ABSTRACT
Background: COVID-19 pneumonia is newly recognized illness has spread rapidly around the world. It causes much morbidity and mortality. Diabetes in COVID-19 patients is individual risk factor and documented in worldwide studies to contribute to severity of the disease, increased length of stay and higher mortality. Aggressive management of blood sugars and acute diabetic complications reduce the length of stay and mortality. Method(s): The improvement project carried over for four months in King Fahd Armed Forces hospital. Randomly selected 200 patients admitted to the hospital with diabetes and COVID-19 studied. The unified treatment protocol applied for all patients and blood sugars monitored closely and optimized. Data collected on bimonthly basis and analyzed. The patient characteristics taken from data extraction tool (Oasis) of hospital. Median values for length of stay and post discharge FBS and RBS were calculated Microsoft Excel tool. Mortality rates calculated by percentages. Result(s): 200 patients studied in the 4 months study period. The median length of stay was 3 days. The mortality rate was 2.5%. The median FBS and RBS in the patient group monitored in the post discharge clinic was 130 mg/dl and 170 mg/dl respectively. The results compared with the standard international studies and improvements in primary and secondary outcomes documented. Discussion(s): The length of stay in the study population in the project was 3 days as compared to 13 days in a major international study helping rapid turnover of beds and financial savings. The mortality was 2.5% compared to 7.3% in a major published study, reflecting the implications of aggressive management of diabetes by teamwork. The median values of FBS 130 mg/dl and RBS of 170mg/dl achieved by regular follow-up and support to the patient by running postdischarged clinic definitely help reducing readmissions and acute complications of uncontrolled diabetes. Conclusion(s): COVID-19 patients with diabetes are more prone to have more severe disease, and tend to stay longer in hospital and have higher mortality compared to non-diabetics. An aggressive preemptive strategy with unified treatment protocols and readily available service of endocrinologist and effective control of diabetes and acute complications of diabetes significantly reduces the length of and mortality in COVID-19 patients with diabetes.
ABSTRACT
Background: Since the World Health Organization (WHO) declared coronavirus disease 2019 (COVID-19) as a pandemic, it has become a major challenging public health problem worldwide. This pandemic has affected all aspects of Population life in almost all nations and among all socioeconomic groups. Population of all types are facing an unprecedented crisis with the rapid spread of COVID-19 and severity of the disease in many infected individuals. As such many healthcare systems have been overwhelmed and HCWs presented with work load . There is a potential shortage of physical resources, such as ventilators and intensive care unit beds, needed to care for surges of critically ill patients, however, additional medical supplies and beds will be of limited help unless there is an adequate medical workforce, as the Middle East respiratory syndrome coronavirus (MERS-CoV) continues to occur in small outbreaks in Saudi Arabia. Aim of the study: To assessment the Knowledge, Attitude and Practice toward COVID-19 among the Population attending primary healthcare centers in Makkah Al-Mukarramah Saudi Arabia 2022. Method(s): Cross sectional study, was conducted among Saudi Arabia population in primary health care center in Makkah Al-Mukarramah. The questionnaire collected socio-demographic characteristics, assessment of Knowledge, Attitude and Practice toward COVID-19 Our total participants were(200). Result(s): show the relation of participant to Attitude, knowledge, Practice score towards COVID-19 regarding the Attitude the most of participants high attitude were (78.0) heave a significant relation were P-value <0.001 and X2187.240, regarding the knowledge the most of participants high knowledge were (61.0%) P-value <0.001 and X270.360, the Practice the most of participants high Practice were (77.0%) a significant relation were P-value <0.001 and X2174.040. Conclusion(s): Study participants from KSA, not adequate knowledge, positive attitude, and acceptable practices towards COVID-19 Knowledge. Electronic and social media should be effectively utilized to spread awareness of COVID-19 among the public, the Population worry levels regarding transmitting for COVID-19 during the early stage of the COVID-19 pandemic, and subsequent awareness campaigns that were conducted were associated with increased knowledge, adherence to protective hygienic practices and reduction of anxiety toward the COVID-19 pandemic. Copyright © 2022 Ubiquity Press. All rights reserved.
