Integrated Public Health Approaches to Biomonitoring and Control of Emerging Parasitic Infections in Tropical Regions
Keywords:
Parasitic diseases; Disease monitoring; Tropical infections; Community health; Insect vector management; Climate resilienceAbstract
The problem of parasitic infections is one of the longest-running public health issues of tropical areas, with more than 1.5 billion individuals at risk across the world and very vulnerable groups being disproportionately affected by the problem. Despite decades of vertical disease control programs, there are still several new and re-emerging parasitic diseases that pose health security issues due to the intricate links between climate change, urbanization and population displacement, as well as compromised health systems. The conventional methods of surveillance and control, which are usually disease and department-specific and fragmented, have not been effective in responding to the complexity of these infections. This is a review of evidence on integrated public health approaches that involve the combination of both biomonitoring and multisectoral control interventions in tropical settings. We analyzed peer review material and programmatic reports published between 2010 and 2025 and concentrated on the innovations in the field of molecular diagnostics, digital surveillance systems, community-based surveillance systems, and systemic approaches to managing the vectors. We find that there is an overarching similarity in successful programs that include high intersectoral collaboration, community ownership, adaptive management systems, and exploitation of emerging technologies. The environmental DNA surveillance and molecular xenomonitoring have improved the early detection, and the mobile health platform has revolutionized real-time reporting in resource-constrained environments. Combined strategies using mass drug administration with water, sanitation and hygiene measures have synergistic effects with up to 65 percent larger disease prevalence reductions than individual interventions. Nevertheless, there are still substantial implementation obstacles, such as poor laboratory capacity, dysfunctional health information systems and lack of sustainable financing systems. This review presents a broad framework on how to enhance integrated parasitic disease control programs and gives key research priorities on the improvement of biomonitoring science from a global health security perspective.
Downloads
Published
Issue
Section
License
Authors retain copyright and grant the journal the right of first publication. Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), permitting unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite
Similar Articles
- Oyedeji Olugbenga James, Mojeed Olawale, INNOVATIONS IN CHRONIC DISEASE MANAGEMENT USING DIGITAL HEALTH TECHNOLOGIES , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Dymphna Ghasarah, Adebusola Akomolafe, Jacinta Ogbemudia, Christianah Ayodele, The ‘One Health’ Synthesis: Climate Change and Infectious Disease Preparedness , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Franklin Akwasi Adjei, A Concise Review on Identifying Obesity Early: Leveraging AI and ML Targeted Advantage , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Faith D. Olasunkanmi, Chidinma M. Dike, Ja’afaru Umma Hani, Taiwo Suliyat Mofoyeke, Esther Oshaji, Ijeoma Joy Nwajiaku, Oluwakemi Adesola, Adebayo Adegbenro, AI and ML Assessment of Performance-Based Financing Models in Health Care: A Review , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
- Jenny James Okon, Leveraging Artificial Intelligence in Sports and Business Management for Enhanced Health and Performance Outcomes , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
- Mu’awiya Baba Aminu, Khaurat Kadiri, Ayobami Oni, Rabi Elabor, Machine Learning–Driven Remote Sensing Framework for Predicting Groundwater Pollution under Climate Change Scenarios , Applied Science, Computing, and Energy: Vol. 4 No. 2 (2026): Volume 4 Issue 2
- Samira Sanni, A Review on Sustainable Procurement in the Age of AI: Leveraging Intelligent Systems to Advance U.S. Climate and Economic Resilience , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Uzo Anekwe, Determination of Acoustic Sound Level in Swali Market Environment , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Ukeme Nsikak Essien, Bright Aiyehirue Agwogie, Quantitative Assessment of Carbon Sequestration Potential and Biomass Accumulation in Selected Forest Ecosystems of Southern Nigeria , Applied Science, Computing, and Energy: Vol. 4 No. 3 (2026): Volume 4, Issue 3
- Emole Eke Chukwu, Cynthia Cynthia Ogukwe, Evaluation of Polycyclic Aromatic Hydrocarbons as Emerging Pollutants in a Pharmaceutical Company at Eziama Aba, Nigeria , Applied Science, Computing, and Energy: Vol. 4 No. 2 (2026): Volume 4 Issue 2
You may also start an advanced similarity search for this article.