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The long-standing style of care known as cardiac rehabilitation (CR) may have been created to lessen the significant burden of cardiovascular diseases (CVD) on people all over the world. In Post COVID era, maintenance of cardiac health in COVID affected patients has been received much attention. Cardiac rehabilitation (CR) may be a sophisticated intervention with multiple components which can provide support in developing health cardiovascular system. The calibre of CR services can vary greatly and have an impact on the extent of patient benefit. The research has demonstrated that cardiac rehabilitation improves quality of life and reduces clinical psychological distress (DSM sadness and anxiety) (QoL). Subclinical discomfort and psychological well-being also demonstrated pertinent clinical implications in cardiac situations. Cardiac rehabilitation could also be an economical. According to studies, the benefits of CR are effective for patients with a variety of cardiac conditions, such as those who have undergone myocardial infarction (MI), coronary artery bypass surgery, stable angina, stable chronic heart failure, heart valve replacement, percutaneous coronary treatments, heart transplantation, cardiac arrhythmias, or severe arterial hypertension. As CR, and in several contexts "pre-habilitation," are in increased demand, a chronic disability management programme is being given more commonly in home and community settings. As a result of the COVID-19 pandemic's new requirements, the employment of distant, personalised solutions within this delivery paradigm is currently changing.
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Introduction: Covid-19 pandemic has raised queries regarding implications for breastfeeding (BF). Data are limited and recommendations for initial days after birth differ. Parents count on paediatricians for optimal information about feeding their infants, especially when the mother is infected. Objectives: To estimate knowledge of paediatricians about BF in suspected or confirmed maternal cases of Covid-19, its association with demographic variables, and participants' opinions about factors influencing their guidance to parents regarding infant nutrition in Covid-19 infected mothers. Method: This was a prospective cross-sectional study based on an online questionnaire administered to paediatricians in Uttar Pradesh, India, from February to March 2021. A total of 389 paediatricians participated. Knowledge questions were based on the World Health Organization guidance on BF for Covid-19. Results: Among the 389 participants, 44.5% had adequate knowledge, 38.3% had average knowledge, and 17.2% had inadequate knowledge;96.4% paediatricians preferred mothers' milk for infants with Covid-19 infected mothers. Fear of transmission of infection to infant was the major restraint, while the low risk of transmission to the infant if infection prevention and control practices were followed was the most useful factor perceived while counselling an infected mother for BF.Conclusions: Knowledge of paediatricians about BF in suspected or confirmed maternal cases of Covid-19 was adequate in 44.5%, average in 38.3% and inadequate in 17.2%. Majority (96.4%) of paediatricians favoured BF in maternal Covid-19 cases. © 2022,Sri Lanka Journal of Child Health. All Rights Reserved.
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The demand for personal hygiene products has increased during COVID-19 pandemic outbreaks. It has resulted in the increasing production of hygiene products. During the coronavirus epidemic, globalised and uncertain demand for personal hygiene products creates complicated situations for the manufacturing firms. This article explores the fuzzy model of economic production for hygiene products with uncertainty in demand and production. Due to the rising demand for hygiene products, the demand rate has been set as a linear time function, while the production rate has been taken directly proportional to the rate of demand. Therefore, due to ambiguity or vagueness in demand, this proposed model has considered the triangular fuzzy number with an upper and lower split. The weighted sum method has turned the multi-objective problem into a single objective. The optimisation technique was used to minimise the producer's overall cost under the condition mentioned earlier, and the model is validated numerically. © 2022 Inderscience Enterprises Ltd.
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Due to the Covid-19 pandemic, hospitality industry witnessed a massive decline in their revenues. In our research we realized that one of the most effective ways to aid customer retention and boost the revenue of this Our research shows that currently the data analysts in this industry only use the traditional tools for predictive analysis, offering from a limited range of offers that lack customization as per user purchase history. Hence, we put forward a proof of concept for a tool where we make a machine learning model that learns from the historic data of each restaurant, including customer segments and coupon parameters, and predicts the probability of a coupon to work on a specific sub-category of customers. This would thereby increase the chances of transaction and thus boost the revenue. We worked with several classification algorithms, like Logistic Regression, AdaBoost, Random Forest, Gradient Boosting, and realized that Random Forest Classifier was producing the best results. Thus we selected it for building our model. As a result, we have built a web-based tool that can be used by Analysts or the business person themselves, to find out what coupon offers would best suit a particular subset of customers. This would help them make better business decisions, gain more customer traction and retention, and consequently boost their revenue. © 2022 IEEE.
