Notifiable Infectious Diseases Research Articles

Reported Cases and Deaths of National Notifiable Infectious Diseases - China, August, 2021.

Reported Cases and Deaths of National Notifiable Infectious Diseases - China, August, 2021.

Reported Cases and Deaths of National Notifiable Infectious Diseases - China, November, 2020.

Reported Cases and Deaths of National Notifiable Infectious Diseases - China, November, 2020.

Evaluation of the Cherokee Nation Hepatitis C Virus Elimination Program in the First 22 Months of Implementation

In 2019, hepatitis C virus (HCV) infection contributed to more deaths in the US than 60 other notifiable infectious diseases combined. The incidence of and mortality associated with HCV infection are highest among American Indian and Alaska Native individuals. To evaluate the association of the Cherokee Nation (CN) HCV elimination program with each element of the cascade of care: HCV screening, linkage to care, treatment, and cure. This cohort study used data from the CN Health Services (CNHS), which serves approximately 132 000 American Indian and Alaska Native individuals residing in the 14-county CN reservation in rural northeastern Oklahoma. Data from the first 22 months of implementation (November 1, 2015, to August 31, 2017) of an HCV elimination program were compared with those from the pre-elimination program period (October 1, 2012, to October 31, 2015). The analysis included American Indian and Alaska Native individuals aged 20 to 69 years who accessed care through the CNHS between October 1, 2012, and August 31, 2017. Cure data were recorded through April 15, 2018. The CN HCV elimination program. The main outcomes were the proportions of the population screened for HCV, diagnosed with current HCV infection, linked to care, treated, and cured during the initial 22 months of the elimination program period and the pre-elimination program period. Data from electronic health records and an HCV treatment database were analyzed. The cumulative incidence of HCV infection in this population was estimated using bayesian analyses. Among the 74 039 eligible individuals accessing care during the elimination program period, the mean (SD) age was 36.0 (13.5) years and 55.9% were women. From the pre-elimination program period to the elimination program period, first-time HCV screening coverage increased from 20.9% to 38.2%, and identification of current HCV infection and treatment in newly screened individuals increased from a mean (SD) of 170 (40) per year to 244 (4) per year and a mean of 95 (133) per year to 215 (9) per year, respectively. During the implementation period, of the 793 individuals with current HCV infection accessing the CNHS, 664 were evaluated (83.7%), 394 (59.3%) initiated treatment, and 335 (85.0%) had documented cure. In less than 2 years, the 85% 3-year goal was reached for cure (85.0%), and the goal for linkage to care was nearly reached (83.7%), whereas screening (44.1%) and treatment initiation (59.3%) required more time and resources. This cohort study found that after 22 months of implementation, the CNHS community-based HCV elimination program was associated with an improved cascade of care. The facilitators and lessons learned in this program may be useful to other organizations planning similar programs.

The Impact of the COVID-19 Pandemic and Associated Public Health Measures on Other Notifiable Infectious Diseases Under National Surveillance in Germany, Week 1-2016 – Week 32-2020

Background: The COVID-19 pandemic and associated public health measures affect healthcare seeking behaviour, access to healthcare, test strategies, disease notification and workload at public health authorities, but may also lead to a true change in transmission dynamics. We aimed to assess the impact of the pandemic and associated public health measures on other notifiable infectious diseases under surveillance in Germany.Methods: We included 32 nationally notifiable diseases categories with case numbers >100/year in 2016-2019. We used quasi-Poisson regression analysis on a weekly aggregated time-series incorporating trend and seasonality, to compute the relative change in case numbers during week 2020-10 to 2020-32 (pandemic), in comparison to week 2016-01 to 2020-09.Findings: During week 2020-10 to 2020-32, 216,825 COVID-19 cases, and 162,942 (-35%) cases of other diseases, were notified. Case numbers decreased across all ages and notification categories (all pAcinetobacter, to -28% for Methicillin-resistant Staphylococcus aureus invasive infection) and sexually transmitted and blood-borne diseases (from -28% for hepatitis B, to -12% for syphilis).Interpretation: During the COVID-19 pandemic a drastic decrease of notifications for most infectious diseases and pathogens was observed. Our findings suggest effects of non-pharmaceutical COVID-19 countermeasures on overall disease transmission that require further investigation.Funding: None.Declaration of Interests: We declare no competing interests.Ethics Approval Statement: Pseudonymized notification data was collected at the RKI based on the German Infection Protection Act.

