A unique and complete program that covers everything you need to become an expert in Epidemiological Analysis” 

Within the multiple veterinary disciplines there is a common objective, which is to increase the health of animal populations. Because of this, the study of diseases in public health, the identification of populations at risk and prevention strategies or treatments are fundamental factors, which makes experts in the field are increasingly in demand. 

For this reason, TECHhas designed a Postgraduate diploma in Epidemiological Analysis with which students can develop specialized knowledge and sufficient autonomy to carry out their work with maximum efficiency. Therefore, the syllabus covers topics such as the Epidemiological Method, Emerging Diseases, Biostatistics, Population Studies or

Management of Adverse Events and Crisis, among many other aspects of great relevance. 
All this, in a convenient 100% online mode that allows students to combine their studies with their other obligations, without any limits or pre-established schedules. In addition, with the total availability of a large amount of content and additional information, which results in the most complete, dynamic and accurate program in the academic market.  

Deepen your knowledge in relevant areas such as Adverse Event Management and Crisis Management”   

This Postgraduate diploma in Epidemiological Analysis contains the most complete and up-to-date scientific program on the market. Its most notable features are:  

• The development of practical cases presented by experts in Epidemiological Analysis
• The graphic, schematic and eminently practical contents with which it is conceived gather scientific and practical information on those disciplines that are indispensable for professional practice 
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies 
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments 
• Content that is accessible from any fixed or portable device with an Internet connection 

You will be able to enjoy a wide variety of material in the Virtual Campus, with which to acquire knowledge in Pharmacovigilance and Pharmacoeconomics” 

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.  

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.  

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts.      

Work with the most complete and updated didactic materials in Epidemiological Analysis” 

Perfect your skills in Genetic Traits and Diseases” 

The structure and content of this program have been created based on the experience and knowledge of TECH's outstanding team of experts.  
In addition, always under the foundations of the most efficient pedagogical methodology, Relearning, which allows the student to assimilate the essential concepts in a natural, reliable and precise way.   

Thanks to the most efficient pedagogical methodology, Relearning, you won't have to invest extra hours in studying the program”  