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Background: Despite several scientific efforts against COVID 19, conundrum of biomolecular deterioration in Post COVID syndrome patients are still in dark at an unprecedented scale globally and affected the patient's health multidimensionally. It is conceivable that patients recovered from COVID-19 after second wave are at enhanced risk of secondary complications.Aim: The present study was carried out to estimate the serum vitamin D and total antioxidant activity (TAC) along with markers of oxi-inflammatory stress in post COVID patients diagnosed RT-PCR negative after second wave of COVID-19 and to determine their role in predicting secondary complications.Methodology: 50 subjects (30-55 years) of Delhi-NCR region were recruited and categorized into two groups (n=25 in each group;on the basis of their history of COVID infection). By using standard methods, study group parameters were estimated in Post COVID patients and statistically compared it with that of 25 non affected healthy controls by using student's t-test.Result: Serum CRP, TNF-alpha, MDA and uric acid levels were significantly high (p<0.05) in Post COVID patients as compared to healthy controls. Conversely, serum vitamin D and TAC levels along with SOD activities were found to be significantly low (P<0.001) in Post COVID patients as compared healthy controls. However, ceruloplasmin level was altered insignificantly (p<0.1) with respect to Group I subjects. Vitamin D levels were positively correlated with TAC and SOD activity (P<0.001) and negatively correlated with MDA, CRP, TNF-alpha and uric acid levels in post COVID patients.Conclusion: Therefore, the present study emphasizes the dire need of special attention to Post COVID population by providing vitamin D supplementation, antioxidant and mineral rich diet along with adoption of regular aerobic exercise not only to rejuvenate the biomolecular homeostasis but also to reduce oxi-inflammatory stress mediated future complications.
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Aim: To study extrapulmonary manifestations in COVID-19 patients. Material and methods: The present retrospective study was conducted among 200 COVID positive patients in the department of medicine, CSS Hospital, Subharti Medical College, Meerut. COVID-19 was diagnosed on the basis of the WHO interim guidance. Patients' diagnosis was identified along with the co-morbidity (if present). Laboratory investigations comprised of CBC and serum albumin detection. Extrapulmonary manifestations were defined as patients having predominantly neurological, gastrointestinal (GI), cardiovascular, cutaneous, and uncommon respiratory symptom such as hemoptysis either concomitant with typical respiratory symptoms or as the sole manifestation. Results: Fever was most frequent complain (n=97, 48.5%), followed by cough (n=76, 38%) and dyspnea was present in 51 subjects (25.5%). The most common respiratory symptoms was dyspnea (n=64, 32%). The most common cardiovascular symptoms was Dyspnea on exertion (n=54, 27%), followed by Palpitations (n=29, 14.5%). The most common GIT Symptoms was diarrhea (n=34, 17%), followed by Vomiting (n=13, 6.5%) and only 8 subjects (4%) reported abdominal pain. Dermatological symptoms were shown in 5 (2.5%) subjects. The most common musculoskeletal Symptoms was fatigue (n=103, 51.5%), followed by Myalgias (n=11, 5.5%) and Joint/Back Pain (n=4, 2%). Conclusion: Patients with COVID-19 require long-term follow-up even after recovery for observation and management of their post-COVID ailments. During the ongoing COVID-19pandemic, most health facilities are overloaded. Hence, arranging follow-up for patients can be a challenge. Therefore, a comprehensive rehabilitation program is essential for such patients during hospitalization and discharge.