The Impact of the Coronavirus Disease 2019 Epidemic on the Status of Notifiable Infectious Diseases in Taiwan

Background: The impact of the COVID-19 pandemic on the incidence of notifiable infectious diseases (NID) in Taiwan remains unclear. Methods: The number of cases of NID between January and September 2019 and 2020 were obtained from the open database established by the Taiwan Centers for Disease Control for comparison. Percentage change was defined as the difference in the number of cases between 2020 and 2019, divided by the number in 2019 and multiplied by 100. Findings: Overall, 42 NID were included in this study. The number of cases was 21,895 between January and September 2020, which was lower than the number of cases during the same period in 2019 (n = 24,469), with a decline in incidence from 102.9 to 91.7 per 100,000 people in 2019 and 2020, respectively. Among these diseases, 30 infectious diseases showed a lower incidence in 2020 than in 2019. In contrast, an increase in the number of cases of 10 diseases was observed in 2020 in comparison with 2019, and 2 diseases had the same number of cases in both 2019 and 2020. Fourteen airborne/droplet, 11 fecal-oral, seven vector-borne, and four direct-contact transmitted NID had an overall reduction of 2,700 (-28.1%), 156 (-23.0%), 557 (-54.8%), and 73 (-45.9%) cases, respectively, from 2019 to 2020. Similar trends were observed for the changes in incidence, which were 11.5 (-28.4%), 6.7 (-23.4%), 2.4 (-55.0%), and 0.3 (-46.2%) per 100,000 people for airborne/droplet, fecal-oral, vector-borne, and direct-contact transmitted NID, respectively. In addition, all the 38 imported NID showed a reduction of 632 (-73.5%) cases from 2019 to 2020. In contrast, 4 sexually transmitted diseases (STDs) showed an increase of 903 (+7.2%) cases from 2019 to 2020, which was attributed to the increase in gonorrhea (from 3,220 to 5,028). The overall incidence of STDs increased from 52.5 to 56.0 per 100,000 people, with a percentage change of +6.7%. Interpretation: This study demonstrated a collateral benefit of COVID-19 prevention measures for various infectious diseases, except STDs, in Taiwan, during the COVID-19 epidemic.Funding Statement: This study did not receive any specific funding from agencies in the public, commercial, or not-for-profit sectors.Declaration of Interests: The authors have no competing interests.

Epidemiological characteristics of severe cases of hand, foot, and mouth disease in China, 2008-2018

Objective: To characterize the epidemiology of severe hand, foot and mouth disease (HFMD) in China from 2008 to 2018 and provide evidence for the prevention and control of severe HFMD. Methods: The incidence data of severe HFMD cases from 2008 to 2018 were collected from the National Notifiable Infectious Diseases Reporting System of Chinese Center for Disease Control and Prevention. Descriptive epidemiological methods were used to analyze distributions, pathogen constituent and change of severe HFMD. Joinpoint regression model was used to analyze the trends of severity rate, proportion of severe cases and severe fatality rate. Results: From 2008 to 2018, a total of 157 065 cases of severe HFMD were reported in China, with an average annual case-severity rate of 1.05/100 000, a severe case proportion of 0.76% and a severity-fatality rate of 2.34%. The severity rate and the proportion of severe cases showed a downward trend after 2010, and severe fatality rate decreased significantly after 2014. The severe cases mainly occurred in infants aged ≤3 years (91.47%), more boys were affected than girls (1.78∶1). The median age of severe HFMD cases caused by EV-A71 was highest (1.99 years) and increased year by year, other enterovirus infection cases accounted for a higher proportion in infants aged ≤1 year (66.56%). The incidence peak occurred during April-July, other enteroviruses replaced EV-A71 as the predominant serotype in 2018 (61.97%). The incidence of severe HFMD were high in some provinces in southwestern, central and eastern China. Conclusion: The overall severity rate, proportion of severe cases and severe fatality rate of HFMD in the mainland of China have shown a downward trend. The predominant pathogen in some provinces has changed from EV-A71 to other enteroviruses. It is necessary to strengthen the prevention and control of HFMD in key population, high incidence seasons and areas and carry out the surveillance of various pathogens of HFMD.

