Based on national Covid-19 data, 160 regencies/cities aggressively conducted weekly suspect testing exceeding the national average. As of Tuesday, April 5, 2022, the national average was 9.85 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, which is then reported to the Ministry of Health.
The top five, starting from the highest, are Padang Lawas Utara, Dompu, Buol, Pidie, and Simalungun, with ratios of 78.02 percent, 64.91 percent, 58.39 percent, 57.79 percent, and 57.24 percent, respectively.
Padang Lawas Utara ranks first. With a population of 293,240, its weekly suspect testing percentage is 78.02 percent. The latest positive rate is 2.02 percent. The positive rate in this region increased compared to the previous week.
Next is Dompu. This region has a population of 269,310. In efforts to combat the Covid-19 pandemic, the weekly suspect testing percentage is 64.91 percent. The positive rate in this region is 0.31 percent, a decrease compared to the previous week.
Furthermore, the weekly suspect testing percentage in Buol is 58.39 percent, 57.79 percent in Pidie, and 57.24 percent in Simalungun.
In anticipation of the Omicron impact in various regions, based on national Covid-19 data recapitulation, 115 regencies/cities in Indonesia actively reported a higher weekly percentage of suspect testing than before. Meanwhile, 267 other regencies/cities recorded a lower weekly suspect testing percentage compared to the previous week.
Regions outside Java with the highest weekly suspect testing percentage ratios include Padang Lawas Utara, Dompu, and Buol, with weekly suspect testing percentages of 78.02 percent, 64.91 percent, and 58.39 percent, respectively.
Although Covid-19 transmission has decreased in some areas, the government urges everyone to continue reducing 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 spread of the coronavirus.