scholarly journals Epidemiological and clinical characteristics of severe fever with thrombocytopenia syndrome bunyavirus human-to-human transmission

2021 ◽  
Vol 15 (4) ◽  
pp. e0009037
Author(s):  
Xinyu Fang ◽  
Jianli Hu ◽  
Zhihang Peng ◽  
Qigang Dai ◽  
Wendong Liu ◽  
...  
Keyword(s):  
South Korea ◽  
Clinical Characteristics ◽  
Eastern China ◽  
Transmission Risk ◽  
Basic Reproductive Number ◽  
World Health ◽  
Reproductive Number ◽  
Health Organization ◽  
Associated Risk Factors ◽  
Severe Fever

Background Severe fever with thrombocytopenia syndrome (SFTS) was listed as one of the most severe infectious disease by world health organization in 2017. It can mostly be transmitted by tick bite, while human-to-human transmission has occurred on multiple occasions. This study aimed to explore the epidemiological and clinical characteristics and make risk analysis of SFTS human-to-human transmission. Methods Descriptive and spatial methods were employed to illustrate the epidemiological and clinical characteristics of SFTS human-to-human transmission. The risk of SFTS human-to-human transmission was accessed through secondary attack rate (SAR) and basic reproductive number (R0). Logistic regression analysis was used to identify the associated risk factors. Results A total of 27 clusters of SFTS human-to-human transmission were reported in China and South Korea during 1996–2019. It mainly occurred among elder people in May, June and October in central and eastern China. The secondary cases developed milder clinical manifestation and better outcome than the index cases. The incubation period was 10.0 days (IQR:8.0–12.0), SAR was 1.72%-55.00%, and the average R0 to be 0.13 (95%CI:0.11–0.16). Being blood relatives of the index case, direct blood/bloody secretion contact and bloody droplet contact had more risk of infection (OR = 6.35(95%CI:3.26–12.37), 38.01 (95%CI,19.73–73.23), 2.27 (95%CI,1.01–5.19)). Conclusions SFTS human-to-human transmission in China and South Korea during 1996–2019 had obvious spatio-temporal distinction. Ongoing assessment of this transmission risk is crucial for public health authorities though it continues to be low now.

scholarly journals Assessment of Pandemics Impact on Public Health and Aviation Sector by Using Mathematical Modelling

2020 ◽  
pp. 14-21
Author(s):  
Peter Szabó ◽  
Miroslava Ferencová ◽  
Eva Szabóová
Keyword(s):  
Public Health ◽  
Mathematical Model ◽  
Mathematical Modelling ◽  
Air Traffic ◽  
Basic Reproductive Number ◽  
World Health ◽  
Viral Diseases ◽  
Reproductive Number ◽  
Health Organization ◽  
The Individual

The article researches the COVID-19 pandemic impact on the air traffic and aviation sector. The airlines alike the individual countries are introducing the measures intending to stop the COVID-19 pandemic spread. These measures might have a significant impact on the public health of the inhabitants. In the article, the authors assess the viral diseases spread by using mathematical modelling. The first general mathematical model includes the basic epidemiological parameters (basic reproductive number, incubation period, and population). The objective of this model is to explain the basic terms and processes during the transmission of viral diseases. The second mathematical model includes the data analysis of the COVID-19 virus spread in individual countries. The data source for this analysis is the World Health Organization (WHO). A unique protocol to measure viral diseases spread does not exist, hence, the data from this analysis cannot be comparable. Nevertheless, the research results might be useful for public health as well as for the life’s segments where the air traffic and airlines belong to.

scholarly journals Effectiveness of Face Masks in Reducing the Spread of COVID-19: A Model-Based Analysis

2021 ◽  
pp. 0272989X2110190
Author(s):  
Isabelle J. Rao ◽  
Jacqueline J. Vallon ◽  
Margaret L. Brandeau
Keyword(s):  
New York ◽  
Infected Individual ◽  
Disease Model ◽  
World Health ◽  
Sensitivity Analyses ◽  
Reproductive Number ◽  
Social Distancing ◽  
Health Organization ◽  
Almost All ◽  
Mask Effectiveness