Epidemiological characteristics and trends of notifiable infectious diseases in China from 1986 to 2016.

BackgroundSince the 1980s, China has undergone significant social change and the incidence of infectious diseases has also changed considerably. Here, we report the epidemiological features and changes in notifiable infectious diseases in China from 1986 to 2016 to explore the factors contributing to the successful control of infectious diseases and the challenges faced in the prevention and control of infectious diseases.MethodsThe data of notifiable infectious diseases in China from 1986 to 2016 were collected from the monthly analysis report of the National Infectious Disease Surveillance System. Joinpoint regression models were used to examine incidence and mortality trends from 1986 to 2016. IBM SPSS Statistics version 22.0, Excel 2010 and R x64 3.5.2 were used for data analysis.ResultsA total of 132 858 005 cases of notifiable infectious diseases were reported over these 31 years, with an average yearly incidence of 342.14/100 000. There were 284 694 deaths with an average yearly mortality rate of 0.73/100 000. The overall incidence and overall mortality of notifiable infectious diseases both showed a “U” distribution (ie, a decrease, stable, an increase, stable again). The top five diseases in terms of incidence were hand, foot and mouth disease, viral hepatitis, tuberculosis, other infectious causes of diarrhea and dysentery, accounting for 78.0% of all reported cases. The top five causes of death were HIV/AIDS, rabies, tuberculosis, viral hepatitis and epidemic encephalitis B, which accounted for 76.07% of all mortalities. The diseases with the top five fatality rates were rabies, H5N1, H7N9, HIV/AIDS and plague, with rates of 91.06%, 66.07%, 38.51%, 25.19% and 10.31%, respectively.ConclusionsThis analysis will benefit the future monitoring of infectious diseases and public health measures in China.

Brief Report: Virologic and Immunologic Outcomes for HIV Patients With Coronavirus Disease 2019.

To describe the virologic and immunologic outcomes among people living with HIV (PLHIV) coinfected with SARS-CoV-2. Wuhan, China. Thirty-five coinfected patients were identified by matching the reported cases in National Notifiable Infectious Disease Report system for COVID-19 and HIV in Wuhan by time of April 19, 2020. Questionnaire-based survey and follow-up with blood sample collection were used to obtain characteristics before COVID-19 and after recovery. Nonparametric Mann-Whitney U test, χ2, or Fisher exact test, Mcnemar test, and Wilcoxon test were conducted. Twenty of the 35 coinfected patients were identified as asymptomatic/mild/moderate COVID-19 (nonsevere group) and 15 were identified as severe/critical (severe group). The severe and nonsevere group had no differences in demographics, HIV baseline status, the intervals between last tests and follow-up tests for CD4+ cell count and HIV-1 viral load (all P > 0.05). Overall, there was a significantly increased number of coinfected patients with HIV-1 viral load ≥20 copies/mL after recovery (P = 0.008). The median viral load increased significantly after recovery in severe group (P = 0.034), whereas no significant change of HIV-1 viral load was observed in the nonsevere group. Limited change of CD4+ cell count was found (all P > 0.05). The coinfection of SARS-CoV-2 may put PLHIV at greater risk for HIV-1 viral rebound especially for severe/critical COVID-19, whereas it had limited impacts on CD4+ cell count. Whether continuous antiretroviral therapy against HIV infection would have significant impacts on CD4+ cell count among PLHIV coinfected with SARS-CoV-2 needs further research.

