scholarly journals SARS-COV-2 Pandemic in Syria: Symptoms and Treatments

2021 ◽  
Vol 8 (7) ◽  
Keyword(s):  
Human Life ◽  
Human Case ◽  
Immunomodulatory Drugs ◽  
Shortness Of Breath ◽  
Clinical Recovery ◽  
Global Pandemic ◽  
First Case

ABSTRACT SARS-CoV-2 has caused global pandemic that resulted in a dramatic loss of human life worldwide. The first human case was reported in December 2019 in China, and while the first case in Syria was confirmed on March 2020. By July 1st, 2021, 25551 cases were reported in Syria with 1879 deaths. The most common symptoms of covid-19 are fever, dry cough, and shortness of breath. Some patients may endure from musculoskeletal, gastrointestinal and dermatologic symptoms. Many drugs (including antibiotics, corticosteroids, antiviral and Immunomodulatory drugs) have been evaluated and recommended to be used in COVID-19 treatment, resulting in clinical recovery. Keywords: SARS-CoV-2, Syria, pandemic, remdesivir, corticosteroids, antiviral Keyword : SARS-CoV-2, Syria, pandemic, remdesivir, corticosteroids, antiviral

scholarly journals Early detection of COVID-19 pandemic: evidence from Baidu Index

2020 ◽  
Author(s):  
Bizhi Tu ◽  
Laifu Wei ◽  
Yaya Jia ◽  
Jun Qian
Keyword(s):  
Search Engine ◽  
Human Life ◽  
Systems Science ◽  
Shortness Of Breath ◽  
Daily Growth ◽  
Global Pandemic ◽  
Sputum Production ◽  
Precautionary Measures ◽  
Index Value ◽  
Search Index

Abstract Background: New coronavirus disease 2019 (COVID-19) poses a severe threat to human life, and causes a global pandemic. The purpose of current research is to explore the onset and progress of the pandemic with a novel perspective using Baidu Index.Methods: We collected the confirmed data of COVID-19 infection between January 11, 2020, and April 22, 2020, from the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). Based on known literature, we obtained the search index values of the most common symptoms of COVID-19, including fever, cough, fatigue, sputum production, and shortness of breath. Spearman's correlation analysis was used to analyze the association between the Baidu index values for each COVID-19-related symptoms and the number of confirmed cases. Regional differences among 34 provinces/ regions were also analyzed. Results: Daily growth of confirmed cases and Baidu index values for each symptoms presented a robust positive correlation during the outbreak (fever: rs=0.705, p=9.623×10-6; cough: rs=0.592, p=4.485×10-4; fatigue: rs=0.629, p=1.494×10-4; sputum production: rs=0.648, p=8.206×10-5; shortness of breath: rs=0.656, p=6.182×10-5). The average search-to-confirmed interval is 19.8 days in China (fever: 22 days, cough: 19 days, fatigue: 20 days, sputum production: 19 days, and shortness of breath: 19 days). We discovered similar results in the top 10 provinces/regions, which had the highest cumulative cases. Conclusion: Search terms of COVID-19- related symptoms on the Baidu search engine can be used to early warn the outbreak of the epidemic. Relevant departments need to pay more attention to areas with high search index and take precautionary measures to prevent these potentially infected persons from spreading further. Baidu search engine can reflect the public's attention to the pandemic and regional epidemics of viruses. Based on changes in the Baidu index value, we can predict the arrival of the peak confirmed cases. The clinical characteristics related to COVID-19- including fever, cough, fatigue, shortness of breath, deserve more attention during the pandemic.

scholarly journals Using Baidu search values to monitor and predict the confirmed cases of COVID-19 in China: – evidence from Baidu Index 

2020 ◽  
Author(s):  
Bizhi Tu ◽  
Laifu Wei ◽  
Yaya Jia ◽  
Jun Qian
Keyword(s):  
Search Engine ◽  
Human Life ◽  
Systems Science ◽  
Optimal Time ◽  
Time Lags ◽  
Shortness Of Breath ◽  
Daily Growth ◽  
Global Pandemic ◽  
Sputum Production ◽  
Precautionary Measures

