Project description:ObjectiveThe coronavirus disease (COVID-19) pandemic is a disaster of unprecedented proportions with global repercussions. Psychological preparedness, the primed cognitive awareness and anticipation of dealing with emotional responses in an adverse situation, has assumed a compelling relevance during a health disaster of this magnitude.MethodsAn anonymized eSurvey was conducted in India to assess psychological preparedness toward the ongoing pandemic with a focus on knowledge, management of own and others' emotional response, and anticipatory coping mechanisms among the survey population. An adapted version of the qualitative Psychological Preparedness for Natural Disaster Scale validated by the World Health Organization was widely circulated over the Internet and various social media platforms for assessment. Results are expressed as median ± standard deviation. Descriptive statistics were used and figures downloaded from surveymonkey.com.ResultsOf the 1120 respondents (M:F 1.7:1, age 35 years ±14.1), most expressed a high level of perceived knowledge and confidence of managing COVID-19, such as awareness of the symptoms of the illness (95.1%), actions needed (94.4%), hospital to report to (88.9%), and emergency contact number (89.1%). A majority (95%) monitored regularly the news bulletins and scientific journals regarding COVID-19. However, nearly one-third (29.2%) could not assess their likelihood of developing COVID-19, and 17.5% were unaware of the difference between a mild and severe infection. Twenty-three percent (23.3%) were unfamiliar with the materials needed in an acute illness situation.ConclusionPsychological disaster preparedness is reasonable, although lacking in specific domains. Timely but focused interventions can be a cost-efficient administrative exercise, which federal agencies may prioritize working on.
Project description:BackgroundEfficient control and management in the ongoing COVID-19 pandemic needs to carefully balance economical and realizable interventions. Simulation models can play a cardinal role in forecasting possible scenarios to sustain decision support.MethodsWe present a sophisticated extension of a classical SEIR model. The simulation tool CovidSIM Version 1.0 is an openly accessible web interface to interactively conduct simulations of this model. The simulation tool is used to assess the effects of various interventions, assuming parameters that reflect the situation in Austria as an example.ResultsStrict contact reduction including isolation of infected persons in quarantine wards and at home can substantially delay the peak of the epidemic. Home isolation of infected individuals effectively reduces the height of the peak. Contact reduction by social distancing, e.g., by curfews, sanitary behavior, etc. are also effective in delaying the epidemic peak.ConclusionsContact-reducing mechanisms are efficient to delay the peak of the epidemic. They might also be effective in decreasing the peak number of infections depending on seasonal fluctuations in the transmissibility of the disease.
Project description:BackgroundCommunity pharmacies provide an important healthcare service, which is broadly established, and constitutes the preferred and initial contact for members of the community. The significant value of community pharmacies was further highlighted during the COVID-19 pandemic crisis.ObjectiveThe assessment of community pharmacies preparedness for the COVID-19 pandemic.MethodsA cross-sectional interview survey of 1018 community pharmacies working in four regions of Egypt (South, East, Centre, and North). Data collection was conducted from 8-19 April 2020.ResultsAvailability of personal protective equipment (PPE) and medication was better than alcohol (70% conc.). Home delivery services were available in 49.1% of pharmacies. Infection control measures covering interactions between staff were in place in up to 99.5% of pharmacies. Conversely, there was less frequent availability of contactless payment (29.1%), hand sanitizers (62.1%) or masks (86.5%) for customer use, or a separate area for patients with suspected COVID-19 (64%). Verbal customer education (90.4%) was used preferably to written (81.3%). Despite high clinical knowledge and awareness (97.6%-99.2%), only 8.8% of pharmacists had reported suspected COVID-19 cases, however this varied significantly with pharmacist demographics (geographic region P < 0.001; pandemic training p < 0.001; position p = 0.019; age p = 0.046).ConclusionsGovernment and policymakers strive to mitigate the shortage of PPE and medication. More attention should be given to infection control measures around interactions between staff and customers to ensure community pharmacists are fit and able to provide continuity in their important role. Educating customers using regularly-updated posters, banners or signs will contribute to decreasing contact with patients, and reducing the number and duration of visits to the pharmacy. Pandemic preparedness of community pharmacists must also extend to reporting procedures. By avoiding under-reporting or over-reporting, community pharmacists will contribute to accurate monitoring of the national spread of infection.
