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1.
Frontiers in Public Health ; 10, 2022.
Article in English | Web of Science | ID: covidwho-2163186

ABSTRACT

IntroductionCardiac injury has received considerable attention due to the higher risk of morbidity and mortality associated with coronavirus disease. However, in a developing country, there is a scarcity of data on cardiac injury in COVID-19 patients related to inflammatory biomarkers. MethodsTherefore, the present research retrospectively analyzes data from three territorial hospitals in Pakistan's Punjab province to investigate the potential impact of the cardiac injury on the mortality and severity of COVID-19-infected patients. We evaluated 2,051 patients between January 16 and April 18, 2022, with confirmed COVID-19. The in-hospital mortality recorded for the selected sample size was about 16.28%. ResultsThe majority of the participants were identified as male (64%) with a median age of 65 years. Also, fever, fatigue, and dyspnea were reported as common symptoms. An aggregate of 623 patients (30.38%) had a cardiac injury, and when these patients are compared to those without cardiac injury, the participants were significantly older and had more comorbidities with higher leukocyte counts, elevated levels of C-reactive protein, interleukin-6, procalcitonin, myohemoglobin, creatinine kinase-myocardial band, serum creatinine, high-sensitivity troponin-I, N-terminal pro-B-type natriuretic peptide had a significant amount of multiple ground-glass opacity and bilateral pulmonary infiltration in radiographic results. Participants with heart injury required more non-invasive or invasive mechanical respiration than those who did not have a cardiac injury. Individuals with cardiac injury had higher rates of sepsis, acute respiratory distress syndrome (ARDS), d-dimer concentration, and respiratory failure than those without cardiac injury. Patients who had had a cardiac injury died at a higher rate than those who had not suffered cardiac damage. In the multivariable logistic regression analysis, participants with cardiac injury showed greater odds of COVID-19 mortality and were found associated with older age (OR = 1.99, 95% CI = 0.04-3.19), elevated cardiac troponin I (OR = 18.64, 95% CI = 13.16-23.01), the complication of sepsis (OR = 10.39, 95% CI = 7.41-13.39) and ARDS (OR = 6.65, 95% CI = 4.04-8.91). ConclusionCardiac injury is a frequent complication among patients with coronavirus-induced infection in Punjab, Pakistan, and it is significantly linked to a greater risk of in-hospital mortality.

2.
Annali Italiani Di Chirurgia ; 93(4):391-397, 2022.
Article in English | Web of Science | ID: covidwho-2156586

ABSTRACT

PURPOSE: The histopathological effects of the COVID-19 period on the upper gastrointestinal system are not clearly known. This study is the first in the literature to compare the results of upper endoscopic biopsy before and during the COVID-19 period. METHODS: Data of 10510 patients who underwent upper endoscopy with a given biopsy sample during the procedure between March 2019 and March 2021 were retrospectively scanned. Patients are divided into two groups as the pre-pandemic period patients and the COVID-19 pandemic period patients. The pathological data of these patients were statistically analyzed according to the Sydney classification. RESULTS: Group 1 comprised of 6,787 patients with 3,915 females and 2872 males (F:M=1.3:1), while Group 2 with 1,734 females and 1,455 males (F:M=1.2:1), and this gender difference between the two groups was statistically significant (p=0.002). A comparison of the patient groups in terms of the inflammation, activation, intestinal metaplasia, and presence of H. pylori revealed a significant difference, with higher rates recorded in the COVID-19 period than in the pre-pandemic period (p < 0.05). CONCLUSION: In the pandemic period, the results of the upper endoscopic biopsy are adversely affected by various factors compared to the pre-pandemic period.

3.
Eurasian Journal of Pulmonology ; 24(1):47-53, 2022.
Article in English | Web of Science | ID: covidwho-2155516

ABSTRACT

BACKGROUND AND AIM: We aimed to examine the demographic, clinical, and imaging characteristics of patients with COVID???19 pneumonia and also to identify the factors affecting mortality. MATERIALS AND METHODS: This study was designed as a retrospective single???center observational study. A total of 126patients with COVID???19 pneumonia who were polymerase chain reaction confirmed and underwent thorax computer tomography(CT) were analyzed. The patients' demographic and clinical data were obtained from the electronic medical record. Thorax CT findings were re???evaluated retrospectively by thoracic radiologists according to the severe acute respiratory syndrome coronavirus 2 pneumonia guidelines of the Radiological Society of North America. The extent of lesions was evaluated by CT lobe score, which was the sum of individual lobe scores(0-5 point) of the lungs. RESULTS: The mean age of the patients was 60.4 +/- 18.6years and 54%(n=68) were male. The most common symptoms included cough, fever, and shortness of breath. The average time interval between the onset of symptoms and thorax CT acquisition was 6.6 +/- 8.3days. The most common radiological findings included ground???glass opacity(98.4%), consolidation(72.2%), and vascular enlargement(69.8%), respectively. The deceased patients had more common consolidation, vascular enlargement, and high lobe scores in thorax CT as compared to survivors. According to logistic regression analysis age(P=0.003), lobe score(P=0.001), numbers of comorbidities(P=0.017), symptoms duration(P=0.034), and vascular enlargement(P=0.045) were independent risk factors on 30???day mortality. CONCLUSION: This study indicated that age, symptoms duration, the number of comorbidities, lobe score, and vascular enlargement in thorax CT are associated with the prognosis of COVID???19 pneumonia

4.
6th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2022 ; : 976-981, 2022.
Article in English | Scopus | ID: covidwho-2152475

ABSTRACT

From December 2019, a major outbreak called novel corona virus is infecting people all over the world now. It is believed to be a beta corona virus of SARS-CoV and MERS-CoV. Infected people are unable to detect this disease as they feel normal till 10-12 days. After that, the virus infects the whole body and starts to find another body to infect, multiplying it day by day. As per the media news and other sources, epidemic is spreading globally, especially in countries like China, Italy where its effect is at peak, killing thousands of people. Based on the data of infected Covid-19 people in India, we systematically discuss the outbreak of epidemic corona virus in India. Defining the structure of active cases day by day, we predict the future of Covid-19 in India. We also suggest important measures to help prevent the spread of Covid-19 in India. © 2022 IEEE.

5.
BMC Geriatr ; 22(1): 903, 2022 Nov 25.
Article in English | MEDLINE | ID: covidwho-2139161

ABSTRACT

PURPOSE: In order to control the corona virus disease-2019 (COVID-19) pandemic, many countries have adopted social quarantine policies, with older adults in Wuhan suffering the longest and most severe conditions. But few studies have explored the impact of this on the mental health of older adults in Wuhan. The purpose of this paper is to examine changes in the residential status and mental health of this group when 1 year after the social isolation policies in Wuhan. METHOD: A cross-sectional study with convenience sampling was conducted to assess the questionnaire of older adults in a total of 21 streets in 5 central and 2 distant urban districts of Wuhan. Using a self-compiled living status questionnaire, the Patient Health Questionnaire-9, the General Anxiety Disorder-7, the PTSD Checklist-Civilian Version, the UCLA Loneliness Scale and the Social Support Rating Scale, our survey evaluated the living status, depression, anxiety, post-traumatic stress symptoms, loneliness and social support of all the participants. RESULTS: A total of 400 valid samples were obtained. One year after experiencing social isolation, older adults had not changed much from their pre-epidemic living status and mostly lived with their partners. They had satisfactory social support (33.86 ± 6.92) and low levels of depression (3.12 ± 4.30), anxiety (1.52 ± 3.19) and post-traumatic stress symptoms (21.41 ± 7.39), but there were moderate levels of loneliness (38.27 ± 9.31). Among them, depression, anxiety and post-traumatic stress symptoms were significantly higher (ps < 0.05) in older adults who were COVID-19 close contacts while experiencing social isolation. CONCLUSION: One year after experiencing Wuhan's harsh social isolation, older adults in the Wuhan community did not experience significant symptoms of depression, anxiety or post-traumatic stress, but loneliness has increased and the mental health of older adults who were COVID-19 close contacts needs attention.


Subject(s)
COVID-19 , Mental Health , Humans , Aged , Quarantine , COVID-19/epidemiology , Cross-Sectional Studies , Loneliness/psychology
6.
Extreme Medicine ; - (3):5-12, 2022.
Article in English | Scopus | ID: covidwho-2146636

ABSTRACT

The second generation COVID-19 vaccines should produce the long-term protective immune response to the existing and novel strains of SARS-CoV-2. The Convacell® vaccine was designed to produce such immune response by using N protein as an antigen. N-protein is not susceptible to fast accumulation of mutations and is highly homologous to nucleocapsid proteins of other β-coronaviruses. The study was aimed to perform in vitro assessment of the Convacell® vaccine ability to produce immune response to the Wuhan, Delta, and Omicron strains. Mononuclear cells of vaccinated volunteers and survivors were subjected to N protein stimulation. After that specific activation of the cells was assessed by flow cytometry. The results showed that a sibstantial percentage of CD4 and CD8 cells produced IFNγ and IL2 in response to stimulation. No significant reduction of the response to strains Delta and Omicron compared to the Wuhan strain was revealed. The findings support the direction of the N protein based vaccine design towards creation of the universal vaccine. © 2022 Federal Medical Biological Agency Publishing Group. All Rights Reserved.

