVID immune-mediated; Kawasaki-like features: fever, myocarditis, shock, "
             "CORONARY ARTERY ANEURYSMS; Tx: IVIG + aspirin"],
            ["Long-term", "Long-COVID / PASC",
             "Fatigue, brain fog, dyspnea, myalgia >4 weeks after acute illness; "
             "Possible chronic organ damage (lung, heart, kidney, brain)"],
        ],
        col_widths=[3*cm, 5.2*cm, 9.4*cm],
        header_color=ACCENT_TEAL,
        alt_color=LIGHT_TEAL
    ),
    sp(0.2),
    P("⚠️ <b>Exam Favourite:</b> GBS is the post-infectious non-suppurative neurological complication. "
      "MIS-C is the paediatric post-COVID complication (Kawasaki-like, <b>coronary artery aneurysm</b> is key). "
      "ARDS is the most severe acute complication.", WARN),
    sp(0.3)]

    # ──────────────────────────────────────────────────────────────────────────
    # SECTION 7 — LAB DIAGNOSIS
    # ──────────────────────────────────────────────────────────────────────────
    story += [section_header("7", "LABORATORY DIAGNOSIS"), sp(0.2),
    sub_header("7A. Virological / Direct Tests"), sp(0.1),
    make_table(
        ["Test", "Target", "Specimen", "Sensitivity", "Use"],
        [
            ["RT-PCR (NAAT)\n★ GOLD STANDARD",
             "Viral RNA (ORF1, N gene, E gene)",
             "Nasopharyngeal / Oropharyngeal swab",
             "Very High (>95%)",
             "Definitive diagnosis of CURRENT infection"],
            ["Rapid Antigen Test (RAT)",
             "Viral Nucleocapsid (N) protein antigen",
             "Nasal swab",
             "Moderate (70–85%)",
             "Rapid screening; (+)ve reliable; (-)ve needs RT-PCR confirmation"],
            ["BioFire Respiratory Panel 2.1",
             "Nucleic acids of 15 viruses + 4 bacteria",
             "NP swab",
             "High",
             "Multiplex — differentiates COVID-19 from other respiratory pathogens simultaneously"],
            ["Viral Culture",
             "Live virus isolation",
             "NP swab (BSL-3)",
             "N/A",
             "Research only; not for routine clinical diagnosis"],
        ],
        col_widths=[3.5*cm, 3.8*cm, 3.2*cm, 2.4*cm, 4.7*cm]
    ),
    sp(0.2),
    sub_header("7B. Serological Tests"), sp(0.1),
    make_table(
        ["Test", "Target", "Timing", "Use"],
        [
            ["IgM Antibody", "Anti-SARS-CoV-2 IgM", "Appears: 5–7 days after infection",
             "Early infection marker (less specific)"],
            ["IgG Antibody", "Anti-SARS-CoV-2 IgG (esp. anti-Spike, anti-N)",
             "Appears: 10–14 days; peaks 3–4 weeks",
             "Past infection, immune surveillance — NOT for acute diagnosis"],
            ["Neutralising Antibody", "Inhibits Spike-ACE2 binding", "Post-infection/vaccination",
             "Research; assessing protective immunity"],
        ],
        col_widths=[3.5*cm, 5*cm, 4.5*cm, 4.6*cm]
    ),
    sp(0.2),
    sub_header("7C. Supportive Lab Findings in Severe COVID-19"), sp(0.1),
    make_table(
        ["Investigation", "Finding in Severe COVID-19", "Significance"],
        [
            ["CBC", "Lymphopenia (↓CD4/CD8 T cells) + Neutrophilia", "Hallmark of severe disease; marker of cytokine storm"],
            ["D-dimer", "Markedly elevated", "DIC / venous thromboembolism risk"],
            ["CRP", "Very high (>100 mg/L in severe)", "Systemic inflammation marker"],
            ["IL-6", "Highly elevated", "Key cytokine storm mediator; targets for tocilizumab"],
            ["Ferritin", "Elevated (hyperferritinaemia)", "Macrophage activation; inflammation"],
            ["LDH", "Elevated", "Tissue necrosis, widespread damage"],
            ["Procalcitonin", "Elevated if bacterial superinfection", "Differentiates bacterial from viral"],
            ["Troponin / BNP", "Elevated", "Myocarditis / cardiac injury"],
            ["Prothrombin Time", "Prolonged", "DIC; coagulation pathway activation"],
            ["Creatinine / BUN", "Elevated", "AKI involvement"],
            ["Chest X-ray / CT", "Bilateral ground-glass opacities, consolidation, 'crazy-paving' pattern",
             "Viral pneumonia / ARDS pattern — peripheral, bilateral"],
            ["SpO₂ / ABG", "SpO₂ <90%; PaO₂ <60 mmHg; type 1 respiratory failure", "Hypoxaemia, ARDS"],
        ],
        col_widths=[3.8*cm, 7*cm, 6.8*cm]
    ),
    sp(0.2),
    P("📌 <b>Key Diagnostic Principle:</b> Antibody tests detect PAST infection/immunity only. "
      "For CURRENT infection diagnosis: always use RT-PCR or RAT. "
      "Wastewater surveillance of SARS-CoV-2 RNA helps track community-level prevalence.", EXAM_TIP),
    sp(0.3)]