Background The World Health Organization and US Centers for Disease Control and Prevention recommend that both infected and susceptible people wear face masks to protect against COVID-19. Methods We develop a dynamic disease model to assess the effectiveness of face masks in reducing the spread of COVID-19, during an initial outbreak and a later resurgence, as a function of mask effectiveness, coverage, intervention timing, and time horizon. We instantiate the model for the COVID-19 outbreak in New York, with sensitivity analyses on key natural history parameters. Results During the initial epidemic outbreak, with no social distancing, only 100% coverage of masks with high effectiveness can reduce the effective reproductive number [Formula: see text] below 1. During a resurgence, with lowered transmission rates due to social distancing measures, masks with medium effectiveness at 80% coverage can reduce [Formula: see text] below 1 but cannot do so if individuals relax social distancing efforts. Full mask coverage could significantly improve outcomes during a resurgence: with social distancing, masks with at least medium effectiveness could reduce [Formula: see text] below 1 and avert almost all infections, even with intervention fatigue. For coverage levels below 100%, prioritizing masks that reduce the risk of an infected individual from spreading the infection rather than the risk of a susceptible individual from getting infected yields the greatest benefit. Limitations Data regarding COVID-19 transmission are uncertain, and empirical evidence on mask effectiveness is limited. Our analyses assume homogeneous mixing, providing an upper bound on mask effectiveness. Conclusions Even moderately effective face masks can play a role in reducing the spread of COVID-19, particularly with full coverage, but should be combined with social distancing measures to reduce [Formula: see text] below 1. [Box: see text]

scholarly journals Diabetes Mellitus and Its Associated Risk Factors among adult Population in Bisha Province, Southwest of Saudi Arabia

2016 ◽  
Vol 9 (6) ◽  
pp. 22 ◽  
Author(s):  
Abdullah M. Al-Shahrani ◽  
Mohammed A. Al-Saleem ◽  
Mohamed O’haj ◽  
Faleh Th. Mohammed ◽  
Mutasim E. Ibrahim
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Healthy Lifestyle ◽  
Adult Population ◽  
Cross Sectional Study ◽  
World Health ◽  
Cross Sectional ◽  
Married Individuals ◽  
Health Organization ◽  
Associated Risk Factors

OBJECTIVES: To determine the prevalence and associated risk factors of diabetes mellitus (DM) among the adult population in Bisha province, Saudi Arabia.METHODS: A cross sectional study was conducted during December, 2015 using the World Health Organization STEPS wise approach for data collection. Blood glucose level and anthropometric measurements of blood pressure, height, weight, and waist circumference were performed per standard methods.  Logistic regression analysis was used to assess the prevalence and risk of diabetes.RESULTS: Of 542 adult individuals included in the study, 13.3% (72) had diabetes, of which 8.1% were previously diagnosed and 5.2% represented new cases. The proportions of DM were 14.7% for men and 10.8% for women. Diabetes was significantly higher among married compared to unmarried individuals (19.3% vs 5.5 %; p<0.001) and among individuals aged ≥40 years old compared to those <40 years (31.3% vs 9.3%; p<0.001). The risk of diabetes was significantly increased with older age (Odds Ratio=4.470; 95% CI 2.264-7.614), married individuals (OR=4.097; 95% CI 2.188-7.672), weight/obesity (OR=2.827; 95% CI 1.567-5.072), hypertension (OR=4.383; 95% CI 2.085-9.214) and having a job (OR=2.327; 95% CI 1.347-4.02). The independent risk factors predicted diabetes were hypertension (Adjusted OR=2.897; 95% CI 1.269-66.13) and job patterns (Adjusted OR=2.793; 95% CI 1.064-7.329).CONCLUSION: Different risk factors alarming diabetes among adult population in Bisha province were detected.  Strategies aimed to improving a healthy lifestyle are necessary to reduce the burden of the disease. 

scholarly journals Clinical Considerations in Otorhinolaryngology Practice in COVID-19 Pandemic Era

