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Data presentation is the basis for describing data and generating hypotheses for further testing. It consists of a number of methods for summarising data in order to support the identification of patterns. Data can be summarised in a number of forms, including tables or graphical representations s
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uch as graphs or maps. Effective data presentation requires an understanding of the principles introduced in this guide.
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HIV/AIDS Hope Initiative
The compendium compiles practical case studies on the use of Geospatial Artificial Intelligence (GeoAI) to enhance disaster risk reduction and emergency response across diverse geographic and institutional contexts.
The compendium features selected case studies submitted by twenty-seven Regional Su
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pport Offices (RSOs) working across Asia, Africa, Latin America, and Europe. These examples highlight how GeoAI, is being used to forecast floods, map wildfire risk, assess landslide susceptibility, monitor droughts, and support emergency response. Each project demonstrates how cloud-based platforms and machine learning tools help governments act faster and more precisely when disaster strike.
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Trastornos de ánimo
Capítulo E.3
Edición: Matías Irarrázaval & Andres Martin
Traducción: Fernanda Prieto Tagle, Irma Isasa
English Analysis on World about Climate Change and Environment, Recovery and Reconstruction and Epidemic; published on 26 Oct 2021 by UNEP
Research Report
In a retrospective review of hospital records of 40 human monkeypox cases from Nigeria, the majority developed fever and self-limiting vesiculopustular skin eruptions. Five deaths
were reported. Compared to human immunodeficiency virus (HIV)–negative cases, HIV type 1–coinfected cases had more
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prolonged illness, larger lesions, and higher rates of both secondary bacterial skin infections and genital ulcers.
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As climate impacts intensify across the globe, nations must dramatically increase funding and implementation of actions designed to help vulnerable nations and communities adapt to the climate storm
Published: November 24, 2020 https://doi.org/10.1371/journal.pbio.3000938
Climate change is expected to have complex effects on infectious diseases, causing some to increase, others to decrease, and many to shift their distributions. There have been several important advances in understanding the
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role of climate and climate change on wildlife and human infectious disease dynamics over the past several years. This essay examines 3 major areas of advancement, which include improvements to mechanistic disease models, investigations into the importance of climate variability to disease dynamics, and understanding the consequences of thermal mismatches between host and parasites. Applying the new information derived from these advances to climate–disease models and addressing the pressing knowledge gaps that we identify should improve the capacity to predict how climate change will affect disease risk for both wildlife and humans.
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