Health Care Science最新文献

{"title":"Preparedness of South Asian countries regarding Langya virus emergence: A view on the current situation","authors":"Al Kamal Muhammad Shafiul Kadir,&nbsp;Tungki Pratama Umar,&nbsp;Abdullah Al Rabbi,&nbsp;Md. Suza Chowdhury,&nbsp;Mohammad Ullah Shemanto","doi":"10.1002/hcs2.42","DOIUrl":"https://doi.org/10.1002/hcs2.42","url":null,"abstract":"<p>Langya Henipavirus (LayV) is a zoonotic virus that has recently re-emerged in Eastern China. There is limited data available on the global prevalence, mortality, and morbidity of LayV. The majority of cases have been reported in two provinces in China (Shandong and Henan). Between 2018 and 2022, 35 individuals were diagnosed with the LayV infection in these regions. This novel ribonucleic acid virus attacks animals (including goats, dogs, and shrews) and can potentially spread to humans. The Henipavirus genus is a Paramyxoviridae family member that can be spread through animal-human contact with no established human-to-human transmission yet [<span>1</span>].</p><p>There are several disease spectra associated with LayV, including fever, fatigue, nausea, vomiting, cough, and headache. Furthermore, 34% of patients had elevated liver function tests, and 8% had impaired kidney function [<span>2</span>]. Henipaviruses are biosafety level 4 microbes that have the potential to sicken both humans and animals severely [<span>1</span>]. One of its species, the Nipah virus, can cause serious infection in the presence of acute respiratory infection and fatal encephalitis, with a case fatality rate ranging from 40% to 75% [<span>3</span>].</p><p>Currently, Henipavirus is not treatable with medications or protected against by vaccinations; thus, the treatment for human infection is mainly supportive, like other viruses including during the current COVID-19 pandemic. The need of raising public understanding of many elements of emerging viruses cannot be overstated, for scientists to continue to monitor the emergence of zoonotic diseases, and to practice rigorous personal hygiene due to a potentially lethal consequence of the virus spread [<span>4</span>].</p><p>With any emerging virus, it is important to have full genome detection, determine the mode and risk of transmission, and study possible therapeutics and preventive therapies for regional preparedness. LayV is a newly discovered member of the Henipavirus family, which also includes Nipah and Hendra viruses. It is important to consider the potential challenges that Henipaviruses, including LayV, may pose to the global healthcare system [<span>1</span>]. Some potential challenges include limited diagnostic and surveillance tools, high fatality rates, zoonotic transmission, potential for person-to-person transmission, and lack of awareness and preparedness among healthcare providers and public health officials.</p><p>The incidence of zoonotic viral infections in South Asia is multifaceted and versatile: diseases that are old, emergent, re-emerging, and those that have just been found. They all coexist and interplay in unique ways that we are still learning more about. South Asia is frequently believed to be a crucial hotspot for zoonotic spread to humans. Human behavior, large human and animal demographic density, intense animal-human interaction, multiple live animal marketplaces, urbanization, deforesta","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"2 3","pages":"194-197"},"PeriodicalIF":0.0,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.42","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50136460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chinese academic community speaks out on He Jiankui again: Consensus statement on the challenges and responses of science and technology ethics governance","authors":"Xiaomei Zhai","doi":"10.1002/hcs2.41","DOIUrl":"https://doi.org/10.1002/hcs2.41","url":null,"abstract":"<p>At the end of 2019, He Jiankui was sentenced to 3 years in prison for “illegal medical practices”. The Ministry of Science and Technology and the National Health Commission of P.R. China have banned him from engaging in any work related to reproductive science such as in vitro fertilization, and prohibited him from conducting further research in genetic editing.</p><p>On November 24, 2022, He Jiankui announced on his personal Weibo account for the establishment of the He Jiankui Laboratory in Beijing's Daxing district, and extensively promoted his rare disease research plan through social media and the press, calling it a “new starting point, a new journey”.</p><p>On February 13, 2023, Nature News reported that He Jiankui participated in an online exchange event organized by the University of Kent in the United Kingdom, focusing on life ethics regulation. Many scholars were disappointed with his speech, which they believed was “a publicity stunt” that only “left the impression of a salesperson” [<span>1</span>]. Similar disappointment and criticism were expressed by the Chinese academic community toward He Jiankui's speech.</p><p>On March 2, 2023, a Conference on “Challenges and Responses to Ethical Governance of Science and Technology” was held in Beijing. The Conference was organized jointly by Center for Ethics and Morality, People's University of China, Beijing Institute of Stem Cell and Regenerative Medicine, and Center for Bioethics, Chinese Academy of Medical Sciences/Peking Union Medical College. Over 200 scholars from all over the country attended the conference.</p><p><b>Xiaomei Zhai</b>: Conceptualization (lead); resources (lead); writing—original draft (lead).