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  1. 10 common errors in surveillance evaluations
  2. About
  3. Acquired resistance
  4. Additional resources for presenting findings
  5. Advantages and Disadvantages of Questionnaires
  6. Advantages and disadvantages of cohort and case control studies
  7. Advantages and disadvantages of matching
  8. Aesthetic preferences
  9. Aide memoire for oral presentations and visual aids
  10. Analysis, Interpretation, and Dissemination
  11. Analysis by person characteristics
  12. Analytical Study Designs
  13. Antibodies
  14. Antigen presenting cells (APC)
  15. Antigens (Ag)
  16. Antimicrobial resistance
  17. Antimicrobial stewardship
  18. Applying Epidemiology for the International Health Regulations.
  19. Apps for epidemiologists
  20. Ascertainment Bias
  21. Attack rate
  22. Bar graphs
  23. Bias in Questionnaires
  24. Bioinformatics
  25. Bloodstream Infection
  26. Bone and Joint Infection
  27. Brief history of International Communicable Disease Law
  28. Burden of HAIs
  29. CAUTI
  30. CLABSI
  31. Capture-recapture
  32. Cardiovascular System Infection
  33. Case-cohort study
  34. Case cross over studies
  35. Case to case study design
  36. Catheter-Related Infection
  37. Causal mechanisms
  38. Central Nervous System Infection
  39. Checklist for posters
  40. Checklist for study protocols
  41. Choosing a method of data display
  42. Choosing an appropriate type of map
  43. Clinical role of the microbiology laboratory
  44. Cognitive bias
  45. Cohorting patients and/or staff
  46. Combining Studies: Meta-Analysis
  47. Common errors in surveillance data analysis
  48. Concepts in sampling
  49. Confidence Intervals
  50. Confounding in studies
  51. Contact precautions
  52. Contact tracing
  53. Continuing Source
  54. Control Selection
  55. Cooperative learning as active learning in adult
  56. Cost-effectiveness
  57. Cost-minimisation
  58. Cost-utility
  59. Crisis communication
  60. Criteria for Surveillance
  61. Criteria for confounding
  62. Cross-sectional Studies
  63. Data collection instrument
  64. Defining a Case
  65. Definition of an Outbreak Investigation Report
  66. Density case control studies
  67. Descriptive Studies
  68. Detection Bias
  69. Developing a control definition
  70. Developing infection control interventions: isolation
  71. Diagnostic Applications of the Epidemic Curve
  72. Diagnostic bias
  73. Diagnostic tests versus screening test
  74. Disasters and Emergencies
  75. Disentangling Complex Data
  76. Distinguishing Different Sources or Modes of Transmission during an outbreak
  77. Dose Effect
  78. ECDC PPS - antimicrobial use definition
  79. ECDC PPS - inclusion/exclusion criteria
  80. ECDC PPS in European acute care hospitals, definition of HAI
  81. ECDC PPS in European acute care hospitals protocol
  82. ECDC Programme on antimicrobial resistance and healthcare-associated infections
  83. ECDC point prevalence survey of healthcare-associated infections and antimicrobial use in long term care facilities
  84. ECDC surveillance of Surgical Site Infections
  85. EU Food Safety Legislation
  86. EU Legislation for Communicable Diseases Surveillance
  87. Education and training of staff
  88. Effect Modification
  89. Electronic Data Transfer
  90. Environment as a source of healthcare-associated infections
  91. Epidemiological/public health role of the clinical microbiology laboratory
  92. Erythema infectiosa
  93. Estimating Odds Ratios in the presence of interaction
  94. European Antimicrobial Resistance Surveillance Network (EARS-Net)
  95. European Surveillance of Antimicrobial Consumption Network (ESAC-Net)
  96. Evaluation of Screening
  97. Evaluation of the microbicidal activities of hand-rub and hand-wash agents
  98. Event-based Surveillance
  99. Experimental Studies
  100. Expert Advice
  101. Eye, Ear, Nose or Mouth Infection
  102. FEM-WIKI
  103. FEM Users code of conduct
  104. Five moments for hand hygiene
  105. Formal Risk Assessment
  106. Format of closed questions
  107. Frequency polygons
  108. Frequent Problems with writing an Outbreak Investigation Report
  109. Gastrointestinal System Infections
  110. Glossary
  111. Gloves and hand hygiene
  112. HFMD
  113. Hand hygiene before invasive procedures
  114. Hand hygiene education and promotion
  115. Hand hygiene for patients and visitors
  116. Hand hygiene methods
  117. Health Informatics Standards - Health Information Systems and Processes
  118. Health Informatics Standards - Standard Content
  119. Health advocacy
  120. Health care settings
  121. Health education
  122. Health literacy
  123. Healthcare-Associated Infections Network (HAI-Net)
  124. Helminthic mechanisms of immune evasion
  125. Herd immunity
  126. Histograms
  127. Hospital cleaning and decontamination
  128. Host tracing
  129. Hygiene and Sanitation
  130. Identifying Multiple Possible Outbreak Sources
  131. Immunization of health care workers
  132. Impact numbers
  133. Incidence rate
  134. Incubation period, Latent period and Generation time
  135. Indications for hand hygiene
  136. Interaction
  137. Interpreting Data
  138. Interpreting model coefficients
  139. Interviewer Bias
  140. Isolation of patients with Clostridium difficile infection (CDI)
  141. Key definitions in infectious diseases epidemiology
  142. Laboratory Support
  143. Line graphs
  144. Linear models
  145. Lobbying
  146. Lower Respiratory Tract Infection other than pneumonia
  147. Maps
  148. Measles
  149. Measures of Accuracy in Screening
  150. Measures of association
  151. Measures of disease impact - Further reading
