Title |
Mosquito-Associated Viruses in China
|
---|---|
Published in |
Virologica Sinica, March 2018
|
DOI | 10.1007/s12250-018-0002-9 |
Pubmed ID | |
Authors |
Han Xia, Yujuan Wang, Evans Atoni, Bo Zhang, Zhiming Yuan |
Abstract |
Mosquitoes are classified into approximately 3500 species and further grouped into 41 genera. Epidemiologically, they are considered to be among the most important disease vectors in the world and they can harbor a wide variety of viruses. Several mosquito viruses are considered to be of significant medical importance and can cause serious public health issues throughout the world. Such viruses are Japanese encephalitis virus (JEV), dengue virus (DENV), chikungunya virus (CHIKV), and Zika virus (ZIKV). Others are the newly recognized mosquito viruses such as Banna virus (BAV) and Yunnan orbivirus (YNOV) with unclear medical significance. The remaining mosquito viruses are those that naturally infect mosquitoes but do not appear to infect humans or other vertebrates. With the continuous development and improvement of mosquito and mosquito-associated virus surveillance systems in China, many novel mosquito-associated viruses have been discovered in recent years. This review aims to systematically outline the history, characteristics, distribution, and/or current epidemic status of mosquito-associated viruses in China. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 11% |
Bangladesh | 1 | 11% |
Australia | 1 | 11% |
Switzerland | 1 | 11% |
Unknown | 5 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 89% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 99 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 18% |
Researcher | 13 | 13% |
Student > Ph. D. Student | 10 | 10% |
Student > Bachelor | 9 | 9% |
Student > Postgraduate | 5 | 5% |
Other | 14 | 14% |
Unknown | 30 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 18 | 18% |
Biochemistry, Genetics and Molecular Biology | 18 | 18% |
Immunology and Microbiology | 8 | 8% |
Medicine and Dentistry | 6 | 6% |
Veterinary Science and Veterinary Medicine | 5 | 5% |
Other | 13 | 13% |
Unknown | 31 | 31% |