Project description:Background: The COVID-19 pandemic has placed increased demands on clinical staff in primary dental care due to a variety of uncertainties. Current reports on staff responses have tended to be brief enquiries without some theoretical explanation supported by developed measurement systems. Aim: To investigate features of health and well-being as an outcome of the uncertainties surrounding COVID-19 for dentists and dental health professionals in primary dental care and for those in training. In addition, the study examined the well-being indices with reference to normative values. Finally a theoretical model was explored to explain depressive symptoms and investigate its generalisability across dentists and dental health professionals in primary dental care and those in postgraduate training. Methods: A cross-sectional survey of dental trainees and primary dental care staff in Scotland was conducted in June to October 2020. Assessment was through "Portal," an online tool used for course bookings/management administered by NHS Education for Scotland. A non-probability convenience sample was employed to recruit participants. The questionnaire consisted of four multi-item scales including: preparedness (14 items of the DPPPS), burnout (the 9 item emotional exhaustion subscale and 5 items of the depersonalisation subscale of the MBI), the 22 item Impact of Event Scale-Revised, and depressive symptomatology using the Patient Health Questionnaire-2. Analysis was performed to compare the levels of these assessments between trainees and primary dental care staff and a theoretically based path model to explain depressive symptomology, utilising structural equation modelling. Results: Approximately, 27% of all 329 respondents reported significant depressive symptomology and 55% of primary care staff rated themselves as emotionally exhausted. Primary care staff (n = 218) felt less prepared for managing their health, coping with uncertainty and financial insecurity compared with their trainee (n = 111) counterparts (all p's < 0.05). Depressive symptomology was rated higher than reported community samples (p < 0.05) The overall fit of the raw data applied to the theoretical model confirmed that preparedness (negative association) and trauma associated with COVID-19 (positive association) were significant factors predicting lowered mood (chi-square = 46.7, df = 21, p = 0.001; CFI = 0.98, RMSEA = 0.06, SRMR = 0.03). Burnout was indirectly implicated and a major path from trauma to burnout was found to be significant in primary care staff but absent in trainees (p < 0.002). Conclusion: These initial findings demonstrate the possible benefit of resourcing staff support and interventions to assist dental staff to prepare during periods of high uncertainty resulting from the recent COVID-19 pandemic.
Project description:ObjectivesEffective implementation of prevention and control actions by health professionals is substantial to contain the deadly COVID-19 pandemic. Thus, this study aimed to assess health care worker's practice of using personal protective equipment and psychological preparedness against the COVID-19 pandemic in Eastern Ethiopia.MethodsA facility-based cross-sectional study design was used. The health care workers (HCW) who were working in the selected health facilities were randomly selected. Variables that had p-value of < 0.15 were transformed to multivariable logistic regression model. Finally, the significance level was declared at the p-value < 0.05 with a 95% confidence interval (CI).ResultsA total of 418 HCWs were randomly selected and included in this study. The study participants mean age was 27.96 years with a ±5.6SD. HCWs who were male (adjusted odds ratio(AOR) = 2.21, 95% CI: 1.29-3.79), regularly using sanitizer, accessing COVID-19 management guideline (AOR = 2.83, 95% CI: 1.46-5.47), trained on COVID-19 prevention methods (AOR = 2.6, 95% CI: 1.4-4.7), hopeless of eventually getting COVID-19 at workplace (AOR = 1.9, 95% CI: 1.13-3.28), and feeling unsafe at work when using standard precautions (AOR = 0.46, 95% CI: 0.27-0.79) were associated with good PPE using compared to their counterparts. Moreover, nursing/midwifery professionals practiced good personal protective equipment compared to physicians (AOR = 3.7, 95% CI: 1.8-7.7).ConclusionThe study demonstrated that being a male, being a nurse/midwifery, regularly sanitizing hands/medical equipment, having COVID-19 management guidelines, trained on COVID-19, and feeling of eventually getting COVID-19 at workplace had a positive association with PPE utilization. Besides, the study revealed that not feeling safe at work when using standard precautions was negatively associated with PPE utilization of HCWs. Therefore, the prevention priorities should be given to frontline HCWs by providing all possible support and strictly implementing the prevention and control guidelines of COVID-19 to prevent the health system from collapse.
Project description:Following the proven concept, capabilities, and limitations of detecting the RNA of Severe Acute Respiratory Coronavirus 2 (SARS-CoV-2) in wastewater, it is pertinent to understand the utility of wastewater surveillance data on various scale. In the present work, we put forward the first wastewater surveillance-based city zonation for effective COVID-19 pandemic preparedness. A three-month data of Surveillance of Wastewater for Early Epidemic Prediction (SWEEP) was generated for the world heritage city of Ahmedabad, Gujarat, India. In this expedition, 116 wastewater samples were analyzed to detect SARS-CoV-2 RNA, from September 3rd to November 26th, 2020. A total of 111 samples were detected with at least two out of three SARS-CoV-2 genes (N, ORF 1ab, and S). Monthly variation depicted a significant decline in all three gene copies in October compared to September 2020, followed by a sharp increment in November 2020. Correspondingly, the descending order of average effective gene concentration was: November (~10,729 copies/L) > September (~3047 copies/L) > October (~454 copies/L). Monthly variation of SARS-CoV-2 RNA in the wastewater samples may be ascribed to a decline of 20.48% in the total number of active cases in October 2020 and a rise of 1.82% in November 2020. Also, the monthly recovered new cases were found to be 16.61, 20.03, and 15.58% in September, October, and November 2020, respectively. The percentage change in the gene concentration was observed in the lead of 1-2 weeks with respect to the percentage change in the provisional figures of confirmed cases. SWEEP data-based city zonation was matched with the heat map of the overall COVID-19 infected population in Ahmedabad city, and month-wise effective gene concentration variations are shown on the map. The results expound on the potential of WBE surveillance of COVID-19 as a city zonation tool that can be meaningfully interpreted, predicted, and propagated for community preparedness through advanced identification of COVID-19 hotspots within a given city.
