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Background: The unprecedented outbreak of 2019 novel coronavirus disease (COVID-19) drastically spread worldwide. The study was aimed to articulate the findings of a descriptive and clinical characteristic, also to access the potential risk factors link with the spread of COVID-19. Method: The COVID-19 cases reported through April 30, 2020, were extracted from Balochistan’s COVID-19 Electronic Dashboard. All cases from March to April 2020 were included. The results of the laboratory finding as well as data acquired through COVID-19 Dashboard were cleaned; descriptive exploratory analysis and chi-square were calculated to demonstrate the association using Epi- Info. Results: A total of 1381 patient records extracted and screened. Of these, 1218 suspected cases and 1049 confirmed cases contributed to the analysis. Among confirmed cases, 77% (811) were male. The most affected age group was 60 – 69 years (attack rate 1.90/10,000), mean age was 36 ±17.11 SD with age range 2 months-94 years. District Quetta 82% (864) and district Pishin 5% (55) remained the epi-center for high attack rates. Among confirmed cases, a total of 14 deaths occurred for an overall Case fatality rate of 1.33%. The epi surge was peaked around March 19, April 5, and April 24, 2020. Among high-risk personals, those who had contact with infected individuals’ showed a high association of 97% (323/333) than without any contact 87% (221/254). Those who had travel history showed a prevalence of 86% (87/101) than in those who did not 59% (60/104) while those admitted in hospital with comorbid conditions showed a prevalence of 70% (26/37) than in those who did not 13% (6/46). Conclusion: COVID-19 epidemic has spread rapidly in the province. A series of multidimensional public health interventions, a cost-effective surveillance system, and the adoption of safe working practice, awareness sessions are necessary to control the COVID-19 outbreak

Introduction: COVID-19, a novel disease, appeared in December 2019 in China and rapidly spread across the world. Till the second week of April 2020, high incidence (2.9/100,000) and cases fatality rates (1.7%) were observed in Pakistan. This study was conducted to determine the temporal and spatial distribution of the first 100 deaths attributed to COVID-19 in Pakistan and their associated demographic factors. Method: A record review of the first 100 deaths reported among RT-PCR confirmed COVID-19 cases was conducted. Demographic, epidemiological, and risk factors information was obtained associated comorbidities and clinical signs and symptoms were recorded and frequencies were determined. Results: A total of 100 mortalities with an overall case fatality rate of 1.67% (CFR) were analyzed. The median age of patients was 64.5 years (IQR: 54-70) with 75% (n=75) males. Among all deaths reported, 71 (71%) cases had one or more documented comorbidities at the time of diagnosis. The most frequently reported co-morbidities were: hypertension (67%), followed by Diabetes Mellitus (45%) and Ischemic Heart Diseases (27%). The most frequent presenting symptoms were shortness of breath (87%) and fever (79%). The median duration of illness was eight days (IQR: 4-11 days), the median delay reaching hospital to seek health care was three days (IQR: 0-6 days) while the median duration of hospital stay was also three days (IQR: 1-7 days). Among all, 62% had no history of international travel. The most affected age group was 60-69 years while no death reported in the age group below 20 years.

· COVID-19 pandemic has emerged and spread rapidly across the world · Novel behavior of coronavirus has been seen in Pakistan · Number of COVID-19 cases has been increasing despite many control and preventive measures taken by government of Pakistan · Mathematical models help public health professionals estimate the size of epidemic in near future

IntroductionCOVID-19, a novel disease, appeared in December 2019 in China and rapidly spread across the world. Till second week of April 2020, high incidence (2.9/100,000) and cases fatality rates (1.7%)was observed in Pakistan.This study was conducted to determine temporal and spatial distribution of first 100 deaths attributed to COVID-19 in Pakistan and their associated demographic factors.MethodWe conducted a descriptive epidemiological analysis of first 100 deaths reported among RT-PCR confirmed COVID-19 cases. Demographic, epidemiological and risk factors information was obtained associated comorbidities and clinical signs and symptoms were recorded and frequencies were determined.ResultsA total of 100 mortalities with overall Case Fatality Rate 1.67% (CFR) were analysed. Median age of patients was 64.5 years (IQR: 54–70) with 75% (n = 75) Males. Among all deaths reported, 71 (71%) cases had one or more documented comorbidities at the time of diagnosis. Most frequently reported co-morbidities were; hypertension (67 %), followed by Diabetes Mellitus 945%) and Ischemic Heart Diseases (27%). First death was reported on 18 March 2020 and the most frequent presenting symptoms were shortness of breath (87%) and fever (79%). Median duration of illness was eight days (IQR: 4–11 days), median delay reaching hospital to seek health care was three days (IQR: 0–6 days) while median duration of hospital stay was also three days (IQR: 1–7 days). Among all reported deaths, 62% were attributed to local transmission as these cases had no history of international travel. The most affected age group was 60–69 years while no death reported in age group below 20 years.ConclusionHigh CFR among old age group and its association with co-morbidities (chronic disease) suggests targeted interventions such as social distancing and strict quarantine measure for elderly and morbid people. Comparative studies among deaths and recovered patients are recommended to explore further disease dynamics.

Introduction: COVID-19, a novel coronavirus disease, appeared in December 2019 in China and rapidly spread across the world. Till second week of April 2020, high incidence (2.9/100,000) and cases fatality rates (1.7%) has been observed. During an epidemic, CFR is considered as an important indicator of disease severity. This study was conducted to estimate the temporal and spatial distribution of first 100 deaths attributed to COVID-19 in Pakistan and to determine the associated demographic factors Method: We conducted an epidemiological analysis of first 100 deaths reported among RT-PCR confirmed COVID-19 cases. Demographic, epidemiological and risk factors information was obtained along with history of travel. The overall case fatality rate was calculated and spatial and temporal trends of CFR were determined. Associated comorbidities and clinical signs and symptoms were recorded and frequencies were determined. Results: A total of 100 mortalities with overall Case Fatality Rate 1.67% (CFR) were analysed. Median age of patients was 64.5 years (IQR: 54-70) with 75% (n=75) Males. Among all deaths reported, 71 (71%) cases had one or more documented comorbidities at the time of diagnosis. Most frequently reported co-morbidities were; hypertension (67 %), followed by Diabetes Mellitus 945%) and Ischemic Heart Diseases (27%). First death was reported on 18 March 2020 and the most frequent presenting symptoms were shortness of breath (87%) and fever (79%). Median duration of illness was eight days (IQR: 4-11 days), median delay reaching hospital to seek health care was three days (IQR: 0-6 days) while median duration of hospital stay was also three days (IQR: 1-7 days). Among all reported deaths, 62% were attributed to local transmission as these cases had no history of international travel. The most affected age group was 60-69 years while no death reported in age group below 20 years. Highest case fatality rate was observed in Khyber Pakhtoon Khwa (KP) province (4.39%) and no deaths reported from Azad Jammu and Kashmir region. Conclusion: High CFR among old age group and its association with co-morbidities (chronic disease) suggests targeted interventions such as social distancing and strict quarantine measure for elderly and morbid people. Comparative studies among deaths and recovered patients are recommended to explore further disease dynamics. Funding Statement: This study was not funded by any organization. Declaration of Interests: Authors declare no competing interests. Ethics Approval Statement: Study was approved by the National Institute of health’s ethical review board and was exempted from written informed consent by the same.