Unknown Infectious Diseases Research Articles

Rapid isolation of pan-neutralizing antibodies against Omicron variants from convalescent individuals infected with SARS-CoV-2.

The emergence of SARS-CoV-2 Omicron subvariants haspresented a significant challenge to global health, as these variants show resistance to most antibodies developed early in the pandemic. Therapeutic antibodies with potent efficacy to the Omicron variants are urgently demanded. Utilizing the rapid antibody discovery platform, Berkeley Lights Beacon, we isolated two monoclonal neutralizing antibodies, 2173-A6 and 3462-A4. These antibodies were isolated from individuals who recently recovered from Omicron infections. Both antibodies, 2173-A6 and 3462-A4, demonstrated high affinity for the RBD and effectively neutralized pseudoviruses from various Omicron lineages, including BA.4/5, XBB.1.16, XBB.1.5, and EG.5.1. This neutralization was achieved through binding to identical or overlapping epitopes. The use of the Beacon platform enabled the rapid isolation and identification of effective neutralizing antibodies within less than 10 days. This process significantly accelerates the development of novel therapeutic antibodies, potentially reducing the time required to respond to unknown infectious diseases in the future.

The Problems and Difficulties of Medical Devices in Chongqing in Response to Public Health Incidents in 2022

Background and Aim: In the face of emergencies such as large-scale infectious diseases, some medical device manufacturers either do not have enough practical research and development experience in related epidemic prevention medical devices or use cheaper raw materials to reduce product quality in the research and development stage to save costs and increase profits. purpose, and even use various channels and means to bypass market supervision and produce problematic medical devices from the very beginning. Or, to take advantage of the public's panic about unknown infectious diseases, some unscrupulous merchants falsely advertise products that do not meet medical requirements, confusing the masses without certain professional cognitive ability, blindly believing and following them, and causing sudden large-scale infectious diseases. It cannot effectively reduce and contain the spread of diseases or other public health events. Infectious diseases spread rapidly in various cities. This is the problem with the quality supervision of medical devices under public health emergencies. From this new crown pneumonia epidemic, it can be found that the existing system is still unable to meet the needs of emergencies such as public health. It is necessary to do a good job of system reserves for the accessibility of drugs and medical devices from the level of laws and regulations. This needs to be sorted out to achieve accessibility. The existing regulations and systems should be improved to meet the needs of medical device use in public health and other emergencies. Materials and Methods: Safety testing of medical devices used in 26 public health events using Chinese national standards Results: The histogram of sample scores in the operation link reveals a complex landscape with an increased sample size. This data accentuates the intricate scoring dynamics and intricate qualification rates within the operation link, showcasing variations even among identical products from the same manufacturer. The case of "LFR20B" and "LFR30B" infrared forehead thermometers exemplifies how subtle factors, such as the weighting of specific performance indicators, contribute to scoring distinctions. Despite the "LFR20B" model achieving a higher score, it falls short of the category's passing threshold, underscoring the intricate nature of sample evaluations. However, it is noteworthy that 58% of the samples successfully meet national standards and pass the inspection, indicating a substantial portion complying with regulatory requirements. Conclusion: Laws and regulations need to be improved, there are hidden dangers in regulation, the ability of regulatory teams needs to be improved, medical device enterprises have problems, medical devices should strictly follow national standards, and the public should actively participate in medical device regulation.

Strengthening medical facility responses to respiratory infectious diseases: Global trends, challenges, and innovations post-COVID-19.

