Monthly Archives

abril 2020

Research detects genetic material of the SARS-CoV-2 coronavirus in wastewater in the Valencia area prior to February 24

By | Biomedicine and Health, COVID-19 | No Comments

A study by the University of Valencia, the Spanish National Research Council (CSIC) and the Public Entity of Sanitation of Waters of the Valencian Community has detected genetic material of the SARS-CoV-2 coronavirus in untreated wastewater from the Valencia metropolitan area prior to February 24, the date on which the first Valencian case of COVID-19 was known. Read More

Researchers analyse how the fungus that causes verticillium wilt attacks olive trees

By | Natural Sciences | No Comments

Researchers from the Universities of Valencia and Cordoba, as well as from the Institute for Sustainable Agriculture of the Spanish National Research Council (CSIC) have studied the fungus that causes verticilosis, a disease that kills millions of olive trees. Through the observation of the olive root microbiome, they conclude that verticillium wilt is driven by a wide community of microorganisms that unite to attack plants, making researchers rethink how to cope with it. The results have been published in the prestigious journal BMC Plant Biology. Read More

The CSIC promotes four projects by Valencian scientists to address the economic and social impact of COVID 19

By | COVID-19, Law and Social Sciences | No Comments

The CSIC’s Global Health Interdisciplinary Thematic Platform (PTI), in which more than 150 research groups collaborate and which is supported by the MAPFRE Foundation, has considered thirteen project proposals to address the economic and social impact of COVID-19 as priorities in its second resolution, four of which are from research centres in the Valencian Community, and has proposed them for pre-financing by the CSIC using its own available funds. Read More

DeteCCovid provided to health authorities

By | COVID-19, Technology | No Comments

Researchers develop a system based on smartphone-tracking to establish the risk of COVID-19 infection.

Researchers from the Universitat Politècnica de València (UPV), belonging to the VRAIN Institute, have developed DeteCCovid, a computer tool based on an algorithm that, by anonymously tracking smartphones, will help to detect people who have been close to a user infected with COVID-19. In addition, it will classify the risk of infection (very high, high, etc.) according to the distance and the time of contact. It is a development, at laboratory scale, that the researchers have provided health authorities with to manage the pandemic.

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