Mapping Global Vulnerability to Dengue using the Water Associated Disease Index
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Notice bibliographique
Résumé
Water-associated diseases, such as cholera, dengue, and schistosomiasis, threaten the health and wellbeing of billions worldwide. They are most prevalent in tropical and sub-tropical regions, and are spread through contact with contaminated water or exposure to disease-carrying vectors (such as mosquitoes) that depend upon water to survive. Exacerbated by poor water and waste management, rapid urbanization, high population density, and changing climate conditions, water associated diseases are of increasing concern in a rapidly changing and increasingly globalized world. With limited resources to treat or combat the spread of water-associated disease in many endemic regions, preventative interventions must be appropriately targeted and timed to maximize their efficacy. This requires accurate identification of regions most vulnerable to disease, and the timely delivery of interventions to prevent, mitigate, and manage disease in these regions. In this report, we apply the Water Associated Disease Index (WADI) to calculate and visually communicate vulnerability to dengue on a global scale. While a number of tools exist to measure vulnerability to disease, most focus on when and where environmental conditions are optimal for an outbreak to occur, with little or no consideration of the role social determinants play in shaping vulnerability. As with any disease, we believe that vulnerability is shaped by a diverse range of environmental and social conditions. With this in mind, the WADI was developed to assess vulnerability by integrating disease specific measures of environmental exposure (i.e., temperature, precipitation, land cover etc.) with disease-specific measures of social susceptibility (i.e., life expectancy, educational attainment, access to healthcare etc.) to provide a holistic picture of vulnerability to disease. The WADI is a practical disease-specific tool for assessing vulnerability at a range of different spatial and temporal scales using publicly available data. It provides a new way of conceptualizing and communicating vulnerability to disease and, in this instance, demonstrates clear patterns of dengue vulnerability and how these may change over time. It is our hope that the WADI will be used to inform mid- to long-term allocation of resources to reduce or eradicate the burden of water associated disease.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle