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Featured researches published by Haojie Zhong.


PLOS ONE | 2013

Using Google Trends for Influenza Surveillance in South China

Min Kang; Haojie Zhong; Jianfeng He; Shannon Rutherford; Fen Yang

Background Google Flu Trends was developed to estimate influenza activity in many countries; however there is currently no Google Flu Trends or other Internet search data used for influenza surveillance in China. Methods and Findings Influenza surveillance data from 2008 through 2011 were obtained from provincial CDC influenza-like illness and virological surveillance systems of Guangdong, a province in south China. Internet search data were downloaded from the website of Google Trends. Pearsons correlation coefficients with 95% confidence intervals (95% CI) were calculated to compare surveillance data and internet search trends. The correlation between CDC ILI surveillance and CDC virus surveillance was 0.56 (95% CI: 0.43, 0.66). The strongest correlation was between the Google Trends term of Fever and ILI surveillance with a correlation coefficient of 0.73 (95% CI: 0.66, 0.79). When compared with influenza virological surveillance, the Google Trends term of Influenza A had the strongest correlation with a correlation coefficient of 0.64 (95% CI: 0.43, 0.79) in the 2009 H1N1 influenza pandemic period. Conclusions This study shows that Google Trends in Chinese can be used as a complementary source of data for influenza surveillance in south China. More research in the future should develop new models using search trends in Chinese language to estimate local disease activity and detect early signals of outbreaks.


Emerging Infectious Diseases | 2014

Poultry Market Closures and Human Infection with Influenza A(H7N9) Virus, China, 2013–14

Peng Wu; Hui Jiang; Joseph T. Wu; Enfu Chen; Jianfeng He; Hang Zhou; Lan Wei; Juan Yang; Bingyi Yang; Ying Qin; Vicky J. Fang; Ming Li; Tim K. Tsang; Jiandong Zheng; Eric H. Y. Lau; Yu Cao; Chengliang Chai; Haojie Zhong; Zhongjie Li; Gabriel M. Leung; Luzhao Feng; George F. Gao; Benjamin J. Cowling; Hongjie Yu

Closure of live poultry markets was implemented in areas affected by the influenza virus A(H7N9) outbreak in China during winter, 2013–14. Our analysis showed that closing live poultry markets in the most affected cities of Guangdong and Zhejiang provinces was highly effective in reducing the risk for H7N9 infection in humans.


Journal of Virology | 2014

Continuing Reassortment Leads to the Genetic Diversity of Influenza Virus H7N9 in Guangdong, China

Jing Lu; Jie Wu; Xianqiao Zeng; Dawei Guan; Lirong Zou; Lina Yi; Lijun Liang; Hanzhong Ni; Min Kang; Xin Zhang; Haojie Zhong; Xiang He; Corina Monagin; Jinyan Lin; Changwen Ke

ABSTRACT On 30 March 2013, a novel avian influenza A H7N9 virus causing severe human respiratory infections was identified in China. Preliminary sequence analyses have shown that the virus is a reassortant of H7N9 and H9N2 avian influenza viruses. In this study, we conducted enhanced surveillance for H7N9 virus in Guangdong, China, from April to August 2013. We isolated two H7N9 viral strains from environmental samples associated with poultry markets and one from a clinical patient. Sequence analyses showed that the Guangdong H7N9 virus isolated from April to May shared high sequence similarity with other strains from eastern China. The A/Guangdong/1/2013 (H7N9) virus isolated from the Guangdong patient on 10 August 2013 was divergent from previously sequenced H7N9 viruses and more closely related to local circulating H9N2 viruses in the NS and NP genes. Phylogenetic analyses revealed that four internal genes of the A/Guangdong/1/2013 (H7N9) virus—the NS, NP, PB1, and PB2 genes—were in clusters different from those for H7N9 viruses identified previously in other provinces of China. The discovery presented here suggests that continuing reassortment led to the emergence of the A/Guangdong/1/2013 (H7N9) virus as a novel H7N9 virus in Guangdong, China, and that viral adaptation to avian and human hosts must be assessed. IMPORTANCE In this study, we isolated and characterized the avian influenza A H7N9 virus in Guangdong, China, from April to August 2013. We show that the viruses isolated from Guangdong environmental samples and chickens from April to May 2013 were highly similar to other H7N9 strains found in eastern China. The H7N9 virus isolated from the clinical patient in Guangdong in August 2013 was divergent from previously identified H7N9 viruses, with the NS and NP genes originating from recent H9N2 viruses circulating in the province. This study provides direct evidence that continuing reassortment occurred and led to the emergence of a novel H7N9 influenza virus in Guangdong, China. These results also shed light on how the H7N9 virus evolved, which is critically important for future monitoring and tracing of viral transmission.