7.
Istanbul Medical Journal ; 23(4):310-315, 2022.
Article in English | Academic Search Complete | ID: covidwho-2144345

ABSTRACT

Introduction: The severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) associated pneumonia that emerged in Wuhan, China in December 2019 and was later declared by the World Health Organization to be a pandemic has called coronavirus disease-2019 (COVID-19). Our study aims to determine the anxiety levels, post-traumatic stress disorder (PTSD) symptoms levels and psychiatric symptoms of healthcare workers working at pandemic hospital and effects of these symptoms on psychological adjustment to healthcare professionals during the COVID-19 pandemic in Turkey. Methods: This study was cross-sectional survey study and conducted between March 2020-June 2020 with 973 consenting participants working at the pandemic hospital. For the study, we used an online questionnaire, which consisted of three parts: an online-informed consent, basic sociodemographic information and a set of online questions. The data were collected by the researchers. All procedures were approved by our hospital's Ethics Committee. Traumatic Stress Symptom Scale (TSSS) was used for the study. Results: Nine hundred and seventy-three persons participated in the study. Among the three groups, nurses also had the highest fear of dying during the COVID-19 pandemic (p<0.001);the highest feelings of hopelessness about the future during the COVID-19 pandemic (p<0.001);the highest increase in level of anxiety (p<0.001), and the highest experience of recent sleep disturbances (p<0.001). Women had a statistically significantly higher mean TSSS score and mean TSSS score of participants with doctors or medical specialization was lower than participants with other levels of education (p<0.001). Conclusion: Although the rate of PTSD was significantly higher in nurses in our study, PTSD was also seen in the other two groups. Indeed, it was much higher in people working in environments at high risk for COVID-19 than in the other groups. This may be the consequence of nurses' having greater exposure to COVID19-infected patients. This situation may be related to long working hours, inadequate rest and burnout. We recommend that healthcare workers work in the shift. [ FROM AUTHOR]

8.
JMIR Form Res ; 6(11): e37698, 2022 Nov 14.
Article in English | MEDLINE | ID: covidwho-2116576

ABSTRACT

BACKGROUND: On January 23, 2020, the city of Wuhan, China, was sealed off in response to the COVID-19 pandemic. Studies have found that the lockdown was associated with both positive and negative emotions, although their findings are not conclusive. In these studies, emotional responses to the Wuhan lockdown were identified using lexicons based on limited emotion types. OBJECTIVE: This study aims to map Chinese people's emotional responses to the Wuhan lockdown and compare Wuhan residents' emotions with those of people elsewhere in China by analyzing social media data from Weibo using a lexicon based on the circumplex model of affect. METHODS: Social media posts on Weibo from 2 weeks before to 2 weeks after the Wuhan lockdown was imposed (January 9, 2020, to February 6, 2020) were collected. Each post was coded using a valence score and an arousal score. To map emotional trajectories during the study period, we used a data set of 359,190 posts. To compare the immediate emotional responses to the lockdown and its longer-term emotional impact on Wuhan residents (n=1236) and non-Hubei residents (n=12,714), we used a second data set of 57,685 posts for multilevel modeling analyses. RESULTS: Most posts (248,757/359,190, 69.25%) made during the studied lockdown period indicated a pleasant mood with low arousal. A gradual increase in both valence and arousal before the lockdown was observed. The posts after the lockdown was imposed had higher valence and arousal than prelockdown posts. On the day of lockdown, the non-Hubei group had a temporarily boosted valence (γ20=0.118; SE 0.021; P<.001) and arousal (γ30=0.293; SE 0.022; P<.001). Compared with non-Hubei residents, the Wuhan group had smaller increases in valence (γ21=-0.172; SE 0.052; P<.001) and arousal (γ31=-0.262; SE 0.053; P<.001) on the day of lockdown. Weibo users' emotional valence (γ40=0.000; SE 0.001; P=.71) and arousal (γ40=0.001; SE 0.001; P=.56) remained stable over the 2 weeks after the lockdown was imposed regardless of geographical location (valence: γ41=-0.004, SE 0.003, and P=.16; arousal: γ41=0.003, SE 0.003, and P=.26). CONCLUSIONS: During the early stages of the pandemic, most Weibo posts indicated a pleasant mood with low arousal. The overall increase in the posts' valence and arousal after the lockdown announcement might indicate collective cohesion and mutual support in web-based communities during a public health crisis. Compared with the temporary increases in valence and arousal of non-Hubei users on the day of lockdown, Wuhan residents' emotions were less affected by the announcement. Overall, our data suggest that Weibo users were not influenced by the lockdown measures in the 2 weeks after the lockdown announcement. Our findings offer policy makers insights into the usefulness of social connections in maintaining the psychological well-being of people affected by a lockdown.

9.
Ann Glob Health ; 88(1): 83, 2022.
Article in English | MEDLINE | ID: covidwho-2067033

ABSTRACT

The emergence and global spread of the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is critical to understanding how to prevent or control a future viral pandemic. We review the tools used for this retrospective search, their limits, and results obtained from China, France, Italy and the USA. We examine possible scenarios for the emergence of SARS-CoV-2 in the human population. We consider the Chinese city of Wuhan where the first cases of atypical pneumonia were attributed to SARS-CoV-2 and from where the disease spread worldwide. Possible superspreading events include the Wuhan-based 7th Military World Games on October 18-27, 2019 and the Chinese New Year holidays from January 25 to February 2, 2020. Several clues point to an early regional circulation of SARS-CoV-2 in northern Italy (Lombardi) as soon as September/October 2019 and in France in November/December 2019, if not before. With the goal of preventing future pandemics, we call for additional retrospective studies designed to trace the origin of SARS-CoV-2.


Subject(s)
COVID-19 , COVID-19/epidemiology , China/epidemiology , Humans , Pandemics/prevention & control , Retrospective Studies , SARS-CoV-2
10.
Animals (Basel) ; 12(19)2022 Sep 28.
Article in English | MEDLINE | ID: covidwho-2065670

ABSTRACT

Considering the effects that the COVID-19 pandemic had and still has on human psychological health, it is expected that it might also affect household dogs' and cats' welfare. The current study explores the behavioral changes in dogs and cats before (BL) and during the lockdown (DL), as reported by their owners in China. Besides demographic parameters, variables related to the daily management of dogs and cats were analyzed in relation to behavioral problems, stress-related behaviors, and anxiety-related behaviors before and during the lockdown. A total of 261 questionnaires were collected. In general, behavioral problems and stress-related behaviors in dogs (p < 0.001) and cats (p < 0.001) decreased DL compared to BL, while anxiety-related behaviors in cats did not show any differences between the two periods considered. On the other hand, anxiety-related behaviors were more frequent in dogs DL (36.3%) compared to BL (35%), which were associated with reduced frequency of play activities with the owners (p = 0.016) and altered sleeping habits (p < 0.01). During the lockdown, dogs' and cats' daily routines and management (feeding and sleeping habits, dogs' walks, dogs' and cats' play activities, litter box management, and cats' lifestyle) experienced changes, but they were not associated with any behavioral issues. On the other hand, the behavioral issues considered for dogs and cats were more frequent BL, which were influenced by the daily management of the pets. The current study showed how critical the attention the owners can provide to the pets could be, to improve their companion animals' welfare. Therefore, it is important to provide pet owners with behavioral management support both during particularly difficult periods such as a lockdown and during regular daily routines.

