Dyspnea is one of the reasons why many heart failure patients present to the emergency department. A 75 year-old female presented to a cardiologist with prominent dyspnea and orthopnea. Her heart failure was diagnosed by doctors as New York Heart Association (NYHA) Class III. Progressive increase in episodic shortness of breath forthe past 3 weeks. The patient had been in her normal state of health until 3 weeks ago that she had difficulty catching her breath while walking.The patient got 7 points from the first Borg Dyspnea Scale. The study is a case-report study. Personal Data Form (PDF), Borg Clinical Rating for Dyspnea (Borg CR-10) was evaluated by researcher. Classic foot massage was applied to each foot for a total of 30 minutes, up to 15 minutes, once a day for seven days. Dyspnea was measured after the massage following 10 min of resting. Foot massage was applied by the researcher. Distribution of dyspnea level first and seventh is given in Table 1. Dyspnea level of the patient intervention foot massage decreased to 5.00 from 7.00 at the end of seventh session. Foot massage which is an easy and safe method may be preferably used as a supportive treatment for elevated dyspnea. However, more studies are needed to examine the effect of foot massage on dyspnea level in heart failure patients.

Background: According to CDC, Coronavirus disease 2019 (COVID-19) is caused by a new coronavirus which was first identified in Wuhan, China, in December 2019. Although most people who have COVID-19 have mild symptoms, it can also cause severe illness and even death. Some groups, including older adults and people who have certain underlying medical conditions, are at increased risk of severe illness. On February 11, 2020, the World Health Organization announced an official name for the disease that is causing the 2019 novel coronavirus outbreak. The new name of this disease is coronavirus disease 2019, abbreviated as COVID-19. Objectives: Analysis of COVID 19 data in the Davanagere district from April 2020 to August 2020. Methods: In this current study the secondary data is obtained from the Official Website of Government of Karnataka, Covid-19 Informational Portal – Media Bulletin. By using different indicators Davanagere district covid data is further used to calculate Attack rate, Case fatality rate and complete case fatality rate. Results: In this study it is found that, in the month of April there were no covid positive cases reported till fourth week of month, by fourth week, total two positive cases were reported the first case being encountered on 28th April 2020, with discharge of those patient in the end of the month. The attack rate has steeped up from 8.018 to 355.74 per one lakh population i.e. about 44 times more than initial months of pandemic. The strict preventive measures were followed by public and government too. So the prevalence rate is less in May, June and went on increasing once the unlocking is done. In summer the total positive cases steeping up from 2 cases to 154 total positive cases for the month April to May, and there is steady in rise of total positive cases for the month June with total positive cases of 153. In the beginning of summer there were fewer cases as pandemic was just begun and chances of transmission were very less. As monsoon appeared in June last week there is surge in total positive cases. With added burden of Unlock 1.0 phase, as public started moving out from home without any freak of infection. Conclusion: In this study it is found that due to strict nationwide lockdown and social distancing, hygiene practices among the Davanagere people has made it possible to restrict the spread of covid among the people, although the international immigration of Davanagere residents lead to transmission of infection. Further removal of lockdown after three months has lead to three fold spread of disease. Also there is rise in death rate, attack rate and case fatality in Davanagere district.

The objective of the document is to empirically test a structural model of the relationship between stigma and attitudes. A cross-sectional, psychometric, and predictive work was carried out with a sample of 100 students, considering their exposure to Covid-19 in their professional practices and social service. A factorial structure was found that explained 89% of the variance and the relationship between both variables, suggesting the inclusion of other variables such as the need for information, media framing, and government communication strategy.