Objective To assess the state of knowledge, perception, preparedness and satisfaction level of health care personals (HCPs) in Azad Jammu & Kashmir (AJK) towards COVID-19. Study design It was cross sectional survey conducted by personal interviews. Methodology The study was conducted by interviewing 302 HCPs from 7 major district headquarter hospitals of AJK from May to September 2020. The questionnaire included 29 questions about demography, perception, training, preparedness, knowledge and awareness of HCPs about COVID-19. The data was encoded and analyzed statistically. Results Majority of the respondents (78.5%) believed that corona-virus is a serious health threat. However, 10.6% perceived it as a bio-weapon and 4.3% as not dangerous. About 10% of doctors were not considering it very dangerous compared to 1% of paramedics and 2.5% of the supporting staff ( P = 0.003 ). About 55% of the respondents showed confidence of the steps taken by government for prevention of COVID-19 while 45% had an opposite view. More than 70% of the participants had no formal training and the ratio of trained personals was significantly higher ( 0.018 ) in paramedical staff (33%) than doctors (15%). About 53% of the respondents were not satisfied with the provision of PPEs and 64% were not satisfied with their work and wages situation. Majority of the respondents (97%) were observed to follow the protocols for personal protection. Conclusion Majority of HCPs perceive covid-19 as a serious health concern. However, most of the HCPs are neither well trained for the current pandemic nor fully satisfied about personal protection, work load, and wages.
Background The COVID-19 pandemic is a catastrophic global phenomenon, affecting human life in a way unseen since the 1918 influenza pandemic. Effective management of this threat requires halting transmission, a strategy requiring accurate knowledge of SARS-CoV-2 transmission patterns. Methods This was a retrospective contact study aiming to estimate the transmission rate of COVID-19 by tracing contacts in symptomatic, pre-symptomatic, and asymptomatic patients. History of patients’ contacts during 24 h before appearance of symptoms or infection confirmation was traced for disease transmission. Results Overall, a total of 201 COVID-19 patients had contact with 7168 people in 24 h with an average of 35.66 contacts per patient, ranging from a minimum of 4 to maximum of 87 contacts (meetings). Out of 7168 persons met, infection was detected in 64 (0.89%). For the 155 symptomatic patients, a total of 5611 contacted persons were traced before appearance of symptoms (pre-symptomatic) in last 24 h with an average of 36.20 meetings per patient. The infection was transmitted in 63 (1.12%) people with 5548 (98.88%) remaining uninfected. Out of the 63 transmissions, 62 (98.4%) were traced within 6 h before symptom onset, while only 1 was identified in the 6–12 h timeframe before symptoms. A total of 1557 persons were traced having meeting/contacts with asymptomatic cases in last 24 h before infection confirmation. Out of these 1557 persons, only 1 was found to be infected and the infection rate was calculated to be 0.06%. Statistically, the transmission rate by pre-symptomatic patients was found to be significantly higher than the transmission rate by asymptomatic individuals (P < 0.05). Conclusion In the studied population, the risk of pre-symptomatic and asymptomatic transmission of COVID-19 was low, with transmission risks of 1.12% and 0.06% respectively. Pre-symptomatic infection becomes very rare in contacts made longer than 6 h before onset of symptoms. The infection transmission is traced as long as about 9 h before the appearance of clear symptoms in the patients, but the incidence rate was as low as about 0.02% of the total contacts in that period.
Background: Corona virus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2, declared as “once-in-a-century” pandemic, has affected about entire human population. Till now, the most promising control strategy is to block the transmission which will never be effective without completely knowing the transmission patterns.Methods: This was a retrospective case to case study aiming to estimate and calculate the transmission rate of COVID-19 through pre-symptomatic and asymptomatic patients. Contact history of included positive cases during the period of 24 hours before appearance of symptoms and infection confirmation for symptomatic and asymptomatic cases respectively was traced for disease transmission. Results: Overall, a total of 201 cases had contacted with 7168 people in last 24 hours with an average of 35.66 contacts per patient ranging from a minimum of 4 to maximum of 87 contacts (Meetings). Out of 7168 meeting persons, the infection was traced in 64 (0.89%) persons. For 155 symptomatic patients, a total of 5611 contacting persons were traced before appearance of symptoms (pre-symptomatic) in last 24 hours with an average of 36.20 meetings per patient. The infection was transmitted in 63 (1.12%) people and remaining 5548 (98.88%) were remained uninfected. Out of the 63 transmissions, 62 (98.4%) were traced within last 6 hours before the onset of symptoms while only 1 was traced from 6-12 hours before symptoms. A total of 1557 persons were traced having meeting/contacts with asymptomatic cases in last 24 hours before their infection confirmation. Out of these 1557 persons, only 1 was found to be infected and the infection rate was calculated to be 0.06%. Conclusion: The study concludes that the risk of pre-symptomatic transmission of infection is low (1.12%) and it becomes very rare in contacts made longer than 6 hours before onset of symptoms. The infection transmission is traced as long as about 9 hours before the appearance of clear symptoms in the patients but the incidence was as low as about 0.02% of the total contacts in that period. Transmission frequency by asymptomatic patients is also rare (0.06%) in the studied population.