    # ──────────────────────────────────────────────────────────────────────────
    # SECTION 8 — TREATMENT
    # ──────────────────────────────────────────────────────────────────────────
    story += [section_header("8", "TREATMENT"), sp(0.2),
    sub_header("8A. Antiviral Therapy"), sp(0.1),
    make_table(
        ["Drug", "Class / Mechanism", "Indication", "Route"],
        [
            ["Remdesivir", "Nucleotide analogue; inhibits RdRp → blocks viral RNA synthesis",
             "Hospitalized patients requiring O₂; given for 5 days", "IV infusion"],
            ["Nirmatrelvir/Ritonavir\n(Paxlovid)", "Viral 3CL-protease inhibitor (Nirmatrelvir);\nRitonavir boosts levels",
             "High-risk outpatients within 5 days of symptom onset", "Oral"],
            ["Molnupiravir", "Mutagenic nucleoside analogue; induces viral RNA errors",
             "Alternative for high-risk outpatients (if Paxlovid not available)", "Oral"],
        ],
        col_widths=[3.8*cm, 6*cm, 5.3*cm, 2.5*cm]
    ),
    sp(0.2),
    sub_header("8B. Anti-Inflammatory / Immunomodulatory Therapy"), sp(0.1),
    make_table(
        ["Drug", "Class / Mechanism", "Indication"],
        [
            ["Dexamethasone ★",
             "Corticosteroid; suppresses cytokine storm; reduces inflammation-mediated lung injury",
             "Hospitalised patients requiring supplemental O₂ or ventilation. 6 mg/day × 10 days. "
             "DO NOT use in mild disease (may worsen outcome)."],
            ["Tocilizumab",
             "Anti-IL-6 receptor monoclonal antibody; blocks IL-6 signalling",
             "Severe/critical COVID-19 with cytokine storm and elevated CRP; used with dexamethasone"],
            ["Baricitinib",
             "JAK1/JAK2 inhibitor; blocks cytokine signalling pathway",
             "Hospitalised adults requiring O₂, NIV, or mechanical ventilation; alternative to tocilizumab"],
        ],
        col_widths=[4*cm, 6.5*cm, 7.1*cm]
    ),
    sp(0.2),
    sub_header("8C. Monoclonal Antibodies (mAbs)"), sp(0.1),
    make_table(
        ["Drug", "Target", "Use"],
        [
            ["Bamlanivimab", "SARS-CoV-2 Spike glycoprotein", "High-risk outpatients; prevents progression (FDA EUA)"],
            ["Casirivimab + Imdevimab (REGEN-COV)", "Spike RBD (cocktail — two mAbs)", "High-risk patients; prevents hospitalisation"],
            ["Bebtelovimab / Sotrovimab", "Spike protein (different epitopes)", "Omicron-active; replacing earlier mAbs"],
        ],
        col_widths=[5*cm, 6.5*cm, 6.1*cm]
    ),
    sp(0.1),
    P("⚠️ Note: Efficacy of monoclonal antibodies varies by variant. Many early mAbs (bamlanivimab, "
      "casirivimab+imdevimab) have reduced activity against Omicron subvariants.", NOTE),
    sp(0.2),
    sub_header("8D. Supportive Care (Severe / Critical Disease)"), sp(0.1),
    make_table(
        ["Intervention", "Details"],
        [
            ["Supplemental Oxygen", "Low-flow (nasal cannula) → High-flow nasal O₂ (HFNO) → Non-invasive ventilation (NIV) → Invasive mechanical ventilation"],
            ["Prone Positioning", "Improves oxygenation in ARDS by recruiting posterior lung segments; ≥16 hours/day recommended"],
            ["Mechanical Ventilation", "For respiratory failure (PaO₂/FiO₂ <150 mmHg); lung-protective strategy: low tidal volume 6 mL/kg, PEEP titration"],
            ["Anticoagulation", "Prophylactic / therapeutic heparin for VTE prevention/treatment; guided by D-dimer and clinical risk"],
            ["Vasopressors", "Noradrenaline for septic shock maintaining MAP ≥65 mmHg"],
            ["ICU Care", "Continuous monitoring, multi-organ support, nutritional support, prevention of secondary infections"],
        ],
        col_widths=[4.5*cm, 13.1*cm]
    ),
    sp(0.2),
    sub_header("8E. Prevention & Vaccines"), sp(0.1),
    make_table(
        ["Vaccine / Measure", "Type / Details", "Efficacy"],
        [
            ["Pfizer-BioNTech (Comirnaty)", "mRNA — encodes Spike glycoprotein; 2 doses, 3 weeks apart",
             "~95% vs. severe disease (original strain)"],
            ["Moderna (Spikevax)", "mRNA — encodes Spike glycoprotein; 2 doses, 4 weeks apart",
             "~94% vs. severe disease"],
            ["Johnson & Johnson (Janssen)", "Replication-incompetent human adenovirus vector (Ad26); single dose",
             "~66–72% vs. symptomatic disease"],
            ["Covishield / AstraZeneca", "ChAdOx1 adenovirus vector encoding Spike; 2 doses", "~70–90% vs. severe disease"],
            ["Covaxin (Bharat Biotech)", "Whole-inactivated virus; 2 doses; widely used in India",
             "~77% vs. symptomatic disease"],
            ["Non-pharmacological", "Masking (N95 > surgical > cloth) | Social distancing ≥6 feet | "
             "Hand hygiene (≥60% alcohol sanitiser) | Ventilation | Quarantine/Isolation", "Additive protection"],
        ],
        col_widths=[4.5*cm, 7.5*cm, 5.6*cm]
    ),
    sp(0.3)]