Time varying methods to infer extremes in dengue transmission dynamics.

Dengue is an arbovirus affecting global populations. Frequent outbreaks occur, especially in equatorial cities such as Singapore, where year-round tropical climate, large daily influx of travelers and population density provide the ideal conditions for dengue to transmit. Little work has, however, quantified the peaks of dengue outbreaks, when health systems are likely to be most stretched. Nor have methods been developed to infer differences in exogenous factors which lead to the rise and fall of dengue case counts across extreme and non-extreme periods. In this paper, we developed time varying extreme mixture (tvEM) methods to account for the temporal dependence of dengue case counts across extreme and non-extreme periods. This approach permits inference of differences in climatic forcing across non-extreme and extreme periods of dengue case counts, quantification of their temporal dependence as well as estimation of thresholds with associated uncertainties to determine dengue case count extremities. Using tvEM, we found no evidence that weather affects dengue case counts in the near term for non-extreme periods, but that it has non-linear and mixed signals in influencing dengue through tvEM parameters in the extreme periods. Using the most appropriate tvEM specification, we found that a threshold at the 70th (95% credible interval 41.1, 83.8) quantile is optimal, with extreme events of 526.6, 1052.2 and 1183.6 weekly case counts expected at return periods of 5, 50 and 75 years. Weather parameters at a 1% scaled increase was found to decrease the long-run expected case counts, but larger increases would lead to a drastic expected rise from the baseline correspondingly. The tvEM approach can provide valuable inference on the extremes of time series, which in the case of infectious disease notifications, allows public health officials to understand the likely scale of outbreaks in the long run.

Use of meteorological parameters for forecasting scarlet fever morbidity in Tianjin, Northern China.

The scarlet fever incidence has increased drastically in recent years in China. However, the long-term relationship between climate variation and scarlet fever remains contradictory, and an early detection system is lacking. In this study, we aim to explore the potential long-term effects of variations in monthly climatic parameters on scarlet fever and to develop an early scarlet-fever detection tool. Data comprising monthly scarlet fever cases and monthly average climatic variables from 2004 to 2017 were retrieved from the Notifiable Infectious Disease Surveillance System and National Meteorological Science Center, respectively. We used a negative binomial multivariable regression to assess the long-term impacts of weather parameters on scarlet fever and then built a novel forecasting technique by integrating an autoregressive distributed lag (ARDL) method with a nonlinear autoregressive neural network (NARNN) based on the significant meteorological drivers. Scarlet fever was a seasonal disease that predominantly peaked in spring and winter. The regression results indicated that a 1°C increment in the monthly average temperature and a 1-h increment in the monthly aggregate sunshine hours were associated with 17.578% (95% CI 7.674 to 28.393%) and 0.529% (95% CI 0.035 to 1.025%) increases in scarlet fever cases, respectively; a 1-hPa increase in the average atmospheric pressure at a 1-month lag was associated with 12.996% (95% CI 9.972 to 15.919%) decrements in scarlet fever cases. Based on the model evaluation criteria, the best-performing basic and combined approaches were ARDL(1,0,0,1) and ARDL(1,0,0,1)-NARNN(5, 22), respectively, and this hybrid approach comprised smaller performance measures in both the training and testing stages than those of the basic model. Climate variability has a significant long-term influence on scarlet fever. The ARDL-NARNN technique with the incorporation of meteorological drivers can be used to forecast the future epidemic trends of scarlet fever. These findings may be of great help for the prevention and control of scarlet fever.

Retrospective Case-Control Study of 2017 G2P[4] Rotavirus Epidemic in Rural and Remote Australia.

