With the increasing rate of Omicron in Indonesia, currently 152 regencies/cities are aggressively conducting Covid-19 tests above the national average. Data as of Saturday, October 1, 2022, shows the national average testing rate at 0.51 people per 1000 population/week.
The top five, starting from the highest number of people tested per 1000 population/week, are South Jakarta (4.88 people), Central Jakarta (4.8 people), Bau Bau City (3.93 people), Balikpapan City (3.85 people), and North Jakarta (3.31 people).
South Jakarta ranks first. The number of people tested there is recorded at 4.88 per 1000 population/week. The latest positive rate is 6.12 percent. The positive rate in this region has decreased compared to the previous week's percentage.
Next is Central Jakarta. The population of this region is recorded at 913,720 people. In an effort to combat the Covid-19 pandemic, the number of people tested is 4.8 per 1000 population/week. The positive rate in this region is recorded at 9.64 percent, or higher than the previous week's percentage.
Then, Bau Bau City, with a population of 174,370 people, recorded 3.93 Covid-19 tests per 1000 population/week; Balikpapan City recorded 3.85 tests per 1000 population/week; and North Jakarta recorded 3.31 tests per 1000 population/week.
Anticipating the impact of Omicron in various regions, based on a recapitulation of national Covid data, there are 172 regencies/cities in Indonesia that actively report a higher daily number of people tested than before. Meanwhile, 120 other regencies/cities recorded a lower number of people tested compared to the previous week.
Areas outside Java with the highest number of people tested include Bau Bau City, Balikpapan City, and Badung Regency, with 3.93, 3.85, and 2.86 people tested, respectively.
Although Covid-19 transmission in some areas has decreased, the government urges everyone to continue to reduce Covid-19 transmission by always wearing masks, maintaining distance, and frequently washing hands with soap and running water. Avoiding crowds and reducing mobility also contribute to suppressing the rate of coronavirus transmission.