2021 ◽  
Vol 64 (5) ◽  
pp. 297-303
Author(s):  
Soo Ah Son ◽  
Se Hwan Hwang
Keyword(s):  
Disease Transmission ◽  
Direct Contact ◽  
Clinical Characteristics ◽  
World Health ◽  
Outpatient Clinics ◽  
Protective Equipment ◽  
Upper Aerodigestive Tract ◽  
The World ◽  
Clinical Considerations ◽  
Health Organization

The coronavirus disease 2019 (COVID-19) epidemic originated in Wuhan, China and spread rapidly worldwide, leading the World Health Organization to declare an official global COVID- 19 pandemic in March 2020. The upper aero-digestive tract is known to be the highest viral load reside. The infection spreads via droplets or direct contact with contaminated surfaces via aeorsol. The otolaryngologists deal with diseases of the upper-aerodigestive tract and routinely are engaged in respiratory droplet and aerosol-generating procedures (AGP). In particular, because airborne transmission occurs during examination and AGP, otolaryngologists are considered to be at a high risk of contracting COVID-19 during this pandemic. Therefore otolaryngologists need to do precautions to protect staff and patients and minimize transmission of the disease. We also need to wear adequate personal protective equipment according to the examination and procedure. This article discusses the disease transmission and clinical characteristics of COVID-19 as well as precaution guidelines in outpatient clinics of otorhinolaryngology.

Impact of Tuberculosis in Elderly Population

2018 ◽  
pp. 326-338
Author(s):  
Gagan Chooramani ◽  
Pooja Singh
Keyword(s):  
Clinical Characteristics ◽  
Elderly Population ◽  
The Elderly ◽  
World Health ◽  
Tuberculosis Patients ◽  
Disease Outcomes ◽  
Age Related ◽  
Health Organization ◽  
The Impact ◽  
Poor Memory

The World Health Organization has declared that the spread of tuberculosis is a global emergency. Despite the implementation of strong tuberculosis-control initiatives by WHO, this highly infectious disease continues to affect all vulnerable populations, including the elderly population. Adverse social factors and poor living conditions also affect the elderly much more than the young. The clinical characteristics of tuberculosis in older adults can be unusual and may be confused with age-related illnesses. Various factors related to old age can also cause complications in the diagnosis, treatment, and disease outcomes for tuberculosis patients. The contributory factors may be poor memory, deafness, mental confusion, or impairment of speech. In addition, therapy for tuberculosis in elderly individuals is challenging because of the increased incidence of adverse drug reactions. Hence, understanding the impact of these substantial aspects will help to overcome the problem of tuberculosis in the elderly population.

scholarly journals The prediction for development of COVID-19 in global major epidemic areas through empirical trends in China by utilizing state transition matrix model

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Zhong Zheng ◽  
Ke Wu ◽  
Zhixian Yao ◽  
Xinyi Zheng ◽  
Junhua Zheng ◽  
...  
Keyword(s):  
South Korea ◽  
Matrix Model ◽  
Transition Matrix ◽  
State Transition ◽  
State Transition Matrix ◽  
World Health ◽  
Daily Increment ◽  
The World ◽  
Increment Rate ◽  
Health Organization

Abstract Background Since pneumonia caused by coronavirus disease 2019 (COVID-19) broke out in Wuhan, Hubei province, China, tremendous infected cases has risen all over the world attributed to its high transmissibility. We aimed to mathematically forecast the inflection point (IFP) of new cases in South Korea, Italy, and Iran, utilizing the transcendental model from China. Methods Data from reports released by the National Health Commission of the People’s Republic of China (Dec 31, 2019 to Mar 5, 2020) and the World Health Organization (Jan 20, 2020 to Mar 5, 2020) were extracted as the training set and the data from Mar 6 to 9 as the validation set. New close contacts, newly confirmed cases, cumulative confirmed cases, non-severe cases, severe cases, critical cases, cured cases, and death were collected and analyzed. We analyzed the data above through the State Transition Matrix model. Results The optimistic scenario (non-Hubei model, daily increment rate of − 3.87%), the cautiously optimistic scenario (Hubei model, daily increment rate of − 2.20%), and the relatively pessimistic scenario (adjustment, daily increment rate of − 1.50%) were inferred and modeling from data in China. The IFP of time in South Korea would be Mar 6 to 12, Italy Mar 10 to 24, and Iran Mar 10 to 24. The numbers of cumulative confirmed patients will reach approximately 20 k in South Korea, 209 k in Italy, and 226 k in Iran under fitting scenarios, respectively. However, with the adoption of different diagnosis criteria, the variation of new cases could impose various influences in the predictive model. If that happens, the IFP of increment will be earlier than predicted above. Conclusion The end of the pandemic is still inapproachable, and the number of confirmed cases is still escalating. With the augment of data, the world epidemic trend could be further predicted, and it is imperative to consummate the assignment of global medical resources to curb the development of COVID-19.