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Background: Pieces of clinical evidence suggest that coronavirus disease-2019 (COVID-19) viral infection results in hormonal imbalance leading to changes in menstrual cycles of women. This study has been conducted with the aim to determine the effect of COVID-19 infection and its vaccine on menstrual cycle patterns. Materials and methods: This was a cross-sectional study to observe any changes in menstrual cycle after COVID-19 infection or after its vaccination. A Web Link collector generated the survey‘s universal resource locator (URL) and was sent via social media messages to females in the general population as well as healthcare workers. Results: Menstrual cycles remained unaltered in 154/228 (67.5%) of women post-COVID-19 infection irrespective of its severity. Out of 228, one-third of women, i.e., 74/228 (33%), reported changes in their menstrual patterns, with respect to either cycle length, duration of flow, number of pads used, pain during menses, or premenstrual symptoms (PMSs). Menstrual blood loss was decreased by 14% (32/228) and 18%;42 women complained of increased flow during menses. Twenty percent of women who had severe infections had menorrhagia. Out of the 590 women who completed the questionnaire, 436 (73.8%) were vaccinated against COVID-19 and 154 (26%) were unvaccinated. After vaccination, 290/436 around one-third of women (66.5%) had normal menstrual cycle, 21 women (4.8%) had decreased menstrual blood flow, and 18 women (4.1%) reported increased menstrual flow. Conclusion: COVID-19 infection affected the menstrual cycle of only one-third of women and this effect was temporary. This effect might be due to stress and anxiety affecting the hypothalamic-pituitary axis (HPA). More studies are needed to support this effect.
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Importance: Given the high mortality and cost of health care, especially in isolation settings, the idea of using nebulized hydrogen peroxide may play a very significant role in inactivation of coronavirus, thus reducing the infectivity period leading to reduced requirement of isolation and improving morbidity and mortality in people suffering with coronavirus disease-2019 (COVID-2019). Aim and objective: Objective of this study was to determine the efficiency of nebulized hydrogen peroxide (H2O2) in reducing the viral load and disease severity of patients suffering with COVID-19. Design: Double-blinded randomized control trial. HOPE in COVID-19 study. Setting: Tertiary care COVID hospital (single center). Participants: Moderate sick COVID-19-positive patients were included in the study after they qualified the inclusion criteria. Intervention: Patients were nebulized using 1 mL of ozonized 3% H2O2 after diluting with 4 mL of normal saline three times a day for 5 days. The control group was nebulized with normal saline only. Main outcome: Outcome was assessed for reduction in oxygen requirement (number of days on oxygen), symptoms resolution (dyspnea, cough, and fever), and number of days it took to be RT-PCR negative for COVID-19. Results: The early data from trial showed promising trends toward a better outcome. The study showed that in the case group who were nebulized with hydrogen peroxide resulted in better outcome in terms of parameters assessed in the study and the differences from the control group were statistically significant (p ≤0.001, CI 95%). Outcome in the form of mortality (odds ratio 0.29, 95% CI 0.02–3.14, p = 0.31, z = 1.007) was statistically insignificant. The number needed to treat for our study was 10.
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Introduction: Corticosteroids have shown controversial results in severe infections. Limited data is available to prove the efficacy of this drug against Coronavirus Disease 2019 (COVID19) infection. Such studies have highlighted that steroids such as dexamethasone can be effective against the patients who are exhibiting severe symptoms of COVID-19. Aim: To determine the effectiveness of dexamethasone as adjunct drug in treatment of in critical COVID-19 patients. Materials and Methods: This observational single cohort study was conducted on all COVID-19 positive patients admitted to the tertiary care hospital, Sri Guru Ram Das Institute of Medical Sciences and Research, Amritsar, Punjab, India during August 2020 to October 2020. Critically ill patients suffering from COVID-19 receiving 6 mg dexamethasone along with standard treatment protocol as prescribed by the Indian Council of Medical Research (ICMR) were included in this study. Serum interleukin-6, D-dimer, ferritin, levels along with CT values from RT-PCR of nasopharyngeal and oropharyngeal swab were recorded on the day of admission and after 7 days of dexamethasone therapy along with standard treatment protocol of ICMR. The data was analysed using descriptive statistics and paired-t test. Results: There were 22 males and 28 females enrolled in the study with mean age of males as 55 years and mean age of females as 56 years. The mean weight of males was 68.4 kg, while the mean weight of females was 59.8 kg. Statistically significant decrease in serum levels of interleukin-6, D-dimer, and ferritin after 7 days of dexamethasone treatment along with standard treatment protocol of ICMR was observed. The results were found to be significantly different with p-values=0.001, 0.003 and 0.002, respectively. Conclusion: Dexamethasone, as an adjunct drug, is an important corticosteroid that is efficient in countering the inflammatory response generated in COVID-19 patients along with standard treatment protocol of ICMR. It reduces the inflammatory markers in patients suffering from COVID-19.
