Monday Calls 2025 – Certificate Verification

List of Certified Participants

Certificate IDParticipant NameYearIssue Date
CRENC-IeDEA-2025-001Clenise Ngwa202529 Dec 2025
CRENC-IeDEA-2025-002Martial Lantche Wandji202529 Dec 2025
CRENC-IeDEA-2025-003Peter Ebasone202529 Dec 2025
CRENC-IeDEA-2025-004Gabriel Tchatchouang Mabou202529 Dec 2025
CRENC-IeDEA-2025-005Jodel Fogoum Nzongang202529 Dec 2025
CRENC-IeDEA-2025-006Chiamo Seraphine Njuntosp202529 Dec 2025
CRENC-IeDEA-2025-007Gertrude Mary Rithwaza202529 Dec 2025
CRENC-IeDEA-2025-008Franklin Cheh202529 Dec 2025
CRENC-IeDEA-2025-009Jean Paul Mivumbi202529 Dec 2025
CRENC-IeDEA-2025-010Sidonie Anyangwa202529 Dec 2025
CRENC-IeDEA-2025-011Wendin Gillian Mbuh202529 Dec 2025
CRENC-IeDEA-2025-012Mary Chiara Tendong202529 Dec 2025
CRENC-IeDEA-2025-013Raissa Manemik Tadonlekeu202529 Dec 2025
CRENC-IeDEA-2025-014Cheko Dorcas202529 Dec 2025
CRENC-IeDEA-2025-015Antoinette Tendoh202529 Dec 2025
CRENC-IeDEA-2025-016Guénolé Vincelas DEFFO NJINGAMBOU202529 Dec 2025
CRENC-IeDEA-2025-017Lela Mukaruzima202529 Dec 2025
CRENC-IeDEA-2025-018Azarie Masengesho202529 Dec 2025
CRENC-IeDEA-2025-019Nasah Lainis Judith202529 Dec 2025
CRENC-IeDEA-2025-020Tayong Vanessa Enjema202529 Dec 2025
CRENC-IeDEA-2025-021Emmanuel Gwan202529 Dec 2025
CRENC-IeDEA-2025-022Boli Anne202529 Dec 2025
CRENC-IeDEA-2025-023Nsangou Paul Eric202529 Dec 2025
CRENC-IeDEA-2025-024Samuel Munyentwari202529 Dec 2025
CRENC-IeDEA-2025-025Thomas Habanabakize202529 Dec 2025
CRENC-IeDEA-2025-026Julienne Nyirakurundo202529 Dec 2025
CRENC-IeDEA-2025-027Jordanne Ching202529 Dec 2025
CRENC-IeDEA-2025-028Awah Clinton202529 Dec 2025
CRENC-IeDEA-2025-029Ngu Wintson Asanga202529 Dec 2025
CRENC-IeDEA-2025-030Anne Christine Nougbo202529 Dec 2025
CRENC-IeDEA-2025-031Armelle Sarah Tsafack Tenkeu202529 Dec 2025
CRENC-IeDEA-2025-032Comfort Amah202529 Dec 2025
CRENC-IeDEA-2025-033Rogacien Kana202529 Dec 2025
CRENC-IeDEA-2025-034Vincent Kwizera202529 Dec 2025
CRENC-IeDEA-2025-035Blaise Barche202529 Dec 2025
CRENC-IeDEA-2025-036Suaibu Umaru202529 Dec 2025
CRENC-IeDEA-2025-037Nancy Bongkinyuy202529 Dec 2025
CRENC-IeDEA-2025-038Bazil Ajeh202529 Dec 2025
CRENC-IeDEA-2025-039Frida Embolo202529 Dec 2025

CRENC-IeDEA Capacity Building Program 2025 (Monday Research Training Calls 4.0)

Program Goals

1.    Empower participants with foundational and practical skills in health research methodologies.

2.    Strengthen ethical research practices and compliance with global and local guidelines.

3.    Build competence in data collection, management, and analysis for informed decision-making.

4.    Enhance scientific writing and communication skills for effective dissemination of research findings.

5.    Foster collaboration, mentorship, and leadership among early-career researchers.

6.    Equip participants to translate research evidence into actionable public health interventions.

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Target Audience

  • Students: Master’s, MD, PhD, and advanced undergraduate students conducting research or theses.
  • Early-Career Researchers: Beginners in health, medical, or public health research.
  • Healthcare Professionals: Clinicians and allied health professionals integrating research into practice.
  • Interdisciplinary Professionals: Individuals from diverse fields entering health research.

Tutors

  • Peer-to-Peer Model: Presentations are delivered by peers with sufficient exposure, mentored by senior researchers and faculty to ensure quality and accuracy.

Program Facilitators:

Coordinators: Gabriel Mabou and Peter Ebasone

Notifications and emails: Antoinette Tendoh and Nancy

Attendance tracker: Clenise Ngwa

Expert Mentors and program supervisors:

  • Prof. Qiuhu Shi
  • Prof. Donald Hoover
  • Prof. Andre Pascal Kengne
  • Prof. Marcel Yotebieng
  • Prof. Anastase Dzudie

HOW TO ACCESS CONTENT: Go to learn.crenc.org register and follow as course.