Background: Corona virus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, declared as “once-in-a-century” pandemic, has affected about entire human population. Till now, the most promising control strategy is to block the transmission which will never be effective without completely knowing the transmission patterns.Methods: This was a retrospective case to case study aiming to estimate and calculate the transmission rate of COVID-19 through pre-symptomatic and asymptomatic patients. Contact history of included positive cases during the period of 24 hours before appearance of symptoms and infection confirmation for symptomatic and asymptomatic cases respectively was traced for disease transmission. Results: Overall, a total of 201 cases had contacted with 7168 people in last 24 hours with an average of 35.66 contacts per patient ranging from a minimum of 4 to maximum of 87 contacts (Meetings). Out of 7168 meeting persons, the infection was traced in 64 (0.89%) persons. For 155 symptomatic patients, a total of 5611 contacting persons were traced before appearance of symptoms (pre-symptomatic) in last 24 hours with an average of 36.20 meetings per patient. The infection was transmitted in 63 (1.12%) people and remaining 5548 (98.88%) were remained uninfected. Out of the 63 transmissions, 62 (98.4%) were traced within last 6 hours before the onset of symptoms while only 1 was traced from 6-12 hours before symptoms. A total of 1557 persons were traced having meeting/contacts with asymptomatic cases in last 24 hours before their infection confirmation. Out of these 1557 persons, only 1 was found to be infected and the infection rate was calculated to be 0.06%. Conclusion: The study concludes that the risk of pre-symptomatic transmission of infection is low (1.12%) and it becomes very rare in contacts made longer than 6 hours before onset of symptoms. The infection transmission is traced as long as about 9 hours before the appearance of clear symptoms in the patients but the incidence was as low as about 0.02% of the total contacts in that period. Transmission frequency by asymptomatic patients is also rare (0.06%) in the studied population.
Background: COVID-19, a novel disease, appeared in December 2019 in China and rapidly spread across the world. This study aimed to investigate and find out the factors responsible for death of COVID patients by comparing with recovered patients. Methodology: A retrospective, case control study was conducted from August 2020 to October 2020 in three hospitals of Poonch division, AJK. Total 192 patients who have been admitted in a hospital with symptoms of COVID-19 and positive PCR test, including 152 recovered from the infection and 40 died, were enrolled in the study. Data of age, gender, occupation, body weight, temperature, diabetic status, hypertension, cardiovascular disease, lungs disorder, kidney disorder, tuberculosis, cancer and smoking was collected for all patients and entered in a datasheet. Different factors were than compared statistically between recovered and dead patients. Results: Died patients had significantly higher age (P=0.000) and body temperature (P=0.000) as compared to recovered patients. Heart disorder, lungs disorder, older age, diabetes and hypertension were found to be significant risk factors of the death in COVID-90 patients. Mortality rate was found to be significantly higher in patients with heart disorder (P=0.000; OR=5.07), lungs disorder (P=0.000; OR=4.0), older age (P=0.000; OR=3.44), diabetes (P=0.001; OR=2.49) and hypertension (P=0.024; OR=1.84) as compared to the COVID-19 patients without these factors. Mortality rate was also higher for the patients with smoking and some kidney disorder but not significant (P=0.170 and 0.191 respectively). Among the died patients, 39 (97.5%) had 1 (2.5%) or more than one of the risk factors were present while 1 patient had no obvious risk factor.Conclusion: The study concludes that heart disorder, lungs disorder, older age, diabetes and hypertension are significant risk factors of the death in COVID-90 patients. More the risk factors accumulate in a person, higher will be the risk of death.
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