11.
JMIR Public Health Surveill ; 8(10): e38450, 2022 10 20.
Article in English | MEDLINE | ID: covidwho-2065313

ABSTRACT

BACKGROUND: COVID-19 was first identified in December 2019 in the city of Wuhan, China. The virus quickly spread and was declared a pandemic on March 11, 2020. After infection, symptoms such as fever, a (dry) cough, nasal congestion, and fatigue can develop. In some cases, the virus causes severe complications such as pneumonia and dyspnea and could result in death. The virus also spread rapidly in the Netherlands, a small and densely populated country with an aging population. Health care in the Netherlands is of a high standard, but there were nevertheless problems with hospital capacity, such as the number of available beds and staff. There were also regions and municipalities that were hit harder than others. In the Netherlands, there are important data sources available for daily COVID-19 numbers and information about municipalities. OBJECTIVE: We aimed to predict the cumulative number of confirmed COVID-19 infections per 10,000 inhabitants per municipality in the Netherlands, using a data set with the properties of 355 municipalities in the Netherlands and advanced modeling techniques. METHODS: We collected relevant static data per municipality from data sources that were available in the Dutch public domain and merged these data with the dynamic daily number of infections from January 1, 2020, to May 9, 2021, resulting in a data set with 355 municipalities in the Netherlands and variables grouped into 20 topics. The modeling techniques random forest and multiple fractional polynomials were used to construct a prediction model for predicting the cumulative number of confirmed COVID-19 infections per 10,000 inhabitants per municipality in the Netherlands. RESULTS: The final prediction model had an R2 of 0.63. Important properties for predicting the cumulative number of confirmed COVID-19 infections per 10,000 inhabitants in a municipality in the Netherlands were exposure to particulate matter with diameters <10 µm (PM10) in the air, the percentage of Labour party voters, and the number of children in a household. CONCLUSIONS: Data about municipality properties in relation to the cumulative number of confirmed infections in a municipality in the Netherlands can give insight into the most important properties of a municipality for predicting the cumulative number of confirmed COVID-19 infections per 10,000 inhabitants in a municipality. This insight can provide policy makers with tools to cope with COVID-19 and may also be of value in the event of a future pandemic, so that municipalities are better prepared.


Subject(s)
COVID-19 , Child , Humans , Aged , COVID-19/epidemiology , Netherlands/epidemiology , Cities/epidemiology , Particulate Matter , Cough , Algorithms
12.
International Journal of Applied Earth Observation and Geoinformation ; 114:103026, 2022.
Article in English | ScienceDirect | ID: covidwho-2061418

ABSTRACT

An accurate estimation of trophic state of lakes with satellite remote sensing is a challenge due to the optical complexity and variability associated with inland waters. Match-up data from 393 sampling stations that has concurrent Sentinel-3 OLCI images were acquired across Wuhan lakes. Trophic Level Index (TLI) algorithms were developed within a global Optical Water Type (OWT) classification system. The performance of algorithms with limited training data gathered by using spectral similarity of highest Sowt was not improved compared with that on basis of no classification. In contrast, using spectral similarity of Sowt > 0.9 rather than the highest Sowt to group more training data with similar traits for each OWT can help build more robust algorithms, which performance is better than that on basis of no classification. Algorithm performance statistics of the test dataset for the stepwise multiple linear regression (SMLR) method were the following: Mean Absolute Error (MAE) = 5.56;Mean Absolute Percentage Error (MAPE) = 11.02 %;Root Mean Square Error (RMSE) = 7.24 and for the back propagation neural network on the basis of the Levenberg-Marquardt-Bayesian regularization algorithm (LMBR-BPNN) method MAE = 4.56;MAPE = 8.33 %;RMSE = 5.98. We detected 8 different OWTs (2,3,4,5,9,10,11,12) in Wuhan lakes and clear spatio-temporal patterns of the trophic state between 2018 and 2020.Our results revealed that the trophic state of Wuhan lakes did not decrease as expected during the COVID-19 lockdown period.

13.
Covid-19 Salgın Sürecinde Uzaktan Eğitim Ortamlarının Kullanımına &Iacute ; lişkin Yükseköğretim Öğrencilerinin Tutumları.; 32(3):995-1011, 2022.
Article in English | Academic Search Complete | ID: covidwho-2056646

