UNASSIGNED: Anonymized data on the testing for COVID were analyzed. The P-to-P is the longest time interval between two consecutive positive tests for a patient without any negative test in between the positives. P-to-Plast is the time between the first positive and last positive test, as opposed to P-to-P, here we are looking at the first and last positive tests that might or might not be consecutive. P-to-N intervals is the time between the first positive and first negative test of a patient.
UNASSIGNED: India conducted 170,914,170 tests during the study-period (until December 29, 2020). After excluding invalid test results and duplicates, there were 11,101,603 (6.5%) positive and 156,542,352 (93.5%) negative test-results performed upon 150,086,257 unique individuals. A negative-report following a positive-test was available in 12.69%. Nearly three-fourths of the cases (78.29%) belonged to the working-age group (18-60 years). The proportion of patients >50 years old has risen from 26.06 to 35.03%, with a steep rise beyond September 2020. Gender-ratio among the positives was 1.73:1 which was neutral in neonates < 7-days (age). The gender ratio was skewed in-favor-of males in the initial months with a reverse trend thereafter and with increasing age of patients. The mean P-to-P, P-to-Plast, and P-to-N durations were 12.7 + 4.3, 13.3 + 4.6, and 14.2 + 4.9 days for individuals with P-to-P duration of 1-4 weeks. The probability of testing negative was 82 & 85% at 14 & 21 days after the first-positive-test respectively with no gender bias.
UNASSIGNED: The current study has highlighted some vital aspects of COVID-19 epidemiology in India. This study will add to the current understanding of the virus in the absence of pre- existing information on the novel virus and the disease per se.
■分析了COVID测试的匿名数据。P到P是患者的两个连续阳性测试之间的最长时间间隔,而阳性之间没有任何阴性测试。P-to-Plast是第一个阳性测试和最后一个阳性测试之间的时间,而不是P-to-P,在这里,我们看到的是可能连续或不连续的第一个和最后一个阳性测试。P-N间隔是患者的第一次阳性和第一次阴性测试之间的时间。
■印度在研究期间进行了170,914,170次测试(直到2020年12月29日)。排除无效测试结果和重复项后,对150,086,257名独特个体进行了11,101,603名(6.5%)阳性和156,542,352名(93.5%)阴性测试结果.阳性测试后的阴性报告为12.69%。近四分之三的病例(78.29%)属于工作年龄组(18-60岁)。>50岁的患者比例从26.06%上升到35.03%,在2020年9月之后急剧上升。阳性中的性别比例为1.73:1,在<7天(年龄)的新生儿中是中性的。在最初的几个月中,性别比例偏向男性,此后趋势相反,并且随着患者年龄的增加。平均P对P,P-to-Plast,P-P持续时间为1-4周的个体的P-N持续时间分别为12.7+4.3、13.3+4.6和14.2+4.9天。在第一次阳性测试后14天和21天,测试阴性的概率分别为82%和85%,没有性别偏见。
■当前的研究强调了印度COVID-19流行病学的一些重要方面。在缺乏关于新病毒和疾病本身的预先存在的信息的情况下,这项研究将增加对病毒的当前理解。