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Machine learning (ML) is an application of artificial intelligence (AI) and through ML, the system gets the capability of learning by refining from experience. Whereas deep learning, machine learning’s subsection is based on artificial neural network. Its customs multiple layers to excerpt higher level features from raw input. In the paper machine learning algorithm—polynomial regression and deep learning model—convolutional neural network is used for state-wise analysis and prediction of Covid-19 in India. Covid-19 started from Wuhan from December 2019. From that day till now, coronavirus has increased exponentially and has affected large number of human populations throughout the world. By March 2019, it was avowed as pandemic by World Health Organization (WHO). Clinical Doctors and Scholars have been working 24 h, day and night since then to test the coronavirus infected patients and to develop vaccine to cure the disease. This paper attempts to build up a model that can help in prediction of total active cases in the states of India so that doctors can take some preventive measures to save more human lives and also so that vaccine could be provided as early as possible to the state that is most infected and will be most infected in future. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Background: In April and May 2021, India faced massive second wave of COVID-19 pandemic and then became the hotspots of mucormycosis across globe. Hence, we planned the first analysis of mucormycosis in Uttar Pradesh. Aim and Objectives: coThe objectives were to explore the epidemiology, vaccination status, clinical features, microbiological findings, treatment of mucormycosis and outcome. Material and Methods: This was an observational study of mucormycosis at tertiary care centre of Agra, Uttar Pradesh, India from 20 May 2021 to 15 July 2021. Results: 98 patients’ data with mucormycosis was analyzed. Patients had median age of 55 years. COVID-19 infection was present in 69.4% of participants and diabetes mellitus was present as underlying co-morbid condition in more than 85% of patients. 91.8 % of cases were unvaccinated with steroid consumption in almost 60% of patients. R. arrhizus was among the most common agent while we found less commonly reported fungi like R.homothallicus, Apophysomyces, Cunninghamella. 41.8% of cases were successfully treated and 16.3% of cases expired. Conclusion: Diabetes mellitus was labeled as major predisposing factor and most patients were unvaccinated. Awareness about fungal infections, rigorous monitoring of chronic diseases, judicious use of drugs, early diagnosis and prompt treatment is decisive for better outcome. © 2021, Indian Association of Preventive and Social Medicine. All rights reserved.
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Introduction: In the fight against COVID-19, doctors, nurses, administrative staff, police personnel and other supporting staff have been in the frontline providing emergency services. While performing their duties, they are at risk of getting infections and transmitting them to their near and dear ones. This can lead to increased psychological stress levels among them. This study was conducted to assess the level of stress among health care workers and police personnel during the COVID-19 pandemic period in Delhi. Methodology: This is a cross-sectional study among the COVID-19 warriors working in designated COVID-19 hospitals using Google forms. The relationship between various social, demographic, and administrative factors and the level of stress experienced by the study subjects was assessed using Perceptive Stress Scale (PSS-10). Results: The results describe heightened severity of perception of stress among the study cohort. We found at least 10 risk factors that showed statistically significant association with increased TPSS in the studied cohort group. Conclusion: There is an urgent need for screening, proper diagnosis, and management of psychiatric issues among FLCWs, and for expanding mental health services for reducing stress among the target population. © 2021 Indian Society for Malaria and Communicable Diseases. All rights reserved.
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Objective: The objective of this study is to assess adverse drug reaction (ADR) profile of the drugs prescribed to treat Coronavirus Disease (COVID-19) positive patients and to determine whether ADRs are associated with any comorbidities. Methods: A cross-sectional study was done with Laboratory confirmed COVID-19 positive patients who experienced ADRs during their admission period at tertiary care center, Rajkot from April 2020 to March 2021. All the necessary information including ADRs information was obtained from patient's case record file and filled in suspected ADR reporting form. Suspected ADRs were assessed for demographic parameters and causality, preventability, and severity using World Health Organization (WHO) scale and Naranjo algorithm, modified Schumock and Thornton's criteria, and modified Hartwig's criteria, respectively. Results: Out of the 100 patients there were 60 males. The mean age of the patients was 52.65±13.95 year. Fourty-six patients had comorbidities. The most common type of ADR was GI disorders. Among the single suspected medication, most common drug was methylprednisolone and among the two drugs, azithromycin was common. According to the WHO and Naranjo scale, Probable ADRs were 70% and 36%, respectively. The percentage for mild, moderate and severe ADRs were 44%, 39%, 17%, respectively. Eighty-six percent ADRs were definitely preventable. Fifty-one patients were recovered from adverse reactions. Conclusions: Seriousness of reactions is mainly associated with co-morbid conditions. This indicates that patients with comorbidity should be closely monitored to avoid harmful consequences. These ADRs monitoring and reporting program will help physicians to choose their therapy sensibly and decrease chances of mortality in this pandemic era.
