HATI-Oceania An Ecological Homeostasis Framework for Reducing Malaria Risk in Pacific Island Landscapes
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2025
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| _version_ | 1866901782458793984 |
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| author | Smith, John Richard HATI |
| author_facet | Smith, John Richard HATI |
| contents | <p>Malaria persistence in parts of Oceania continues despite decades of biomedical intervention, indicating a systemic mismatch between conventional control strategies and island ecologies. This paper presents HATI-Oceania, a conceptual framework for reducing malaria transmission risk through ecological homeostasis, landscape design, and Indigenous knowledge–aligned decision support, rather than pathogen-centric or chemical approaches.</p> <p>The framework focuses on Melanesian island systems where the dominant vector (<em>Anopheles farauti</em>) has adapted to bite outdoors during early evening social hours, rendering indoor-focused interventions insufficient. HATI-Oceania reframes malaria as an ecological signal of disrupted airflow, water stagnation, vegetation imbalance, and cultural–environmental misalignment.</p> <p>The model integrates three pillars: (1) Botanical architecture, using native and culturally valued plants to create wind corridors, scent masking, and spatial repellence; (2) Biological restoration, restoring native larval predators and water flow to suppress vector breeding without chemicals or genetic modification; and (3) Sovereign AI decision support, where a collaborative, offline-first AI system assists communities by modelling wind, rainfall, and landscape dynamics while remaining subordinate to local governance and Traditional Ecological Knowledge (TEK).</p> <p>Crucially, HATI-Oceania does not propose medical treatment, eradication, or public health mandates. It is an ecological design and governance framework intended to reduce environmental suitability for vector transmission while delivering co-benefits including soil stability, climate resilience, cultural continuity, and community autonomy.</p> <p>This paper is presented as an open, non-commercial framework to invite interdisciplinary collaboration across ecology, Indigenous governance, climate adaptation, and ethical AI design.</p> <p><strong>Keywords: </strong><em>Ecological homeostasis, vector ecology, Indigenous data sovereignty, Traditional Ecological Knowledge, landscape-based disease prevention, climate adaptation, wind-based vector suppression, community-governed AI, island ecology, non-chemical vector management</em></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18103009 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | HATI-Oceania An Ecological Homeostasis Framework for Reducing Malaria Risk in Pacific Island Landscapes Smith, John Richard HATI Ecological homeostasis, vector ecology, Indigenous data sovereignty, Traditional Ecological Knowledge, landscape-based disease prevention, climate adaptation, wind-based vector suppression, community-governed AI, island ecology, non-chemical vector management <p>Malaria persistence in parts of Oceania continues despite decades of biomedical intervention, indicating a systemic mismatch between conventional control strategies and island ecologies. This paper presents HATI-Oceania, a conceptual framework for reducing malaria transmission risk through ecological homeostasis, landscape design, and Indigenous knowledge–aligned decision support, rather than pathogen-centric or chemical approaches.</p> <p>The framework focuses on Melanesian island systems where the dominant vector (<em>Anopheles farauti</em>) has adapted to bite outdoors during early evening social hours, rendering indoor-focused interventions insufficient. HATI-Oceania reframes malaria as an ecological signal of disrupted airflow, water stagnation, vegetation imbalance, and cultural–environmental misalignment.</p> <p>The model integrates three pillars: (1) Botanical architecture, using native and culturally valued plants to create wind corridors, scent masking, and spatial repellence; (2) Biological restoration, restoring native larval predators and water flow to suppress vector breeding without chemicals or genetic modification; and (3) Sovereign AI decision support, where a collaborative, offline-first AI system assists communities by modelling wind, rainfall, and landscape dynamics while remaining subordinate to local governance and Traditional Ecological Knowledge (TEK).</p> <p>Crucially, HATI-Oceania does not propose medical treatment, eradication, or public health mandates. It is an ecological design and governance framework intended to reduce environmental suitability for vector transmission while delivering co-benefits including soil stability, climate resilience, cultural continuity, and community autonomy.</p> <p>This paper is presented as an open, non-commercial framework to invite interdisciplinary collaboration across ecology, Indigenous governance, climate adaptation, and ethical AI design.</p> <p><strong>Keywords: </strong><em>Ecological homeostasis, vector ecology, Indigenous data sovereignty, Traditional Ecological Knowledge, landscape-based disease prevention, climate adaptation, wind-based vector suppression, community-governed AI, island ecology, non-chemical vector management</em></p> |
| title | HATI-Oceania An Ecological Homeostasis Framework for Reducing Malaria Risk in Pacific Island Landscapes |
| topic | Ecological homeostasis, vector ecology, Indigenous data sovereignty, Traditional Ecological Knowledge, landscape-based disease prevention, climate adaptation, wind-based vector suppression, community-governed AI, island ecology, non-chemical vector management |
| url | https://doi.org/10.5281/zenodo.18103009 |