Satellite images of packed Wuhan hospitals suggest coronavirus outbreak began earlier than thought

WorldNews Tuesday, 9 June 2020
Satellite images of packed Wuhan hospitals suggest coronavirus outbreak began earlier than thoughtCoronavirus may have broken out in the Chinese city of Wuhan much earlier than previously thought, according to a new US study looking at satellite imagery and internet searches. The Harvard Medical School research found that the number of cars parked at major Wuhan hospitals at points last autumn was much higher than the preceding year. It also found that searches from the Wuhan region for information on “cough” and “diarrhea”, known Covid-19 symptoms, on the Chinese search engine Baidu spiked around the same time. ABC News/Harvard Medical School More It has led researchers to suggest that the outbreak began much earlier than December 31, the date the Chinese government notified the...
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News video: Coronavirus first detected in August 2019? Wuhan satellite images 'proof' | Oneindia News

Coronavirus first detected in August 2019? Wuhan satellite images 'proof' | Oneindia News 03:01

Satellite images of Wuhan hospitals taken in August 2019 suggest that virus may have been detected by China last autumn; BJP leader Jyotiraditya Scindia and his mother admitted at hospital with Covid-like symptoms; Former West Indies skipper Darren Sammy alleges casual racism in Sunrisers Hyderabad,...

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Wuhan Wuhan Sub-provincial city in Hubei, People's Republic of China

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A method for fast, cheap, yet accurate testing for COVID-19 infection has been developed by a team of researchers. The method simplifies and frees the testing from expensive reaction steps, enabling upscaling of the diagnostics. This makes the method particularly attractive for places and situations with limited resources. It is equally interesting for repeated testing and for moving resources from expensive diagnostics to other parts of the care chain. The study led by researchers at the Karolinska Institutet was published in the journal Nature Communications."We started working on the issue of developing a readily available testing method as soon as we saw the developments in Asia and southern Europe, and before the situation reached crisis point in Sweden," says principal investigator Bjorn Reinius, research leader at the Department of Medical Biochemistry and Biophysics at Karolinska Institutet. "Our method was effectively finished already by the end of April, and we then made all the data freely available online."The spread of the new coronavirus at the end of 2019 in China's Wuhan region quickly escalated into a global pandemic. The relatively high transmission rate and a large number of asymptomatic infections led to a huge, worldwide need for fast, affordable, and effective diagnostic tests that could be performed in clinical as well as non-clinical settings.

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Credit: Wochit News    Duration: 00:33Published
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Recovery rate of Nepal's COVID-19 infected patients stood at around 56 percent in an early fortnight of August, while towards the end of the month, it has dipped down to 54, increasing worries and panic for health workers and government. Fatalities attributed to deadly virus crossed 100 mark in mid-August. As month marches to end, it doubled with 14 deaths on Sunday taking the number to 221. It was the month of (mid) May, the Himalayan Nation, buffered in between India and China had recorded its first fatality due to Corona Virus. Nepal recorded a single-day rise of 1221 cases with 14 more fatalities to deadly virus taking toll of infected to 38,561 while a number of recovered ones stands at 20, 822. Till Sunday, a total of 144 Corona infected patients are kept in the Intensive Care Unit whereas 17 are in ventilator throughout the nation. Though some patients underwent Plasma Therapy, 20 of them only have recovered fully till last week, the Health Ministry data showed. With the swift rise in COVID-19 cases, doctors along with other medical workers working on the frontline of the pandemic are facing increased pressure. More than 50 doctors were reported to be infected while working on the front line treating patients whose coronavirus test was not done before being admitted or brought to the hospital. Falling short of beds for COVID-19 infected patients with a decreased rate of recovery, the Government under the leadership of KP Sharma Oli has added up beds in hospitals around nation. In the month of January, Nepal was the first nation in South Asia to confirm the infection in a Wuhan returnee Nepali citizen.

Credit: ANI    Duration: 02:36Published

Coronavirus Coronavirus Subfamily of viruses in the family Coronaviridae

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Harvard Medical School Harvard Medical School Medical school in Boston, MA

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Artificial intelligence (AI) used in machine learning models can predict which patients are at highest risk for severe pain after surgery, and help determine who would most benefit from personalised pain management plans that use non-opioid alternatives, suggests new research. The research was presented at the ANESTHESIOLOGY 2020 annual meeting. Some patients experience more severe pain after surgery and need higher doses of opioids for longer periods of time, which increases their risk for opioid abuse disorder. By knowing which patients are at higher risk for severe post-surgical pain, physician anesthesiologists can create an anaesthesia plan using non-opioid alternatives - such as nerve blocks, epidurals and other medications - to more effectively address pain and reduce the need for opioids. "We plan to integrate the models with our electronic medical records to provide a prediction of post-surgical pain for each patient," said Mieke A. Soens, M.D., lead author of the study and an anesthesiologist at Brigham and Women's Hospital and anesthesiology instructor at Harvard Medical School, Boston.

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Scientists have created a detailed cellular and molecular map of the healthy human heart to understand how this vital organ functions and to shed light on what goes awry in cardiovascular disease. The work, published in the journal Nature, was led by investigators at Harvard Medical School, Brigham and Women's Hospital, the Wellcome Sanger Institute, Max Delbruck Center for Molecular Medicine (MDC) in Germany, Imperial College London and their global collaborators. The team analyzed almost a half million individual cells to build the most extensive cell atlas of the human heart to date. The atlas shows the huge diversity of cells and reveals heart muscle cell types, cardiac protective immune cells and an intricate network of blood vessels. It also predicts how the cells communicate to keep the heart working. The research is part of the Human Cell Atlas initiative to map every cell type in the human body.

Credit: ANI    Duration: 01:34Published

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