Evaluation of Crimean-Congo Hemorrhagic Fever Cases During the COVID-19 Pandemic Period

Introduction: Crimean-Congo Hemorrhagic Fever (CCHF) is a zoonotic disease that progresses with fever and bleeding and is endemic in our region. In this study, we aimed to determine the symptoms, transmission routes and risk factors in CCHF patients who have similar clinical features with COVID-19, and to investigate the relationship between CCHF cases and COVID-19 restrictions in our region where CCHF is endemic. Materials and Methods: One hundred fifty-nine patients diagnosed with CCHF in the infectious diseases and clinical microbiology clinic between April 2021 and September 2021 were included in the study. A questionnaire consisting of a set of questions was filled in for patients diagnosed with CCHF, in which demographic data, admission complaints, risk factors and habits during the COVID-19 pandemic were evaluated. Results: The mean age of the 159 CCHF patients included in the study was 50.9 +/- 18.5 years and 59.7% were male. The most frequently reported complaints by the patients were fatigue (94.5%), muscle-joint pain (79.9%) and fever (74.2%). During the disease period, COVID-19 was suspected in 62.3% of them, PCR test was applied to all of them, and the result was positive in only one patient. There was no change of residence of the patients during the illness period. There was no significant increase in the population of the residence area or the frequency of visits due to the pandemic. The number of patients who reported an increase in the number of ticks in their environment was 44 (27.8%). It was determined that there was no significant increase in the number of activities such as visiting rural areas or having a picnic due to the COVID-19 pandemic. Only 32.2% of patients engaged in animal husbandry or field work reported an increase in the frequency of these jobs compared to the pre-pandemic period. Conclusion: The reason for the increase in the number of CCHF cases in our center was not associated with the increase in the frequency of visits to rural areas or the change of residence during the COVID-19 pandemic period.

Evaluation of Crimean-Congo Hemorrhagic Fever Cases During the COVID-19 Pandemic Period.

Introduction: Crimean-Congo Hemorrhagic Fever (CCHF) is a zoonotic disease that progresses with fever and bleeding and is endemic in our region. In this study, we aimed to determine the symptoms, transmission routes and risk factors in CCHF patients who have similar clinical features with COVID-19, and to investigate the relationship between CCHF cases and COVID-19 restrictions in our region where CCHF is endemic. Material(s) and Method(s): One hundred fifty-nine patients diagnosed with CCHF in the infectious diseases and clinical microbiology clinic between April 2021 and September 2021 were included in the study. A questionnaire consisting of a set of questions was filled in for patients diagnosed with CCHF, in which demographic data, admission complaints, risk factors and habits during the COVID-19 pandemic were evaluated. Result(s): The mean age of the 159 CCHF patients included in the study was 50.9 +/- 18.5 years and 59.7% were male. The most frequently reported complaints by the patients were fatigue (94.5%), muscle-joint pain (79.9%) and fever (74.2%). During the disease period, COVID-19 was suspected in 62.3% of them, PCR test was applied to all of them, and the result was positive in only one patient. There was no change of residence of the patients during the illness period. There was no significant increase in the population of the residence area or the frequency of visits due to the pandemic. The number of patients who reported an increase in the number of ticks in their environment was 44 (27.8%). It was determined that there was no significant increase in the number of activities such as visiting rural areas or having a picnic due to the COVID-19 pandemic. Only 32.2% of patients engaged in animal husbandry or field work reported an increase in the frequency of these jobs compared to the pre-pandemic period. Conclusion(s): The reason for the increase in the number of CCHF cases in our center was not associated with the increase in the frequency of visits to rural areas or the change of residence during the COVID-19 pandemic period.Copyright © Telif Hakki 2022 Flora.