scholarly journals Analysis of Epidemiological and Clinical Characteristics of COVID-19 in Northwest Mexico and the Relationship Between the Influenza Vaccine and the Survival of Infected Patients

2021 ◽  
Vol 9 ◽  
Author(s):  
Uriel A. Angulo-Zamudio ◽  
Francisco M. Martínez-Villa ◽  
Nidia Leon-Sicairos ◽  
Hector Flores-Villaseñor ◽  
Jorge Velazquez-Roman ◽  
...  
Keyword(s):  
Influenza Vaccine ◽  
Chronic Diseases ◽  
Lower Risk ◽  
Healthcare Workers ◽  
Clinical Characteristics ◽  
Respiratory Infections ◽  
World Health ◽  
Novel Coronavirus ◽  
Health Organization ◽  
The Relationship

The first cases of unexplained pneumonia were reported in Wuhan, China, in December of 2019. Later, a novel coronavirus (SARS-CoV-2) was identified as the causal agent of pneumonia. This virus has since spread to more than 180 countries and has been declared a pandemic by the World Health Organization. Herein, we aimed to determine the epidemiological and clinical characteristics of symptomatic patients with coronavirus disease 2019 (COVID-19) and the relationship between the influenza vaccine with a lower risk of severe COVID-19 infection in the state of Sinaloa. We collected demographic and clinical data of 4,040 patients with acute respiratory infections across Sinaloa state hospitals from February 28 to May 15, 2020. The prevalence of COVID-19 among hospitalized patients with respiratory symptoms in Sinaloa showed 45.2% of men were more affected than women (p &lt; 0.001), and people aged 40–49 years were the most affected. The main symptoms of COVID-19 infection were cough and fever (p &lt; 0.001), while hypertension, obesity, and type 2 diabetes were the chronic diseases associated with COVID-19 than non-COVID-19 (p &lt; 0.003). Healthcare workers were most likely to be infected compared to other occupations (p &lt; 0.001). The general lethality rate was 14.1%, and males &gt;62 years were the ones who had a higher lethality rate (p &lt; 0.001); the aforementioned chronic diseases were related to higher lethality of COVID-19 (p &lt; 0.001). Likewise, higher lethality was seen in housewives and patient retirees/pensioners compared with other occupations (p &lt; 0.001). Finally, we found there was a relationship between influenza vaccination and a lower risk of severe COVID-19 infection and mortality (p &lt; 0.001). These findings showed that healthcare workers, men &gt;62 years with chronic diseases, and retired people were most affected. Furthermore, the influenza vaccine could decrease the severeness of COVID-19 cases.

scholarly journals COVID-19 Diagnosis, Treatments and Prevention: A Review

2020 ◽  
pp. 17-34
Author(s):  
Soumik Chatterjee ◽  
Sabyasachi Chatterjee
Keyword(s):  
Immune System ◽  
Respiratory Tract ◽  
World Health Organization ◽  
Clinical Characteristics ◽  
Treatment Strategies ◽  
World Health ◽  
Upper Respiratory Tract ◽  
The World ◽  
Novel Coronavirus ◽  
Health Organization

