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1.
Vaccines (Basel) ; 11(9)2023 Aug 31.
Article in English | MEDLINE | ID: mdl-37766116

ABSTRACT

Influenza is a major cause of morbidity and mortality. The protective effect of a trivalent influenza vaccine (TIV) is undetermined in military personnel. We conducted an open-label, cluster randomized trial on active-duty servicemen of Beijing, Tianjin, and Shijiazhuang, who were randomly assigned to receive either a single dose of TIV or no treatment, according to cluster randomized sampling. The subjects were then followed for a maximum of six months to assess the incidence of laboratory-confirmed influenza. A total of 5445 subjects in 114 clusters received one dose of TIV before the 2015/2016 influenza season. Laboratory-confirmed influenza was identified in 18 in the vaccine group compared with 87 in the control group (6031 subjects in 114 clusters), resulting in a vaccine effectiveness (VE) of 76.4% (95%CI: 60.7 to 85.8) against laboratory-confirmed influenza. Influenza-like illness was diagnosed in 132 in the vaccine group compared with 420 in the control group, resulting in a VE of 64.1% (95%CI: 56.2 to 70.6). The estimated VE against influenza B viruses was 80.5% (95%CI: 65.6 to 88.9) and 8.6% (95%CI: -241 to 75.5) against influenza A viruses. In conclusion, the trivalent influenza vaccine is moderately effective, highly immunogenic, and generally safe to use in healthy male military servicemen.

2.
Proc Natl Acad Sci U S A ; 115(18): 4707-4712, 2018 05 01.
Article in English | MEDLINE | ID: mdl-29666240

ABSTRACT

Urbanization and rural-urban migration are two factors driving global patterns of disease and mortality. There is significant concern about their potential impact on disease burden and the effectiveness of current control approaches. Few attempts have been made to increase our understanding of the relationship between urbanization and disease dynamics, although it is generally believed that urban living has contributed to reductions in communicable disease burden in industrialized countries. To investigate this relationship, we carried out spatiotemporal analyses using a 48-year-long dataset of hemorrhagic fever with renal syndrome incidence (HFRS; mainly caused by two serotypes of hantavirus in China: Hantaan virus and Seoul virus) and population movements in an important endemic area of south China during the period 1963-2010. Our findings indicate that epidemics coincide with urbanization, geographic expansion, and migrant movement over time. We found a biphasic inverted U-shaped relationship between HFRS incidence and urbanization, with various endemic turning points associated with economic growth rates in cities. Our results revealed the interrelatedness of urbanization, migration, and hantavirus epidemiology, potentially explaining why urbanizing cities with high economic growth exhibit extended epidemics. Our results also highlight contrasting effects of urbanization on zoonotic disease outbreaks during periods of economic development in China.


Subject(s)
Databases, Factual , Hantavirus Infections/epidemiology , Human Migration , Orthohantavirus , Urban Renewal , Zoonoses/epidemiology , Animals , China , Female , Humans , Incidence , Male , Zoonoses/virology
3.
BMC Infect Dis ; 18(1): 37, 2018 01 12.
Article in English | MEDLINE | ID: mdl-29329512

ABSTRACT

BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by hantaviruses. Landscape can influence the risk of hantavirus infection for humans, mainly through its effect on rodent community composition and distribution. It is important to understand how landscapes influence population dynamics for different rodent species and the subsequent effect on HFRS risk. METHODS: To determine how rodent community composition influenced human hantavirus infection, we monitored rodent communities in the prefecture-level cities of Loudi and Shaoyang, China, from 2006 to 2013. Land use data were extracted from satellite images and rodent community diversity was analyzed in 45 trapping sites, in different environments. Potential contact matrices, determining how rodent community composition influence HFRS infection among different land use types, were estimated based on rodent community composition and environment type for geo-located HFRS cases. RESULTS: Apodemus agrarius and Rattus norvegicus were the predominant species in Loudi and Shaoyang, respectively. The major risk of HFRS infection was concentrated in areas with cultivated land and was associated with A. agrarius, R. norvegicus, and Rattus flavipectus. In urban areas in Shaoyang, Mus musculus was related to risk of hantavirus infection. CONCLUSIONS: Landscape features and rodent community dynamics may affect the risk of human hantavirus infection. Results of this study may be useful for the development of HFRS prevention initiatives that are customized for regions with different geographical environments.