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Module 0: General Introduction to Training Program

Learning Objectives

  1. Familiarize participants with the goals, structure, and expectations of the training program.
  2. Provide guidance on creating and delivering effective presentations to enhance participation and communication throughout the program.
 TopicsPresenterDate
0.1Opening ceremony and presentation of programMentorsJanuary 20, 2025
0.2How to make an effective presentationPeter EbasoneJanuary 20, 2025

Module 1: Research Questions, aims and hypothesis

Learning Objectives

  1. Identify the components of a research question using the PICO framework.
  2. Develop concise and clear research aims, objectives, and hypotheses.
  3. Collaborate in small groups to apply these concepts to real-world examples.

Lead: Prof. Anastase Dzudie

 TopicsPresenterDate
1.1Formulating the Research Question: PICO frameworkDr. Peter EbasoneJanuary  27, 2025
1.2How to formulate aims, objectives and hypothesisProf. Anastase DzudieFebruary 3, 2025
1.3Group work: Formulate a RQ, aims, objectives and hypothesisFacilitator: Dr. Peter EbasoneFebruary 10, 2025

Module 2: Literature review and Synthesis

Learning Objectives

  1. Conduct an effective literature search using appropriate databases and keywords.
  2. Identify research gaps through critical appraisal of existing literature.
  3. Use reference management tools to organize and cite research effectively.

Lead: Dr Peter Ebasone

 TopicsPresenterDate
2.1Conducting Literature SearchEmma Luma NgongaFebruary 17, 2025
2.2Finding and Analyzing Research Gaps: Live demonstration using PubMedDr. Peter EbasoneFebuary 24, 2025
2.3Effective Use of Reference Management Tools: Practical session on ZoteroFokeng Armand Namekong / Randolf WefuanMarch 3, 2025

Module 3: Research Ethics and Good Clinical Practice (GCP)

Learning Objectives

  1. Identify ethical principles and their application in medical research, particularly in global and African contexts.
  2. Understand the research ethics and administration landscape in Cameroon, including the National Ethics Committee’s processes.
  3. Apply informed consent principles in challenging research scenarios.

Pre-requisite: Online GCP Certification: Continued from 2024 (CITI, NIDA, TREEE & CRENC’s REGCP)

Lead: Gabriel Mabou

 TopicsPresenterDate
3.1Discussion of cases: Ethical dilemmas in medical research (Global, African and Cameroon stories).Gabriel MabouMarch 10, 2025
3.2Research Ethics and Administration Landscape in Cameroon: an overview.Gabriel MabouMarch 17, 2025
3.3Ethics Review Processes: Case of the Cameroon National Ethics CommitteeGabriel MabouMarch  24, 2025
3.4Practical Applications of Informed Consent: emphasis on informed consent in challenging scenarios.CleniseMarch 31st, 2025

Module 4: Study Designs in Medical Research

Learning Objectives

  1. Understand the principles, strengths, and limitations of observational and experimental study designs.
  2. Select an appropriate study design based on a research question and justify the choice.
  3. Develop practical skills for designing, conducting, and analyzing both quantitative and qualitative studies.
  4. Learn the fundamentals of writing systematic review and meta-analysis protocols.

Lead: Peter Ebasone

 TopicsPresenterDate
4.1Overview of Observational and Experimental study designsDr. Peter Ebasone / Prof. Anastase DzudieApril 7, 2025
4.2From research question to study design: Selecting an appropriate designDr. Peter Ebasone / Prof. Anastase DzudieApril 14, 2025
4.3Group work: Formulate a RQ, chose a study design and justify.Facilitator: Dr Peter EbasoneApril 21, 2025
4.4Writing a systematic review +/- meta-analysis protocolDr. Peter EbasoneApril 28, 2025
4.5Designing a qualitative study: step by step guideMelpsa JohneyMay 5, 2025
4.6Conducting and documenting qualitive interviews:Jordanne ChingMay 12, 2025
4.7Thematic analysisMelpsa Johney / Jordanne ChingMay 19, 2025

Module 5: Implementation Science Basics

Learning Objectives

  1. Understand the principles and significance of implementation science in bridging research and practice.
  2. Explore key frameworks and models used in implementation science.
  3. Learn to design implementation studies to address real-world health challenges.
  4. Apply implementation science concepts to a group project.

