African conversations

Insights and recommendations of African stakeholders on biocontrol technologies for malaria control

Research Process

Data Collection & Analysis

Our comprehensive data collection process combines multiple research methods to gather rich insights from diverse stakeholders across Africa regarding gene drive technologies for malaria control.

500+
Survey Responses

Across 6 countries

50+
In-depth Interviews

With key stakeholders

Data Collection

Researchers collecting data during stakeholder engagement

Methodology

Our Data Collection Approach

A multi-faceted approach combining qualitative and quantitative methods across different stakeholder groups to ensure comprehensive insights

Surveys & Questionnaires

Structured surveys were distributed to diverse stakeholder groups across multiple African countries to gather quantitative data on:

  • Awareness and understanding

    Knowledge and familiarity with gene drive technologies and their applications

  • Benefits and concerns

    Perceptions of potential advantages and risks regarding malaria control approaches

  • Regulatory perspectives

    Attitudes toward regulation and governance of emerging biotechnologies

  • Engagement preferences

    Preferences for stakeholder engagement and public consultation methods

In-depth Interviews

Semi-structured interviews with key stakeholders provided rich qualitative insights on complex aspects of gene drive research:

  • Decision-making processes

    Exploration of frameworks for evaluating and implementing emerging biotechnology

  • Local context considerations

    Regional and community-specific factors influencing malaria control approaches

  • Ethical perspectives

    Cultural, ethical, and societal viewpoints on genetic interventions for disease control

  • Governance recommendations

    Suggestions for inclusive and effective regulatory frameworks and oversight

Focus Group Discussions

Group discussions facilitated important dialogue among community members and stakeholder groups:

  • Malaria impact assessment

    Community-level experiences with malaria burden and existing control efforts

  • Collective viewpoints

    Group perspectives on novel interventions and technological approaches

  • Cultural dynamics

    Social and cultural factors influencing technology acceptance and adoption

  • Community priorities

    Identification of key concerns, expectations, and implementation preferences

Field Observations

Direct observations in malaria-endemic regions provided contextual understanding:

  • Current control practices

    Assessment of existing malaria prevention and treatment approaches at community level

  • Environmental context

    Ecological and environmental factors relevant to mosquito control strategies

  • Health infrastructure

    Evaluation of local healthcare systems, facilities, and implementation capacity

  • Social structures

    Community dynamics, leadership patterns, and decision-making processes

Analytics

Data Analysis Methods

Rigorous analytical approaches to generate meaningful insights from our comprehensive data collection

Statistical Analysis

Quantitative survey data analyzed using descriptive and inferential statistics to identify trends, correlations, and significant differences across stakeholder groups.

SPSS & R

Thematic Coding

Qualitative data coded to identify recurring themes, patterns, and conceptual frameworks emerging from interviews and focus group discussions.

NVivo Software

Content Analysis

Systematic examination of interview transcripts, policy documents, and field notes to evaluate contexts, meanings, and implications of stakeholder perspectives.

200+ Documents

Data Triangulation

Cross-verification of findings across multiple data sources and methods to ensure comprehensiveness, validity and reliability of research conclusions.

Multi-method

Explore Our Research Methodology

Learn more about our comprehensive approach to researching gene drive technologies for malaria control