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- W4387490698 abstract "Lymphoblastic leukemia is the leading cause of cancer in the Mexican population under 18 years old. On a global scale, Mexico has the highest mortality rate for this age group. Despite this, the specific causes of the disease remain uncertain. It has been well- documented that there is an association between air pollution (indoor and outdoor) and exposure to pesticides, which can increase the risk of developing the disease. In Mexico, few studies have been conducted to identify the environmental risk factors, with only 10% of cases having a genetic origin. Traditionally, environmental health issues have been addressed by controlling a single pollutant or exposure. However, in today's complex environmental landscape, innovative and holistic solutions are required that address not only a single pollutant or exposure, but also the multifactorial effects of the environment and environmental change on human health, as well as the systems that guide those effects. It is also necessary to consider individual, local, national, and international factors. This work aims to present a tool designed to facilitate surveillance and tracking of diseases against risk factors in Mexico's territory. The tool aims to identify disease clusters, small area problems, potential environmental hazards, etc. and is specifically designed for health professionals to rapidly perform exploratory investigations to generate solid decision-making within health systems. This work also explains how public health decision-makers can use this application to gain insights that can drive public health actions, reduce exposure, and prevent the occurrence of disease more precisely and efficiently in cost-effective ways." @default.
- W4387490698 created "2023-10-11" @default.
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- W4387490698 date "2023-01-01" @default.
- W4387490698 modified "2023-10-13" @default.
- W4387490698 title "GIS-Web tool as surveillance system for acute lymphoblastic leukemia and environmental carcinogens for the youth Mexican population" @default.
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- W4387490698 doi "https://doi.org/10.1016/j.procs.2023.09.028" @default.
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