Lead: Jordanne Ching

 TopicsPresenterDate
5.1Overview of Implementation ScienceJordanne ChingMay 26, 2025
5.2Frameworks and Models in Implementation ScienceFrida Embolo / Bazil AjehJune 2, 2025
5.3Designing Implementation ResearchFrida Embolo / Jordanne ChingJune 9, 2025
5.4Group Work: Applying Implementation Science ConceptsFacilitator: Jordanne ChingJune 16, 2025

Module 6: Scientific writing: Part I

Learning Objectives

1.     Master the principles of effective writing for clarity, conciseness, and coherence in scientific communication.

2.     Develop skills to craft well-structured sentences and paragraphs with logical flow.

3.     Organize and streamline the scientific writing process efficiently.

4.     Understand how to write a research concept note, using the CA-IeDEA research as a case study.

5.     Recognize and avoid plagiarism and practice proper citation in health research.

Lead: Dr. Peter Ebasone

 TopicsPresenterDate
6.1Principles of effective writingSarah Tsafack / Kelly NguifuJune 23, 2025
6.2Crafting better sentences and paragraphsDr Peter EbasoneJune 30, 2025
6.3Organization; and streamlining the writing processDr Peter EbasoneJuly 7, 2025
6.4Writing a research concept: case of CA-IeDEA research conceptsDr Peter EbasoneJuly 14, 2025
6.5a. Plagiarism in Health ResearchAntoinette TendohJuly 21, 2025
 b. Proper Citation in Health ResearchDr Deffo GuenoleJuly 21, 2025

Module 7: Introduction to Bias, Confounding, and Missing Data

Learning Objectives

1.     Introduce the concepts of bias and confounding in epidemiological studies and their impact on research validity.

2.     Develop foundational skills to identify and account for confounding in study design and analysis.

3.     Understand basic principles of effect size and effect modification.

4.     Learn introductory methods to handle missing data in health research.

Lead: Dr Blaise Barche

 TopicsPresenterDate
7.1Bias and ConfoundingDr. Blaise BarcheJuly 28, 2025
7.2Case study: selecting and controlling for confounders; an exampleDr. Blaise BarcheAugust 4, 2025
7.3Effect size and effect modificationMerveille FoalengAugust 11, 2025
7.4Effect Modification Assessment: Hands-on example using stratified analysis in SPSS, STATA or R.Dr. Blaise BarcheAugust 18, 2025
7.5Handling Missing Data: Demonstration of complete case analysis versus multiple imputation techniques.Dr. Peter EbasoneAugust 25, 2025

MODULE 8: Introduction to Data Analysis and Interpretation

Learning Objectives

  1. Understand and apply key concepts of descriptive statistics.
  2. Learn to select the appropriate descriptive statistics for various data types and contexts.
  3. Explore the principles of causality and their application in epidemiological research.
  4. Gain practical skills in logistic regression, including analysis and interpretation.
  5. Develop and refine a data-analysis plan to guide research projects.

Lead: Dr Barche Blaise

 TopicsPresenterDate
8.1Descriptive statisticsDr. Peter EbasoneSeptember 1, 2025
8.2Chosing the appropraite descriptive statistics with examples from published literatureRandolf Wefuan / Keneth EnweremSeptember 8, 2025
8.3Causality: principles and practiceKeneth EnweremSeptember 15, 2025
8.4Practical Logistic Regression: Step-by-step walkthrough of analysis and interpretationRandolf Wefuan / Keneth EnweremSeptember 22, 2025
8.5Developing a data-analysis planDr. SuaibuSeptember 29, 2025
8.6Review of assignmentsFacilitator: Dr Barche; ALL INVOLVEDOctober 6, 2025

MODULE 9: Scientific Writing: Part II

Learning Objectives

  1. Develop skills to write a compelling introduction that sets the stage for the research.
  2. Master the art of writing clear and precise methods sections for reproducibility.
  3. Learn techniques for presenting results effectively, using tables, figures, and text.
  4. Craft strong discussion and conclusion sections that contextualize findings.
  5. Write an effective abstract that captures the essence of the research.
  6. Engage with experts to clarify doubts and refine writing skills through a moderated Q&A session.

Lead: Dr. Peter Ebasone

 TopicsPresenterDate
9.1Crafting a Compelling IntroductionNancy BongkiynuyOctober 13, 2025
9.2Writing a Clear and Concise Methods Section:Nancy BongkiynuyOctober 20, 2025
9.3Presenting Results EffectivelyGabriel MabouOctober  27, 2025
9.4Writing a Strong Discussion and ConclusionDr. Deffo GuenoleNovember 3, 2025
9.5Crafting an Effective AbstractGabriel MabouNovember 10, 2025
9.6Discussion: moderated Q&A with the expertsFacilitator: Nancy BongkiynuyNovember 17, 2025

MODULE 10: Data Collection and Management

Learning Objectives

  1. Understand various quantitative data collection methods used in health research.
  2. Learn to design and implement online health and medical-related surveys.
  3. Familiarize with tools for effective data collection and management.
  4. Recognize and apply ethical considerations in data management.

Lead: Lionel Ngamani

 TopicsPresenterDate
10.1Quantitative data collection methods in health researchAntoinette TendohNovember 24, 2025
10.2Designing online health and medical related surveysDr Suaibu / Dr. Peter EbasoneDecember 1, 2025
10.3Data collection and management toolsClenise Ngwa / Antoinette TendohDecember 8, 2025
10.4Ethical considerations in data managementGabriel Mabou / Dr Deffo GuenoleDecember 15, 2025