Abstract Background: New coronavirus disease 2019 (COVID-19) poses a severe threat to human life and causes a global pandemic. The purpose of current research is to explore whether the search-engine query patterns could serve as a potential tool for monitoring the outbreak of COVID-19.Methods: We collected the number of COVID-19 confirmed cases between January 11, 2020, and c, from the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). The search index values of the most common symptoms of COVID-19 (e.g., fever, cough, fatigue) were retrieved from Baidu Index. Spearman's correlation analysis was used to analyze the association between the Baidu index values for each COVID-19-related symptom and the number of confirmed cases. Regional distributions among 34 provinces/ regions in China were also analyzed. Results: Daily growth of confirmed cases and Baidu index values for each COVID-19 related symptoms presented a robust positive correlation during the outbreak (fever: rs=0.705, p=9.623×10-6; cough: rs=0.592, p=4.485×10-4; fatigue: rs=0.629, p=1.494×10-4; sputum production: rs=0.648, p=8.206×10-5; shortness of breath: rs=0.656, p=6.182×10-5). The average search-to-confirmed interval is 19.8 days in China. The daily Baidu Index value's optimal time lags were the fourth day for cough, third day for fatigue, firth day for sputum production, firth day for shortness of breath, and 0 days for fever. Conclusion: Search terms of COVID-19-related symptoms on the Baidu search engine have significant correlations with confirmed cases. Since the Baidu search engine can reflect the Public's attention to the pandemic and regional epidemics of viruses, relevant departments need to pay more attention to areas with high searches of COVID-19-related symptoms and take precautionary measures to prevent these potentially infected persons from further spreading.

Forecast of COVID-19 Cases in Nigeria: An implementation of an ARIMA model (Preprint)

2020 ◽  
Author(s):  
Sanyaolu Ameye ◽  
Michael Awoleye ◽  
Emmanuel Agogo ◽  
Ette Etuk
Keyword(s):  
Predictive Model ◽  
Time Series Data ◽  
Moving Average ◽  
Arima Model ◽  
Epidemiological Data ◽  
Series Data ◽  
Global Pandemic ◽  
First Case ◽  
Epidemiological Trend ◽  
Data Points

BACKGROUND The Coronavirus disease 2019 (COVID-2019) is a global pandemic and Nigeria is not left out in being affected. Though, the disease is just over three months since first case was identified in the country, we present a predictive model to forecast the number of cases expected to be seen in the country in the next 100 days. OBJECTIVE To implement a predictive model in forecasting the near future number of positive cases expected in the country following the present trend METHODS We performed an Auto Regressive Integrated Moving Average (ARIMA) model prediction on the epidemiological data obtained from Nigerian Centre for Disease Control to predict the epidemiological trend of the prevalence and incidence of COVID-2019. RESULTS There were 93 time series data points which lacked stationarity. From our ARIMA model, it is expected that the number of new cases declared per day will keep rising and towards the early September, 2020, Nigeria is expected to have well above sixty thousand confirmed cases. CONCLUSIONS We however believe that as we have more data points our model will be better fine-tuned.

scholarly journals Trend of COVID-19 cases and health sector response in Nepal

2020 ◽  
Vol 1 (1) ◽  
pp. 51-57
Author(s):  
Meghnath Dhimal ◽  
Tamanna Neupane ◽  
Samir Kumar Adhikari ◽  
Pradip Gyanwali
Keyword(s):  
Health Sector ◽  
Joint Effort ◽  
Virus Diseases ◽  
Public Places ◽  
Global Trends ◽  
Epidemic Curve ◽  
Global Pandemic ◽  
First Case ◽  
Government Documents ◽  
Isolation Facilities

We are facing global pandemic of novel corona virus diseases COVID-19 which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This paper is aimed to assess trend of COVID-19 cases and health sector response in Nepal. We reviewed WHO databases to observe the global trends and epidemiology of COVID-19 as well as daily situation updated reports of Health Emergency and Operation Centre (HEOC), guidelines, national and international government documents. The first case of COVID was reported in Nepal on 23 January 2020 and number of cases reached 454 on 21 May 2020. In order to address the increasing number of cases of COVID-19, Government of Nepal is adopting various preventive measures like extending lockdown period, setting up quarantine and isolation facilities, sealing borders, suspending flights, closing public places etc. There is need of joint effort by individuals, communities and government to prevent the further spread and flatten epidemic curve in Nepal.