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Background & Objective: Proper mask wearing reduces the transmissibility and risk of Covid-19 infection still compliance to mask use is low. This study was conducted to observe the mask usage pattern, perception and barriers to effective mask usage (EMU). Settings and Design: This cross-sectional study was conducted in collaboration with district police administration to observe mask usage pattern in various crowded places. Methods and Material: Participants from general public (n=6995) in 10 preselected areas of city were observed and then interviewed about their perceptions about EMU. Indirect observation of EMU was also done by screening CCTV footage, followed by another set of observation at same places after conducting a health education campaign. Data was entered in Microsoft excel and analyzed using SPSS. P value <0.05 was considered significant. Results: EMU was seen in nearly 62% participants. Younger age, native population, education above matric, persons driving two & four wheelers, had significantly higher compliance. During CCTV observation, EMU was 57.5%, and was highest near public places, roads and intersections while lowest near bus stand and religious places. Some improvement in compliance was seen after health education at these places. Breathing difficulty, no use of wearing mask and feeling uncomfortable were the most common reasons given by participants for non-compliance. Conclusions: EMU was lower in elderly, migrants, less educated, unemployed, daily wage workers, so these groups should be especially sensitized about preventive measures. There is need for extensive public education to bring out behavioral change regarding proper mask wearing to control this pandemic and prevent further waves. © 2021, Indian Association of Preventive and Social Medicine. All rights reserved.
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Introduction: In pre-COVID era, telemedicine was not widely accepted for patient care and management. In COVID-19 pandemic, due to strict social distancing and various government guidelines laid down for patient management and care, it has been widely accepted.
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BACKGROUND AND AIMS: When the world was frantically searching for a drug effective against the coronavirus disease (COVID)-19, remdesivir, a broad-spectrum anti-viral medication, became a part of the COVID treatment. We planned a study to evaluate improvement in clinical outcomes with remdesivir treatment for five days. METHODS: Participants more than 40-years old and with moderate to severe COVID-19 but not on mechanical ventilation were randomly assigned into two groups-remdesivir group (34 cases) to receive the study drug intravenous (IV) remdesivir for five days plus the standard care (SC) and non-remdesivir group (36 cases) to receive the SC but not to receive the study drug. Follow-up was continued for 12 days after the beginning of treatment or until discharge/death. Patient's clinical status was assessed by laboratory investigations and physical examination (from day 1 to day 12 on a 4-point ordinal scale and from day 12 to 24 on a 6-point ordinal scale). Oxygen support requirements and adverse events were recorded. The data were entered and analysed using Statistical Package for the Social Sciences (SPSS) version 22.0. RESULTS: High-flow oxygen support and non-invasive ventilation was required at baseline by lesser patients in the remdesivir group. In the end, both groups had similar outcomes after adjustment for baseline clinical status. There was no statistical difference in mortality between the two groups (p = 0.749). Patients in both groups had an equal time to recovery. There was no difference in the occurrence of adverse effects of remdesivir between the two groups. CONCLUSION: Remdesivir therapy for five days did not produce improvement in clinical outcomes in moderate to severe COVID-19 cases.
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Introduction The Coronavirus pandemic (COVID-19) has led to drastic change in gastrointestinal (GI) endoscopy practice. Endoscopy is an aerosol-generating procedure. COVID-19 testing prior to endoscopy can reduce transmission by delaying non-emergency endoscopies in positive patients. There is scarcity of literature to support such protocols. We aimed to study the clinical impact of universal testing for COVID-19 before therapeutic endoscopy. Methods This is retrospective analysis of prospectively maintained data. All patients requiring therapeutic endoscopy were enrolled between June 15 to July 15, 2020. Clinical profile, indication, endoscopic intervention, and outcome of patients tested positive for COVID-19 real-time polymerase chain reaction (RT PCR) or CT chest suggestive of CO-RADS 3 or more were included for analysis. Results Out of 772 patients scheduled for endoscopic interventions, 26 (3.34%) patients had COVID-19 infection with mean age (range) of 48.19 (3-75) years. Eight (30.8%) were females. Of them, seven (26.9%) patients underwent emergency endoscopy, and another seven (26.9%) patients underwent endoscopy after minimum of 2 weeks waiting period. Two deaths were seen in patients who underwent emergency interventions which were unrelated to endoscopy. One patient, who was planned for endoscopic ultrasound (EUS) for choledocholithiasis, developed acute biliary pancreatitis in the waiting period. Conclusion We suggest use of universal testing for COVID-19 by RT-PCR before endoscopic intervention. Endoscopy can be postponed for 2 weeks with marginal risk of adverse events during the waiting period in nonemergency indications. However, this approach needs to be tailored as per local needs, resources availability, and indication of endoscopy.