Respiratory infectious diseases have long been a serious public health problem. This study explores the significance of respiratory infectious disease prevention and control systems worldwide, particularly during and after the COVID-19 pandemic. The epidemiology of many respiratory diseases such as influenza changed over the past two years, and the incidence of pathogens such as Mycoplasma pneumoniae and Bordetella pertussis has also increased. Based on influenza surveillance data in China, the influenza season in 2023 was notably delayed and extended, with A(H1N1) pdm09 being the predominant strain. This editorial also reviewed the gradual establishment of China's infectious disease prevention and control system following the 2003 SARS outbreak, highlighting the role of medical facilities in managing public health emergencies, conducting infectious disease pre-screening, and reporting cases to networks in real time. In the future, China will further develop an intelligent, multi-trigger infectious disease surveillance and early warning system to increase the early detection of unknown infectious diseases and optimize the allocation of medical resources. A robust infectious disease control system is crucial to addressing future pandemic threats.

Web-based surveillance of respiratory infection outbreaks: retrospective analysis of Italian COVID-19 epidemic waves using Google Trends.

Large-scale diagnostic testing has been proven insufficient to promptly monitor the spread of the Coronavirus disease 2019. Electronic resources may provide better insight into the early detection of epidemics. We aimed to retrospectively explore whether the Google search volume has been useful in detecting Severe Acute Respiratory Syndrome Coronavirus outbreaks early compared to the swab-based surveillance system. The Google Trends website was used by applying the research to three Italian regions (Lombardy, Marche, and Sicily), covering 16 million Italian citizens. An autoregressive-moving-average model was fitted, and residual charts were plotted to detect outliers in weekly searches of five keywords. Signals that occurred during periods labelled as free from epidemics were used to measure Positive Predictive Values and False Negative Rates in anticipating the epidemic wave occurrence. Signals from "fever," "cough," and "sore throat" showed better performance than those from "loss of smell" and "loss of taste." More than 80% of true epidemic waves were detected early by the occurrence of at least an outlier signal in Lombardy, although this implies a 20% false alarm signals. Performance was poorer for Sicily and Marche. Monitoring the volume of Google searches can be a valuable tool for early detection of respiratory infectious disease outbreaks, particularly in areas with high access to home internet. The inclusion of web-based syndromic keywords is promising as it could facilitate the containment of COVID-19 and perhaps other unknown infectious diseases in the future.

Hypertension management before and under the COVID-19 pandemic: lessons and future directions.

Hypertension is a significant risk factor for cardiovascular diseases. The prevalence of hypertension and its complications is increasing yearly, yet it remains inadequately controlled worldwide. It has already been recognized that self-management, including self-measured blood pressure monitoring at home, is more important than office blood pressure monitoring. The practical application of telemedicine using digital technology was already underway. COVID-19 has promoted the popularization of these management systems in primary care, although the COVID-19 pandemic disrupted lifestyle and healthcare access. At the beginning of the pandemic, we were at the mercy of information on whether certain antihypertensive drugs, for example, might pose a risk of infection in the face of unknown infectious diseases. Over the past three years, however, much knowledge has been accumulated. It has been scientifically proven that there is no serious problem in managing hypertension in the same way as before the pandemic. That is to control blood pressure mainly through home blood pressure monitoring and continuing conventional drug therapy while modifying lifestyle. On the other hand, in the New Normal era, it is necessary to accelerate digital hypertension management and the establishment of new social networks and medical systems to prepare for the re-emergence of future pandemics while continuing to protect against infection. This review will summarize the lessons and future directions we learned from the impact of the COVID-19 pandemic on hypertension management. The COVID-19 pandemic has disrupted our daily life, restricted access to healthcare, and altered some of the conventional management of hypertension.

B cell receptor repertoire analysis from autopsy samples of COVID-19 patients.

Neutralizing antibodies against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are being developed world over. We investigated the possibility of producing artificial antibodies from the formalin fixation and paraffin-embedding (FFPE) lung lobes of a patient who died by coronavirus disease 2019 (COVID-19). The B-cell receptors repertoire in the lung tissue where SARS-CoV-2 was detected were considered to have highly sensitive virus-neutralizing activity, and artificial antibodies were produced by combining the most frequently detected heavy and light chains. Some neutralizing effects against the SARS-CoV-2 were observed, and mixing two different artificial antibodies had a higher tendency to suppress the virus. The neutralizing effects were similar to the immunoglobulin G obtained from healthy donors who had received a COVID-19 mRNA vaccine. Therefore, the use of FFPE lung tissue, which preserves the condition of direct virus sensitization, to generate artificial antibodies may be useful against future unknown infectious diseases.