Evaluation of Crimean-Congo Hemorrhagic Fever Cases During the COVID-19 Pandemic Period

Introduction: Crimean-Congo Hemorrhagic Fever (CCHF) is a zoonotic disease that progresses with fever and bleeding and is endemic in our region. In this study, we aimed to determine the symptoms, transmission routes and risk factors in CCHF patients who have similar clinical features with COVID-19, and to investigate the relationship between CCHF cases and COVID-19 restrictions in our region where CCHF is endemic. Materials and Methods: One hundred fifty-nine patients diagnosed with CCHF in the infectious diseases and clinical microbiology clinic between April 2021 and September 2021 were included in the study. A questionnaire consisting of a set of questions was filled in for patients diagnosed with CCHF, in which demographic data, admission complaints, risk factors and habits during the COVID-19 pandemic were evaluated. Results: The mean age of the 159 CCHF patients included in the study was 50.9 ± 18.5 years and 59.7% were male. The most frequently reported complaints by the patients were fatigue (94.5%), muscle-joint pain (79.9%) and fever (74.2%). During the disease period, COVID-19 was suspected in 62.3% of them, PCR test was applied to all of them, and the result was positive in only one patient. There was no change of residence of the patients during the illness period. There was no significant increase in the population of the residence area or the frequency of visits due to the pandemic. The number of patients who reported an increase in the number of ticks in their environment was 44 (27.8%). It was determined that there was no significant increase in the number of activities such as visiting rural areas or having a picnic due to the COVID-19 pandemic. Only 32.2% of patients engaged in animal husbandry or field work reported an increase in the frequency of these jobs compared to the pre-pandemic period. Conclusion: The reason for the increase in the number of CCHF cases in our center was not associated with the increase in the frequency of visits to rural areas or the change of residence during the COVID-19 pandemic period.

Analysis of the Covid-19 Process in Terms of Health Managers

In this study, sentiment analysis was conducted on the data of the Covid-19 epidemic process from the official twitter account of the Republic of Turkey Fahrettin Koca, Minister of Health, @drfahrettinkoca (SO) and the Twitter account of the @WHO (World Health Organization). First of all, twitter data was obtained and necessary arrangements were made for analysis. Then, tweets were shown with a word cloud and it was determined which words were used more frequently. Afterwards, sentiment analysis was performed on the data using the TextBlob library. In addition, it has been found out which subjects are focused on tweets sent from SO and @WHO (World Health Organization) accounts with the LDA algorithm. It has been seen that positive tweets were sent from both accounts, giving positive messages to the society. © 2022 IEEE.

Artificial Intelligence Based Social Distance Monitoring in Public Areas

COVID-19 is an infectious disease caused by a newly discovered coronavirus called SARSCoV-2. There are two ways of contamination risk, namely spreading through droplets or aerosol-type spreading into the air with people's speech in crowded environments. The best way to prevent the spread of COVID-19 in a crowd public area is to follow social distance rules. Violation of the social distance is a common situation in areas where people frequently visit such as hospitals, schools and shopping centers. In this study, an artificial intelligence-based social distance determination study was developed in order to detect social distance violations in crowded areas. Within the scope of the study, a new dataset was proposed to determine social distance between pedestrians. The YOLOv3 algorithm, which is very successful in object detection, was compared with the SSD-MobileNET, which is considered to be a light weighted model, and the traditionally handcrafted methods Haar-like cascade and HOG methods. Inability to obtain depth information, which is one of the biggest problems encountered in monocular cameras, has been tried to be eliminated by perspective transformation. In this way, the social distance violation detected in specific area is notified by the system to the relevant people with a warning. © 2022 Lavoisier. All rights reserved.

Role of factors in eHealth literacy in period of COVID-19: a study of Turkey

PurposeThis study aims to understand the eHealth literacy skills of chronic patients and to explore the relations, patterns between eHealth literacy skills and different factors such as demographics, search strategies and health information sources and to explain their effects on eHealth literacy in Turkey in Izmir in COVID-19 outbreak.Design/methodology/approachA quantitative method was used in the study including a questionnaire. A total of 604 chronic patients responded to the questionnaire who applied the five popularly identified hospitals in Izmir in Turkey. CHAID analysis method was implemented to explore the strongest correlation between eHealth literacy and independent variables.FindingsUsing different social media types were correlated with patients' eHealth literacy scores. Using Facebook, Twitter were the supportive predictors for the eHealth literacy scores. However, digital literacy was highly important for eHealth literacy.Originality/valueThis study shows that the social media channels which provides much more information such as Facebook and Twitter for the chronic patient. This could be beneficial for the eHealth tools and social media content developers in terms of the supply of health information. Moreover, the study gives ideas about the effect of digital literacy and the importance of health information provided.

