AIRLINK 181.39 Decreased By ▼ -2.38 (-1.3%)
BOP 11.17 Decreased By ▼ -0.09 (-0.8%)
CNERGY 8.54 Increased By ▲ 0.01 (0.12%)
CPHL 94.26 Decreased By ▼ -2.18 (-2.26%)
FCCL 46.18 Increased By ▲ 0.01 (0.02%)
FFL 15.66 Decreased By ▼ -0.09 (-0.57%)
FLYNG 28.18 Decreased By ▼ -0.18 (-0.63%)
HUBC 142.77 Decreased By ▼ -0.67 (-0.47%)
HUMNL 13.24 Increased By ▲ 0.24 (1.85%)
KEL 4.53 Increased By ▲ 0.09 (2.03%)
KOSM 5.79 Increased By ▲ 0.02 (0.35%)
MLCF 65.51 Increased By ▲ 0.94 (1.46%)
OGDC 212.88 Decreased By ▼ -1.20 (-0.56%)
PACE 6.05 Increased By ▲ 0.08 (1.34%)
PAEL 46.60 Decreased By ▼ -0.42 (-0.89%)
PIAHCLA 18.17 Increased By ▲ 1.08 (6.32%)
PIBTL 10.61 Increased By ▲ 0.18 (1.73%)
POWER 12.31 Increased By ▲ 0.19 (1.57%)
PPL 170.90 Decreased By ▼ -0.84 (-0.49%)
PRL 34.27 Decreased By ▼ -0.25 (-0.72%)
PTC 22.86 Increased By ▲ 0.47 (2.1%)
SEARL 94.95 Increased By ▲ 2.04 (2.2%)
SSGC 42.47 Increased By ▲ 1.64 (4.02%)
SYM 14.19 Decreased By ▼ -0.01 (-0.07%)
TELE 7.21 Decreased By ▼ -0.07 (-0.96%)
TPLP 9.91 Decreased By ▼ -0.10 (-1%)
TRG 65.55 Decreased By ▼ -1.10 (-1.65%)
WAVESAPP 9.85 Decreased By ▼ -0.28 (-2.76%)
WTL 1.32 No Change ▼ 0.00 (0%)
YOUW 3.76 Decreased By ▼ -0.03 (-0.79%)
AIRLINK 181.39 Decreased By ▼ -2.38 (-1.3%)
BOP 11.17 Decreased By ▼ -0.09 (-0.8%)
CNERGY 8.54 Increased By ▲ 0.01 (0.12%)
CPHL 94.26 Decreased By ▼ -2.18 (-2.26%)
FCCL 46.18 Increased By ▲ 0.01 (0.02%)
FFL 15.66 Decreased By ▼ -0.09 (-0.57%)
FLYNG 28.18 Decreased By ▼ -0.18 (-0.63%)
HUBC 142.77 Decreased By ▼ -0.67 (-0.47%)
HUMNL 13.24 Increased By ▲ 0.24 (1.85%)
KEL 4.53 Increased By ▲ 0.09 (2.03%)
KOSM 5.79 Increased By ▲ 0.02 (0.35%)
MLCF 65.51 Increased By ▲ 0.94 (1.46%)
OGDC 212.88 Decreased By ▼ -1.20 (-0.56%)
PACE 6.05 Increased By ▲ 0.08 (1.34%)
PAEL 46.60 Decreased By ▼ -0.42 (-0.89%)
PIAHCLA 18.17 Increased By ▲ 1.08 (6.32%)
PIBTL 10.61 Increased By ▲ 0.18 (1.73%)
POWER 12.31 Increased By ▲ 0.19 (1.57%)
PPL 170.90 Decreased By ▼ -0.84 (-0.49%)
PRL 34.27 Decreased By ▼ -0.25 (-0.72%)
PTC 22.86 Increased By ▲ 0.47 (2.1%)
SEARL 94.95 Increased By ▲ 2.04 (2.2%)
SSGC 42.47 Increased By ▲ 1.64 (4.02%)
SYM 14.19 Decreased By ▼ -0.01 (-0.07%)
TELE 7.21 Decreased By ▼ -0.07 (-0.96%)
TPLP 9.91 Decreased By ▼ -0.10 (-1%)
TRG 65.55 Decreased By ▼ -1.10 (-1.65%)
WAVESAPP 9.85 Decreased By ▼ -0.28 (-2.76%)
WTL 1.32 No Change ▼ 0.00 (0%)
YOUW 3.76 Decreased By ▼ -0.03 (-0.79%)
BR100 12,588 Increased By 72.3 (0.58%)
BR30 37,879 Decreased By -72.9 (-0.19%)
KSE100 117,316 Increased By 414.5 (0.35%)
KSE30 36,116 Increased By 183.7 (0.51%)
Pakistan

Data shows lockdown prevented spike in coronavirus cases in Pakistan

Confirmed cases in Pakistan are doubling roughly every two weeks, says Airdus. Earlier, Airdus informed that t
Published April 14, 2020
  • Confirmed cases in Pakistan are doubling roughly every two weeks, says Airdus.
  • Earlier, Airdus informed that the Pakistani government has joined hands with a predictive analytics startup Love For Data

The number of confirmed coronavirus cases in Pakistan is doubling after every two weeks, revealed the head of Digital Pakistan Tania Airdus on Tuesday.

“Comparison of a global COVID-19 growth trend with indication of when restrictions were imposed,” said Airdus, while sharing coronavirus growth trends on social media. “Confirmed cases in Pakistan are doubling roughly every two weeks,” she added.

Aidrus shared two data trends prepared in collaboration with Love For Data and Digital Pakistan, one such trend showed COVID-19 global growth trend. “Pakistan moved swiftly as compared to other countries in dealing with COVID-19. The measures by Pakistan, although harsh, were critical in order to prevent the virus from spreading quickly. It prevented the number of cases from getting unmanageably high,” stated the data.

Meanwhile, another trend showed Pakistan's daily growth rate in the number of cases. “Initially, Pakistan had a fairly high growth rate, especially during the week 15 March till 22 March. However, the rate dropped significantly over the past 2 weeks owing to the well implemented lockdown.”

“The imposed lockdown averted the much anticipated increase owing to the 14-day infection cycle of the virus,” the data showed.

Earlier, Airdus informed that the Pakistani government has joined hands with a predictive analytics startup Love For Data, which would help authorities, make “data-driven decisions” in its combat against the coronavirus.

Comments

Comments are closed.