Detecting early signals of COVID-19 outbreaks in 2020 in small areas by monitoring healthcare utilisation databases: first lessons learned from the Italian Alert_CoV project.

BackgroundDuring the COVID-19 pandemic, large-scale diagnostic testing and contact tracing have proven insufficient to promptly monitor the spread of infections.AimTo develop and retrospectively evaluate a system identifying aberrations in the use of selected healthcare services to timely detect COVID-19 outbreaks in small areas.MethodsData were retrieved from the healthcare utilisation (HCU) databases of the Lombardy Region, Italy. We identified eight services suggesting a respiratory infection (syndromic proxies). Count time series reporting the weekly occurrence of each proxy from 2015 to 2020 were generated considering small administrative areas (i.e. census units of Cremona and Mantua provinces). The ability to uncover aberrations during 2020 was tested for two algorithms: the improved Farrington algorithm and the generalised likelihood ratio-based procedure for negative binomial counts. To evaluate these algorithms' performance in detecting outbreaks earlier than the standard surveillance, confirmed outbreaks, defined according to the weekly number of confirmed COVID-19 cases, were used as reference. Performances were assessed separately for the first and second semester of the year. Proxies positively impacting performance were identified.ResultsWe estimated that 70% of outbreaks could be detected early using the proposed approach, with a corresponding false positive rate of ca 20%. Performance did not substantially differ either between algorithms or semesters. The best proxies included emergency calls for respiratory or infectious disease causes and emergency room visits.ConclusionImplementing HCU-based monitoring systems in small areas deserves further investigations as it could facilitate the containment of COVID-19 and other unknown infectious diseases in the future.

Clinico-epidemiological profile and outcome of infected health care workers during the three consecutive waves of COVID-19 pandemic: a longitudinal cohort study.

Health care workers are considered as high-risk population, who deal with many unknown, undiagnosed, and subclinical infectious diseases in their daily life. Currently, the COVID-19 pandemic posed as an add-on burden for these frontline workers in all aspects. Although, many adverse physical and mental effects of pandemic among health care workers (HCWs) were discussed worldwide, a long-term study for delayed complications needed to be explored. The study evaluates and compares three waves of the pandemic in various aspects such as the incidence, prevalence, severity, risk factors, and variations in the pattern of COVID-19 infection, impact of vaccination, and post-infection complications among the HCWs. A longitudinal observational study was carried out over a period of 2 years and another 6 months for follow-up. The study included all HCWs who tested positive in any one wave of COVID-19 pandemic with any one of the confirmed COVID-19 test. Each COVID-19-affected HCW was followed up through telephone calls and direct interviews conducted at the study site. Admission details and other background details of the study population were collected from the hospital records. A total of 968 HCWs were COVID-19 positive in any of the three waves, and highest incidence (53.00%) was caused by the Omicron variant. High severity and hospitalization was observed in the first wave (no vaccination) and fully immunized personnel were found to be out of danger of being hospitalized during all succeeding waves (chi-square value: 87.04, p < 0.05). Predictors such as female gender, occupational exposure, and comorbid status were identified as possible risk factors for infection. A total of 70 HCWs reported with 104 complications, of which chronic diseases such as new onset of diabetes (n = 3), cardiovascular events (n = 8), worsening of preexisting comorbidities (n = 8), etc. were found out. This study proves the benefit of being immunized rather than the risk of being infected. This study documents that immunization impacted complication and hospitalization rates of COVID-19 infection. This evidence may help in tackling vaccine hesitancy across the nations.

Reviewing COVID-19 from an anesthesiologist's perspective in 2022: JA symposium.