Emerging Infectious Diseases | 2012

Chikungunya outbreak in Guangdong Province, China, 2010.

De Wu; Jie Wu; Qiaoli Zhang; Haojie Zhong; Changwen Ke; Xiaoling Deng; Dawei Guan; Hui Li; Yonghui Zhang; Huiqiong Zhou; Jianfeng He; Linghui Li; Xingfen Yang

A disease outbreak with dengue-like symptoms was reported in Guangdong Province, China, in October 2010. Testing results confirmed that the pathogen causing the outbreak was chikungunya virus. Phylogenic analysis indicated that this virus was a member of the Indian Ocean clade of the East/Center/South African subgroup of chikungunya virus.


Emerging Infectious Diseases | 2014

Circulation of Reassortant Influenza A(H7N9) Viruses in Poultry and Humans, Guangdong Province, China, 2013

Changwen Ke; Jing Lu; Jie Wu; Dawei Guan; Lirong Zou; Tie Song; Lina Yi; Xianqiao Zeng; Lijun Liang; Hanzhong Ni; Min Kang; Xin Zhang; Haojie Zhong; Jianfeng He; Jinyan Lin; Derek J. Smith; David F. Burke; Ron A. M. Fouchier; Marion Koopmans; Yonghui Zhang

Influenza A(H7N9) virus emerged in eastern China in February 2013 and continues to circulate in this region, but its ecology is poorly understood. In April 2013, the Guangdong Provincial Center for Disease Control and Prevention (CDC) implemented environmental and human syndromic surveillance for the virus. Environmental samples from poultry markets in 21 city CDCs (n = 8,942) and respiratory samples from persons with influenza-like illness or pneumonia (n = 32,342) were tested; viruses isolated from 6 environmental samples and 16 patients were sequenced. Sequence analysis showed co-circulation of 4 influenza A(H7N9) virus strains that evolved by reassortment with avian influenza A(H9N2) viruses circulating in this region. In addition, an increase in human cases starting in late 2013 coincided with an increase in influenza A H7 virus isolates detected by environmental surveillance. Co-circulation of multiple avian influenza viruses that can infect humans highlights the need for increased surveillance of poultry and potential environmental sources.


JAMA Ophthalmology | 2016

Presence of Zika Virus in Conjunctival Fluid.

Jiufeng Sun; De Wu; Haojie Zhong; Dawei Guan; Huan Zhang; Qiqi Tan; Changwen Ke

Presence of Zika Virus in Conjunctival Fluid Zika virus (ZIKV) is a mosquito-borne flavivirus isolated from the Zika forest of Uganda in 1947.1 The clinical symptoms of ZIKV infection are mostly a mild and self-limited rash, arthralgia, and conjunctivitis in humans. More than 80% of ZIKV infections are asymptomatic. The ZIKV outbreaks in Brazil and French Polynesia indicate that the virus is linked to microcephaly and Guillain-Barré syndrome.2,3 Meanwhile, severe eye damage in infants with microcephaly was associated with ZIKV infection.4 However, it is still unclear whether the eye lesions are the result of microcephaly or directly ZIKV infection.5 Therefore, we wondered whether ZIKV could be detected in conjunctival fluid. In this report, we describe the detection of ZIKV from conjunctival swab samples of laboratory-confirmed ZIKV cases.