Background: A widespread G2P[4] rotavirus epidemic in rural and remote Australia provided an opportunity to evaluate the performance of Rotarix and RotaTeq rotavirus vaccines, ten years after their incorporation into Australia’s National Immunisation Program. Methods: We conducted a retrospective case-control analysis. Vaccine-eligible children with laboratory-confirmed rotavirus infection were identified from jurisdictional notifiable infectious disease databases and individually matched to controls from the national immunisation register, based on date of birth, Aboriginal status and location of residence. Results: 171 cases met the inclusion criteria; most were Aboriginal and/or Torres Strait Islander (80%) and the median age was 19 months. Of these cases, 65% and 25% were fully or partially vaccinated, compared to 71% and 21% of controls. Evidence that cases were less likely than controls to have received a rotavirus vaccine dose was weak, OR 0.79 (95% CI, 0.46–1.34). On pre-specified subgroup analysis, there was some evidence of protection among children <12 months (OR 0.48 [95% CI, 0.22–1.02]), and among fully vs. partially vaccinated children (OR 0.65 [95% CI, 0.42–1.01]). Conclusion: Despite the known effectiveness of rotavirus vaccination, a protective effect of either rotavirus vaccine during a G2P[4] outbreak in these settings among predominantly Aboriginal children was weak, highlighting the ongoing need for a more effective rotavirus vaccine and public health strategies to better protect Aboriginal children.

İnfeksiyon Hastalıkları ve Klinik Mikrobiyoloji Asistanları ve Uzmanlarının Zorunlu Bulaşıcı Hastalık Bildirimi ile İlgili Tutum ve Davranışları

İnfeksiyon Hastalıkları ve Klinik Mikrobiyoloji Asistanları ve Uzmanlarının Zorunlu Bulaşıcı Hastalık Bildirimi ile İlgili Tutum ve Davranışları

Status of National Notifiable Infectious Diseases in Jeju Province, Korea: 2001-2019

Status of National Notifiable Infectious Diseases in Jeju Province, Korea: 2001-2019

Spatiotemporal characteristics and the epidemiology of tuberculosis in China from 2004 to 2017 by the nationwide surveillance system

BackgroundChina has always been one of the countries with the most serious Tuberculosis epidemic in the world. Our study was to observe the Spatial-temporal characteristics and the epidemiology of Tuberculosis in China from 2004 to 2017 with Joinpoint regression analysis, Seasonal Autoregressive integrated moving average (SARIMA) model, geographic cluster, and multivariate time series model.MethodsThe data of TB from January 2004 to December 2017 were obtained from the notifiable infectious disease reporting system supplied by the Chinese Center for Disease Control and Prevention. The incidence trend of TB was observed by the Joinpoint regression analysis. The Seasonal autoregressive integrated moving average (SARIMA) model was used to predict the monthly incidence. Geographic clusters was employed to analyze the spatial autocorrelation. The relative importance component of TB was detected by the multivariate time series model.ResultsWe included 13,991,850 TB cases from January 2004 to December 2017, with a yearly average morbidity of 999,417 cases. The final selected model was the 0 Joinpoint model (P = 0.0001) with an annual average percent change (AAPC) of − 3.3 (95% CI: − 4.3 to − 2.2, P < 0.001). A seasonality was observed across the 14 years, and the seasonal peaks were in January and March every year. The best SARIMA model was (0, 1, 1) X (0, 1, 1)12 which can be written as (1-B) (1-B12) Xt = (1–0.42349B) (1–0.43338B12) εt, with a minimum AIC (880.5) and SBC (886.4). The predicted value and the original incidence data of 2017 were well matched. The MSE, RMSE, MAE, and MAPE of the modelling performance were 201.76, 14.2, 8.4 and 0.06, respectively. The provinces with a high incidence were located in the northwest (Xinjiang, Tibet) and south (Guangxi, Guizhou, Hainan) of China. The hotspot of TB transmission was mainly located at southern region of China from 2004 to 2008, including Hainan, Guangxi, Guizhou, and Chongqing, which disappeared in the later years. The autoregressive component had a leading role in the incidence of TB which accounted for 81.5–84.5% of the patients on average. The endemic component was about twice as large in the western provinces as the average while the spatial-temporal component was less important there. Most of the high incidences (> 70 cases per 100,000) were influenced by the autoregressive component for the past 14 years.ConclusionIn a word, China still has a high TB incidence. However, the incidence rate of TB was significantly decreasing from 2004 to 2017 in China. Seasonal peaks were in January and March every year. Obvious geographical clusters were observed in Tibet and Xinjiang Province. The relative importance component of TB driving transmission was distinguished from the multivariate time series model. For every provinces over the past 14 years, the autoregressive component played a leading role in the incidence of TB which need us to enhance the early protective implementation.