Prognostic Factors of COVID-19 Infection in Older Patients

Introduction: COVID-19 can cause acute respiratory failure, metabolic acidosis, coagulopathy, septic shock, and death in older adults. The timely identification of at-risk patients will facilitate early intensive care intervention. Therefore, this study aimed to investigate the prognostic factors of COVID-19 in geriatric patients, a group shown to have higher mortality risk. Materials and Methods: A total of 61 patients over 65 years of age with presumed COVID-19 were included in the study. Patients' demographic characteristics, chest computed tomography findings at admission, biomarkers such as neutrophil/lymphocyte ratio (NLR), hemoglobin (g/dL), platelet count (109/L), alanine aminotransferase (ALT) (U/L), aspartate aminotransferase (AST) (U/L), total bilirubin (mg/dL), direct bilirubin (mg/dL), lactate dehydrogenase (LDH) (U/L), creatine kinase (CK) (U/L), blood urea nitrogen (BUN) (mg/dL), creatinine (mg/dL), albumin (mg/dL), D-dimer (ng/mL), ferritin (ng/mL), troponin (ng/mL), C-reactive protein (CRP) (mg/L), and procalcitonin (PCT) (ng/mL), complications during follow-up, and treatments received were recorded retrospectively from patient files and electronic records. Results: Mean age was 71.13 +/- 7.68 years, and 32 (52.5%) of the patients were males. During hospitalization, 18 patients (29.5%) were admitted to the intensive care unit and 10 (16.4%) died. Non-surviving patients were significantly older. Mean admitting NLR, LDH, CK, BUN, creatinine, troponin, D-dimer, CRP, and procalcitonin values were higher and mean albumin level was lower among the non-surviving patients. A Cox regression model based on variables associated with significantly prolonged hospital length of stay showed that highest NLR during follow-up was an independent risk factor for mortality and increased the risk of death by 10.67 times (95% Confidence Interval: 1.183-96.309) (p= 0.035). Conclusion: Highest NLR was found to be an independent risk factor for mortality and was associated with a 10-fold higher risk of death. Close monitoring and comprehensive treatment are required to reduce mortality in these patients.

Gastrointestinal Symptoms and Liver Damage in Patients with COVID-19

Introduction: Gastrointestinal and hepatic symptoms may be seen before respiratory symptoms in Coronavirus disease 2019 (COVID19). The purpose of the present study was to evaluate the relationship between liver damage and observed symptoms and laboratory parameters. Materials and Methods: Patients followed-up with diagnoses of COVID-19 between March and August 2020 were included in the study. Clinical characteristics and laboratory parameters were compared according to liver damage status. Results: Four hundred and thirteen COVID-19 cases were included. The prevalence of gastrointestinal symptoms was 19.8%, the most common being nausea/vomiting, abdominal pain, and diarrhea (10.4%, 6.1%, and 2.9%, respectively). CT-confirmed pneumonia, intensive care requirement, and mean length of hospitalization differed significantly depending on liver damage status (p< 0.001, p= 0.006, p= 0.002, respectively). Significant differences were determined between the groups with and without liver damage in terms of all the laboratory parameters examined, apart from white blood cell, neutrophil, lymphocyte, neutrophil:lymphocyte ratio (NLR), total bilirubin, and partial thromboplastin time (PTT) (p< 0.05). Significant associations were present between alanine aminotransferase lev- els and all other laboratory parameters apart from NLR and PTT (p< 0.001). Aspartate aminotransferase (OR: 1.22, CI: 1.16-1.28) and albumin (OR: 2.28, CI: 1.12-4.63) were identified as significant independent risk factors for liver damage in patients with COVID-19. Conclusion: Gastrointestinal symptoms are not uncommon in COVID-19 patients. Liver damage may be associated with progression to intensive care and systemic inflammation.