Prediction of SARS-CoV-2 infection cases based on the meta-SEIRS model.

Predicting epidemic trends of coronavirus disease 2019 (COVID-19) remains a key public health concern globally today. However, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfection rate in previous studies of the transmission dynamics model was mostly a fixed value. Therefore, we proposed a meta-Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) model by adding a time-varying SARS-CoV-2 reinfection rate to the transmission dynamics model to more accurately characterize the changes in the number of infected persons.

How does the SARS-CoV-2 reinfection rate change over time? The global evidence from systematic review and meta-analysis.

Background: There is a significant increase in the number of SARS-CoV-2 reinfection reports in various countries. However, the trend of reinfection rate over time is not clear.

Methods: We searched PubMed, Web of Science, Medline, Embase, Cochrane Central Register of Controlled Trials, China National Knowledge Infrastructure, and Wanfang for cohort studies, case-control studies, and cross-sectional studies up to March 16, 2023, to conduct a meta-analysis of global SARS-CoV-2 reinfection rate.

Epidemiological analysis and risk prediction of scrub typhus from 2006 to 2021 in Sichuan, China.

Background: In the past decade, the number of reported cases of scrub typhus (ST) has increased dramatically in Sichuan Province. We aimed to overview the epidemiological characteristics of ST, identify the variables contributing to the spatial distribution, and estimate the risk areas of ST occurrence.

Methods: Daily ST cases reported at the county level from 2006 to 2021 and datasets on environmental and socioeconomic variables were obtained.

Spatio-temporal analysis of bacillary dysentery in Sichuan province, China, 2011-2019.

Background: Bacillary dysentery (BD) is a common infectious disease in China and causes enormous economic burdens. The purpose of this study was to describe the epidemiological characteristics of BD and to identify its possible hot spots and potentially high-risk areas in Sichuan province of China.

Methods: In this study, we collected monthly BD incidence reports of 181 counties in Sichuan province, China, from January 2011 to December 2019.

Niche modeling predictions of the potential distribution of Marmota himalayana, the host animal of plague in Yushu County of Qinghai.

Background: After the earthquake on 14, April 2010 at Yushu in China, a plague epidemic hosted by Himalayan marmot (Marmota himalayana) became a major public health concern during the reconstruction period. A rapid assessment of the distribution of Himalayan marmot in the area was urgent. The aims of this study were to analyze the relationship between environmental factors and the distribution of burrow systems of the marmot and to predict the distribution of marmots.

[Study of the plasmid profiles and geographical distribution of Yersinia pestis in China].

Objective: To analyze the plasmid features and geographical distribution characteristics of Yersinia pestis of different plague foci in China.

Methods: A total of 2 213 Yersinia pestis strains were colected from 11 Chinese plague foci separated during 1943 to 2012, and plasmid DNA according to alkali cracking method, and measured the relative molecular mass (Mr) of plasmid DNA based on the standard plasmid contrast method, then analyzed the plasmid profiles by agar gel electrophoresis.

Results: A total of 2 213 strains had 16 kinds of plasmids with different Mr, including 4×10(6), 6×10(6), 7×10(6), 13×10(6), 16×10(6), 20×10(6), 22×10(6), 23×10(6), 27×10(6), 30×10(6), 36×10(6), 45×10(6), 52×10(6), 65×10(6), 72×10(6) and 90×10(6).

Multilocus sequence typing analysis of Cronobacter spp. isolated from China.

Multilocus sequence typing (MLST) has proven to be an effective approach for the subtyping isolates of the Cronobacter genus and to exhibit a high level of discrimination between isolates. In this study, 151 Cronobacter strains were isolated from different sources and provinces across China from 2010 to 2012 and analyzed by MLST. Their sequence type profiles were compared with strains from other countries which were widely geographically and temporally distributed.

Prevalence and characteristics of Shiga toxin-producing Escherichia coli isolated from retail raw meats in China.

Shiga toxin-producing Escherichia coli (STEC) causes diarrhea, hemorrhagic colitis, and hemolytic uremic syndrome in humans. Most human infections are attributed to consumption of STEC-contaminated foodstuffs of animal origin. In this study, we evaluated the prevalence of STEC from retail raw meats collected from two geographical regions in China.

[Regional genotyping and the geographical distribution regarding Yersinia pestis isolates in China].

Objective: To type Yersinia (Y.) pestis isolates under different regions (DFR) and to observe their geographical distributions in China.

Methods: 23 DFRs primers and PMT1 (plasmid) primer were used to verify the DFR genomovars of Y.

[Analysis on the results of etiology and serology of plague in Qinghai province from 2001 to 2010].

Objective: To analyze the results of etiology and serology of plague among human and infected animals in Qinghai province from 2001 to 2010.

Methods: Thirty-seven cases of human infected with plague, 53 541 different animal samples, 5 685 sets of vector insects flea and 49 039 different animal serum samples were obtained between 2001 and 2010. A total of 7 811 samples of serum from healthy farmers and herdsmen in 14 counties in Qinghai from 2005 to 2007 were collected.

[Sources of infection on human plague in Qinghai province].

Objective: To study the biological and genetic characteristics of 119 strains of Yersinia (Y.) pestis isolated from plague patients in Qinghai province, from 1958-2012.

Methods: Both regular methods and different region(DFR)molecular typing techniques were used to study the epidemiological characteristics on 119 strains of Y.

[The pathogenic ecology research on plague in Qinghai plateau].

Objective: To study the pathogenic ecology characteristics of plague in Qinghai plateau.

Methods: Applied molecular biology techniques, conventional technologies and geographic information system (GIS) to study phenotypic traits, plasmid spectrum, genotype, infected host and media spectrum etc.of 952 Yersinia pestis strains in Qinghai plateau plague foci, which were separated from different host and media in different regions during 1954 to 2012.

[Study on the pathogen of plague in Sanjiangyuan area in Qinghai province].

Objective: To study the biological characteristics of Yersinia pestis and to develop prevention and control program on plague in Sanjiangyuan areas, Qinghai province.

Methods: To identify the biologic types and molecular biological features of Y.pestis isolated in Sanjiangyuan area from 1954-2007.