ABSTRACT
Introduction: & Background: Diabetes in COVID-19 patients is individual risk factor and documented in worldwide studies to contribute to disease severity, increased length of stay and higher mortality (fig-1). Aggressive management of blood sugars and acute diabetic complications reduce the length of stay and mortality. Methods: Randomly selected 200 patients admitted with diabetes and COVID-19 studied. The unified treatment protocol (fig-2) applied for all patients and blood sugars monitored closely and optimized. Data collected on bimonthly basis and analyzed. Patients’ characteristics taken from data extraction tool (Oasis) of hospital. Median values for length of stay and post discharge FBS and RBS were calculated Microsoft Excel tool. Mortality rates calculated by percentages. Results: 200 patients studied in the 4 months study period. The median length of stay was 3 days. The mortality rate was 2.5% (fig-3,4). The median FBS and RBS in the patient group monitored in the post discharge clinic was 130 mg/dl and 170 mg/dl respectively. The results compared with the standard international studies. Discussion: Diabetes in COVID-19 patients posed great challenge as increased severity and mortalities reported compared to non-diabetic. Taking a pre-emptive strategy to combat this problem by aggressively manage diabetes help in reducing length of stay and morbidity. The length of stay in studded population was 3 days as compared to 13 days in a major international study(Ref: 1) . Financial saving come from rapid turnover of beds. The mortality was 2.5% compared to reported 7.3% in a major study (Ref: 2), reflecting the implications of aggressive management of diabetes. Regular follow-up and support by running post-discharge clinic definitely help reducing readmissions and acute complications of uncontrolled diabetes. Conclusion: Aggressive management of diabetes in COVID-19 patients by tailored treatment protocols and dedicated teams will help to decrease the morbidity and mortality.Presentation: No date and time listed
ABSTRACT
In this work, we investigate the effects of the contact rate between people on the covid-19 virus transmission through a susceptible-infected-treatment-recovered (SITR) fractional mathematical model. Several strategies are introduced, and the development methodology is constructed up in various cases based on the rate of individual contact, due to confinement and social distancing rules, which can be useful in reducing infection. The existence and uniqueness of the proposed model solution are established, as well as the basic reproduction number. The basic reproduction number has been used to control the dynamics of the fractional SITR model completely, which determines whether or not the infection is extinguished. The global stability of the infection-free balance and endemic equilibrium point of the proposed model has been fully established using the Lyapunov-LaSalle type theorem. Furthermore, a sensitivity analysis is carried out to find out which parameter is the most dominant to affect the disease's endemicity and to see how changes in parameters affect Covid-19's beginning disease transmission. The fractional Adams-Bashforth method is used to compute an iterative solution to the model. Finally, using the model parameter values to explain the importance of the arbitrary fractional-order derivative, the numerical results using MATLAB are presented.
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In this paper, we present a proposed method for generating a soft rough approximation as a modification and generalization of Zhaowen et al. approach. Comparisons were obtained between our approach and the previous study and also. Eventually, an application on Coronavirus (COVID-19) has been presented, illustrated using our proposed concept, and some influencing results for symptoms of Coronavirus patients have been deduced. Moreover, following these concepts, we construct an algorithm and apply it to a decision-making problem to demonstrate the applicability of our proposed approach. Finally, a proposed approach that competes with others has been obtained, as well as realistic results for patients with Coronavirus. Moreover, we used MATLAB programming to obtain the results;these results are consistent with those of the World Health Organization and an accurate proposal competing with the method of Zhaowen et al. has been studied. Therefore, it is recommended that our proposed concept be used in future decision making. © 2021 Tech Science Press. All rights reserved.
ABSTRACT
The aim of this study is to determine the association between temperature and humidity in relation to COVID-19 above 3 degrees C. This was carried out in the cities of Bandung and Surabaya which have temperatures of about 22 degrees C to 31 degrees C. Data was analyzed using descriptive analysis and the Pearson and Spearman correlation for normally and abnormally distributed data. The results showed that there was no association between people under monitoring (ODP)/close contact, patients under surveillance (PDP)/suspect, and COVID-19 confirmed cases in relation to the temperature and humidity in Bandung and Surabaya. Furthermore, there was no relationship between temperature and humidity with ODP, PDP, and COVID-19 Confirmed cases in both cities, because they had a comfortably wet category (RH > 70%). This results are expected to provide information to the government that weather cases in Indonesia (temperatures around 26 degrees C-30 degrees C with humidity > 60%) do not affect the spread of COVID-19. In addition, it is expected that further studies would be carried out on other factors that influence the spread of COVID-19 in Indonesia, for example, how the level of alternating flow in and/ or out of the population into an area.