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Trastornos de ánimo
Capítulo E.3
Edición: Matías Irarrázaval & Andres Martin
Traducción: Fernanda Prieto Tagle, Irma Isasa
Identifying and quantifying planetary boundaries that must not be transgressed could help prevent human
activities from causing unacceptable environmental changes.
nature Vol 461|24 September 2009
Background paper 9
The Independent Panel for Pandemic Preparedness and Response
May 2021
module de la série d’évaluation des capacités des services de santé dans le contexte de la pandémie de COVID-19, 7 juillet 2021
The figures and findings reflected in the 2020 PMR represent the independent analysis of the United Nations (UN) and its humanitarian partners based on information available to them. Many of the figures provided throughout the document are estimates based on sometimes incomplete and partial data set
...
s using the methodologies for collection that were available at the time. The Government of Syria has expressed its reservations over the data sources and methodology of assessments used to inform the 2020 Humanitarian Needs Overview (HNO) as well as on a number of HNO findings reflected in the 2020 HRP. This applies throughout the document.
more
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
...
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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