</p><p>The author declares no conflict of interest.</p><p>The author has nothing to report. No patient was involved in the present study.</p><p>Not applicable.</p>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"2 2","pages":"79-81"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.41","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50127202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The economic impacts of cataract surgery on sustainable vision and quality of life in Katsina state","authors":"Mansur M. Rabiu,&nbsp;Manal O. Taryam,&nbsp;Muhammad Yusuf,&nbsp;Ibrahim Kabiru Maji","doi":"10.1002/hcs2.39","DOIUrl":"https://doi.org/10.1002/hcs2.39","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>This study investigates the economic impacts of eye care interventions on the quality of life in Katsina state. Eye care intervention is a requirement for equitable and inclusive development in the state.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The study used a survey method and 5-point Likert scale questionnaire to collect data. A multistage sampling strategy was employed to select 300 beneficiaries from the existing beneficiaries of Noor Dubai Foundation (NDF) eye care interventions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The findings show that cataract surgery interventions improve economic benefits and quality of life of beneficiaries in Katsina state. The results show that productivity, income, employability, dignity and skills of beneficiaries have improved significantly after the cataract surgery. Precisely, 96.2% of the beneficiaries agree that their productivity has improved; 99.6% of the beneficiaries revealed that their income has improved; 99% of respondents evidence that their employability has improved; 90% of beneficiaries have experienced an improvement in their dignity; while 97% agreed that their skills have improved.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The implication of these findings is that poor eye health is negatively related to economic benefits and quality of life while good eye health is a vital determinant of standard of living. Without good eye health, it is hard to participate in the labour force, produce goods and earn income. Thus, the Katsina state government should further improve awareness of good eye health to mitigate preventable cases of blindness for equitable and inclusive development.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"2 2","pages":"112-119"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.39","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50118651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Establishment of a donor pig for xenotransplantation clinical trials based on the principle of Changsha Communiqué","authors":"Xiaoqian Ma,&nbsp;Sang Li,&nbsp;Jia Wang,&nbsp;Chang Xu,&nbsp;Wei Wang","doi":"10.1002/hcs2.37","DOIUrl":"https://doi.org/10.1002/hcs2.37","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Xenotransplantation is a potential way to reduce the shortage of the needed organ grafts for the end-stage disease. Immune rejection, physiological incompatibility and bio-safety are the most critical issues.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>To ensure the safety and efficacy of gene editing, second- and third-generation sequencing technologies have allowed us to obtain a clearer genetic background of donor pigs for xenotransplantation. Based on the Changsha Communiqué, the local DPF- excluded lists and DPF donor facility were established in Changsha, China. A pig-to-human islet clinical trial was conducted and overseen by the respective Chinese governmental agency.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The DPF standards for pig husbandry eliminated specific pathogens in donor pigs. We have established a PERV-C free, genetic information clean, DPF donor for xenotransplantation. A clinical trial of ten adult patients (9M:1F) with type 1 diabetes who received DPF porcine islet xenotransplantation via the portal vein were performed. Clinical accepted immunosuppressant drugs and autologous Treg were used for controlling immune rejection. No cross-species infection events occurred in this trial, and importantly, no cross-species transmission of PERV was found.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Xenotransplantation is a pioneer study and safety is the most important issue. The fundamental principles for establishing xenotransplantation donor pigs should follow the Changsha Communiqué (2008), the second WHO consultation,and the 2018 Changsha Communiqué which would finally help reducing the risks of xenotransplantation.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"2 2","pages":"129-134"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.37","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50123290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retrospective matched cohort study of incidence rates and excess length of hospital stay owing to pressure injuries in an Asian setting","authors":"Nicholas Graves,&nbsp;Raju Maiti,&nbsp;Fazila Abu Bakar Aloweni,&nbsp;Ng Yi Zhen,&nbsp;Ang Shin Yuh,&nbsp;Priya Bishnoi,&nbsp;Tze Tec Chong,&nbsp;David Carmody,&nbsp;Keith Harding","doi":"10.1002/hcs2.30","DOIUrl":"https://doi.org/10.1002/hcs2.30","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Little is known about stage 1 and 2 pressure injuries that are health care-acquired. We report incidence rates of health care-acquired stage 1 and stage 2 pressure injuries, and, estimate the excess length of stay using four competing analytic methods. We discuss the merits of the different approaches.