    # ──────────────────────────────────────────────────────────────────────────
    # SECTION 9 — MNEMONICS & EXAM TIPS
    # ──────────────────────────────────────────────────────────────────────────
    story += [section_header("9", "MNEMONICS & EXAM TIPS", color=colors.HexColor("#065f46")), sp(0.2),
    P("📝 <b>MNEMONIC — Structural Proteins of Coronavirus: S.M.E.N</b>", BOLD_BODY),
    P("  <b>S</b> — Spike glycoprotein (binds ACE2; vaccine target)<br/>"
      "  <b>M</b> — Membrane glycoprotein (most abundant)<br/>"
      "  <b>E</b> — Envelope glycoprotein (ion channel; virulence)<br/>"
      "  <b>N</b> — Nucleocapsid phosphoprotein (packages RNA; diagnostic antigen)", BODY),
    sp(0.1),
    P("📝 <b>MNEMONIC — Symptoms of COVID-19: FACT-CAD</b>", BOLD_BODY),
    P("  <b>F</b> — Fever<br/>"
      "  <b>A</b> — Anosmia / Ageusia<br/>"
      "  <b>C</b> — Cough (dry)<br/>"
      "  <b>T</b> — Tiredness / Fatigue<br/>"
      "  <b>C</b> — Chest pain<br/>"
      "  <b>A</b> — Aches (myalgia, headache)<br/>"
      "  <b>D</b> — Dyspnea (shortness of breath)", BODY),
    sp(0.1),
    P("📝 <b>MNEMONIC — Cytokines in Cytokine Storm: IL-6 = I Let-6 go</b>", BOLD_BODY),
    P("Key cytokines: <b>IL-1β, IL-6, IL-8, TNF-α, CCL2</b> — all elevated in severe COVID-19. "
      "IL-6 is THE most important → targeted by Tocilizumab.", BODY),
    sp(0.2),
    make_table(
        ["Exam Question Type", "Key Answer"],
        [
            ["Gold standard diagnosis of COVID-19", "RT-PCR of nasopharyngeal swab"],
            ["Unique feature distinguishing COVID-19 from other respiratory viruses", "Anosmia + Ageusia (loss of smell and taste)"],
            ["Receptor used by SARS-CoV-2 for cell entry", "ACE2 (+ TMPRSS2 for priming)"],
            ["Most severe acute complication of COVID-19", "ARDS (Acute Respiratory Distress Syndrome)"],
            ["Post-infectious neurological complication", "Guillain-Barré Syndrome (GBS)"],
            ["Paediatric post-COVID complication", "MIS-C — features of Kawasaki disease including coronary artery aneurysms"],
            ["Treatment of severe COVID-19 (drug of choice for hospitalised)", "Dexamethasone 6 mg/day × 10 days + Remdesivir"],
            ["Why SARS-CoV-2 is more contagious than SARS-CoV-1", "Asymptomatic transmission; peak viral shedding BEFORE symptom onset (vs. after in SARS-CoV-1)"],
            ["Component detected by rapid antigen test", "Nucleocapsid (N) protein antigen"],
            ["Which vaccine platform is used by Pfizer/Moderna", "mRNA vaccine encoding Spike glycoprotein"],
            ["Severity classification: critical illness", "Respiratory failure + shock + multi-organ dysfunction (~5% of cases)"],
            ["What gives coronavirus its name?", "Crown-like spike projections visible on EM (corona = crown in Latin)"],
        ],
        col_widths=[7.5*cm, 10.1*cm],
        header_color=colors.HexColor("#065f46"),
        alt_color=GREEN_LIGHT
    ),
    sp(0.3)]

