Based on national Covid-19 data, 164 regencies/cities aggressively conducted suspect testing, exceeding the national average weekly percentage. As of Friday, April 15, 2022, the national average was 6.08 percent. This suspect testing data is calculated based on the number of suspected individuals and close contacts compared to the total number of people tested in each region, subsequently reported to the Ministry of Health.
The top five, in descending order, are Pangandaran, Padang Lawas Utara, Padang Lawas, Simalungun, and Barito Timur, with ratios of 73.24 percent, 65.24 percent, 64.93 percent, 57.16 percent, and 55.26 percent respectively.
Pangandaran ranks first. With a population of 407,350, its weekly suspect testing percentage is 73.24 percent. The latest positive rate is 0.7 percent, lower than the previous week.
Next is Padang Lawas Utara. With a population of 293,240, its weekly suspect testing percentage in efforts to combat the Covid-19 pandemic is 65.24 percent. The positive rate is 0 percent, also lower than the previous week.
Following this, Padang Lawas recorded 64.93 percent, Simalungun (population 877,710) recorded 57.16 percent, and Barito Timur (population 128,130) recorded 55.26 percent in weekly suspect testing percentages.
In anticipation of the Omicron impact across various regions, national Covid-19 data shows 149 regencies/cities actively reporting higher weekly suspect testing percentages than before. Meanwhile, 218 other regencies/cities recorded lower weekly suspect testing percentages compared to the previous week.
Some of the regions outside Java with the highest weekly suspect testing percentages include Padang Lawas Utara, Padang Lawas, and Simalungun, with percentages of 65.24 percent, 64.93 percent, and 57.16 percent respectively.
Although Covid-19 transmission has decreased in some areas, the government urges everyone to continue reducing transmission by consistently wearing masks, maintaining physical distance, and frequently washing hands with soap and running water. Avoiding crowds and reducing mobility also contribute to suppressing the spread of the coronavirus.