Assessment of Pediatric Outpatient Visits for Notifiable Infectious Diseases in a University Hospital in Beijing During COVID-19

This cross-sectional study assesses changes in numbers of pediatric outpatient visits for notifiable infectious diseases acquired through droplet transmission, contact transmission, or both after implementation of coronavirus disease 2019 (COVID-19)–related public health measures during the COVID-19 outbreak in Beijing, China.

Building the National SARS-CoV-2 Laboratory Diagnostic Capacity in Taiwan.

Through early and proactive laboratory testing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes novel coronavirus 2019, Taiwan has demonstrated an efficient and rapid control response to contain the outbreak. Two days after the World Health Organization announced the complete viral genome sequence, the national laboratory of the Taiwan Centers for Disease Control developed a specific real-time reverse transcription polymerase chain reaction (real-time RT-PCR) test for SARS-CoV-2. The national laboratory network was further strengthened through the recruitment of medical centers and regional hospitals distributed throughout most geographical regions of the country. Ultimately, a network of 60 laboratories with a capacity of 7,342 real-time RT-PCR tests per day was established. Between January 14 and August 5, 2020, a total of 158,772 tests were conducted, corresponding to 120,487 cases. Test results were obtained within 24 hours, enabling an efficient and rapid control response.

Coronavirus disease 2019 epidemic in impoverished area: Liangshan Yi autonomous prefecture as an example

BackgroundThe outbreak of coronavirus disease 2019 (COVID-19) had spread worldwide. Although the world has intensively focused on the epidemic center during this period of time, it is imperative to emphasize that more attention should also be paid to some impoverished areas in China since they are more vulnerable to disease outbreak due to their weak health service capacities. Therefore, this study took Liangshan Yi Autonomous Prefecture as an example to analyze the COVID-19 epidemic in the impoverished area, evaluate the control effect and explore future control strategies.MethodsIn this study, we collected information including age, gender, nationality, occupation, and address of all COVID-19 cases reported from 25 January 2020 to 23 April 2020 in Liangshan Prefecture from the Nationwide Notifiable Infectious Diseases Reporting Information System (NIDRIS), which were used under license and not publicly available. Additionally, we retrieved other information of cases through epidemiological investigation reports reviewing. Data were analyzed using the software Excel 2010 and SPSS 17.0. The geographic distribution of cases was mapped using ArcGIS10.2.ResultsBy 23 April 2020, a total of 13 COVID-19 cases and two asymptomatic SARS-CoV-2 carriers were reported in Liangshan, in three family clusters. Among the cases, eight cases had a history of sojourning in Hubei Province (61.54%), of which six were related to Wuhan. Cases aged under 44 years accounted for 61.54%, with no child case. The delay of patients’ hospital visiting, and the low degree of cooperation in epidemiological investigation are problems.ConclusionsDuring the study period, Liangshan was well under control. This was mainly contributed to strict preventive strategies aimed at local culture, inter-sectoral coordination and highly degree of public cooperation. Besides, some possible environmentally and culturally preventive factors (e.g., rapid air flow and family concept) would affect disease prevention and control. In the next step, the health education about COVID-19 should be strengthened and carried out according to the special culture of ethnic minorities to enhance public awareness of timely medical treatment.