Novel Coronavirus are very harmful virus. This viruses have positive single stranded RNA genome and enveloped which is called nucleocapsid. The family of this virus is Coronaviridae. This virus originated from species of avian and mammalian. This virus effect on upper respiratory tract in humans. Many species of these novel coronaviruses (HCoVs) are named as HCoV-HKU1, HCoV-NL63. Predominant species of this virus is Middle East respiratory syndrome (MERS-CoV) across the world.  In both adults and childrens HCoV-HKU1 sp. is causes for chronic pulmonary disease and HCoV-NL63 species causes for upper and lower respiratory tract disease. Most recent species of this virus is MERS-CoV. This species caused for acute pneumonia and occasional renal failure. The new strain of novel Coronavirus is SARS-CoV-2. This strain causes for the Coronavirus Disease 2019 (COVID-19). This disease named by the World Health Organization. Now world fighting against COVID-19 and according to the recent statistics report of world about the COVID-19 cases approx 22.6M confirmed cases and 792K death cases appeared and recovered 14.5M. COVID-19 disease starts to spread from December 2019 from china. Covid-19 disease is emerged in Wuhan seafood market at Wuhan of South China and then rapidly spread throughout the world. The corona virus outbreak has been declared a public health emergency of International concern by World Health Organization (WHO). In this article we summarize the current clinical characteristics of coronavirus and diagnosis, treatments and prevention of COVID-19 disease. In this review article, we analyze data from various Research Reports like WHO guidelines and other articles. It is very important to the readers that new data of COVID-19 updating nearly every hour of day regarding clinical characteristics, diagnosis, treatment strategies, and outcomes COVID-19 disease. The degree of COVID-19 disease varying throughout the world. COVID-19 affected patient shows various symptoms like fever, cough, sore throat, breathlessness, fatigue, and malaise among others. The COVID-19 disease is being treated through general treatment like symptomatic treatment, by using antiviral drugs, oxygen therapy and by the immune system. There is no vaccine or therapeutic strategies for deal with this disease yet. In this critical situation preventive measures must be require.  A very important issue in preventing viral infection is hand hygiene. There are other entities that people can boosting the immune system and help in infection prevention.

scholarly journals Leukopenia of Asymptomatic COVID-19 Infections under 18 Years Old in Recovery Stage

2020 ◽  
Author(s):  
Wei Zhang ◽  
Youshu Yuan ◽  
Zhengqiao Yang ◽  
Jinxia Fu ◽  
Yun Zhang ◽  
...  
Keyword(s):  
Treatment Period ◽  
Clinical Characteristics ◽  
Clinical Laboratory ◽  
World Health ◽  
Recovery Stage ◽  
Familial Cluster ◽  
Asymptomatic Infections ◽  
The Difference ◽  
Novel Coronavirus ◽  
Health Organization

Abstract Background In December, 2019, a type of novel coronavirus which was designated novel coronavirus 2019 (2019-nCoV) by World Health Organization (WHO) occurred in Wuhan, Hubei, China. The epidemiological and clinical characteristics of those patients under 18 years old in the recovery stage are limited. To compare the difference of epidemiological and clinical characteristics of COVID-19 involving 25 patients under 18 years old in recovery stage between confirmed and asymptomatic infections.Methods Retrospective, single-center cohort study of COVID-19 involving 25 patients under 18 years old in the recovery stage at Guizhou Provincial Staff Hospital in Guiyang, China, from January 29, to March 31, 2020; final date of follow-up was April 22. Epidemiological, demographic, clinical, laboratory, radiological, and treatment data were collected and analyzed. Epidemiological and clinical characteristics of confirmed COVID-19 infections and asymptomatic infections were compared.Results Among the 25 COVID infections under 18 years old, 16 (64%) were mild or moderate confirmed cases, and 9 (36%) were asymptomatic. The shortest treatment period was 6 days, the longest 26 days, and the average treatment period 14 days. Four cases (44.4%) had visited Wuhan or had a living story in the city. There were 9 (100%) asymptomatic cases were familial cluster outbreak, with an average infection number was 6 cases among all families. The number of asymptomatic COVID-19 infections’ Leukopenia were significantly more than confirmed cases (p = 0.04).Conclusions Leukopenia mostly occurred in asymptomatic COVID-19 infections under 18 years old compared with the confirmed patients.

Sign in / Sign up

Export Citation Format

Share Document