The COVID-19 pandemic is ongoing as of September 2022. Since January 2020 when the first case was reported in Japan, the medical community faced a variety of problems both domestically and internationally. It is meaningful to review the impact of COVID-19 from an anesthesiologist's perspective to clarify our policy for future infectious disease outbreaks. In this year's Journal of Anesthesia (JA) symposium, five experts who were deeply involved in the COVID-19 response reviewed the past 2.5years and made recommendations for potential future pandemics. Anesthesiologists are specialists in airway management and their role in intubating patients with COVID-19 has received much attention. However, they have also played an important backup role in intensive care as critical care physicians and must be more involved in critical care in regular (non-pandemic) times to properly fulfill this role. It is especially important for the Japan Society of Anesthesiologists and JA to quickly disseminate accurate information on unknown infectious diseases to the medical community and wider society. Therefore, it is important to promptly publish papers that are quality-assured through peer review.

Known and Unknown Transboundary Infectious Diseases as Hybrid Threats.

The pathogenicity, transmissibility, environmental stability, and potential for genetic manipulation make microbes hybrid threats that could blur the distinction between peace and war. These agents can fall below the detection, attribution, and response capabilities of a nation and seriously affect their health, trade, and security. A framework that could enhance horizon scanning regarding the potential risk of microbes used as hybrid threats requires not only accurately discriminating known and unknown pathogens but building novel scenarios to deploy mitigation strategies. This demands the transition of analyst-based biosurveillance tracking a narrow set of pathogens toward an autonomous biosurveillance enterprise capable of processing vast data streams beyond human cognitive capabilities. Autonomous surveillance systems must gather, integrate, analyze, and visualize billions of data points from different and unrelated sources. Machine learning and artificial intelligence algorithms can contextualize capability information for different stakeholders at different levels of resolution: strategic and tactical. This document provides a discussion of the use of microorganisms as hybrid threats and considerations to quantitatively estimate their risk to ensure societal awareness, preparedness, mitigation, and resilience.

A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts.

Early warning is a vital component of emergency response systems for infectious diseases. However, most early warning systems are centralized and isolated, thus there are potential risks of single evidence bias and decision-making errors. In this paper, we tackle this issue via proposing a novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts, aiming to crowdsource early warning tasks to distributed channels including medical institutions, social organizations, and even individuals. Our framework supports two surveillance modes, namely, medical federation surveillance based on federated learning and social collaboration surveillance based on the learning markets approach, and fuses their monitoring results on emerging cases to alert. By using our framework, medical institutions are expected to obtain better federated surveillance models with privacy protection, and social participants without mutual trusts can also share verified surveillance resources such as data and models, and fuse their surveillance solutions. We implemented our proposed framework based on the Ethereum and IPFS platforms. Experimental results show that our framework has advantages of decentralized decision-making, fairness, auditability, and universality. It also has potential guidance and reference value for the early warning and prevention of unknown infectious diseases.

Правовая адаптация в условиях влияния промышленной революции на предпринимательскую деятельность и ключевые компоненты экосистемы