Health conditions of migrants landed in north-eastern Sicily and perception of health risks of the resident population

ObjectivesIn Italy, a recent irregular movement of people raised concerns among the host population on possible introduction of diseases that have long been controlled in the host countries. This study evaluates the health conditions of illegal immigrants landed on the north-eastern Sicilian territory, to provide information on the clinical and epidemiologic burden of infectious diseases among migrants and how the local population feel about these landings. Study designThe study design is a cross-sectional study. MethodsThe study considered all migrants landed illegally in the city of Messina, Sicily, between January 2014 and July 2018. Analysing the data of hospital admissions and disease notifications, we calculated the frequency of infectious diseases among migrant population. Furthermore, through a survey conducted by a well-known online newspaper, we analysed the perception that the local population has about the health risk represented by migrants. ResultsIn the considered five-year period, 108 landings, for a total of 38,608 migrants occurred at the Messina port. The percentage of hospitalisation was rather low (3.5%), and it concerned mainly pregnant women. The notifications of infectious diseases were contained, with exception of scabies and tuberculosis. Finally, from the online survey, resulted that there is a large part of local population that considers migrants a potential danger to community health. ConclusionsOur data show that the presence of migrants should not have to date any impact on the health conditions of the resident population. However, monitoring over time the health of migrants and screening for infectious diseases as soon as possible after landing are advantageous for both migrants and host country.

Increase of emm1 isolates among group A Streptococcus strains causing scarlet fever in Shanghai, China

ObjectiveScarlet fever epidemics caused by group A Streptococcus (GAS) have been ongoing in China since 2011. However, limited data are available on the dynamic molecular characterizations of the epidemic strains. MethodEpidemiological data of scarlet fever in Shanghai were obtained from the National Notifiable Infectious Disease Surveillance System. Throat swabs of patients with scarlet fever and asymptomatic school-age children were cultured. Illumina sequencing was performed on 39emm1 isolates. ResultsThe annual incidence of scarlet fever was 7.5–19.4/100,000 persons in Shanghai during 2011–2015, with an average GAS carriage rate being 7.6% in school-age children. The proportion ofemm1 GAS strains increased from 3.8% in 2011 to 48.6% in 2014; they harbored a superantigen profile similar to emm12 isolates, except for the speA gene. Two predominant clones, SH001-emm12, and SH002-emm1, circulated in 66.9% of scarlet fever cases and 44.8% of carriers. Genomic analysis showed emm1 isolates throughout China constituted distinct clades, enriched by the presence of mobile genetic elements carrying the multidrug-resistant determinants ermB and tetM and virulence genes speA, speC, and spd1. ConclusionA significant increase in the proportion ofemm1 strains occurred in the GAS population, causing scarlet fever in China. Ongoing surveillance is warranted to monitor the dynamic changes of GAS clones.

Epidemiological Characteristics of Notifiable Infectious Diseases among Foreign Cases in China, 2004–2017

ObjectiveWe aimed to assess the features of notifiable infectious diseases found commonly in foreign nationals in China between 2004 and 2017 to improve public health policy and responses for infectious diseases. MethodsWe performed a descriptive study of notifiable infectious diseases among foreigners reported from 2004 to 2017 in China using data from the Chinese National Notifiable Infectious Disease Reporting System (NNIDRIS). Demographic, temporal-spatial distribution were described and analyzed. ResultsA total of 67,939 cases of 33 different infectious diseases were reported among foreigners. These diseases were seen in 31 provinces of China and originated from 146 countries of the world. The infectious diseases with the highest incidence number were human immunodeficiency virus (HIV) of 18,713 cases, hepatitis B (6,461 cases), hand, foot, and mouth disease (6,327 cases). Yunnan province had the highest number of notifiable infectious diseases in foreigners. There were different trends of the major infectious diseases among foreign cases seen in China and varied among provinces. ConclusionsThis is the first description of the epidemiological characteristic of notifiable infectious diseases among foreigners in China from 2004 to 2017. These data can be used to better inform policymakers about national health priorities for future research and control strategies.