ABSTRACT

The aim of this research is to examine the attitudes of students studying in undergraduate departments of universities towards the use of distance education environments due to the COVID-19 epidemic detected in the city of Wuhan, Hubei province of the People's Republic of China. The method of the research;mixed method. The population of the research consists of 152 undergraduate students. Data collection tools of the research;the first vehicle;"Attitude scale regarding the use of distance education environments in the pandemic process" is the second tool in the research;it consists of a semi-structured interview form prepared by the researcher. Analysis of data;the data were analyzed in two ways. Firstly, ward technique, one of the hierarchical clustering analysis methods, was used and square Euclidean distance was chosen as a distance measure. Differences in attitudes towards the use of distance education environments according to ward's cluster analysis technique;it is classified into three clusters: Effectiveness and Satisfaction, Motivation and Dissatisfaction. After the classification, a random semi-structured interview form was applied to two students in each cluster formed. As a result;it has been concluded that students have positive and negative opinions about distance education activities. (English) [ FROM AUTHOR] Bu araştırmanın amacı, Çin Halk Cumhuriyeti'nin Hubei eyaletine bağlı Wuhan şehrinde tespit edilen COVID-19 salgın nedeniyle üniversitelerin lisans bölümlerinde okuyan öğrencilerin uzaktan eğitim ortamlarının kullanımına ilişkin tutumlarını incelemektir. Araştırmanın yöntemi;karma yöntemdir. Araştırmanın evrenini 152 lisans öğrencisi oluşturmaktadır. Araştırmanın veri toplama araçları;Ílk araç;Araştırmada "Pandemi sürecinde uzaktan eğitim ortamlarının kullanımına ilişkin tutum ölçeği" ikinci araç;araştırmacı tarafından hazırlanan yarı yapılandırılmış görüşme formundan oluşmaktadır. Verilerin analizi;veriler iki şekilde analiz edilmiştir. Ílk olarak hiyerarşik kümeleme analiz yöntemlerinden ward tekniği kullanılmış ve uzaklık ölçüsü olarak kare öklid uzaklığı seçilmiştir. ward'ın kümeleme analizi tekniğine göre uzaktan eğitim ortamlarının kullanımına yönelik tutum farklılıkları;Üç kümede sınıflandırılmıştır: Etkililik ve Memnuniyet, Motivasyon ve Memnuniyetsizliktir. Sınıflandırmadan sonra oluşturulan her kümede ikişer öğrenciye rastgele yarı yapılandırılmış görüşme formu uygulanmıştır. Sonuç olarak;öğrencilerin uzaktan eğitim etkinlikleri hakkında olumlu ve olumsuz görüşlere sahip oldukları sonucuna ulaşılmıştır. (Turkish) [ FROM AUTHOR] Copyright of Firat University Journal of Social Sciences / Sosyal Bilimler Dergisi is the property of Firat University, Social Sciences Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

14.
Coronavirus Drug Discovery: Volume 1: SARS-CoV-2 (COVID-19) Prevention, Diagnosis, and Treatment ; : 101-135, 2022.
Article in English | Scopus | ID: covidwho-2048782

ABSTRACT

This chapter details the various therapeutic options available for the treatment of the novel coronavirus, SARS-CoV-2, that has brought the world to a standstill. As at 3.53 CEST, June 28, 2020, WHO reported 9,843,073 confirmed cases of COVID-19, with a death toll of 495,760. The rate of the spread of this disease is alarming posing serious threat to the world healthcare system. Clinical investigations and research are on the way for the development of vaccines or antiviral drugs. Despite this effort, no medication has been found to be very effective for its treatment. In this chapter, emphasis was laid on the need for repurposing of antiviral drugs to combat COVID-19 along with other alternatives such as convalescent plasma therapy and exploitation of drugs from medicinal plants and other natural resources. © 2022 Elsevier Inc. All rights reserved.

15.
3rd International Conference on Experimental and Computational Mechanics in Engineering, ICECME 2021 ; : 116-123, 2023.
Article in English | Scopus | ID: covidwho-2048184

ABSTRACT

Corona Virus (COVID-19) is a virus that is endemic almost all over the world, including Indonesia. COVID-19 was first confirmed by the World Health Organization (WHO) on December 31, 2019, in Wuhan City, Hubei Province, China, and then rapidly expanded outside of China. To suppress the Covid-19 case, medical volunteers are needed as the main actors in efforts to handle Covid-19 patients. This makes health care facilities also need to focus on the principles of health worker safety, not only focus on the principles of patient safety. This also makes health care facilities also need to focus on the principles of health worker safety, not only focus on the principles of patient safety. The use of hazmat clothes is one of the efforts to protect health workers when in contact with Covid-19 patients. Hazmat clothes are technically referred to as “encapsulated waterproof protective clothing” which is PPE that must be used for officers from the risk of contracting the Covid-19 virus through airborne droplets and contact with patients and patient body fluids. Although hazmat clothing is an important PPE for health workers to stay protected, the use of hazmat clothing for a long time often makes medical personnel feel uncomfortable when providing services. Based on the problems above, the researchers conducted a study on the heat pipe - thermoelectric hazmat suit cooling vest. This technology can absorb more heat than other methods by simply applying the principle of capillarity to the wicks on the pipe walls. schematic of testing a cooling vest on a hazmat suit. The loading on the thermoelectric is given through the DC - Power supply. The temperature data read by the sensor will be detected by the computer system using the NI 9123 and C-DAQ 9174 modules. The test results can be viewed using the NI LabView 2017 software. The temperature used in this experiment is the result of tests carried out for 30 min. Based on the tests that have been carried out, the heat pipe-based thermoelectric hazmat suit cooling vest has been able to reach the lowest thermoelectric temperature of 24,42 ∘C, which is distributed through heat pipes to body parts. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

