1.Pandemic-related health literacy: a systematic review of literature in COVID-19, SARS and MERS pandemics.
Jun Jie Benjamin SENG ; Cheng Teng YEAM ; Caleb Weihao HUANG ; Ngiap Chuan TAN ; Lian Leng LOW
Singapore medical journal 2025;66(5):244-255
INTRODUCTION:
Health literacy plays an essential role in one's ability to acquire and understand critical medical information in the coronavirus disease 2019 (COVID-19) infodemic and in other pandemics. We aimed to summarise the assessment, levels and determinants of pandemic-related health literacy and its associated clinical outcomes.
METHODS:
A systematic review was performed in Medline ® , Embase ® , PsycINFO ® , CINAHL ® and four major preprint servers. Observational and interventional studies that evaluated health literacy related to the novel COVID-19, severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) were included. Items used in health literacy instruments were grouped under the themes of knowledge, attitudes and practices. Determinants of health literacy were grouped into five domains: sociodemographic, medical, psychological/psychiatric, health systems-related and others.
RESULTS:
Of the 2,065 articles screened, 70 articles were included. Of these, 21, 17 and 32 studies evaluated health literacy related to COVID-19, SARS and MERS, respectively. The rates of low pandemic health literacy ranged from 4.3% to 57.9% among medical-related populations and from 4.0% to 82.5% among nonmedical populations. Knowledge about the symptoms and transmission of infection, worry about infection, and practices related to mask usage and hand hygiene were most frequently evaluated. Sociodemographic determinants of health literacy were most frequently studied, among which higher education level, older age and female gender were found to be associated with better health literacy. No studies evaluated the outcomes associated with health literacy.
CONCLUSION
The level of pandemic-related health literacy is suboptimal. Healthcare administrators need to be aware of health literacy determinants when formulating policies in pandemics.
Humans
;
Health Literacy
;
COVID-19/epidemiology*
;
Severe Acute Respiratory Syndrome/epidemiology*
;
Health Knowledge, Attitudes, Practice
;
Pandemics
;
SARS-CoV-2
;
Coronavirus Infections/epidemiology*
;
Middle East Respiratory Syndrome Coronavirus
;
Female
;
Male
2.Guidance for the management of adult patients with coronavirus disease 2019.
Jie-Ming QU ; Chen WANG ; Bin CAO
Chinese Medical Journal 2020;133(13):1575-1594
Adult
;
Betacoronavirus
;
Clinical Laboratory Techniques
;
Coronavirus Infections
;
diagnosis
;
epidemiology
;
etiology
;
prevention & control
;
therapy
;
Diagnosis, Differential
;
Extracorporeal Membrane Oxygenation
;
Humans
;
Pandemics
;
prevention & control
;
Pneumonia, Viral
;
epidemiology
;
etiology
;
prevention & control
;
therapy
;
Practice Guidelines as Topic
;
Respiration, Artificial
3.Expert consensus on management principles of orthopedic emergency in the epidemic of coronavirus disease 2019.
Pei-Fu TANG ; Zhi-Yong HOU ; Xin-Bao WU ; Chang-Qing ZHANG ; Jun-Wen WANG ; Xin XING ; Zeng-Wu SHAO ; Ai-Xi YU ; Gang WANG ; Bin CHEN ; Ping ZHANG ; Yan-Jun HU ; Bo-Wei WANG ; Xiao-Dong GUO ; Xin TANG ; Dong-Sheng ZHOU ; Fan LIU ; Ai-Mi CHEN ; Kun ZHANG ; Kai-Nan LI ; Yan-Bin ZHU
Chinese Medical Journal 2020;133(9):1096-1098
Betacoronavirus
;
Consensus
;
Coronavirus Infections
;
complications
;
epidemiology
;
prevention & control
;
Epidemics
;
Humans
;
Minimally Invasive Surgical Procedures
;
Musculoskeletal Diseases
;
complications
;
therapy
;
Pandemics
;
prevention & control
;
Pneumonia, Viral
;
complications
;
epidemiology
;
prevention & control
5.Distribution of the COVID-19 epidemic and correlation with population emigration from Wuhan, China.
Ze-Liang CHEN ; Qi ZHANG ; Yi LU ; Zhong-Min GUO ; Xi ZHANG ; Wen-Jun ZHANG ; Cheng GUO ; Cong-Hui LIAO ; Qian-Lin LI ; Xiao-Hu HAN ; Jia-Hai LU
Chinese Medical Journal 2020;133(9):1044-1050
BACKGROUND:
The ongoing new coronavirus pneumonia (Corona Virus Disease 2019, COVID-19) outbreak is spreading in China, but it has not yet reached its peak. Five million people emigrated from Wuhan before lockdown, potentially representing a source of virus infection. Determining case distribution and its correlation with population emigration from Wuhan in the early stage of the epidemic is of great importance for early warning and for the prevention of future outbreaks.
METHODS:
The official case report on the COVID-19 epidemic was collected as of January 30, 2020. Time and location information on COVID-19 cases was extracted and analyzed using ArcGIS and WinBUGS software. Data on population migration from Wuhan city and Hubei province were extracted from Baidu Qianxi, and their correlation with the number of cases was analyzed.