  152. Measures of effect in various study designs
  153. Measures of impact among the exposed
  154. Measures of impact in the population
  155. Measuring incidence rates
  156. Measuring protection
  157. Measuring risk
  158. Measuring the Quality of Healthcare
  159. Mechanism of infectious disease
  160. Mechanisms of antimicrobial resistance
  161. Methods for assessing environmental cleanliness
  162. Methods for setting thresholds in time series analysis
  163. Microbial flora of the hands
  164. Microbial typing
  165. Misinformation and False Evidence
  166. Model building strategies
  167. Molecular epidemiology
  168. Multidrug-resistant organisms (MDRO)
  169. Nails, rings, watches, bracelets
  170. Non-response bias
  171. Objectives of Surveillance
  172. Online Reporting
  173. Other types of data display
  174. Outbreak communication
  175. Outbreak investigations: 10 steps, 10 pitfalls
  176. Outbreak steps : additional points
  177. Parallel versus Serial testing
  178. Person to Person
  179. Pie charts
  180. Pilot testing
  181. Piloting Questionnaires
  182. Pneumonia
  183. Point Source
  184. Policy and Real World Evidence
  185. Political Interests and Populism
  186. Possible Terrorist / Deliberate Event
  187. Practical Aspects of Specimen Collection and Shipment
  188. Pre-emptive isolation
  189. Presenting Data
  190. Presenting Statistics
  191. Prevalence
  192. Preventing bias
  193. Primary prevention
  194. Principles of Screening
  195. Principles of matching
  196. Prisons
  197. Privacy policy
  198. Probability
  199. Product accessibility and cost
  200. Public health response (informing control)
  201. Quality, Governance, and Operating Procedures
  202. Quality checking
  203. Quantifying disease burden
  204. Questionnaire Layout and Coding
  205. Recall Bias
  206. Receiver operating curve
  207. Reference group for cohort studies
  208. Referral bias
  209. Relation between risk and incidence rate
  210. Reporting Bias
  211. Reprocessing of flexible endoscopes
  212. Reproductive Tract Infections
  213. Reservoir for infectious agents
  214. Residual Confounding
  215. Response Bias
  216. Restriction
  217. Risk communication
  218. Risks and Rates
  219. Risks and rates
  220. Roseola
  221. Rubella
  222. SMART definitions
  223. SOCO (single over-riding communications objective)
  224. SSI
  225. Scarlatina
  226. Schools
  227. Scientific Uncertainty
  228. Scientific paper review form
  229. Secondary prevention
  230. Selection and evaluation for specific products
  231. Selection bias and cohort studies
  232. Semmelweis
  233. Sensitivity Analysis
  234. Sensitivity and Specificity of a case definition
  235. Seven Golden Rules to Design Questions
  236. Significant probability to be different from the expected
  237. Skin and Soft Tissue Infections
  238. Skin care
  239. Smoothing techniques
  240. Social marketing
  241. Software for epidemiologists
  242. Some key recitals under 1082
  243. Source of infection
  244. Sources and Types of Data
  245. Sources and Types of Surveillance Data
  246. Spatial Analysis (Geographical Information Systems)
  247. Special Considerations in Control Selection
  248. Specific Neonatal Case definitions
  249. Stage 0: Preparation for rapid risk assessment
  250. Stage 1: Collecting event information
  251. Stage 2: Systematically collecting information
  252. Stage 3: Extracting relevant evidence
  253. Stage 4: Appraising evidence
  254. Stage 5; Estimating the risk
  255. Standard precautions
  256. Standardization of rates
  257. Statistical Methods for Cluster Investigation
  258. Structure of an Outbreak Investigation Report
  259. Surgical Site Infection
  260. Surveillance - Opportunities and Challenges
  261. Surveillance System Design and Operation
  262. Surveillance for MV Patients in the ICU
  263. Surveillance methodologies for healthcare associated infections
  264. Surveillance of Clostridium difficile infections
  265. Surveillance of HAIs in intensive care units
  266. Surveillance or Research
  267. Survival bias
  268. Systemic Infections
  269. Table format and Analysis
  270. Table measuring risk, rate and odds ratio
  271. Tables
  272. Ten Steps to Design a Questionnaire
  273. Tertiary prevention
  274. Test Precision
  275. Test Reproducibility
  276. Test reliability
  277. The Components of Surveillance
  278. The European Surveillance System (TESSy)
  279. The Mantel Haenszel Method
  280. The Role of Surveillance
  281. The idea of Statistical Inference
  282. The logistic model
  283. The outbreak management team
  284. Threshold setting
  285. To Public and the Media
  286. Traditional case-control studies
  287. Transmission routes
  288. Types of Cluster
  289. Types of Microorganisms
  290. Types of Questionnaires
  291. Types of Surveillance System (Active vs Passive)
  292. Types of variables and line listing
  293. Unmasking Outbreak Source through Segmentation
  294. Urinary Tract Infection
  295. Use of Epidemic Curves for characterising Outbreak Sources
  296. Use of computers
  297. Uses of Surveillance Data
  298. VAP
  299. Validated questionnaires
  300. Validity and accuracy
  301. Varicella
  302. Various Levels of Case Definition
  303. Vector Borne
  304. Viewpoints for Causality (Bradford Hill)
  305. Web-crawling Applications
  306. Weblinks for epidemiologists
  307. What determines our susceptibility to infections?
  308. Which indicator to map?
  309. Writing an Outbreak Investigation Report
  310. Writing for Stakeholders
  311. Writing style of an Outbreak Investigation Report

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