Community-Level infectious disease education and adherence model for resource-limited settings

Infectious diseases remain a leading cause of morbidity and mortality in resource-limited settings, exacerbated by inadequate health literacy, poor adherence to preventive measures, and constrained healthcare infrastructure. This paper proposes the Community-Level Infectious Disease Education and Adherence Model (CIDEAM), an integrated, culturally sensitive framework designed to enhance disease prevention, treatment adherence, and health outcomes in underserved populations. The model emphasizes participatory education strategies, community health worker engagement, and context-appropriate communication channels to bridge knowledge gaps and foster behavioral change. Drawing from evidence-based interventions and socio-behavioral theories, CIDEAM incorporates peer-led workshops, visual and audio educational tools in local languages, and interactive community dialogues to improve understanding of disease transmission, symptoms, treatment protocols, and prevention methods. It also integrates adherence monitoring mechanisms such as mobile health (mHealth) reminders, household follow-up visits, and social support groups to reinforce compliance with medical regimens, particularly for chronic and high-burden infections like tuberculosis, HIV/AIDS, and malaria. The model accounts for socio-economic determinants of health by incorporating strategies to address stigma, misinformation, and barriers to accessing healthcare services, thereby promoting trust and collaboration between communities and healthcare providers. Implementation in resource-limited contexts is supported by capacity-building initiatives for community health workers, partnerships with local leaders, and the leveraging of low-cost digital technologies. Pilot studies suggest that CIDEAM can significantly improve treatment adherence rates, reduce infection incidence, and strengthen community resilience against outbreaks. The model’s adaptability ensures relevance across diverse cultural and epidemiological contexts, making it a scalable and sustainable solution for global health initiatives targeting infectious disease control in marginalized populations. By integrating education, adherence support, and socio-cultural considerations, CIDEAM offers a pathway to reducing infectious disease burdens while empowering communities to take ownership of their health outcomes. Keywords: Community Health Education, Infectious Disease Prevention, Treatment Adherence, Resource-Limited Settings, Health Literacy, Mhealth, Community Engagement, Behavioral Change, Disease Control, Global Health.

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Publication Details

Journal
International Journal of Applied Research in Social Sciences
Published
2025-09-02
DOI
https://doi.org/10.51594/ijarss.v7i9.2007
Citations
5
Primary Topic
Viral Infections and Outbreaks Research
Type
article
Field-Weighted Citation Impact
6.98
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article

Community-Level infectious disease education and adherence model for resource-limited settings

Opeoluwa Oluwanifemi Akomolafe, Chinonso Gerald Udensi, Christiana Adeyemi
5 citations
International Journal of Applied Research in Social Sciences
Viral Infections and Outbreaks Research
6.98
article

Community-Level infectious disease education and adherence model for resource-limited settings

Opeoluwa Oluwanifemi Akomolafe, Chinonso Gerald Udensi, Christiana Adeyemi
article en
5 citations

Abstract

Infectious diseases remain a leading cause of morbidity and mortality in resource-limited settings, exacerbated by inadequate health literacy, poor adherence to preventive measures, and constrained healthcare infrastructure. This paper proposes the Community-Level Infectious Disease Education and Adherence Model (CIDEAM), an integrated, culturally sensitive framework designed to enhance disease prevention, treatment adherence, and health outcomes in underserved populations. The model emphasizes participatory education strategies, community health worker engagement, and context-appropriate communication channels to bridge knowledge gaps and foster behavioral change. Drawing from evidence-based interventions and socio-behavioral theories, CIDEAM incorporates peer-led workshops, visual and audio educational tools in local languages, and interactive community dialogues to improve understanding of disease transmission, symptoms, treatment protocols, and prevention methods. It also integrates adherence monitoring mechanisms such as mobile health (mHealth) reminders, household follow-up visits, and social support groups to reinforce compliance with medical regimens, particularly for chronic and high-burden infections like tuberculosis, HIV/AIDS, and malaria. The model accounts for socio-economic determinants of health by incorporating strategies to address stigma, misinformation, and barriers to accessing healthcare services, thereby promoting trust and collaboration between communities and healthcare providers. Implementation in resource-limited contexts is supported by capacity-building initiatives for community health workers, partnerships with local leaders, and the leveraging of low-cost digital technologies. Pilot studies suggest that CIDEAM can significantly improve treatment adherence rates, reduce infection incidence, and strengthen community resilience against outbreaks. The model’s adaptability ensures relevance across diverse cultural and epidemiological contexts, making it a scalable and sustainable solution for global health initiatives targeting infectious disease control in marginalized populations. By integrating education, adherence support, and socio-cultural considerations, CIDEAM offers a pathway to reducing infectious disease burdens while empowering communities to take ownership of their health outcomes. Keywords: Community Health Education, Infectious Disease Prevention, Treatment Adherence, Resource-Limited Settings, Health Literacy, Mhealth, Community Engagement, Behavioral Change, Disease Control, Global Health.

International Journal of Applied Research in Social SciencesVol. 7(9)
University of Alabama at Birmingham (US), Medical Center Hospital (US), Cancer Research UK Clinical Trials Unit (GB)
Openalex Percentile: Top 3%
Viral Infections and Outbreaks Research
6.98
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