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We calculated monthly incidence rates for stage 1 and 2 health care-acquired pressure injuries occurring in a large Singapore acute care hospital. To estimate excess stay, we conducted unadjusted comparisons with a control cohort, performed linear regression and then generalized linear regression with a gamma distribution. Finally, we fitted a simple state-based model. The design for the cost attribution work was a retrospective matched cohort study.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Incidence rates in 2016 were 0.553% (95% confidence interval [CI] 0.55, 0.557) and 0.469% (95% CI 0.466, 0.472) in 2017. For data censored at 60 days’ maximum stay, the unadjusted comparisons showed the highest excess stay at 17.68 (16.43-18.93) days and multi-state models showed the lowest at 1.22 (0.19, 2.23) days.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Poor-quality methods for attribution of excess length of stay to pressure injury generate inflated estimates that could mislead decision makers. The findings from the multi-state model, which is an appropriate method, are plausible and illustrate the likely bed-days saved from lowering the risk of these events. Stage 1 and 2 pressure injuries are common and increase costs by prolonging the length of stay. There will be economic value investing in prevention. Using biased estimates of excess length of stay will overstate the potential value of prevention.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"2 2","pages":"82-93"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.30","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50131562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"To what extent do disparities in economic development and healthcare availability explain between-province health inequalities among older people in China?","authors":"Sol Richardson,&nbsp;Zhihui Li","doi":"10.1002/hcs2.32","DOIUrl":"https://doi.org/10.1002/hcs2.32","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Uneven economic development has led to substantial health inequalities between Chinese provinces. The extent of, and factors underlying, between-province health inequalities have received little attention.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data from 15,278 respondents in Wave 2 (2013) of the China Health and Retirement Longitudinal Study (CHARLS) were used to investigate inequalities among people aged ≥50 years in five health outcomes between 27 Chinese province-level administrative units. After characterizing the between-province differences and the relevance of province effects, proportional change in variance between unadjusted and adjusted models was calculated to determine the percentage of between-province variance in health outcomes explained by province-level variables including measures of economic development and healthcare availability.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Although province effects explained &lt;10% of overall variance in health outcomes, they underpinned large between-province inequalities among people aged ≥50 years. Gross Regional Product per capita was more important than doctor density in explaining between-province variance in health outcomes, particularly depression symptoms and instrumental activities of daily living impairment.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Policy efforts, including more equal distribution of healthcare personnel, may be warranted to reduce between-province health inequalities.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"2 2","pages":"94-111"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.32","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50126326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnosis and treatment protocol for COVID-19 patients (Tentative 10th Version)","authors":"Released by National Health Commission of People's Republic of China & National Administration of Traditional Chinese Medicine on January 5, 2023","doi":"10.1002/hcs2.36","DOIUrl":"https://doi.org/10.1002/hcs2.36","url":null,"abstract":"<p>To further improve the diagnosis and treatment of COVID-19, the National Health Commission of People's Republic of China and the National Administration of Traditional Chinese Medicine convened a group of experts to revise the relevant content of the Diagnosis and Treatment Protocol for COVID-19 Patients (Trial Version 9) and developed the Diagnosis and Treatment Protocol for COVID-19 Patients (Trial Version 10), summarizing the etiological characteristics, epidemiological characteristics, prevention, clinical features, diagnosis, clinical classification, population with high risk of severe/critical illnesses, early warning predictors for severe/critical illnesses, differential diagnosis, case identification and reporting, treatment, nursing, control of nosocomial infection in medical institutions, and discharge criteria for inpatients.