Subject(s)
Hemorrhagic Fever with Renal Syndrome/etiology , Rodentia , Agriculture , Animals , China/epidemiology , Cities , Disease Reservoirs , Ecosystem , Environmental Monitoring/methods , Hantavirus Infections/epidemiology , Hemorrhagic Fever with Renal Syndrome/epidemiology , Humans , Mice , Rats , Risk Factors , Rural Population , Urban Population
4.
Mil Med Res ; 4(1): 35, 2017 11 20.
Article in English | MEDLINE | ID: mdl-29502518

ABSTRACT

BACKGROUND: Influenza is an acute respiratory infectious disease with a high incidence rate in the Chinese army, which directly disturbs military training and affects soldiers' health. Influenza surveillance systems are widely used around the world and play an important role in influenza epidemic prevention and control. METHODS: As a theater centers for disease prevention and control, we established an influenza monitoring platform (IMP) in 2014 to strengthen the monitoring of influenza-like illness and influenza virus infection. In this study, we introduced the constitution, influenza virus detection, and quality control for an IMP. The monitoring effect was also evaluated by comparing the monitoring data with data from national influenza surveillance systems. The experiences and problems associated with the platform also were summarized. RESULTS: A theater IMP was established based on 3 levels of medical units, including monitoring sites, testing laboratories and a checking laboratory. A series of measures were taken to guarantee the quality of monitoring, such as technical training, a unified process, sufficient supervision and timely communication. The platform has run smoothly for 3 monitoring years to date. In the 2014-2015 and 2016-2017 monitoring years, sample amount coincided with that obtained from the National Influenza Surveillance program. In the 2015-2016 monitoring year, due to the strict prevention and control measures, an influenza epidemic peak was avoided in monitoring units, and the monitoring data did not coincide with that of the National Influenza Surveillance program. Several problems, including insufficient attention, unreasonable administrative intervention or subordination relationships, and the necessity of detection in monitoring sites were still observed. CONCLUSIONS: A theater IMP was established rationally and played a deserved role in the prevention and control of influenza. However, several problems remain to be solved.


Subject(s)
Influenza, Human/diagnosis , Population Surveillance/methods , Warfare , China/epidemiology , Humans , Influenza, Human/epidemiology , Military Personnel/statistics & numerical data , Primary Prevention/instrumentation , Primary Prevention/methods
5.
Hum Vaccin Immunother ; 12(10): 2634-2639, 2016 10 02.
Article in English | MEDLINE | ID: mdl-27348250

ABSTRACT

Influenza, caused by the influenza virus, is a contagious acute viral respiratory disease with a high incidence rate and wide and rapid spread. Influenza-related morbidity, mortality, and hospitalization rates remain high and are increasing continuously in high-risk groups, with a significant impact on human health and the economy. In order to evaluate the immunogenicity of 3 seasonal trivalent influenza vaccines in Chinese military, we conducted this field trial. We assessed the safety and immunogenicity of 3 seasonal trivalent influenza vaccines(TIVs)manufactured by GlaxoSmithKline(GSK), Beijing Sinovac Biotech (Sinovac), and Shenzhen Sanofi Pasteur (Pasteur) in healthy Chinese servicemen. We used theimported GSKTIV as the control, comparing it with the 2 domestic TIVs in a 1:1:1randomized, double-blind, controlled trial in a military command in Beijing. Healthy individuals, aged between 18 and 34 years, who had not received any influenza vaccine in the preceding3 years were enrolled and administered one dose of a TIV. Safety data were collected throughout the whole study (day 0 to day 30). Blood samples were collected to assess the subjects' immunogenicity before vaccination and 21 d after vaccination. In total, 292 subjects enrolled in the study. Twelve participants (4.1%) reported 12 adverse events. The incidence of adverse events was 1%, 5%, and7% for the GSK, Sinovac, and Pasteur TIVs, respectively. The reported injection-site reaction frequencies were similar for all 3 TIVs (p = 0.217). However, the proportion of systemic reactions was higher after the GSKTIV than after the Pasteur or Sinovac TIV (7.1% vs 3.1% or1%, respectively; p = 0.020). Three TIVs satisfied both the European and US Food and Drug Administration criteria for H1N1-179, H1N1-74, H3N2, and B strains based on the post vaccination sero-protection, the sero-conversion rate, and the geometric mean titer ratio. The Sinovac TIV, Pasteur TIV, and GSK TIV were well tolerated and immunogenic in healthy servicemen in the military. There was no significant difference in the immunogenicity of these 3 vaccines.