The paper is an overview of the themes selected for the main topic of the issue, their relevance and the validity of the research conducted in the journal for the legislation and law enforcement practice in the context of the industrial revolution and the need for greening modern business. In addition, the author explains the editorial board’s choice of the main topic of the next issue of the legal journal of Volgograd State University “LegalConcept = Legal paradigm” under the title “The right to protect human health and an environmentally friendly business environment”. The objective need for the technology development of the intensive involvement of the potential of Russian environmental entrepreneurship in the industrial revolution processes is substantiated. The most important tasks are identified, which are addressed by the developments in the legal regulation of the digitalization processes of environmental entrepreneurship in Russia. The author lists a set of measures that, in the author’s opinion, are of primary importance for ensuring these processes. It is noted that the topic proposed for development is closely related to the formation of scientific and technological foundations that ensure the economic growth and social development of the Russian Federation. The state of scientific and technological progress achieved by modern society is manifested by the widespread use of digital technologies in various areas of production, business management, the provision of services in medicine, the banking sector, and the social sphere. It is proved that comfortable life, the security of the processes through qualitatively new regulatory approaches, the state security, including cybersecurity, overcoming the adverse effects due to natural disasters, as well as the introduction of biotechnology, entailing the appearance of unknown infectious diseases and viruses, preventing man-made disasters – these and many other goals and objectives can’t be achieved now or get a solution without the use of digital information technologies. It is also impossible to ignore the studies of the society and nature interaction, the cross-sectoral impact of modern technology in the field of renewable energy, the turnover of energy resources and energy efficiency improvement on the environment, the life and health of citizens, the public and state institutions designed to participate in the protection of the environment which corresponds to the solution of the specific objectives set in the Strategy for Scientific and Technological Development of the Russian Federation. According to the author, the studies of the dynamics of interaction between the economic and legal institutions in the field of renewable energy development, the turnover of energy resources, and energy efficiency improvement will contribute to the expansion in renewable energy as one of the “green” sectors of the economy.

Relevance of the problem and the current situation with infectious morbidity in the Russian ­Federation

The article provides an overview of domestic and foreign literary sources devoted to an urgent challenge in modern health care infectious morbidity. The extraordinary socio-economic importance of infectious diseases at the present stage throughout the world, including in the Russian Federation, based on their global spread and high economic losses associated with disability, treatment costs and anti-epidemic measures. In recent decades, the emergence of previously unknown new infectious diseases and the return of old infections, many of which pose a high epidemiological danger and are characterized by high mortality, have been noted. Among the significant reasons for the emergence of new infections, an increase in infectious diseases, changes in the nature of the course of known diseases, it is necessary to note such reasons as a change in a person's lifestyle and the introduction of new technologies. In Russia, a high incidence of acute respiratory infections is recorded annually. An increase in the incidence of acute intestinal infections of viral etiology and a decrease in the incidence of these diseases of bacterial etiology are noted. An urgent problem is the high level of morbidity and mortality from infection caused by the human immunodeficiency virus, as well as the incidence of chronic viral hepatitis and an increase in mortality from their unfavorable outcomes. Natural focal infections remain an important problem, among which hemorrhagic fever with renal syndrome and tick-borne infections occupy a significant place. The threat of the invasion of infections that cause emergencies in the field of sanitary and epidemiological welfare of the population into the Russian Federation territory remains. Infectious diseases are becoming one of the leading causes of premature mortality in the working-age population. In 2020, the Russian Federation faced the pandemic of the new coronavirus infection COVID-19, which led to high morbidity and mortality. Thus, infectious diseases are an urgent problem for the Russian Federation at the present stage, necessitates the development of a targeted program to reduce morbidity and mortality from infectious diseases.

The Risk Mitigation Measures Implemented in China

To present essential and pragmatic lessons for other countries which are still in pandemic and to prepare for future affections diseases, risk mitigation measures took by Chinese government during the COVID-19 pandemic period were assorted and included. Pertinent information was arranged in three parts, pre-pandemic, during-pandemic and after-pandemic. In the first period, stockpile building, public health workforce training and simulation training in China may account for the in-time mitigation. Although these resources could be insufficient in some severely afflicted areas, resources in other places were concentrated to relieve local stress and prevent further expansion of the disease, and the overall training was in an escalating trend. In the second period, advanced technology to detect the virus and timely risk communications in China were of great importance to go through the obstacle, although initial risk communications were not proper in Wuhan, the first outbreak place in China. In the third period, specific vaccine administration, quarantine policies and contact tracing method were timely and effective to depress the risk in China. Measures took in the spread period are of potential use for the infected countries to stop the disease in a shorter time. And the actions in the first two periods instruct all nations to build up a more solid public health network and to develop the assessment of pathogens in advance to prepare for future threats from some unknown or similar infectious diseases.

