Special Issues are curated collections of scholarly articles dedicated to emerging themes, pressing challenges, or innovative topics in health sciences, public health, and interdisciplinary research. They provide a platform for academics, practitioners, and policymakers to engage in focused dialogue, exchange diverse perspectives, and propose evidence-based solutions on issues of global and regional significance.

At IJHSPHIS, Special Issues are designed to:

Highlight cutting-edge research and foster innovation in specific thematic areas.

Facilitate interdisciplinary collaboration, connecting scholars across health sciences, social sciences, technology, policy, and environmental studies.

Strengthen Africa’s scholarly voice while engaging with global debates and knowledge production.

Inform policy and practice by bridging the gap between research findings and real-world application.

Editorial Process for Special Issues

Proposal Submission: Guest editors or contributors may submit proposals outlining the theme, objectives, and relevance.

Peer Review: All submitted manuscripts undergo rigorous double-blind peer review to ensure quality and integrity.

Publication: Accepted articles are published collectively as a Special Issue, with global open access and DOI assignment for indexing and visibility.

Special Issues are an opportunity for the journal to advance scholarship around contemporary challenges and position itself as a thought leader in the global academic community.

Proposed Special Issue Topics

Global Health Security and Emerging Infectious Diseases in Africa

Exploring preparedness, response mechanisms, and interdisciplinary strategies to tackle pandemics and epidemics, with a focus on lessons from COVID-19 and Ebola.

Climate Change, Environment, and Public Health

Examining the intersection of environmental change, urbanization, food systems, and health outcomes, with emphasis on sustainable development and health equity.

Artificial Intelligence, Data Science, and Health Systems Innovation

Investigating how digital technologies, big data, and AI can transform healthcare delivery, disease surveillance, and public health decision-making in resource-limited contexts.