PLOS ONE | 2015

Environmental Sampling for Avian Influenza A(H7N9) in Live-Poultry Markets in Guangdong, China

Min Kang; Jianfeng He; Tie Song; Shannon Rutherford; Jie Wu; Jinyan Lin; Guofeng Huang; Xiaohua Tan; Haojie Zhong

Background To provide an increased understanding of avian influenza A(H7N9) activity in live-poultry market in space and time and hence improve H7N9 epidemic control, an ongoing environmental sampling program in multiple live-poultry markets across Guangdong, China was conducted during March 2013–June 2014. Methods A total of 625 live-poultry markets throughout 21 prefecture areas took part in the study. A total of 10 environmental sites in markets for sampling were identified to represent 4 different poultry-related activity areas. At least 10 environmental samples were collected from each market every month. The real time RT-PCR was performed to detect the avian influenza A(H7N9) virus. Field survey was conducted to investigate the sanitation status of live-poultry markets. Results There were 109 human infections with H7N9 avian influenza in Guangdong, of which 37 (34%) died. A total of 18741 environmental swabs were collected and subjected to real-time RT-PCR test, of which 905(4.83%) were found positive for H7N9 virus. There were 201 (32.16%) markets affected by H7N9 in 16 prefecture areas. The detection of H7N9 virus in markets spiked in winter months. 63.33% markets (38/60) had no physical segregation for poultry holding, slaughter or sale zones. Closing live-poultry market significantly decreased the H7N9 detection rate from 14.83% (112/755) to 1.67% (5/300). Conclusions This study indicates the importance of live-poultry market surveillance based on environmental sampling for H7N9 Avian Influenza control. Improving live-poultry market management and sanitation and changing consumer practices are critical to reduce the risk of H7N9 infection.


PLOS ONE | 2014

The prevalence and endemic nature of dengue infections in Guangdong, South China: an epidemiological, serological, and etiological study from 2005-2011.

Ru-ning Guo; Jinyan Lin; Lin-hui Li; Changwen Ke; Jianfeng He; Haojie Zhong; Huiqiong Zhou; Zhiqiang Peng; Fen Yang; Wenjia Liang

Objectives Frequent outbreaks of dengue are considered to be associated with an increased risk for endemicity of the disease. The occurrence of a large number of indigenous dengue cases in consecutive years indicates the possibility of a changing dengue epidemic pattern in Guangdong, China. Methods To have a clear understanding of the current dengue epidemic, a retrospective study of epidemiological profile, serological response, and virological features of dengue infections from 2005–2011 was conducted. Case data were collected from the National Notifiable Infectious Diseases Reporting Network. Serum samples were collected and prepared for serological verification and etiological confirmation. Incidence, temporal and spatial distribution, and the clinical manifestation of dengue infections were analyzed. Pearsons Chi-Square test was used to compare incidences between different age groups. A seroprevalence survey was implemented in local healthy inhabitants to obtain the overall positive rate for the specific immunoglobulin (Ig) G antibody against dengue virus (DENV). Results The overall annual incidence rate was 1.87/100000. A significant difference was found in age-specific incidence (Pearsons Chi-Square value 498.008, P<0.001). Children under 5 years of age had the lowest incidence of 0.28/100000. The vast majority of cases presented with a mild manifestation typical to dengue fever. The overall seroprevalence of dengue IgG antibody in local populations was 2.43% (range 0.28%–5.42%). DENV-1 was the predominant serotype in circulation through the years, while all 4 serotypes were identified in indigenous patients from different outbreak localities since 2009. Conclusions A gradual change in the epidemic pattern of dengue infection has been observed in recent years in Guangdong. With the endemic nature of dengue infections, the transition from a monotypic to a multitypic circulation of dengue virus in the last several years will have an important bearing on the prevention and control of dengue in the province and in the neighboring districts.


Journal of Clinical Microbiology | 2015

Family clusters of avian influenza A H7N9 virus infection in Guangdong Province, China.

