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

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