Based on national Covid-19 data, 157 regencies/cities aggressively conducted suspect testing, exceeding the national average weekly percentage. As of Saturday, April 16, 2022, the national average was 5.82 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, starting with the highest weekly suspect testing percentage, are Pangandaran (74.63%), Padang Lawas (65.6%), Padang Lawas Utara (62.95%), Simalungun (57.76%), and Barito Timur (52.05%).
Pangandaran ranks first. With a population of 407,350, its weekly suspect testing percentage is 74.63 percent. The latest positive rate is 0.69 percent, lower than the previous week.
Next is Padang Lawas. With a population of 305,310, its weekly suspect testing percentage is 65.6 percent. The positive rate is 1.42 percent, higher than the previous week.
Following is Padang Lawas Utara, with a population of 293,240, and a weekly suspect testing percentage of 62.95 percent; Simalungun, with a population of 877,710, and a weekly suspect testing percentage of 57.76 percent; and Barito Timur with a weekly suspect testing percentage of 52.05 percent.
In anticipation of the Omicron impact across various regions, based on national Covid-19 data, 142 regencies/cities in Indonesia actively reported a higher weekly percentage of suspect testing than previously recorded. Meanwhile, 223 other regencies/cities recorded a lower weekly suspect testing percentage compared to the previous week.
Some of the regions outside Java with the highest weekly suspect testing percentages include Padang Lawas (65.6%), Padang Lawas Utara (62.95%), and Simalungun (57.76%).
Although Covid-19 transmission has decreased in some areas, the government urges everyone to continue reducing transmission by consistently wearing masks, maintaining physical distancing, and frequently washing hands with soap and running water. Avoiding crowds and reducing mobility also contribute to curbing the spread of the coronavirus.