Module 1.  Applied Epidemiology in Veterinary Clinical Trials 

1.1. Veterinary Epidemiology  

1.1.1. Historical Background.  

1.1.2. Epidemiology and Its Uses  

1.1.3. Causality Criteria  

1.1.3.1. Koch's Postulates  

1.1.3.2. Bradford Hill Criteria  

1.1.3.3. Evans' Postulates  

1.1.4. Association Types  

1.1.5. Epidemiological Research  

1.1.6. Epidemiological Methods 

1.1.6.1. Qualitative Epidemiology   

1.1.6.2. Quantitative Epidemiology 

1.1.7. Disease Determinants  

1.1.7.1. Factors: Agent, Host, and Environment 

1.1.8. Pattern of Disease Progression  

1.1.8.1. Transmission, Repertoires, Hosts and Vectors 

1.1.8.2. Biological Cycles 

1.1.9. Emerging Diseases and Zoonoses  

1.2. Epidemiological Data Analysis  

1.2.1. Data Collection 

1.2.1.1. Epidemiological Surveys  

1.2.2. Nature of Data  

1.2.3. Databases. Examples of Veterinary Databases and Information Systems  

1.2.3.1. Stata Databases  

1.2.3.2. SPSS Databases  

1.2.4. Types of Variables  

1.2.5. Interpretation of Results

1.2.5.1. Pie Charts 

1.2.5.2. Bar Chart  

1.2.5.3. Histograms  

1.2.5.4. Stem and Leaves  

1.2.5.5. Cumulative Frequency Polygon 

1.2.5.6. Box Chart  

1.2.5.7. Scatter Plot 

1.2.6. Cartography 

1.2.6.1. Geographical Information Systems  

1.3. Population Structure  

1.3.1. Animal Population Structure  

1.3.2. Presentation of a Collective Disease  

1.3.2.1. Endemic  

1.3.2.2. Epidemic Outbreak  

1.3.2.3. Epidemic or Epizootic  

1.3.2.4. Pandemic  

1.3.2.5. Sporadic 

1.3.3. Measurement of Disease in the Population 

1.3.3.1. Prevalence   

1.3.3.2. Incidence and Cumulative Incidence   

1.3.3.3. Incidence Rate or Density  

1.3.4. Relationships between the Different Parameters  

1.3.4.1. Calculation of the Relationship between Prevalence and Incidence  

1.3.5. Rate Adjustment  

1.3.6. Measuring Disease Presentation  

1.3.6.1. Mortality and Mortality Ratio  

1.3.6.2. Morbidity  

1.3.6.3. Lethality  

1.3.6.4. Survival  

1.3.7. Epidemic Curves 

1.3.8. Temporal Disease Distribution 

1.3.8.1. Single-Source Epidemics  

1.3.8.2. Epidemics by Propagation  

1.3.8.3. Kendall's Theorem  

1.3.9. Evolution of Endemic Situations 

1.3.9.1. Time Trends  

1.3.9.2. Spatial Disease Distribution 

1.4. Epidemiological Research  

1.4.1. Study Planning 

1.4.2. Types of Epidemiological Studies  

1.4.2.1. By Purpose  

1.4.2.2. By Sense of Analysis  

1.4.2.3. By Time Relationships  

1.4.2.4. By Units of Analysis  

1.5. Diagnostic Epidemiology 

1.5.1. Use of Diagnostic Tests  

1.5.2. Diagnostic Concepts  

1.5.3. Reliability Assessment of Diagnostic Tests 

1.5.3.1. Sensitivity  

1.5.3.2. Specificity  

1.5.4. Relationship between Prevalence, Sensitivity and Specificity 

1.5.5. Diagnostic Probability Ratio  

1.5.6. Youden's Test  

1.5.7. Threshold Value  

1.5.8. Concordance of Diagnostic Tests  

1.5.8.1. Kappa Calculation  

1.6. Sample Size in Epidemiological Studies  

1.6.1. What Are Samples?   

1.6.2. Terms Related to Sampling  

1.6.2.1. Target Population 

1.6.2.2. Population Study  

1.6.2.3. Study Subjects  

1.6.2.4. External and Internal Validity  

1.6.3. Selection Criteria  

1.6.4. Types of Sampling  

1.6.4.1. Probabilistic  

1.6.4.2. Non-Probabilistic 

1.6.5. Sample Size Calculation 

1.6.6. Sample Size for Estimating the Mean of a Population  

1.6.7. Sample Size for Estimating Proportions

1.6.7.1. Sample Size Adjustments  

1.6.7.2. Calculation of the Accepted Error for a Preset Sample 

1.6.8. Sample Size for Estimating Difference Between Proportions  

1.6.9. Sample Size for Estimating Mean Difference 

1.6.10 Errors  

1.6.10.1. Random Error  

1.6.10.2. Systematic Error or Bias  

1.7. Observational Analytical Studies in Epidemiological Studies  

1.7.1. Effect Measures  

1.7.1.1. Case-Control Studies: Odds Ratio  

1.7.1.2. Cohort Studies: Relative Risk  

1.7.2. Impact Measures  

1.7.2.1. Attributable Risk in Exposures  

1.7.2.2. Fraction Attributable in Exposures  

1.7.2.3. Attributable Population Risk  

1.7.2.4. Population Attributable Fraction  

1.7.3. Confusion and Interaction  

1.8. Experimental Studies in the Epidemiological Study  

1.8.1. Types of Experimental Studies  

1.8.2. Experimental Elements  

1.8.3. Experimental Study Design 

1.8.4. Statistical Analysis  

1.8.4.1. Exposure Effect  

1.9. Epidemiological Statistics 

1.9.1. Types of Statistics 

1.9.1.1. Analytics  

1.9.1.2. Descriptive or Inferential  

1.9.2. Relationship between Epidemiology and Biostatistics 

1.10. Review in Clinical Epidemiological Research  

1.10.1. Systematic Review and Meta-Analysis   

1.10.2. BORRAR  

1.10.3. Hypothesis Origin  

1.10.4.Selection of the Study Population 

1.10.4.1. Information Search  

1.10.4.2. Inclusion Criteria  

1.10.5. Data Collection 

1.10.5.1. Importance of Source and Measurement of Data  

1.10.6. Combination Methods 

1.10.6.1. Mantel-Haensel Method  

1.10.7. Heterogeneity Studies 

1.10.8. Publication Bias  

1.10.9. Health Significance of Meta-Analysis 

Module 2. Genetic Diseases in Veterinary Clinical Trials (VCT) Veterinary Genetic Epidemiology  