16.
Vaccines (Basel) ; 10(9)2022 Sep 19.
Article in English | MEDLINE | ID: covidwho-2044026

ABSTRACT

More than a year after the first vaccines against the novel SARS-CoV-2 were approved, many questions still remain about the long-term protection conferred by each vaccine. How long the effect lasts, how effective it is against variants of concern and whether further vaccinations will confer additional benefits remain part of current and future research. For this purpose, we examined 182 health care employees-some of them with previous SARS-CoV-2 infection-12 months after different primary immunizations. To assess antibody responses, we performed an electrochemiluminescence assay (ECLIA) to determine anti-spike IgGs, followed by a surrogate virus neutralization assay against Wuhan-Hu-1 and B.1.1.529/BA.1 (Omicron). T cell response against wild-type and the Omicron variants of concern were assessed via interferon-gamma ELISpot assays and T-cell surface and intracellular cytokine staining. In summary, our results show that after the third vaccination with an mRNA vaccine, differences in antibody quantity and functionality observed after different primary immunizations were equalized. As for the T cell response, we were able to demonstrate a memory function for CD4+ and CD8+ T cells alike. Importantly, both T and antibody responses against wild-type and omicron differed significantly; however, antibody and T cell responses did not correlate with each other and, thus, may contribute differentially to immunity.

17.
Ieee Access ; 10:95106-95124, 2022.
Article in English | Web of Science | ID: covidwho-2042709

ABSTRACT

The novel coronavirus (nCOV) is a new strain that needs to be hindered from spreading by taking effective preventive measures as swiftly as possible. Timely forecasting of COVID-19 cases can ultimately support in making significant decisions and planning for implementing preventive measures. In this study, three common machine learning (ML) approaches via linear regression (LR), sequential minimal optimization (SMO) regression, and M5P techniques have been discussed and implemented for forecasting novel coronavirus disease-2019 (COVID-19) pandemic scenarios. To demonstrate the forecast accuracy of the aforementioned ML approaches, a preliminary sample-study has been conducted on the first wave of the COVID-19 pandemic scenario for three different countries including the United States of America (USA), Italy, and Australia. Furthermore, the contributions of this study are extended by conducting an in-depth forecast study on COVID-19 pandemic scenarios for the first, second, and third waves in India. An accurate forecasting model has been proposed, which has been constructed on the basis of the results of the aforementioned forecasting models of COVID-19 pandemic scenarios. The findings of the research highlight that LR is a potential approach that outperforms all other forecasting models tested herein in the present COVID-19 pandemic scenario. Finally, the LR approach has been used to forecast the likely onset of the fourth wave of COVID-19 in India.

18.
Chinese General Practice ; 25(24):2975-2983, 2022.
Article in Chinese | Scopus | ID: covidwho-2040416

ABSTRACT

Background There were many hypertensive patients at non-high risk of developing COVID-19 that needed to be medical observation at home, but the changes in their blood pressure and measurement frequency as well as heart rate during the period are still unclear. Objective To perform an analysis of the changes in blood pressure and measurement frequency as well as heart rate in hypertensive patients that needed to be medical observation at home. Methods Through the iHealth cloud platform, data〔including age, sex, systolic blood pressure(SBP) and diastolic blood pressure(DBP)measured by the iHealth Clear (BPM1) at home, and heart rate〕were collected from December 1st, 2019 to March 27th, 2020, involving all hypertensive patients in Wuhan who had an ID number for consecutively uploading blood pressure readings, and were desensitized for removing the confidential information. The features of blood pressure during the period were analyzed. ARIMAX model was used to assess the association of age, sex, number of confirmed COVID-19 cases per day, cumulative confirmed COVID-19 deaths, time granularity and the traffic control with participants' blood pressure and hear rates. Results In total, blood pressure readings of 36 472 measurements by the participants using 1 232 iHealth Clear (BPM1) were collected during the 118-day period. Men demonstrated higher mean SBP, DBP and heart rate than women(P<0.05). After January 23, 2020, the mean SBP of the participants decreased from (141±19)mm Hg to (138±18)mm Hg(P<0.05). The analysis using the ARIMAX model revealed that after adjusting for month, week, age and number of confirmed COVID-19 cases per day, male participants showed a decrease in blood pressure(βSBP=-1.08×10-3, P=0.028, βDBP=-6.35×10-4, P=0.002), and an increase in heart rate (βHR=2.02, P=0.003)and measurement frequency (βtimes=0.035, P=0.002). But no significant changes were seen in females(P<0.05). Conclusion In general, among hypertensive patients that needed to be medical observation at home, males were found with higher mean SBP, DBP, heart rate and blood pressure measurement frequency. And these hypertensive patients were found with decreased SBP and DBP after the implementation of traffic control. Using the Internet to store blood pressure data measured by the home blood pressure monitor for data assessment and treatment, is contribute to out-of-hospital management of blood pressure in hypertensive patients, which demonstrates the significance of Internet in combination with healthcare. © 2022 Chinese General Practice. All rights reserved.

