Only Hospitalisation Data Can't Determine if Peak is Over: Experts on Covid Wave in Delhi
Only Hospitalisation Data Can't Determine if Peak is Over: Experts on Covid Wave in Delhi
Hospitalisation has remained relatively low in Delhi, and Health Minister Satyendar Jain said Wednesday that the plateauing of hospital admissions indicates that the ongoing wave has peaked and cases may go down soon.

One cannot conclude that the peak of the ongoing wave of the coronavirus pandemic is over in Delhi solely on the basis of hospital admission data, experts said Thursday as the number of cases and positivity rate continue the upward trend in the city. Hospitalisation has remained relatively low in Delhi, and Health Minister Satyendar Jain said Wednesday that the plateauing of hospital admissions indicates that the ongoing wave has peaked and cases may go down soon. However, according to noted epidemiologist Dr Chandrakant Lahariya it cannot be concluded that the peak is over solely on the basis of hospital admission data.

The reason being that people get admitted to hospital only some days after they have developed the disease, he said. "So, there is a lag of 6-7 days." "The number of daily cases and the positivity rate should be used to determine the peak. Hospitalisation depends on the criteria adopted for admission (in a particular region). Of course, hospitalisation is an important parameter for public health planning purposes, but not for describing a peak," he said.

Director of the National Institute for Implementation Research on Non-Communicable Diseases, Jodhpur, Dr Arun Sharma said, "Epidemiologically, the peak of a wave is determined with the help of the rate of transmission, the number of infected people and the uninfected susceptible population. It can be plotted on a graph but the ground reality is always different from epidemiological modelling." The positivity rate is the most important factor because the number of cases may increase or decrease depending on the number of tests conducted, he said.

"Only when the test positivity rate start declining, we would know we have passed the peak," Dr Sharma said. "In case of Omicron, most cases are mild and do not require hospitalisation. So, the wave has peaked or not cannot be determined looking at hospital admissions," he added. Jain had said on Wednesday the plateauing of hospital admissions over the four days before that indicates the ongoing wave has peaked and cases may go down soon. Dr Rajeev Jayadevan, vice chairman of the research cell of Kerala's unit of Indian Medical Association, said the number of hospital admissions is the best indicator of the severity of the ongoing wave of the pandemic, but it is difficult to say whether the wave has peaked or not.

"In 2020, testing was being done with an intention to find a case and isolate them. Now, it is not possible. Everybody is turning out to be positive. How many are we going to chase down the road?" he said. He said such an exercise takes away manpower from more urgent needs. "So, ultimately what matters is how saturated are hospital beds in a region, and also whether there is enough manpower to make healthcare delivery possible. In hindsight, the number of hospital admissions and their outcomes will be the best indicator of how severe this wave was." "The test positivity rate (TPR) depends on the willingness of people coming forward for testing, availability of testing (resources), who gets tested, and the number of test results that are reported into a central database. TPR in the same area could be followed for trends, but it cannot be compared between regions. So, TPR cannot be relied upon as a sole parameter to decide strategies," he said.

Delhi reported 22,751 infections on Sunday, 19,116 on Monday, 21,259 on Tuesday, and 27,561 on Wednesday. The positivity rate stood at 23.5 percent on Sunday, 25 percent on Monday, 25.6 percent on Tuesday and 26.2 percent on Wednesday.

Read all the Latest India News here

What's your reaction?

Comments

https://umatno.info/assets/images/user-avatar-s.jpg

0 comment

Write the first comment for this!