According to researchers at the University of California, Los Angeles and Washington University in Washington, before the novel coronavirus was officially identified in the United States, the oncovirus could be around Christmas in Los Angeles.
A team of researchers found spikes in patients with acute respiratory failure and cough at UCLA health hospitals and clinics around December 2019 when they analyzed health records, according to a press release from the university. Findings published in a report in the journal Internet Internet Medical Research suggest that the novel coronavirus is surfacing months before the first case was officially identified in the area.
The researchers said that the growing number of patients with respiratory complaints began in late December 2019 and continued until February 2020, indicating that the U.S. Infections of the SARS-Cavi-2 community were present before the official awareness of the case in (Istock C).
The team of researchers analyzed the records of more than 10 million UCLA outpatients, emergency department and hospital facilities between December 1, 2019 and February 29, 2020 – months before the United States became aware of the presence of the novel coronavirus.
They found patients receiving cough treatment at outpatient clinics that “the average number of visits for the same complaint has exceeded 10,000 in the previous five years,” the study said in a press release.
The mutated form of coronavirus may be more relevant, but much more deadly, experts say
The published report noted an increase in patients for complaints of cough and acute respiratory failure in the emergency departments.
“A significant proportion of patients with respiratory complaints and diseases, beginning in late December 2019 and continuing until February 2020, suggest the spread of community SARS-Co-2 before the establishment of clinical awareness and testing capabilities,” the study found.
The study authors also noted the importance of monitoring electronic health records (EHR) in their analysis to identify population changes.
“This provides an example of how powerful and agile health system analytics combined with EHR data can provide powerful tools when future trends in this patient population are out of the expected range.”
The choice of coronavirus inf CTION action can be determined by the study group, using face masks.
The co-author of the study, UCLA Health Chief Information Officer Dr. Michael Pfeiffer said in the publication, “Technology, including artificial intelligence powered by machine learning, has the potential to recognize irregular changes in health information, including a causal dish and potential redundancy. Patients with specific disease-type representations within weeks or months of an epidemic outbreak. “
By focusing not only on hospital data, but also on outpatient settings, the researchers said it could help epidemiologists and health systems detect future epidemics more quickly.
“For many diseases, outpatient setting data can alert emergency departments and pregnant care units in the hospital as soon as possible,” said Dr. John Elmore, Professor of Medicine in the Department of General Internal Medicine. Health services research at the David Geffen School of Medicine at UCLA.
“We will never really know if these more patients present COVID-19 cases with early and detected patients in our area,” Elmore said. “But the lessons learned from these epidemics, combined with health care analyzes that enable real-time surveillance of disease and symptoms, could potentially help us identify and detect epidemics and future epidemics.”