19.
Headache ; 62(9): 1148-1152, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-2037984

ABSTRACT

OBJECTIVE: This study looked at differences in the presence of headache as an onset symptom of coronavirus disease 2019 (COVID-19) and as a post-COVID-19 symptom in individuals previously hospitalized owing to infection with the Wuhan, Alpha, or Delta variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). BACKGROUND: Headache can be present in up to 50% of individuals during the acute phase of SARS-CoV-2 infection and in 10% of subjects during the post-COVID-19 phase. There are no data on differences in the occurrence of headache in the acute- and post-COVID-19 phase according to the SARS-CoV-2 variants. METHODS: A cross-sectional cohort study was conducted. Unvaccinated subjects previously hospitalized for COVID-19 caused by the Wuhan (n = 201), Alpha (n = 211), or Delta (n = 202) SARS-CoV-2 variants were scheduled for a telephone interview 6 months after hospital discharge. Hospitalization data were collected from hospital medical records. RESULTS: The presence of headache as a COVID-19 onset symptom at hospitalization was higher in subjects with the Delta variant (66/202, 32.7%) than in those infected with the Wuhan (42/201, 20.9%; odds ratio [OR] 1.83, 95% confidence interval [CI] 1.17-2.88) or Alpha (25/211, 11.8%; OR 3.61, 95% CI, 2.16-6.01) variants. The prevalence of post-COVID-19 headache 6 months after hospital discharge was higher in individuals infected with the Delta variant (26/202, 12.9%) than in those infected with the Wuhan (11/201, 5.5%; OR 2.52, 95% CI 1.22-5.31) or Alpha (eight of 211, 3.8%; OR 3.74, 95% CI 1.65-8.49) variants. The presence of headache as a COVID-19 onset symptom was associated with post-COVID-19 headache in subjects infected with the Wuhan (OR 7.75, 95% CI 2.15-27.93) and Delta variants (OR 2.78, 95% CI 1.20-6.42) but not with the Alpha variant (OR 2.60, 95% CI 0.49-13.69). CONCLUSION: Headache was a common symptom in both the acute- and post-COVID-19 phase in subjects infected with the Wuhan, Alpha, and Delta variants but mostly in those infected with the Delta variant.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , COVID-19/complications , COVID-19/epidemiology , Cross-Sectional Studies , Hospitalization , Headache/epidemiology , Headache/etiology , Survivors
20.
Jpn J Infect Dis ; 2022 Aug 31.
Article in English | MEDLINE | ID: covidwho-2025428

ABSTRACT

We investigated epidemiological findings regarding the route of coronavirus disease 2019 (COVID-19) and infection prevention and control (IPC) measures among returnees in the emergent evacuation from Wuhan, China to Japan under the COVID-19 outbreak in 2020. A total of 12 of 14 returnees (median age [range]: 49.5 years [29-65 years]; 9 men [75%]) were confirmed COVID-19. The proportions of returnees with COVID-19 were 12/566 (2.1%) in the 1-3 flights and 2/263 (0.8%) in the 4-5 flights. Six patients were asymptomatic on admission, while three patients developed symptoms thereafter. None reported a specific history of contact with animals, going to seafood markets, or visiting medical facilities. Two patients contacted with an individual confirmed or suspected to have COVID-19, respectively. Most patients resided in hotels in the center of Wuhan city, taking taxis and trains to work and supermarkets. Patients relatively adhered to IPC measures such as wearing a mask and hand hygiene. However, emphasis on IPC measures such as universal masking and more rigorous avoidance of exposure risk may have been necessary to prevent infection. In addition, forced social distancing due to lockdown might contribute to the lower infection rates in Flights 4 and 5, compared to Flights 1-3.

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