Usability and the Rapid Deployable Infectious Disease Decision Support System.

Health information technology-guided clinical decision support has demonstrated decreases in patient safety errors in the electronic health record. Unknown and re-emerging infectious diseases are a growing concern for many healthcare facilities. The purpose of this project was to develop a modular approach to integrate rapid deployment of clinical decision support for infectious diseases into the clinical workflow and evaluate the usability of the design. This article reports on the results of a quality improvement project to develop, implement, and evaluate rapid deployment of a clinical decision support module using a tuberculosis use case. Important lessons learned from the electronic health record build with previous Ebola and Zika decision support alert strategy are discussed as foundational in guiding the overall design, implementation, and evaluation of improvement strategies. Subject matter expert feedback was sought throughout the project for electronic health record design and build considerations. Usability evaluation was conducted using the classic Task, User, Representation, and Function unified framework of electronic health record usability. Usability satisfaction for both providers and nurses remained high. Tuberculosis cases pre-alert and post-alert had decreased order times for diagnostic studies. Results suggest satisfied clinicians coupled with usable systems create a more efficient workflow resulting in safer and timelier diagnostic testing.

Tracking and forecasting milepost moments of the epidemic in the early-outbreak: framework and applications to the COVID-19.

Background: The outbreak of the 2019 novel coronavirus (COVID-19) has attracted global attention. In the early stage of the outbreak, the most important question concerns some meaningful milepost moments, including the time when the number of daily confirmed cases decreases, the time when the number of daily confirmed cases becomes smaller than that of the daily removed (recovered and death), and the time when the number of daily confirmed cases and patients treated in hospital, which can be called "active cases", becomes zero. Unfortunately, it is extremely difficult to make right and precise prediction due to the limited amount of available data at theearly stage of the outbreak. To address it, in this paper, we propose a flexible framework incorporating the effectiveness of the government control to forecast the whole process of a new unknown infectious disease in its early-outbreak. Methods: We first establish the iconic indicators to characterize the extent of epidemic spread. Then we develop the tracking and forecasting procedure with mild and reasonable assumptions. Finally we apply it to analyze and evaluate the COVID-19 outbreak using the public available data for mainland China beyond Hubei Province from the China Centers for Disease Control (CDC) during the period of Jan 29th, 2020, to Feb 29th, 2020, which shows the effectiveness of the proposed procedure. Results: Forecasting results indicate that the number of newly confirmed cases will become zero in the mid-early March, and the number of patients treated in the hospital will become zero between mid-March and mid-April in mainland China beyond Hubei Province. Conclusions: The framework proposed in this paper can help people get a general understanding of the epidemic trends in countries where COVID-19 are raging as well as any other outbreaks of new and unknown infectious diseases in the future.

Tracking and forecasting milepost moments of the epidemic in the early-outbreak: framework and applications to the COVID-19

Background: The outbreak of the 2019 novel coronavirus (COVID-19) has attracted global attention. In the early stage of the outbreak, the most important question concerns some meaningful milepost moments, including the time when the number of daily confirmed cases decreases, the time when the number of daily confirmed cases becomes smaller than that of the daily removed (recovered and death), and the time when the number of daily confirmed cases and patients treated in hospital, which can be called “active cases”, becomes zero. Unfortunately, it is extremely difficult to make right and precise prediction due to the limited amount of available data at the early stage of the outbreak. To address it, in this paper, we propose a flexible framework incorporating the effectiveness of the government control to forecast the whole process of a new unknown infectious disease in its early-outbreak. Methods: We first establish the iconic indicators to characterize the extent of epidemic spread. Then we develop the tracking and forecasting procedure with mild and reasonable assumptions. Finally we apply it to analyze and evaluate the COVID-19 outbreak using the public available data for mainland China beyond Hubei Province from the China Centers for Disease Control (CDC) during the period of Jan 29th, 2020, to Feb 29th, 2020, which shows the effectiveness of the proposed procedure. Results: Forecasting results indicate that the number of newly confirmed cases will become zero in the mid-early March, and the number of patients treated in the hospital will become zero between mid-March and mid-April in mainland China beyond Hubei Province. Conclusions: The framework proposed in this paper can help people get a general understanding of the epidemic trends in countries where COVID-19 are raging as well as any other outbreaks of new and unknown infectious diseases in the future.