scholarly journals ‘Long COVID’ syndrome

2021 ◽  
Vol 14 (4) ◽  
pp. e241485
Author(s):  
Priyal Taribagil ◽  
Dean Creer ◽  
Hasan Tahir
Keyword(s):  
Public Health ◽  
Cognitive Deficits ◽  
Recent Literature ◽  
Complex Case ◽  
Shortness Of Breath ◽  
Gastrointestinal Dysfunction ◽  
Health Crisis ◽  
Public Health Crisis ◽  
Global Pandemic ◽  
Poor Memory

SARS-CoV-2 has resulted in a global pandemic and an unprecedented public health crisis. Recent literature suggests the emergence of a novel syndrome known as ‘long COVID’, a term used to describe a diverse set of symptoms that persist after a minimum of 4 weeks from the onset of a diagnosed COVID-19 infection. Common symptoms include persistent breathlessness, fatigue and cough. Other symptoms reported include chest pain, palpitations, neurological and cognitive deficits, rashes, and gastrointestinal dysfunction. We present a complex case of a previously well 28-year-old woman who was diagnosed with COVID-19. After resolution of her acute symptoms, she continued to experience retrosternal discomfort, shortness of breath, poor memory and severe myalgia. Investigations yielded no significant findings. Given no alternative diagnosis, she was diagnosed with ‘long COVID’.

scholarly journals Progression and Trends in Virus from Influenza A to COVID-19: An Overview of Recent Studies

Viruses ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1145
Author(s):  
Hakimeh Baghaei Daemi ◽  
Muhammad Fakhar-e-Alam Kulyar ◽  
Xinlin He ◽  
Chengfei Li ◽  
Morteza Karimpour ◽  
...  
Keyword(s):  
Influenza A ◽  
H1n1 Virus ◽  
World Health ◽  
H1n1 Pandemic ◽  
Global Pandemic ◽  
First Case ◽  
Influenza A H1n1 ◽  
The World ◽  
Novel Coronavirus ◽  
Health Organization

Influenza is a highly known contagious viral infection that has been responsible for the death of many people in history with pandemics. These pandemics have been occurring every 10 to 30 years in the last century. The most recent global pandemic prior to COVID-19 was the 2009 influenza A (H1N1) pandemic. A decade ago, the H1N1 virus caused 12,500 deaths in just 19 months globally. Now, again, the world has been challenged with another pandemic. Since December 2019, the first case of a novel coronavirus (COVID-19) infection was detected in Wuhan. This infection has risen rapidly throughout the world; even the World Health Organization (WHO) announced COVID-19 as a worldwide emergency to ensure human health and public safety. This review article aims to discuss important issues relating to COVID-19, including clinical, epidemiological, and pathological features of COVID-19 and recent progress in diagnosis and treatment approaches for the COVID-19 infection. We also highlight key similarities and differences between COVID-19 and influenza A to ensure the theoretical and practical details of COVID-19.

Towards the New Post-2020 Global Biodiversity Framework

2021 ◽  
pp. 1-9
Author(s):  
Elizabeth Maruma Mrema
Keyword(s):  
Human Rights ◽  
Biological Diversity ◽  
Human Life ◽  
Global Pandemic ◽  
The World ◽  
Global Biodiversity

While 2020 –dubbed the “Super Year for Nature –has seen the world battling an unforeseen global pandemic, this article comes back on the Convention of Biological Diversity and its regime, studies the aim of the negotiations of the post-2020 global biodiversity framework and the relevance of this framework for the planet, considering that the protection of biological diversity impacts all aspects of human life, including the full enjoying of human rights and protection against future pandemics.

scholarly journals A Systematic Review of Characteristics Associated with COVID-19 in Children with Typical Presentation and with Multisystem Inflammatory Syndrome

2021 ◽  
Vol 18 (16) ◽  
pp. 8269
Author(s):  
Jeffrey Kornitzer ◽  
Jacklyn Johnson ◽  
Max Yang ◽  
Keith W. Pecor ◽  
Nicholas Cohen ◽  
...  
Keyword(s):  
Systematic Review ◽  
Sore Throat ◽  
Literature Search ◽  
Clinical Presentation ◽  
Pediatric Population ◽  
Chinese Language ◽  
Clinical Information ◽  
Shortness Of Breath ◽  
Global Pandemic ◽  
Inflammatory Syndrome