Subject(s)
Influenza Vaccines/adverse effects , Influenza Vaccines/immunology , Influenza, Human/prevention & control , Military Personnel , Adolescent , Adult , Antibodies, Viral/blood , China , Double-Blind Method , Drug-Related Side Effects and Adverse Reactions/epidemiology , Drug-Related Side Effects and Adverse Reactions/pathology , Female , Healthy Volunteers , Humans , Incidence , Influenza A Virus, H1N1 Subtype/immunology , Influenza A Virus, H3N2 Subtype/immunology , Influenza B virus/immunology , Influenza Vaccines/administration & dosage , Male , Young Adult
6.
PLoS One ; 9(9): e106839, 2014.
Article in English | MEDLINE | ID: mdl-25184252

ABSTRACT

BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS), a rodent-borne infectious disease, is one of the most serious public health threats in China. Increasing our understanding of the spatial and temporal patterns of HFRS infections could guide local prevention and control strategies. METHODOLOGY/PRINCIPAL FINDINGS: We employed statistical models to analyze HFRS case data together with environmental data from the Dongting Lake district during 2005-2010. Specifically, time-specific ecologic niche models (ENMs) were used to quantify and identify risk factors associated with HFRS transmission as well as forecast seasonal variation in risk across geographic areas. Results showed that the Maximum Entropy model provided the best predictive ability (AUC = 0.755). Time-specific Maximum Entropy models showed that the potential risk areas of HFRS significantly varied across seasons. High-risk areas were mainly found in the southeastern and southwestern areas of the Dongting Lake district. Our findings based on models focused on the spring and winter seasons showed particularly good performance. The potential risk areas were smaller in March, May and August compared with those identified for June, July and October to December. Both normalized difference vegetation index (NDVI) and land use types were found to be the dominant risk factors. CONCLUSIONS/SIGNIFICANCE: Our findings indicate that time-specific ENMs provide a useful tool to forecast the spatial and temporal risk of HFRS.


Subject(s)
Hemorrhagic Fever with Renal Syndrome/epidemiology , Lakes , Seasons , China/epidemiology , Female , Humans , Male , Models, Biological
7.
PLoS Negl Trop Dis ; 8(1): e2615, 2014.
Article in English | MEDLINE | ID: mdl-24421910

ABSTRACT

BACKGROUND: China has the highest incidence of hemorrhagic fever with renal syndrome (HFRS) worldwide. Reported cases account for 90% of the total number of global cases. By 2010, approximately 1.4 million HFRS cases had been reported in China. This study aimed to explore the effect of the rodent reservoir, and natural and socioeconomic variables, on the transmission pattern of HFRS. METHODOLOGY/PRINCIPAL FINDINGS: Data on monthly HFRS cases were collected from 2006 to 2010. Dynamic rodent monitoring data, normalized difference vegetation index (NDVI) data, climate data, and socioeconomic data were also obtained. Principal component analysis was performed, and the time-lag relationships between the extracted principal components and HFRS cases were analyzed. Polynomial distributed lag (PDL) models were used to fit and forecast HFRS transmission. Four principal components were extracted. Component 1 (F1) represented rodent density, the NDVI, and monthly average temperature. Component 2 (F2) represented monthly average rainfall and monthly average relative humidity. Component 3 (F3) represented rodent density and monthly average relative humidity. The last component (F4) represented gross domestic product and the urbanization rate. F2, F3, and F4 were significantly correlated, with the monthly HFRS incidence with lags of 4 months (r = -0.289, P<0.05), 5 months (r = -0.523, P<0.001), and 0 months (r = -0.376, P<0.01), respectively. F1 was correlated with the monthly HFRS incidence, with a lag of 4 months (r = 0.179, P = 0.192). Multivariate PDL modeling revealed that the four principal components were significantly associated with the transmission of HFRS. CONCLUSIONS: The monthly trend in HFRS cases was significantly associated with the local rodent reservoir, climatic factors, the NDVI, and socioeconomic conditions present during the previous months. The findings of this study may facilitate the development of early warning systems for the control and prevention of HFRS and similar diseases.


Subject(s)
Disease Reservoirs , Hemorrhagic Fever with Renal Syndrome/epidemiology , Hemorrhagic Fever with Renal Syndrome/transmission , Rodentia/growth & development , Animals , China/epidemiology , Climate , Humans , Incidence , Population Density , Risk Factors , Socioeconomic Factors
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