Lina Yi; Dawei Guan; Min Kang; Jie Wu; Xianqiao Zeng; Jing Lu; Shannon Rutherford; Lirong Zou; Lijun Liang; Hanzhong Ni; Xin Zhang; Haojie Zhong; Jianfeng He; Jinyan Lin; Changwen Ke

ABSTRACT Since its first identification, the epizootic avian influenza A H7N9 virus has continued to cause infections in China. Two waves were observed during this outbreak. No cases were reported from Guangdong Province during the first wave, but this province became one of the prime outbreak sites during the second wave. In order to identify the transmission potential of this continuously evolving infectious virus, our research group monitored all clusters of H7N9 infections during the second wave of the epidemic in Guangdong Province. Epidemiological, clinical, and virological data on these patients were collected and analyzed. Three family clusters including six cases of H7N9 infection were recorded. The virus caused severe disease in two adult patients but only mild symptoms for all four pediatric patients. All patients reported direct poultry or poultry market exposure history. Relevant environment samples collected according to their reported exposures tested H7N9 positive. Virus isolates from patients in the same cluster shared high sequence similarities. In conclusion, although continually evolving, the currently circulating H7N9 viruses in Guangdong Province have not yet demonstrated the capacity for efficient and sustained person-to-person transmission.


Virology Journal | 2013

Chikungunya virus with E1-A226V mutation causing two outbreaks in 2010, Guangdong, China

De Wu; Yonghui Zhang; Qiong ZhouHui; Jing Kou; Wenjia Liang; Huan Zhang; Corina Monagin; Qiaoli Zhang; Wenjie Li; Haojie Zhong; Jianfeng He; Hui Li; Songwu Cai; Changwen Ke; Jinyan Lin

BackgroundCHIKV is a mosquito-borne emerging pathogen that has a major health impact in humans in tropical zones around the globe. A new variant of the virus, E1-A226V caused a large outbreak in the Indian Ocean islands and India from 2004–2007. CHIKV outbreak was initially reported in Dongguan region of Guangdong in 2010 in China, another smaller CHIKV outbreak was found in Yangjiang region of Guangdong two weeks later. The viral agent causing the two outbreaks was inferred to be the new E1-A226V variant and Yangjiang CHIKV might be introduced from Dongguan. To confirm the hypothesis and determine the origin of CHIKV causing the outbreaks, we described Yangjiang outbreak in this study, and the molecular characterization of CHIKV from Yangjiang and Dongguang outbreaks were analyzed.Results27 clinical cases of CHIK fever were reported in outbreak in Yangjiang region. Sera sample from 12 clinical cases were collected from the outbreak, and nucleic acid and antibody tests for CHIKV were performed using Real-time RT-PCR and indirect immunofluorescence. Positive samples of Real-time RT-PCR were subjected to viral isolation. The results showed 3/12 samples positive for Real-time RT-PCR. 7/12 and 4/12 samples were positive for IgM and IgG against CHIKV respectively, two virus strains were isolated. Four viral genomes from Dongguan and Yangjiang were sequenced, characterized and phylogeneticly analyzed. Phylogenetic analysis revealed that the four seqeunced viruses had the closest relationship (99.4~99.6% identify) with the Singapore 2008 isolate belonging to the Indian ocean clade. A common mutation at the site of the E1-A226V was observed among four viruses. Four and three aa substitutions were detected in the CHIKV sequence from the Dongguan and Yangjiang outbreak strains respectively.ConclusionCHIKV with an E1-A226V mutation that originated from Southeast Asia isolates caused two outbreaks in China in 2010, and originated from two different infectious sources.

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Jianfeng He

Centers for Disease Control and Prevention

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Jinyan Lin

Centers for Disease Control and Prevention

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Changwen Ke

Centers for Disease Control and Prevention

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Jie Wu

Centers for Disease Control and Prevention

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Tie Song

Centers for Disease Control and Prevention

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Min Kang

Centers for Disease Control and Prevention

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Xin Zhang

Centers for Disease Control and Prevention

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Dawei Guan

Centers for Disease Control and Prevention

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Hanzhong Ni

Centers for Disease Control and Prevention

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Lijun Liang

Centers for Disease Control and Prevention

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