2.1. Cities 

2.1.1. Attributes to Highlight in a Population 

2.1.1.1. Common and Ethnicity Attributes  

2.1.1.2. Methods and Estimates of Gene Phylogeny in Populations 

2.1.1.3. Populations, Social Level and Health Plan: Epidemiological Influence 

2.2. Distributions of Disease Traits in Animal Populations. Genetic Databases 

2.2.1. Genetic Traits and Diseases 

2.2.1.1. Qualitative Determinants of Disease 

2.2.1.2. Quantitative Traits and Disease Susceptibility 

2.2.1.3. Genetic Disease Databases and their Application to Epidemiology 

2.2.1.4. NCBI Searches 

2.2.1.5. Species-Specific Databases on Genetic Diseases 

2.3. Interaction in the Genetic Epidemiological Triad 

2.3.1. Elements of the Epidemiological Triad    

2.3.2. Host, Genetic Make-Up and Environment 

2.3.2.1. Genetic Make-Up and its Relevance  

2.3.2.2. Genotype-Environment Interaction 

2.4. Genetic Epidemiology in the Light of Koch's Postulates. Part I  

2.4.1. Epidemiology of Cytogenetic Animals  

2.4.2. Diseases Due to Genetic Alterations of Major Effect 

2.4.2.1. Cause of Disease: Single Gene Disorders“Monogenic"  

2.4.2.2. Genetic Heterogeneity in Monogenic Diseases 

2.5. Genetic Epidemiology in the Light of Koch's Postulates. Part II  

2.5.1. Multifactorial Cause of Disease: Genetic Component 

2.5.1.1. High Heritability 

2.5.1.2. Low Heritability 

2.5.2. Multifactorial Cause of Disease: Environmental Component 

2.5.2.1. Infectious Causes as an Environmental Component 

2.5.2.2. Cause of Disease and Environmental Exposure 

2.5.3. Interaction Between Components 

2.6. Data Collection and Analysis Strategy: Population Studies vs. Family Studies 

2.6.1. Population Studies 

2.6.1.1. Evaluation of the Distribution of Traits in Populations 

2.6.1.2. Identification of Risk Factors and their Importance 

2.6.2. Family Studies 

2.6.2.1. Evaluation of Trait Distribution in Families 

2.6.2.2. Identification of Risk Factors, Aggregation and their Importance 

2.6.3. Combining Population and Family Studies  

2.7. Data Collection Strategy and Analysis: Components of a Study of a Common Complex Disease 

2.7.1. Measuring Disease Burdens  

2.7.1.1. Different Ways of Measuring Disease Burdens  

2.7.2. Morbidity Measures 

2.7.2.1. Cumulative Incidence  

2.7.2.2. Prevalence 

2.7.2.3. Disease Duration 

2.8. Main Analytical Study Designs 

2.8.1. Cross-Sectional Design (Current Prevalence) 

2.8.2. Cohort Design (Prospective) 

2.8.3. Case-Control Design (Retrospective)  

2.8.4. Association Measures 

2.9. Data Analysis and Risk Calculations 

2.9.1. Association Measures 

2.9.1.1. Relative Risk Estimates  

2.9.1.2. Odds Ratio (OR)  

2.9.2. Impact Measures 

2.9.2.1. Attributable Risk (AR)  

2.9.2.2. Population Attributable Risk (PAR) 

2.10. Estimates, Data Evaluation and Calculations in SPSS 

2.10.1. Estimates  

2.10.2. Assessment of Information  

2.10.3. SPSS Calculations 

Module 3.  Pharmacovigilance and Pharmacoeconomics 

3.1. Safety of Veterinary Medications in Animals  

3.1.1. Design and Implementation of the Pharmacovigilance System in a Clinical Trial 

3.1.2. Development and Updating of Standard Operating Procedures (SOPs)   

3.1.3. Initial Assessment  

3.2. Personal Safety   

3.2.1. Active Substance Toxicity Data  

3.2.2. Toxicity Studies  

3.2.3. Exposure Scenarios   

3.2.4. Risk Management  

3.3. Environmental Safety  

3.3.1. Active Substance Metabolites  

3.3.2. Biodegradation  

3.3.3. Recommended Studies  

3.4. Adverse Event Management  

3.4.1. Registration (Adverse Reactions, Side Effects and Expected Unfavorable Reactions) 

3.4.2. Control Methods   

3.4.3. Adverse Events Communication. 

3.5. Summary of Product Characteristics (SPC) for Veterinary Medication

3.6. Elaboration and Maintenance of the Pharmacovigilance System Description  

3.6.1. Detailed Description of the Pharmacovigilance System 

3.6.2. Qualified Person Responsible for Pharmacovigilance (QPPV)  

3.6.3. Organization  

3.6.4. Databases  

3.6.5. Quality Management Systems  

3.7. Periodic Safety Reports (PSRs) 

3.7.1. VedDRA Code (Veterinary Dictionary for Regulatory Activities)  

3.8. Risk-Benefit Analysis     

3.8.1. Concept and Components   

3.8.2. Quantitative Methods   

3.8.2.1. Relationship Between Benefit and Risk Impact Measures   

3.8.2.2. Incremental Benefit-Risk Ratio   

3.8.2.3. Multi-Criteria Analysis   

3.8.3. Cohort Simulation  

3.9. Crisis Management 

3.9.1. Risk Assessment  

3.9.2. Response Coordination  

3.9.3. Risk and Crisis Communication  

3.10. Pharmacoeconomics  

3.10.1. Cost-Benefit Analysis  

3.10.2. Cost-Effectiveness Analysis  

3.10.3. Cost-Utility Analysis   

3.10.4. Cost Minimization 

Enroll now and become an expert in Epidemiological Analysis in a short time and with total freedom of organization”