Tracking and forecasting milepost moments of the epidemic in the early-outbreak: framework and applications to the COVID-19.

Background: The outbreak of the 2019 novel coronavirus (COVID-19) has attracted global attention. In the early stage of the outbreak, the most important question concerns some meaningful milepost moments, including the time when the number of daily confirmed cases decreases, the time when the number of daily confirmed cases becomes smaller than that of the daily removed (recovered and death), and the time when the number of daily confirmed cases and patients treated in hospital becomes zero. Unfortunately, it is extremely difficult to make right and precise prediction due to the limited amount of available data at theearly stage of the outbreak. To address it, in this paper, we propose a flexible framework incorporating the effectiveness of the government control to forecast the whole process of a new unknown infectious disease in its early-outbreak. Methods: We first establish the iconic indicators to characterize the extent of epidemic spread. Then we develop the tracking and forecasting procedure with mild and reasonable assumption. Finally we apply it to analyze and evaluate the COVID-19 using the public available data for mainland China beyond Hubei Province from the China Centers for Disease Control (CDC) during the period of Jan 29th, 2020, to Feb 29th, 2020, which shows the effectiveness of the proposed procedure. Results: Forecasting results indicate that the number of newly confirmed cases will become zero in the mid-early March, and the number of patients treated in the hospital will become zero between mid-March and mid-April in mainland China beyond Hubei Province. Conclusions: The framework proposed in this paper can help people get a general understanding of the epidemic trends in counties where COVID-19 are raging as well as any other outbreaks of new and unknown infectious diseases in the future.

Identification of a novel coronavirus and the landscape of prevention and control of emerging infectious diseases

Since December 2019, there has been widespread concern over an unexplained pneumonia epidemic in Wuhan. Less than a month later, the expert team has identified the etiology, a novel coronavirus, which has won a golden window for effectively preventing the spread of the emerging infectious diseases. The prompt response of Chinese researchers to emerging infectious diseases has been recognized and appreciated by the World Health Organization, and reflects that the substantially improved ability to identify emerging infectious diseases. However, the strength of the current infectious disease discipline in has yet to be further strengthened to meet the needs of China's public health development and the challenges of infectious diseases. Faced with urban aging and the spread of drug-resistant bacterial infections, as well as the increase in imported diseases and the uncontrollable risks of unknown infectious diseases, the future demand for infectious disease prevention and control systems in is diverse, open, and flexible, including but It is not limited to the prevention and control of communicable diseases, diagnosis and treatment of bacterial and fungi infections, nosocomial infection control, and the use of antibiotic-resistant antibacterial drugs. Infectious disease professionals take on important tasks and responsibilities to protect the Healthy China strategy. Key words: SARS-CoV-2 infection; New infectious diseases; Identification of virus

Climate change brings the specter of new infectious diseases.

Climate change will bring major changes to the epidemiology of infectious diseases through changes in microbial and vector geographic range Human defenses against microbial diseases rely on advanced immunity that includes innate and adaptive arms and endothermy, which creates a thermal restriction zone for many microbes Given that microbes can adapt to higher temperatures, there is concern that global warming will select for microbes with higher heat tolerance that can defeat our endothermy defenses and bring new infectious disease Here, Casadevall discusses the strong possibility that new, previously unknown infectious diseases will emerge from warmer climates as microbes adapt to higher global temperatures that can defeat our endothermy thermal barrier