Objective To compare the association of the incidence and mortality of leukemia and the human development index(HDI)in different countries or regions in 2022,and the trend of leukemia incidence and mortality with age in countries with different HDI levels.Methods GLOBOCAN 2022 data related to leukemia incidence and mortality in different countries or regions worldwide and HDI were evaluated by Pearson correlation analysis and Kruskal-Wallis test.The incidence and mortality rates of each age and the age change trend were analyzed using the Joinpoint Regression model.Results Age-standardized incidence rate(ASIR),age-standardized mortality rate(ASMR),and mortality to incidence ratio(M/I)were statistically significantly different among the four groups of HDI countries(P<0.001).HDI was positively correlated with ASIR and ASMR and negatively correlated with M/I.Among all ages,ASIR and ASMR of leukemia of the four groups had similar trends with age,and the risk of leukemia was high at ages less than 15 and more than 40.The incidence of leukemia in all age groups in China differed from those in other countries with high HDI,while the mortality rate was lower than those in other countries with high HDI.Conclusion Countries or regions with higher HDI have higher ASIR and ASMR and lower M/I because of their better medical condition.

Chronic diseases have become an important public health problem for people under 70 years of age worldwide， while also causing a great economic burden. The establishment of clinical prediction models can help to predict the risk of a disease or the prognostic effect of a study subject in advance by means of index testing at the early stage of chronic diseases， and plays an increasingly important role in clinical practice. This study introduces clinical diagnostic prediction models and clinical prognostic prediction models， and reviews clinical data processing， clinical prediction model building， visualization methods and model evaluation from the perspective of the application of clinical prediction models， which contribute to the correct and reasonable use of prediction models in clinical research.

ObjectiveTo compare the annual and age trends of the age-standard incidence rate （ASIR） and the age-standard mortality rate （ASMR） of lung cancer in countries with different human development index （HDI） from 1990 to 2019. MethodsThe data were collected from the global burden of disease study and GLOBOCAN 2020. The average annual percentage change （AAPC） and age trends of ASIR and ASMR in lung cancer were analyzed by the Joinpoint regression model， and the comparison between the four groups was analyzed by Kruskale-Wallis analysis. ResultsIn 2020， the incidence and mortality of lung cancer gradually increased with age and HDI grade. From 1990 to 2019， the global ASIR and ASMR of lung cancer decreased， and the ASIR of lung cancer among male decreased， while the ASIR of lung cancer among female increased. The results showed that ASIR of lung cancer in female residents in countries with very high HDI increased significantly from 1996 to 2011， resulting in an overall upward trend in female ASIR， while the other groups showed a downward trend. It was found that ASIR and ASMR of lung cancer in China and India were on the rise， while ASIR and ASMR of lung cancer in Russia and the United States were on the decline. ConclusionAlthough very high/high HDI countries face a higher burden of lung cancer occurrence and death， the accumulation of lung cancer burden is completed in the transitioning period. Therefore， lung cancer prevention measures in countries in transition are critical for global lung cancer control.

ObjectiveTo determine the influence of COVID-19 prevention and control on the epidemic characteristics and dynamics of notifiable infectious diseases in the first quarters， Zhejiang Province， and to explore more effective countermeasures against infectious diseases. MethodsDescriptive epidemiology was conducted to determine the change in notifiable infectious diseases during the prevention and control of COVID-19 in Zhejiang Province by retrieving the data of notifiable infectious diseases from 2017 to 2022 in the Chinese information system for disease control and prevention. Cumulative reported new cases of notifiable infectious diseases in the first quarters of 2017‒2019 were compared with that of 2020‒2022. ResultsA total of 546 753 cases of notifiable infectious diseases were newly reported in the first quarters of 2017‒2019， with an average incidence of 321.92/10⁵. In contrast， a total of 509 908 cases of notifiable infectious diseases were newly reported in the first quarters of 2020‒2022， during which the COVID-19 epidemic occurred， with an average incidence of 270.39/10⁵. The incidence in 2020‒2022 significantly declined by 51.53/10⁵， compared with that in 2017‒2019 （χ²=8 072.06， P<0.001）. In the first quarters of 2020‒2022， the average incidence of zoonotic diseases and vector-borne diseases decreased by more than 50%. In addition， the incidence of respiratory， enteric， blood-borne， and sexually transmitted diseases declined to certain degree. ConclusionThe decline in the newly reported cases of non-COVID-19 notifiable infectious diseases in the first quarters of 2020‒2022 indicates that the countermeasures against COVID-19 epidemic， such as multi-disease co-prevention， multi-sectoral collaboration， societal mobilization and personal hygiene and protection， may also decrease the incidence of multiple infectious diseases. It suggests the countermeasures are effective， which would provide evidence for routine prevention and control of infectious diseases in future.