Setting off a global pandemic, coronavirus disease 2019 (COVID-19) has been marked by a heterogeneous clinical presentation that runs the gamut from asymptomatic to severe and fatal. Although less lethal in children than adults, COVID-19 has nonetheless afflicted the pediatric population. This systematic review used clinical information from published literature to assess the spectrum of COVID-19 presentation in children, with special emphasis on characteristics associated with multisystem inflammatory syndrome (MIS-C). An electronic literature search for English and Chinese language articles in COVIDSeer, MEDLINE, and PubMed from 1 January 2020 through 1 March 2021 returned 579 records, of which 54 were included for full evaluation. Out of the total 4811 patients, 543 (11.29%) exhibited MIS-C. The most common symptoms across all children were fever and sore throat. Children presenting with MIS-C were less likely to exhibit sore throat and respiratory symptoms (i.e., cough, shortness of breath) compared to children without MIS-C. Inflammatory (e.g., rash, fever, and weakness) and gastrointestinal (e.g., nausea/vomiting and diarrhea) symptoms were present to a greater extent in children with both COVID-19 and MIS-C, suggesting that children testing positive for COVID-19 and exhibiting such symptoms should be evaluated for MIS-C.

scholarly journals An Overview of Post-COVID-19 Patient’s Health Monitoring Systems

2021 ◽  
Vol 7 (10) ◽  
pp. 61-67
Author(s):  
Chirag Satapathy, Hrishikesh Gokhale, Ali Zoya Syed, Keerti Srivastava and Ruban Nersisson
Keyword(s):  
Health Monitoring ◽  
Human Life ◽  
Vital Role ◽  
Health Conditions ◽  
Smart Sensors ◽  
Monitoring Systems ◽  
Comprehensive Review ◽  
Global Pandemic ◽  
Health Monitoring Systems ◽  
Time Basis

COVID-19 is a global pandemic infecting human life. There are many patients who have recovered from this deadly virus and need to be monitored constantly even when they are at home. IoT plays a vital role in health systems that help to monitor patient’s health conditions. These healthcare frameworks consist of smart sensors to keep a track of patient’s vitals on a real-time basis. These systems will help bridge gaps between the patients and doctors during the pandemic situation. In order to make our system competitive against the already existing devices, we prepared a comprehensive review where we extensively studied other products and compared them to find what's best for the patients.

scholarly journals Improved health education for pregnant women in performing antenatal care in the COVID-19 pandemic

2021 ◽  
Vol 6 (4) ◽  
pp. 526-533
Author(s):  
Lestari Sudaryanti ◽  
Amellia Mardhika ◽  
Arina Qona’ah ◽  
Anestasia Pangestu Mei Tyas ◽  
Muhammad Ardian Cahya Laksana
Keyword(s):  
High Risk ◽  
Health Education ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Community Service ◽  
Human Life ◽  
Global Pandemic ◽  
Score Card ◽  
Post Test ◽  
Level Of Knowledge

COVID-19 has been declared by WHO as a global pandemic. COVID-19 affects various lines of human life, especially the health aspect. East Java has ranked second in the COVID-19 cases in Indonesia. One of the efforts made to reduce the spread of COVID-19 is through clean and healthy activities and behaviors stay at home causes people to be limited in their activities except for very important purposes, especially activities for pregnant women. Pregnant women must and should carry out regular antenatal care checks. COVID-19 causes anxiety problems and worries for pregnant women to leave the house, including having pregnancy checks. But the mother is also worried about the condition and development of the fetus. This will increase the risk of maternal and infant mortality and the SDGs target in the third objective will not be met. This community service aims to provide knowledge related to antenatal care to high-risk using Poedji Rochyati Score Card (score 6-10) and very high-risk pregnant women (score 12) during the COVID-19 period. The method used in the implementation of this community service is material from resource persons, implementation of health education, and evaluation. The pregnant women were very enthusiastic about participating in this event, it was seen from the questions given to the team and vice versa. The results of the questionnaire show that there are differences in the level of knowledge of pregnant women for pre-test and post-test.

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