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Background: COVID-19 pandemic is stressing the already burdened healthcare systems all over the world. To prevent infrastructure from getting overwhelmed, it is required that infection prevention practices are followed by everyone. Objectives: To assess whether a knowledge gap exists in the correct use of face masks, attitude, and practices of participants in wearing a face mask to limit the spread of COVID-19. Materials and methods: Faculty, medical officers, and postgraduate trainees working in SN Medical College, Agra, were invited to participate in this survey. All participants were asked to complete a self-administered closed-ended questionnaire about their knowledge, attitudes, and practices regarding the use of face masks. Data were analyzed using descriptive statistics. Quality improvement intervention was done. Results: Among the 136 respondents, 73.5% knew the correct steps in wearing a face mask, and their attitudes toward face masks were strongly positive. Further analyses showed that respondents were equally likely to wear a face mask at hospital or at non-hospital places. Moreover, two-thirds respondents reported to have some problems while wearing a mask. Conclusion: Studied subjects had a positive attitude but poor level of knowledge and good practices regarding the use of surgical face mask. Awareness campaigns regarding the proper use of face mask by utilizing all forms of available media and resources would be helpful during this pandemic. © The Author(s). 2020.
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We evaluated seismic background noise at national network in India using PSD, Fourier spectra, Spectrogram, and HVSR approach, before and during the nationwide lockdown declared due to COVID-19 pandemic. The analyses were performed to understand characteristics of noise wave-field in such unprecedented situation and its effect on site response at the station. SBN in long period (> 20 s), primary microseism band (10–20 s) and secondary microseisms (1–10 s) performed well and the noise levels found within the new LNM and HNM. However, in short period (< 1 s) the variation in SBN performance found significant before and during the lockdown. We observed that the SBN at each site in short period (< 1 s) is found to be about 10–12 dB noisier in the time segment prior to the lockdown. The HVSR analysis of SBN at recording sites clearly indicates that the predominant frequency for the entire region remains stable and independent of seismic noise generated before or during lockdown. A substantial variation in amplification factor, however, observed in either situation. Most of the stations across the country experienced diminished cultural noise subsequent to declaration of lockdown on 25 March 2020. Such drastic decrease in cultural noise significantly enhanced the performance of noisy stations, and the best recording stations picked the seismic phases originated from micro to small earthquakes. We suggest installation of seismometers at some depth below the surface, particularly at disturbed sites, may substantially reduce short period noise in earthquake recording. © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
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An earthquake of small magnitude (M(L)3.5) occurred on 12 April 2020 near the east district boundary of NCT, Delhi with maximum PGA for the event observed to be 14.13 gals. A few smaller aftershocks also occurred in the area. The estimated fault plane solution of the mainshock suggests normal faulting with some strike slip component. The focal mechanism corroborates with the NE - SW orienting lineaments mapped in the region near the epicenter. The source parameters of the event, namely, seismic moment, stress drop, corner frequency, and source radius are estimated to be 1.15 x 1014 N-m, 25.7 bars, 5.7 Hz and 300 m, respectively. The decay rate of acceleration with epicentral distance suggests a regression relation PGA = 474 D -1.347, which may be useful for understanding the ground motion in the region. A noise analyses at NDI rock and UJWA soil sites clearly suggest a significant reduction in ambient noise by similar to 10 dB in the frequency band (1.0-10.0) Hz at the respective sites, during the COVID-19 lockdown situation. The reductions of the noise level improve the signal to noise ratio substantially at all the seismic stations located in the urban agglomerations, which enabled the recording of clear phases of the event and hence improved the analysis.