Based on national Covid-19 data, 171 regencies/cities aggressively conducted weekly suspect testing exceeding the national average. As of Thursday, November 24, 2022, the national average was 13.34 percent. This suspect testing data is calculated based on the number of suspected individuals and close contacts compared to the number of people tested in each region, subsequently reported to the Ministry of Health.
The top five, starting with the highest weekly suspect testing percentage, are Simalungun (88.76%), Boven Digoel (82.54%), Mandailing Natal (81.05%), Padang Lawas (80.38%), and Sigi (77.4%).
Simalungun ranks first. With a population of 877,710, its weekly suspect testing percentage is 88.76 percent. The latest positive rate is 6.98 percent. The positive rate in this region increased compared to the previous week.
Next is Boven Digoel. This region has a population of 71,134. In efforts to combat the Covid-19 pandemic, the weekly suspect testing percentage is 82.54 percent. The positive rate in this region is 21.43 percent, a decrease from the previous week's ratio.
The weekly suspect testing percentage in Mandailing Natal is 81.05 percent, in Padang Lawas 80.38 percent, and in Sigi 77.4 percent.
In anticipation of the Omicron impact in various regions, based on national Covid-19 data recapitulation, 173 regencies/cities in Indonesia actively reported higher daily weekly suspect testing percentages than before. Meanwhile, 183 other regencies/cities recorded lower weekly suspect testing percentages compared to the previous week.
Regions outside Java with the highest weekly suspect testing percentages include Simalungun, Boven Digoel, and Mandailing Natal, with weekly suspect testing percentages of 88.76 percent, 82.54 percent, and 81.05 percent, respectively.
Although Covid-19 transmission has decreased in some areas, the government urges everyone to continue reducing Covid-19 transmission by consistently wearing masks, maintaining distance, and frequently washing hands with soap and running water. Avoiding crowds and reducing mobility also contribute to suppressing the spread of the coronavirus.