Project description:PurposeThe COVID-19 pandemic has undoubtedly altered the routine of life and caused unanticipated changes resulting in severe psychological responses and mental health crisis. The study aimed to identify psycho-social factors that predicted distress among Indian population during the spread of novel Coronavirus.MethodAn online survey was conducted to assess the predictors of distress. A global logistic regression model was built, by identifying significant factors from individual logistic regression models built on various groups of independent variables. The prediction capability of the model was compared with the random forest classifier.ResultsThe respondents (N = 1060) who are more likely to be distressed, are in the age group of 21-35 years, are females (OR = 1.425), those working on site (OR = 1.592), have pre-existing medical conditions (OR = 1.682), do not have health insurance policy covering COVID-19 (OR = 1.884), have perceived seriousness of COVID-19 (OR = 1.239), have lack of trust in government (OR = 1.246) and whose basic needs' fulfillment are unsatisfactory (OR = 1.592). The ones who are less likely to be distressed, have higher social support and psychological capital. Random forest classifier correctly classified 2.3% and 17.1% of people under lower and higher distress respectively, with respect to logistic regression.ConclusionsThis study confirms the prevalence of high distress experienced by Indians at the time of COVID-19 and provides pragmatic implications for psychological health at macro and micro levels during an epidemiological crisis.
Project description:BackgroundPrimary health centers (PHCs) represent the first tier of the Indian health care system, providing a range of essential outpatient services to people living in the rural, suburban, and hard-to-reach areas. Diversion of health care resources for containing the coronavirus disease (COVID-19) pandemic has significantly undermined the accessibility and availability of essential health services. Under these circumstances, the preparedness of PHCs in providing safe patient-centered care and meeting the current health needs of the population while preventing further transmission of the severe acute respiratory syndrome coronavirus 2 infection is crucial.ObjectiveThe aim of this study was to determine the primary health care facility preparedness toward the provision of safe outpatient services during the COVID-19 pandemic in India.MethodsWe conducted a cross-sectional study among supervisors and managers of primary health care facilities attached to medical colleges and institutions in India. A list of 60 faculties involved in the management and supervision of PHCs affiliated with the community medicine departments of medical colleges and institutes across India was compiled from an accessible private organization member database. We collected the data through a rapid survey from April 24 to 30, 2020, using a Google Forms online digital questionnaire that evaluated preparedness parameters based on self-assessment by the participants. The preparedness domains assessed were infrastructure availability, health worker safety, and patient care.ResultsA total of 51 faculties responded to the survey. Each medical college and institution had on average a total of 2.94 (SD 1.7) PHCs under its jurisdiction. Infrastructural and infection control deficits at the PHC were reported in terms of limited physical space and queuing capacity, lack of separate entry and exit gates (n=25, 49%), inadequate ventilation (n=29, 57%), and negligible airborne infection control measures (n=38, 75.5%). N95 masks were available at 26 (50.9%) sites. Infection prevention and control measures were also suboptimal with inadequate facilities for handwashing and hand hygiene reported in 23.5% (n=12) and 27.4% (n=14) of sites, respectively. The operation of outpatient services, particularly related to maternal and child health, was significantly disrupted (P<.001) during the COVID-19 pandemic.ConclusionsExisting PHC facilities in India providing outpatient services are constrained in their functioning during the COVID-19 pandemic due to weak infrastructure contributing to suboptimal patient safety and infection control measures. Furthermore, there is a need for effective planning, communication, and coordination between the centralized health policy makers and health managers working at primary health care facilities to ensure overall preparedness during public health emergencies.
Project description:High throughput sequencing is performed on mRNA isolated from whole blood of adult Covid-19 patients, bacterial coinfection with Covid-19 and healthy controls in a South Indian cohort. Samples were collected from individuals at the time of hospitalization or visit to clinic. The Covid-19 samples are categorized by severeity.