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Título del libro: An Agent-Based Model Of Food-Borne Diseases Under Climate Change Scenarios In Mexico City The Risk Of Street-Food In A Warming City

Autores UNAM:
BERNARDO ADOLFO BASTIEN OLVERA; CARLOS GAY Y GARCIA;
Autores externos:

Idioma:
Inglés
Año de publicación:
2017
Palabras clave:

Autonomous agents; Climate models; Computational methods; Decision making; Food microbiology; Food safety; Microorganisms; Public health; Risk perception; Agent-based model; Climate change scenarios; Food borne disease; Resilience; Surface temperatures; Tunable parameter; Urban Mitigation and Adaptation; Urban Planning Strategies; Climate change


Resumen:

Food is a conventional vehicle for pathogens to reach and infect new hosts. Distinctively, street food is a major source of food-borne diseases and climate change effects will intensify this by increasing the mean surface temperature and thus, the microorganisms growth rate. Through this research we present a preliminary agentbased model that simulates at various levels the dynamic of street-food consumers and food-borne disease under climate change scenarios, using tunable parameters such as hygiene level, microorganisms growth rate and number of consumers. The results show that the model has the potential to be a useful tool for optimizing decision-making and urban planning strategies related to health and climate change. © Copyright 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.


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