| Literature DB >> 32904946 |
Amjad Ali1, Mumtaz Ahmed2, Nazia Hassan3.
Abstract
This study examines the trend of the spread of coronavirus disease (COVID-19) pandemic in Pakistan and to explore the community perception of the socioeconomic impact of COVID-19 pandemic in a rural mountain area of Pakistan. An online survey was conducted through snowball sampling technique and total 367 people participated in the survey. The results of the study show that COVID-19 cases spiked amid ease of lockdown in the country and the spread of novel coronavirus pandemic has significant socioeconomic impact on the lives of mountain communities in Gilgit-Baltistan. Financial uncertainty, decrease in income, fear of job loss, and food insecurity are some major challenges that mountain communities face due to outbreak of coronavirus in the region. The results further show that lack of community cooperation with government agencies, lack of awareness about the severity of coronavirus, and insufficient COVID-19 testing kits are the major factors that caused the spread of coronavirus cases. This study suggests that the short-, medium-, and long-term policies are required to mitigate the consequences of this pandemic and to revitalize the mountain economy of Gilgit-Baltistan, and in this regard, this study provides baseline information for policy-makers and practitioners to devise such demanding policies.Entities:
Year: 2020 PMID: 32904946 PMCID: PMC7460993 DOI: 10.1002/pa.2355
Source DB: PubMed Journal: J Public Aff ISSN: 1472-3891
Number of cases reported after ease in Lockdown
| Period, as of | Confirmed cases | Change in number of cases |
|---|---|---|
| April 25,2020 | 12,723 | |
| April 30,2020 | 16,817 | 4,094 |
| May 5,2020 | 22,550 | 5,733 |
| May 10,2020 | 30,941 | 8,391 |
| May 15,2020 | 38,799 | 7,858 |
| May 20,2020 | 48,091 | 9,292 |
| May 25,2020 | 57,705 | 9,614 |
| May 30,2020 | 69,496 | 11,791 |
| June 5,2020 | 93,983 | 24,487 |
| June 10,2020 | 119,536 | 25,553 |
Source: The Ministry of National Health Services, Regulation and coordination, 2020.
Number of cases reported in every 15 day
| Period (as of) | Confirmed cases | Increase in number of cases | % increase | Deaths |
|---|---|---|---|---|
| March 11, 2020 | 20 | — | — | |
| March 26, 2020 | 1,235 | 1,215 | 6,075 | 9 |
| April 11, 2020 | 5,038 | 3,803 | 308 | 86 |
| April 26, 2020 | 13,328 | 8,290 | 165 | 281 |
| May 11, 2020 | 32,081 | 18,753 | 141 | 706 |
| May 26, 2020 | 59,151 | 27,070 | 84 | 1,197 |
| June 11, 2020 | 125,933 | 66,782 | 113 | 2,356 |
| June 26,2020 | 198,883 | 72,950 | 58 | 4,035 |
| July 11, 2020 | 248,856 | 122,923 | 25 | 5,197 |
| July 26, 2020 | 274,289 | 25,433 | 10 | 5,842 |
Source: The Ministry of National Health Services, Regulation and coordination, 2020.
Provincially disaggregated data (as of July 28, 2020)
| Region | Confirm cases | Active cases | Deaths | Recoveries | Recovery ratio (%) | Death ratio |
|---|---|---|---|---|---|---|
| AJK | 2,055 | 462 | 50 | 1,543 | 75 | 2.43 |
| Balochistan | 11,654 | 1,438 | 136 | 10,080 | 86 | 1.17 |
| Gilgit‐Baltistan | 2,042 | 334 | 50 | 1,658 | 81 | 2.45 |
| Islamabad | 14,963 | 2,421 | 165 | 12,377 | 83 | 1.10 |
| KPK | 33,724 | 4,814 | 1,186 | 27,724 | 82 | 3.52 |
| Punjab | 92,452 | 7,807 | 2,133 | 82,512 | 89 | 2.31 |
| Sindh | 119,398 | 8,237 | 2,172 | 108,989 | 91 | 1.82 |
| Overall Pakistan | 276,288 | 25,513 | 5,892 | 244,883 | 89 | 2.13 |
Source: The Ministry of National Health Services, Regulation and coordination, 2020.
Profile of respondents
| Variables | Descriptions | Frequency | Percentage |
|---|---|---|---|
| Gender | Female | 103 | 28 |
| Male | 264 | 72 | |
| Age (years) | 18–25 | 84 | 22.89 |
| 26–35 | 224 | 61.04 | |
| 36–45 | 48 | 13.08 | |
| Above 45 | 11 | 3.00 | |
| Education | FA | 18 | 4.90 |
| BA/BSc | 63 | 17.17 | |
| Masters | 202 | 55.04 | |
| MS/Mphil | 63 | 17.17 | |
| PhD | 21 | 5.72 | |
| Profession | Currently unemployed | 29 | 7.90 |
| Employed in Govt. institution | 77 | 20.98 | |
| Employed in private institution | 134 | 36.51 | |
| Personal business | 43 | 11.72 | |
| Students | 75 | 20.44 | |
| Others | 9 | 2.45 | |
| District of origin | Ghizer | 154 | 41.96 |
| Gilgit | 109 | 29.70 | |
| Nagar | 14 | 3.81 | |
| Astore | 11 | 3.00 | |
| Hunza | 77 | 20.98 | |
| Diamer | 2 | 0.54 | |
| Destination | Gilgit | 145 | 39.51 |
| Hunza | 61 | 16.62 | |
| Karachi | 57 | 15.53 | |
| Islamabad | 43 | 11.72 | |
| Yasin | 25 | 6.81 | |
| Rawalpindi | 16 | 4.36 | |
| Jutial | 14 | 3.81 | |
| Nagar | 2 | 0.54 | |
| USA | 1 | 0.27 | |
| Quetta | 2 | 0.54 | |
| Nepal | 1 | 0.27 |
FIGURE 1Perceived impact of COVID‐19 pandemic
FIGURE 2Perceived economic impact
FIGURE 3Expenditure management during COVID‐19 lockdown
FIGURE 4Perception about COVID‐19 mitigation measures
FIGURE 5Issues with COVID‐19 outbreak in the region
FIGURE 6Support to local community
FIGURE 7Proposed COVID‐19 mitigation measures
Performance rating of different institutions
| Measures taken by local government | Measures taken by NGOs | Measures taken by community members | Public cooperation with Govt. agencies | |
|---|---|---|---|---|
| N | 367 | 367 | 367 | 367 |
| Mean (average) | 2.14 | 1.72 | 2.03 | 2.02 |
| SD | 1.07 | 0.96 | 1.08 | 1.15 |
| Minimum | 1 | 1 | 1 | 1 |
| Maximum | 5 | 5 | 5 | 5 |
Note: 1 = unsatisfactory; 2 = satisfactory; 3 = Good; 4 = very good; 5 = excellent.