ABSTRACT
The aim of the article was to analyze the characteristics of early peripheral blood laboratory examination results of patients with new coronavirus pneumonia (coronavirus disease 2019, COVID-19), and provide references for early clinical identification. From January 11, 2020 to February 18, 2020, all 626 patients who attended the fever clinic of Tongji Hospital affiliated to Tongji Medical College of Huazhong University of Science and Technology and tested positive for the new coronavirus (SARS-CoV-2) nucleic acid were selected as the research group In addition, 254 suspected patients who visited the fever clinic during the same period and the SARS-CoV-2 nucleic acid test was negative for two or more consecutive times were selected as the control group, and analyzed the blood cell test, biochemical routine, and inflammation markers of the two groups of patients at the fever clinic for the first time. The characteristics of 31 hematological indicators. Compared with the control group, the white blood cell (WBC), lymphocyte (LYMPH), platelet (PLT), serum calcium (serum calcium, Ca) of the study group were significantly reduced, and the hypersensitive C-reactive protein (hypersensitive C-reactive protein, hsCRP) significantly increased, the difference was statistically significant, and there was a difference in the distribution of results. In the study group, WBC was mostly normal or decreased. WBC was normal in 85.3%, decreased in 9.4%, LYMPH decreased in 43.1%, PLT decreased in 12.8%, Ca decreased in 61.8%, hsCRP was higher than 10mg/L accounted for 66.2%. The remaining 26 hematological indicators (Cl, Na, K, HCO3, Urea, UA, Cr, TBA, CHE, ALB, ALT, ALP, LDH, TP, PCT, DBIL, GLB, IBIL, TBIL, P-GGT, TCHOL, AST, Hb, RBC, NEUT, MON) There was no statistically significant difference between the two groups. WBC, LYMPH, PLT, Ca and hsCRP have significant changes in the early stage of COVID-19 patients. Joint detection and observation of the above indicators can provide important references for early clinical identification.
ABSTRACT
Lockdown measures are essential to containing the spread of coronavirus disease 2019 (COVID-19), but they will slow down economic growth by reducing industrial and commercial activities. However, the benefits of activity control from containing the pandemic have not been examined and assessed. Here we use daily carbon dioxide (CO2) emission reduction in China estimated from statistical data for energy consumption and satellite data for nitrogen dioxide (NO2) measured by the Ozone Monitoring Instrument (OMI) as an indicator for reduced activities consecutive to a lockdown. We perform a correlation analysis to show that a 1% day-1 decrease in the rate of COVID-19 cases is associated with a reduction in daily CO2 emissions of 0.22% ± 0.02% using statistical data for energy consumption relative to emissions without COVID-19, or 0.20% ± 0.02% using satellite data for atmospheric column NO2. We estimate that swift action in China is effective in limiting the number of COVID-19 cases <100,000 with a reduction in CO2 emissions of up to 23% by the end of February 2020, whereas a 1-week delay would have required greater containment and a doubling of the emission reduction to meet the same goal. By analyzing the costs of health care and fatalities, we find that the benefits on public health due to reduced activities in China are 10-fold larger than the loss of gross domestic product. Our findings suggest an unprecedentedly high cost of maintaining activities and CO2 emissions during the COVID-19 pandemic and stress substantial benefits of containment in public health by taking early actions to reduce activities during the outbreak of COVID-19.