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1.
Lung India ; 40(2): 123-127, 2023.
Article in English | MEDLINE | ID: covidwho-2277981

ABSTRACT

Background and Aims: There is an increasing recognition of reinfection in coronavirus disease 2019 (COVID-19). We studied the reinfection of COVID-19 disease among doctors at a tertiary care centre in Northern India. Methods: All COVID-19 patients readmitted for COVID-19 disease after any duration with at least a positive Real time- polymerase chain reaction (RT-PCR) for severe acute respiratory syndrome coronavirus 2 were included. Their clinical profile, vaccination status, outcome and Centre for disease control (CDC), Atlanta, USA reinfection criteria screening were recorded. Results: A total of 57 (0.53%) doctors were identified and 56 of them satisfied the CDC criteria. It included 13 (20.3%) females and 89.3% of cases were from clinical specialities; 98.2% of individuals had the first infection in 2020 and mean duration between 2 infections was 156.29 ± 76.02 (35-298) days. Duration between two episodes of the disease with more than 90 days apart was in 80.3% cases. One (1.8%) patient developed severe disease and two (3.6%) cases were of moderate severity. Symptoms were similar in both infections except significantly higher number of extra-respiratory complaints (2.2% vs. 9.1%). There were 37.5% cases who had received first dose of vaccination of any duration at the time of second infection. Nine (16.1%) and four (7.1%) patients with more than 4 weeks after the first and second dose of vaccination developed the second infection, respectively. Conclusion: Majority of reinfection were symptomatic and developed after 90 days and so majority followed CDC criteria. Breakthrough infections among vaccinated healthcare worker are real, and with sustained exposure to the virus, they should continue to use precaution including hand hygiene and mask in order to prevent reinfection.

2.
Cureus ; 14(10): e30937, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-2155764

ABSTRACT

Background The coronavirus disease 2019 (COVID-19) pandemic created an aberrant challenge for healthcare delivery systems, forcing public health policies across the globe to be shifted from traditional medical care in hospitals to virtual care in the homes of patients. To tackle this pandemic, telemedicine had taken center stage. This study aims to learn about patient satisfaction, feasibility, and acceptability of the use of telemedicine for clinical encounters during the COVID-19 pandemic. Methodology This single-center, cross-sectional, observational study was done on a total of 758 patients who were provided with teleconsultations during the COVID-19 pandemic. We developed a 49-item questionnaire consisting of patients' quality of consultation and patients' expectations to evaluate the feasibility, acceptability, and patient satisfaction with their telemedicine consultations. Results The majority of survey participants (97.1%) expressed satisfaction with the quality of the consultations provided through telemedicine. A large percentage of participants (96.8%) reported the benefits of teleconsultation in treating their problems. Overall, 93.3% of participants responded positively to the continuation of teleconsultation services after the pandemic. Conclusions The study revealed a wide extent of satisfaction among patients. The feasibility and acceptability of telemedicine services have transformed the mode of healthcare delivery systems.

3.
Clinical Epidemiology and Global Health ; : 101044, 2022.
Article in English | ScienceDirect | ID: covidwho-1783224

ABSTRACT

Introduction Newer coexisting conditions should be identified in order to modify newer risk factors. Aim was to identify patients with non-classical or less common coexisting conditions in patients infected of COVID 19. Method Single centred study from June 2020 to May 2021 at a tertiary centre in North India. A preformed questionnaire was used to record clinical and laboratory parameters and to identify cases which are in addition to CDC list and Indian data. Results 0.67% (46) cases out of 6832 patients were identified to have non-classical coexisting illness. It was divided into 2 groups-infections A (60.1%) and non-infections B (39.9%). Group A included-tuberculosis- pulmonary (14.3%) & extra pulmonary (32.9%), bacterial (25.0%) viral infections [dengue, hepatitis B & C] (14.3%), HIV disease (10.7%) and malaria (3.6%). Group B included- organ transplant (27.8%), autoimmune [myasthenia gravis, polymyositis, psoriasis] (22.6%), haematologic [Haemophilia, ITP, Aplastic anaemia, APML, CML] (27.8%), uncommon malignancies [disseminated sacral chordoma and GTN] (11.1%) and snakebite (11.1%). Serum Procalcitonin was not helpful for diagnosis of bacterial infection in COVID-19 disease. Group A had significantly longer duration of illness, hepatitis and elevated CRP. The mortality in group A & B were 32.1% and 43.8% respectively. Death in non-severe COVID cases was in tetanus and snakebite. 30.7% death among tuberculosis patients. More than 70% of deaths were attributable to COVID 19 in both the groups. Conclusion In Indian settings, comorbidities like tuberculosis and bacterial infections can precipitate severe COVID 19 unlike other parts of the world where tuberculosis is relatively uncommon.

4.
Turkish Journal of Computer and Mathematics Education ; 12(10):3402-3413, 2021.
Article in English | ProQuest Central | ID: covidwho-1679102

ABSTRACT

: Pandemics are the imminent health challenges for consumers whereby fear and panic are integral human responses historically. Panic behavior during pandemic is an expected response that threatens the ability to cope and destroy the existing balance in life. Consumers develop much-unexplained behavior which differs from region to region, culture to culture. Panic buying / increased buying behavior has been observed during public health emergencies since the ancient period. However, the exact psychological explanation responsible for it has not been sought systematically. Therefore, the study is to intend a thrust to identify the possible psychological explanations behind the consumer buying behavior during pandemics. A perception of scarcity is strongly linked with the consumer buying behavior during pandemics, and collecting & saving behaviors increases if the scarcity develops for the immediate necessaries. It also creates a feeling of insecurity which in turn activates another mechanism to collect things. Panic buying also has been linked with perceived feelings of insecurity and instability of certain situations. Furthermore, supply disruption, a condition where normal product supply in the supply chain is interrupted, has been frequently observed during a disaster or other unwanted calamities. This also led to a feeling of insecurity. The obiective of study is to analyze how pandemic affects consumer buying patterns and sentiments.

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