RESULTS:
The COVID-19 confirmed and death cases in Hubei province accounted for 59.91% (5806/9692) and 95.77% (204/213) of the total cases in China, respectively. Hot spot provinces included Sichuan and Yunnan, which are adjacent to Hubei. The time risk of Hubei province on the following day was 1.960 times that on the previous day. The number of cases in some cities was relatively low, but the time risk appeared to be continuously rising. The correlation coefficient between the provincial number of cases and emigration from Wuhan was up to 0.943. The lockdown of 17 cities in Hubei province and the implementation of nationwide control measures efficiently prevented an exponential growth in the number of cases.
CONCLUSIONS
The population that emigrated from Wuhan was the main infection source in other cities and provinces. Some cities with a low number of cases showed a rapid increase in case load. Owing to the upcoming Spring Festival return wave, understanding the risk trends in different regions is crucial to ensure preparedness at both the individual and organization levels and to prevent new outbreaks.
Betacoronavirus
;
China
;
epidemiology
;
Coronavirus Infections
;
epidemiology
;
Emigration and Immigration
;
Epidemics
;
Humans
;
Pandemics
;
Pneumonia, Viral
;
epidemiology
6.Science in the fight against the novel coronavirus disease 2019 (COVID-19).
Jian-Wei WANG ; Bin CAO ; Chen WANG
Chinese Medical Journal 2020;133(9):1009-1011
7.From severe acute respiratory syndrome-associated coronavirus to 2019 novel coronavirus outbreak: similarities in the early epidemics and prediction of future trends.
Ze-Liang CHEN ; Wen-Jun ZHANG ; Yi LU ; Cheng GUO ; Zhong-Min GUO ; Cong-Hui LIAO ; Xi ZHANG ; Yi ZHANG ; Xiao-Hu HAN ; Qian-Lin LI ; Jia-Hai LU
Chinese Medical Journal 2020;133(9):1112-1114
9.Guideline for diagnosis and treatment of spine trauma in the epidemic of COVID-19.
Yu-Long WANG ; Feng-Zhao ZHU ; Lian ZENG ; Dionne TELEMACQUE ; Jamal Ahmad SALEEM ALSHORMAN ; Jin-Ge ZHOU ; Ze-Kang XIONG ; Ting-Fang SUN ; Yan-Zhen QU ; Sheng YAO ; Tian-Sheng SUN ; Shi-Qing FENG ; Xiao-Dong GUO
Chinese Journal of Traumatology 2020;23(4):196-201
Outbreak of COVID-19 is ongoing all over the world. Spine trauma is one of the most common types of trauma and will probably be encountered during the fight against COVID-19 and resumption of work and production. Patients with unstable spine fractures or continuous deterioration of neurological function require emergency surgery. The COVID-19 epidemic has brought tremendous challenges to the diagnosis and treatment of such patients. To coordinate the diagnosis and treatment of infectious disease prevention and spine trauma so as to formulate a rigorous diagnosis and treatment plan and to reduce the disability and mortality of the disease, multidisciplinary collaboration is needed. This expert consensus is formulated in order to (1) prevent and control the epidemic, (2) diagnose and treat patients with spine trauma reasonably, and (3) reduce the risk of cross-infection between patients and medical personnel during the treatment.
Betacoronavirus
;
Coronavirus Infections
;
epidemiology
;
prevention & control
;
Cross Infection
;
prevention & control
;
Emergency Service, Hospital
;
Humans
;
Pandemics
;
prevention & control
;
Patient Care Team
;
Pneumonia, Viral
;
epidemiology
;
prevention & control
;
Practice Guidelines as Topic
;
Spinal Injuries
;
diagnosis
;
therapy
;
Transportation of Patients
10.From H1N1 to 2019-nCoV, what do we learn?
Gui-E LIU ; Yuan TIAN ; Wen-Jun ZHAO ; Shuang-Ming SONG ; Lei LI
Chinese Journal of Traumatology 2020;23(4):187-189
The COVID-19 pandemic is still raging across the world. Everyday thousands of infected people lost their lives. What is worse, there is no specific medicine and we do not know when the end of the pandemic will come. The nearest global pandemic is the 1918 influenza, which caused about 50 million deaths and partly terminate the World War Ⅰ. We believe that no matter the virus H1N1 for the 1918 influenza or 2019-nCoV for COVID-19, they are essentially the same and the final cause of death is sepsis. The definition and diagnostic/management criteria of sepsis have been modified several times but the mortality rate has not been improved until date. Over decades, researchers focus either on the immunosuppression or on the excessive inflammatory response following trauma or body exposure to harmful stimuli. But the immune response is very complex with various regulating factors involved in, such as neurotransmitter, endocrine hormone, etc. Sepsis is not a kind of disease, instead a misbalance of the body following infection, trauma or other harmful stimulation. Therefore we should re-think sepsis comprehensively with the concept of systemic biology, i.e. inflammationomics.
Betacoronavirus
;
Coronavirus Infections
;
complications
;
epidemiology
;
immunology
;
Humans
;
Immune Tolerance
;
Inflammation
;
complications
;
Influenza A Virus, H1N1 Subtype
;
Influenza, Human
;
complications
;
epidemiology
;
immunology
;
Pandemics
;
Pneumonia, Viral
;
complications
;
epidemiology
;
immunology
;
Sepsis
;
etiology

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