Active Research Consortium · Est. 2024

Advancing Health
Through Innovation.

The Consortium for Health and Innovative Research bridges biological complexity and clinical action — transforming global health data into precise, life-saving research innovations.

Explore Research View Publications
12+
Active Researchers
8
Research Projects
4
Publications
3
Institutions

Who We Are

About the Consortium

Our Mission

To advance public health through rigorous, innovative, and ethically grounded research that generates actionable evidence for policymakers, healthcare providers, and communities.

We are committed to interdisciplinary collaboration, scientific transparency, and equitable access to research findings across all communities.

Interdisciplinary Collaboration

Bringing together epidemiologists, biostatisticians, clinicians, and social scientists to address complex health challenges.

Public Health Innovation

Developing novel frameworks and methodologies that redefine how health data is collected, analyzed, and translated into practice.

Evidence-Based Practice

Ensuring every research output meets the highest standards of scientific rigour and reproducibility.

"

A world where every health decision is informed by the best available evidence — and where the benefits of research reach those who need them most.

Equity
in Access
Rigor
in Method
Impact
in Practice
🧬

Epidemiology & Disease Surveillance

Tracking disease patterns, identifying risk factors, and monitoring health trends across populations.

📊

Biostatistics & Data Science

Applying advanced statistical models and machine learning to extract insights from complex health datasets.

🏥

Health Systems Research

Evaluating healthcare delivery systems, policies, and interventions to improve health outcomes.

🌍

Global & Community Health

Addressing health disparities and promoting wellbeing in under-resourced communities worldwide.

🔬

Clinical & Translational Research

Bridging laboratory discoveries and clinical applications to accelerate therapeutic development.

📋

Health Policy & Advocacy

Generating evidence to inform health policy decisions and drive systemic public health improvements.

Scientific Approach

Data & Methodology

📈

Quantitative Research

  • Statistical modelling
  • Survey design & analysis
  • Randomised controlled trials
  • Epidemiological studies
🗣️

Qualitative Research

  • In-depth interviews
  • Focus group discussions
  • Ethnographic research
  • Narrative analysis
🔀

Mixed Methods Research

  • Sequential designs
  • Concurrent triangulation
  • Explanatory sequential
  • Exploratory sequential
🔭

Field Data Collection

Systematic protocols for primary data gathering in diverse field settings

📐

Statistical Analysis

R, SPSS, STATA, and Python-based analytical pipelines

⚖️

Research Ethics

IRB-compliant protocols, informed consent, and data privacy frameworks

♻️

Reproducibility

Open data practices, version control, and pre-registration of trials

The People Behind the Science

Research Team

An interdisciplinary team committed to advancing public health through rigorous, innovative science.

Mr. Joseph M. Lamin — Principal Investigator I
P.I. I

Mr. Joseph M. Lamin

Principal Investigator I

Epidemiology & Public Health

CHIR Consortium
Mr. Emmanuel Finoh — Principal Investigator II
P.I. II

Mr. Emmanuel Finoh

Principal Investigator II

Health Policy & Systems

CHIR Consortium
Mr. Philip Amara Saffa — Principal Investigator III
P.I. III

Mr. Philip Amara Saffa

Principal Investigator III

Biostatistics & Data Science

CHIR Consortium
Mr. Pieh Bendu — Principal Investigator IV
P.I. IV

Mr. Pieh Bendu

Principal Investigator IV

Community & Global Health

CHIR Consortium

+ Additional team members will be listed upon joining the consortium.

Knowledge Base

Research Resources

Access research protocols, data tools, templates, and field manuals curated by the consortium.

📋 PDF

Research Protocols

Standardised protocols for conducting health research studies.

📝 DOCX

Survey Instruments

Validated questionnaires and data collection tools.

📊 XLSX

Statistical Templates

Ready-to-use templates for SPSS, R, and STATA analyses.

⚖️ PDF

Ethical Guidelines

IRB templates, consent forms, and ethics frameworks.

🗺️ PDF

Field Manuals

Step-by-step guides for field data collection and management.

🗄️ CSV

Datasets

Anonymised research datasets for collaborative analysis.

Scholarly Output

Publications

Epidemiological Patterns of Communicable Diseases in West African Communities: A Cross-Sectional Analysis

Published

Lamin JM, Finoh E, Saffa PA, Bendu P

Journal of Public Health Research · 2024 · DOI: 10.xxxx/jphr.2024.001

This study examined the epidemiological distribution and risk determinants of communicable diseases across five West African communities, utilising structured household surveys and biomarker screening…

Mixed-Methods Assessment of Community Health Worker Effectiveness in Under-Resourced Settings

Under Review

Finoh E, Lamin JM, Bendu P

Global Health: Science and Practice · 2024

A convergent mixed-methods design was employed to evaluate community health worker programmes across three health districts. Quantitative outcomes data were triangulated with qualitative interviews, r…

Statistical Modelling of Maternal Health Outcomes: Predictors of Preventable Mortality

Published

Saffa PA, Lamin JM, Finoh E, Bendu P

BMC Pregnancy and Childbirth · 2025 · DOI: 10.xxxx/bmcpc.2025.012

Using multilevel logistic regression on a dataset of 4,200 maternal records, this study identified systemic and individual-level predictors of preventable maternal mortality. Results underscore the im…

Common Questions

Research FAQ

A research protocol begins with a clear problem statement and research objectives. It outlines the study design, target population, sampling strategy, data collection instruments, analysis plan, and ethical considerations. CHIR provides protocol templates in the Resources section.
Conducting Research
Quantitative research collects numerical data to identify patterns and test hypotheses using tools like surveys. Qualitative research explores lived experiences using interviews and focus groups. Mixed methods combine both for a comprehensive understanding.
Quantitative
Field data collection at CHIR follows standardised protocols including structured interviews, household surveys, direct observation, biomarker screening, and community mapping. Data collectors are trained and supervised to ensure quality.
Field Data
CHIR researchers primarily use R, STATA, SPSS, and Python. Software templates and training resources are available in the Resources section for consortium members.
Quantitative
Researchers join the CHIR network by creating a Researcher Portal account. After institutional email verification, members access collaborative projects, shared datasets, and can propose joint research initiatives.
Conducting Research
All CHIR publications undergo internal peer review before external submission. We follow ICMJE authorship standards and reporting guidelines (CONSORT, STROBE, COREQ) appropriate to each study design.
Publications
CHIR adheres to the Declaration of Helsinki, Belmont Report principles, and national research ethics regulations. All studies require IRB approval, informed consent, and data management plans protecting participant confidentiality.
Ethics
Qualitative rigour at CHIR is ensured through member checking, inter-rater reliability in coding, thick description, reflexivity journals, and data triangulation. We use NVivo and Atlas.ti for systematic analysis.
Qualitative

Get Involved

Join the Research Network

Connect with CHIR's interdisciplinary team, access research resources, and contribute to evidence that shapes public health policy.

Contact the Consortium