We report a case of a 58-year-old male who presented with high grade fever of 45 days duration. He had presented with a dry cough and right ear pain. His initial clinical evaluation and diagnostic tests were unremarkable. During the hospital stay, he developed palpitation for which tests for thyroid functions were done which revealed subacute thyroiditis. He recovered fully with the treatment. Subacute thyroiditis is one of the rarely mentioned causes of Pyrexia of Unknown origin. A high index of suspicion and appropriate imaging is required for early diagnosis and management.

Pathogenic microorganisms and viruses are components of ecosystems. They have constructed endemic interrelationships with specific host species throughout the history of coevolution The spillover of pathogens from natural habitats into other areas causes encounters between the pathogens and new hosts that have never evolved immunity or resistance. The result is a rapid spread of “Emerging Infectious Disease” (EID). During the acceleration of globalization, humans and societies have come to be the targets of infectious diseases caused by pathogens that have emerged from natural habitats. In the past few years, the newest EID, SARS-CoV-2, has spread throughout the world and has caused serious harm to human health and welfare. With the growing social concern about the risks of the EID pandemic, there has been discussion that the destruction of biodiversity and environmental changes are closely related to the EID pandemic. There is a need to rethink the importance of conserving biodiversity if humans are to control the risk of pathogenic viruses and live in harmony with them.

Background: Low sleep quality and sleep disturbances are reported to be higher during the COVID-19 pandemic period. This study aimed to evaluate the sleep quality of hospitalized patients with COVID-19 and the factors that affect their sleep quality. Materials and methods: Patients with COVID-19 who were hospitalized at the pandemic clinic of a University Training and Training Hospital between 15 May-15 September 2020 were included. The study included 150 patients who agreed to participate in the study, who were hospitalized in the COVID-19 clinics in a Training and Research Hospital. Adult patients over the age of 18 who had been accepted to participate in were enrolled in the study. The patients who had any diagnosed sleep-related disorders or neurological and psychiatric diseases were excluded. Data were collected using the Personal Information Form, Pittsburgh Sleep Quality Index. Results: The patient’s PSQI score average was significantly higher in females, illiterate, married, and individuals with the first three days of diagnosis of disease. During their 75.2% hospitalization time, sleep patterns deteriorated and 90.0% of those patients also deteriorated 1-3 days after hospitalization. Given the conditions that caused sleep disorders during the time hospitalized, there were causes such as respiratory distress (41.3%), hospital environment (36.1%) and pain (32.0%). The requirements that patients need most to improve their sleep quality during the hospital period may be said to be good management of disease symptoms (36.4%), increased social support systems (33.3%), and communication with health staff (20.0%). Conclusion: For sleep disorders in hospitalized patients with a positive (+) diagnosis of COVID-19, it can be said that 71.3% of the patients have poor sleep quality.

Hemophagocytic Lymphohistiocytosis (HLH) is a rare and potentially life-threatening syndrome related to a dysregulation of cytolytic function of Natural Killer (NK) cells and cytotoxic T cells (CTLs), which in turns leads to an inappropriate immune stimulation and hyperinflammatory state, resulting in hypercytokinemia, accumulation of activated lymphocytes and macrophages [1,2].

Toxins are substances that burden the body and can lead to disease. They either originate from the body’s metabolism or were supplied from outside. The organism is forced to transport these substances out if it wants to maintain its integrity. There are many ways to do this that we are rarely aware of. These will be pointed out. It is of great importance that we do not suppress them, but activate them. The know-how necessary for this should be known by every person.