ObjectiveTo identify causal factors of a case of severe Chlamydia psittaci pneumonia in Yangpu District and provide a scientific basis for effective prevention and control. MethodsBasic information and epidemiological data of the patient were collected through telephone interviews and field epidemiological surveys. Specimens from the patient， close contacts and the environment were collected for pathogen detection. Metagenomics next-generation sequencing （mNGS） was used to identify unknown pathogens. ResultsA 65-year-old male patient with a history of hypertension and diabetes was admitted to the hospital with symptoms of fatigue， poor appetite for a week， fever and cough for four days. A chest computer tomography （CT） scan showed scattered inflammation in the left lung with infiltration of multiple lobes. Blood gas analysis showed type I respiratory failure. The results of mNGS on the bronchoalveolar lavage fluid of the patient indicated that he was infected with Chlamydia psittaci. Epidemiological investigation showed a clear history of avian exposure， with an incubation period of 30 days. ConclusionThis serious pneumonia is a zoonotic disease caused by Chlamydia psittaci. A clear history of avian exposure and the use of mNGS technology can help in the timely diagnosis of this disease.

Statistics plays an important role in medical research， and the selection of appropriate statistical methods is crucial for drawing reliable and valuable conclusions. This paper provides a brief introduction to commonly used statistical analysis methods for medical data， covering descriptive analysis， parametric test， nonparametric test， correlation analysis， regression analysis， and analysis of survival data. It focuses on discussing the assumptions of multiple linear regression， logistic regression and Cox proportional risk regression， as well as how to choose the appropriate statistical methods for analyzing and interpreting medical data based on different research objectives and data types.

Clinical research reports serve as the presentation of scientific research findings and directly reflect the quality of the research. This article describes the writing of different types of clinical research reports， such as observational studies and randomized controlled trial studies， with a particular focus on randomized controlled trials. Each scientific research design has its reporting focus， and the writing of scientific research papers has uniform requirements and a specific writing format. Mastering the proper format of drafting research reports is of practical value and significant importance for conduction high-quality clinical research.

To establish a disease risk prediction model based on genetic susceptibility genes and environmental risk factors， which can target high-risk population as early as possible， and intervene in the environmental risk factors in this population. Moreover， accurate screening of genetically susceptible populations can enhance the efficiency of health system. In recent years， with the maturation and cost reduction of high-throughput gene testing， gene testing has been widely used in individual clinical decision-making and will play a more important role in medical and health decision-making. The correlation between genetic testing and disease risk prediction is increasing， making it a prominent research topic in this field. This review summarizes the approaches for establishing and evaluating risk prediction models and discusses potential future challenges and opportunities.

When facing two or more choices， sound decision-making is critical. In the field of clinical medical practice and public health， more and more researchers use decision-making analysis as an important tool to assist in making the optimal choices. Public health emergencies have the characteristics of group cases， sudden and uncertain. In addition to causing serious damage to public health， they may also have varying degrees of impact on socio-economic， psychological and even social stability. At present， we have not seen the application of mature and sound decision analysis in public health emergency response. This paper reviewed the development of decision analysis in the medical field and the application of common decision-making models in clinical practice. Combined with the current situation of global infectious disease outbreaks and prevention and control， this paper puts forward the concepts and prospects of establishing an auxiliary decision-making system for public health emergencies， aiming to provide a scientific method for medical and health workers to respond to public health emergencies.

The severe acute respiratory syndrome coronavirus 2 （SARS-CoV-2） and its variants are still globally spreading. Vaccines can reduce the mortality， but cannot eliminate the risk of infection. The identification and protection of the high-risk susceptible population remains of great importance for the prevention and control of SARS-CoV2 and other coronavirus infections. Smoking is an important risk factor for many respiratory diseases， and therefore may also influence the risk of SARS-CoV2 infection and the disease progression after infection. This study reviewed the epidemiological and mechanistic evidence supporting the relationship between tobacco exposure and SARS-CoV2 infection， summarized the contributing effects of tobacco exposure to the infection risk， disease severity， and mortality of COVID-19， and analyzed the molecular mechanisms by which cigarette smoking affects COVID-19 through regulating inflammatory microenvironment and gene expression.