Epidemiological and Clinical Characteristics of Measles in Jinan, Shandong Province, China, from 1991 to 2022.

Objective: This study aimed to analyze the epidemiological and clinical characteristics of measles in Jinan, Shandong, China, over a 32-year stage to facilitate measles prevention in the future.

Methods: Data on measles cases from 1991 to 2022 were obtained from the public health department and medical records of patients at Shandong Public Health Clinical Center. Retrospective analysis was conducted on the distribution of measles cases in different years, months, and age groups, and observation of the differences in clinical manifestations and complications among different age groups.

The regularity of nourishing-yin prescription for treating ascites due to hepatitis B cirrhosis based on data mining technology.

Background: Clinically, Chinese medicine is mostly used to treat ascites due to hepatitis B cirrhosis by nourishing-yin. We summarize the pattern of prescriptions for nourishing-yin inascites due to hepatitis B cirrhosis based on data mining to better use traditional Chinese medicine (TCM) to treat cirrhotic ascites in hepatitis B.

Methods: Articles published from 2000 to 2020 on ascites due to hepatitis B cirrhosis were searched in the Chinese National Knowledge Infrastructure and Chinese Science and Technology Journal Database.

Dynamic profiles of SARS-Cov-2 infection from five Chinese family clusters in the early stage of the COVID-19 pandemic.

Although several cases of family clusters with SARS-Cov-2 infection have been reported, there are still limited data preventing conclusions from being drawn regarding the characteristics and laboratory findings in the COVID-19 population within family clusters. In the present study, we retrospectively collected five family clusters with COVID-19 and summarized the dynamic profiles of the clinical characteristics, laboratory findings, immune markers, treatment and prognosis of this population. Furthermore, we also compared clinical and laboratory data between the SARS-Cov-2 infection with family cluster (n = 21) and those without family cluster (n = 16).

A Newly Established Severity Scoring System in Predicting the Prognosis of Patients with Severe Fever with Thrombocytopenia Syndrome.

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease caused by novel Bunyavirus. Due to the peculiarity of SFTS, accurate assessment is difficult to achieve with the current score systems. This study aimed to establish a new severity scoring system in predicting the prognosis of patients with SFTS.