Background: COVID-19 was the devastating worldwide public health problem in recent years. COVID19 disease affecting large populations in different continents of the world starting on 11 March 2020. This study will be useful to give information on geographical surveillance of COVID-19 in Ethiopia, to know regions of high or low rates of COVID 19, to give evidence as baseline data for future research on COVID-19 in Ethiopia, and to predict the prevalence of COVID-19 from the untested population in different regions of Ethiopia using the art geospatial techniques. Methods: We have used secondary data collected from March 13, 2020, to November 23/ 2021 From COVID19 – Ethiopia - Ethiopian Health Data. ArcGIS 10.3 and SaTscan software were used for spatial analysis and geographical analysis respectively. Results: A high prevalence of COVID-19 was found in Addis Ababa (67.36%) and Oromia (13.85%). Spatial autocorrelation analysis indicated that the spatial distribution of COVID-19 is nonrandom (Moran’s Index: 0.134297, P-value: 0.052384). In spatial scan statistical analysis, eight clusters were identified and the higher rates of COVID-19 were observed in the Afar (RR= 1.80, p<0.001) and Addis Ababa (RR= 50.33, p<0.001) regions. Conclusion: The spatial distribution of COVID-19 cases in Ethiopia was not random. Hot spot research revealed a significant prevalence of COVID-19 patients in the Addis Ababa, Dire Dawa, Harari, and Oromia regions. For the reduction of COVID-19 infections in Ethiopia, preventative and control activities should be extended to high-risk locations.

With the objectives of determining the association between risk factors and Dengue Fever (DF), a case-control study with a random sample size of 102:102 in each was conducted at Hetauda and Kamalamai Municipalities, Nepal. The hypothesis of risk factors for DF like low level of knowledge about DF, discarded receptacles, old tires, containers, etc. nearby house, and use of stagnant AC/Coolers was used to conduct the study. Traveling to DF affected areas nearly 2 weeks before the onset of disease was significantly associated with dengue fever (OR= 6.10, 95% cl: 1.31-28.34, p<0.021). Waste disposal of old containers, receptacles, tires during the rainy season were significantly associated with the incidence of DF (AOR= 6.308, 96% cl: 2-751-14.462, p<0.000). The frequency of DF was associated with the middle social class level (p<0.05, d. f. 2). Uncovered water tanks of the household were significantly associated with DF (AOR= 3.78, 95% cl: 1.51-9.45, p<0.0043). As the number of families increases in the household, the number of cases increases with a positive correlation (r = +0.62). Crowded households with more than 2 occupants in one room were at risk of dengue infection. The study concluded that DF was associated with the risk factors of traveling to endemic areas, discarded waste containers, receptacles, tires, and uncovered water tanks, middle social class, and crowded households. Public health managers should prioritize these risk factors while planning for DF control and prevention.

Objectives: Comparison between patients admitted to the Intensive Care Unit (ICU) with ventilatory support during the first and second wave (Gamma variant) of COVID 19 in a tertiary hospital in the City of Buenos Aires. Design: Descriptive, observational, prospective cohort study. Setting: ICU of an acute general hospital in Argentina. Patients: Adult patients with COVID-19 admitted consecutively to the ICU. Intervention: Admission to ICU. Main variables of interest: Demographic and laboratory data, history, duration of MV, mortality. Results: 44 patients were recruited during the first wave, and 80 in the second. Significant differences were observed in the second wave for age (60, [SD 11]; vs 68 [SD 11]; p <0.01), days with symptoms (9 [SD 5]; vs 4.5 [SD 3]; p <0.01), duration of MV (10 days [SD 7]; vs 16 [SD 13]; p <0.01), Ferritin (1450 mcg / l [SD 547]; vs 941 mcg / l [ SD 593]; p 0.04) and use of antibiotics (97% vs 45% p <0.01). There was no difference in mortality (66% vs 78% p 0.14) but there was in its primary causes; being more frequent hypoxemia associated with sepsis in the second wave (40% vs 3.4% p <0.01) and hypoxemia and multiorgan failure in the first (28% vs 4% p <0.01). Conclusions: During the second wave of the pandemic, due to Gamma variant, more patients were admitted to our unit, younger, with a longer evolution time, a shorter time on MV and a greater inflammatory response, with no difference in mortality, although there was a difference in its causes.

The tobacco epidemic is one of the biggest public health warnings in the world, and 8 million people die every year due to smoking, of which 7 million die due to direct smoking and 2.1 million due to exposure to secondhand smoke [1].