</p>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"2 1","pages":"10-24"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.36","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50141473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CardioLabelNet: An uncertainty estimation using fuzzy for abnormalities detection in ECG","authors":"Jyoti Mishra,&nbsp;Mahendra Tiwari","doi":"10.1002/hcs2.31","DOIUrl":"https://doi.org/10.1002/hcs2.31","url":null,"abstract":"<p>Electrocardiography (ECG) abnormalities are evaluated through several automatic detection methods. Primarily, real-world ECG data are digital signals those are stored in the form of images in hospitals. Also, the existing automated detection technique eliminates the cardiac pattern that is abnormal and it is difficult to multiple abnormalities at some instances. To address those issues in this paper conventional ECG image automated techniques CardioLabelNet model is proposed. The proposed model incorporates two stages for image abnormality detection. At first fuzzy membership is performed in the image for computation of uncertainty. In second stage, classification is performed for computation of abnormal activity. The proposed CardioLabelNet collect ECG image data set for the uncertainty estimation while taking the account of various image classes which includes the global and local entropy of image pixels. For each waveform, uncertainties are calculated on the basis of global entropy. The computation of uncertainty in the images is performed with the fuzzy membership function. The spatial likelihood estimation of a fuzzy weighted membership function is used to calculate local entropy. Upon completion of fuzzification, classification is performed for the detection of normal and abnormal patterns in the ECG signal images. Through integration of stacked architecture model classification is performed for ECG images. The proffered algorithm performance is calculated in terms of accuracy for segmentation, Dice similarity coefficient, and partition entropy. Additionally, classification parameters accuracy sensitivity, specificity, and AUC are evaluated. The proposed approach outperforms the existing methodology, according to the results of a comparative analysis.</p>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"2 1","pages":"60-74"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.31","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50156039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevention and control measures to further optimize COVID-19 response","authors":"Released by the Taskforce for Joint Prevention and Control Mechanism for COVID-19 under the State Council of P.R. China on December 07, 2022","doi":"10.1002/hcs2.34","DOIUrl":"https://doi.org/10.1002/hcs2.34","url":null,"abstract":"<p>On November 11, 2022, the Chinese government released the Scientific and Targeted Prevention and Control Measures to Optimize COVID-19 Response. Since that time, adjusted measures have been implemented throughout China, leading to major shifts in implementation of the national prevention and control strategy. On the basis of the current situation of the epidemic and the evolving SARS-Cov-2 variants, an additional 10 specifications (referred to as “<b>the 10-point measures</b>”) were officially released on December 7, 2022, in an effort to further optimize the prevention and control measures. The latest adjustments pertain to the specification of: precise delineation of high-risk areas, nucleic acid testing scheme, isolation and health monitoring, restriction and lifting of high-risk areas, medicine supply, vaccination rollout among older people, health status of key populations, social functioning, and campus response.</p>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"2 1","pages":"7-9"},"PeriodicalIF":0.0,"publicationDate":"2023-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.34","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50133376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Scientific and targeted prevention and control measures to optimize COVID-19 response","authors":"Released by the Taskforce for Joint Prevention and Control Mechanism for COVID-19 under the State Council and the National Health Commission of P.R. China on November 11, 2022","doi":"10.1002/hcs2.33","DOIUrl":"https://doi.org/10.1002/hcs2.33","url":null,"abstract":"<p>Since the outbreak of the COVID-19 pandemic, under the strong leadership of the Central Committee of the Communist Party of China and President Xi Jinping, China has made firm decisions to prioritize people's lives and health. Efforts have been made to avoid foreign imported infection and domestic rebound of COVID-19 cases; the “dynamic zero COVID” policy has been executed without wavering; and the prevention and control measures have been optimized and improved in response to changing circumstances, actively responding to the impact caused by multiple waves of COVID-19 surge globally. China has made extraordinary efforts to safeguard people's lives and health. Meanwhile, prevention and control measures were timely updated to coordinate with economic and social development. On November 10, the Standing Committee of the Central Political Bureau held a meeting to discuss the latest situation of the COVID-19 pandemic in China. Twenty measures (referred to as “<b>the 20-point measures</b>“) were officially announced to further optimize the COVID-19 response. The latest prevention and control measures involve the requirements and guidance for isolation at home, high-risk area delineation, nucleic acid testing, international inbound flights and travelers, vaccination rollout, medical resource preparedness, and protection for special places and vulnerable population.</p>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"2 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2023-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.33","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50129697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}