    # ──────────────────────────────────────────────────────────────────────────
    # SECTION 10 — QUICK SUMMARY TABLE
    # ──────────────────────────────────────────────────────────────────────────
    story += [section_header("10", "QUICK SUMMARY — ONE-PAGE REVISION"), sp(0.2),
    make_table(
        ["Category", "Key Points"],
        [
            ["Agent", "SARS-CoV-2 | Family: Coronaviridae | Genus: Betacoronavirus"],
            ["Genome", "+ssRNA, ~30 kb, largest RNA genome, helical nucleocapsid, enveloped"],
            ["Size", "80–160 nm"],
            ["Key Receptor", "ACE2 (Angiotensin-Converting Enzyme 2) + TMPRSS2"],
            ["Transmission", "Respiratory droplets (primary) | Aerosol | Contact (minor)"],
            ["Incubation", "2–14 days (average 5 days)"],
            ["Key Structural Proteins", "Spike (S), Membrane (M), Envelope (E), Nucleocapsid (N)"],
            ["Virulence Factors", "Spike RBD–ACE2 binding | TMPRSS2 | IFN-I antagonism | Cytokine storm | Asymptomatic transmission | Furin cleavage site"],
            ["Pathogenesis", "URT entry → ACE2 binding → replication → cytokine storm → DAD → ARDS/DIC"],
            ["Cardinal Symptoms", "Fever | Dry Cough | Anosmia | Ageusia | Fatigue"],
            ["Severity Spectrum", "40% asymptomatic | 40% mild | 15% moderate | 15% severe | 5% critical"],
            ["Lab Diagnosis", "RT-PCR (gold std) | RAT (rapid) | BioFire panel | Antibody (past exposure only)"],
            ["Suppurative Complications", "Bacterial superinfection | VAP | Septic shock | Lung abscess"],
            ["Non-Suppurative Complications", "ARDS | DIC | Myocarditis | GBS | MIS-C | Stroke | AKI | Long COVID"],
            ["Treatment", "Remdesivir (antiviral) + Dexamethasone (anti-inflammatory) + Supportive care"],
            ["Prevention", "mRNA vaccines (Pfizer, Moderna) | Masking | Social distancing | Hand hygiene"],
            ["Most Severe Acute Complication", "ARDS with respiratory failure"],
            ["Paediatric Complication", "MIS-C — Kawasaki-like, coronary artery aneurysms, myocarditis"],
            ["Post-Infectious Neurological", "Guillain-Barré Syndrome (GBS) — acute inflammatory demyelinating polyneuropathy"],
            ["Long-term Sequelae", "Long-COVID / PASC — fatigue, brain fog, dyspnea >4 weeks"],
        ],
        col_widths=[5*cm, 12.6*cm]
    ),
    sp(0.4),
    P("Sources: <b>Sherris &amp; Ryan's Medical Microbiology 8e</b> (pp. 355–368) | "
      "<b>Goldman-Cecil Medicine 27e</b> (Chapter 336) | "
      "<b>Robbins &amp; Cotran Pathologic Basis of Disease 10e</b> | "
      "<b>Harrison's Principles of Internal Medicine 22e</b> | "
      "Aligned with Apurba Sastri Microbiology syllabus", NOTE)]

    doc.build(story, onFirstPage=add_page_number, onLaterPages=add_page_number)
    print(f"PDF generated: {OUTPUT_PATH}")
    return OUTPUT_PATH

if __name__ == "__main__":
    build()

cd /home/daytona/workspace/covid19-study-guide && python3 generate_pdf.py 2>&1

ls -lh /home/daytona/workspace/covid19-study-guide/COVID19_MBBS_Study_Guide.pdf