An outbreak of acute respiratory disease caused by a virus associated RNA II gene mutation strain of human adenovirus 7 in China, 2015

Yang, Xiaoxia; Wang, Qiongshu; Liang, Beibei; Wu, Fuli; Li, Hao; Liu, Hongbo; Sheng, Chunyu; Ma, Qiuxia; Yang, Chaojie; Xie, Jing; Li, Peng; Jia, Leili; Wang, Ligui; Du, Xinying; Qiu, Shaofu; Song, Hongbin

doi:10.1371/journal.pone.0172519

Cited by 21 publications

(20 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fatality rates for untreated severe adenovirus-associated pneumonia or disseminated disease may exceed 50% [7]. ADV 7 outbreaks are very common among military trainees in many countries [8][9][10][11][12][13], most likely due to the close living quarters of trainees, the persistence of adenoviruses in the environment when infectious agents from epidemic areas enter the camp, the susceptibility of the general population to some variants [14], and low vaccine coverage [15]. These diseases can spread to create a large-scale outbreak in a very short period of time.…”

Section: Introductionmentioning

confidence: 99%

An artificially simulated outbreak of a respiratory infectious disease

Guo

Tong

et al. 2020

BMC Public Health

View full text Add to dashboard Cite

Background: Outbreaks of respiratory infectious diseases often occur in crowded places. To understand the pattern of spread of an outbreak of a respiratory infectious disease and provide a theoretical basis for targeted implementation of scientific prevention and control, we attempted to establish a stochastic model to simulate an outbreak of a respiratory infectious disease at a military camp. This model fits the general pattern of disease transmission and further enriches theories on the transmission dynamics of infectious diseases. Methods: We established an enclosed system of 500 people exposed to adenovirus type 7 (ADV 7) in a military camp. During the infection period, the patients transmitted the virus randomly to susceptible people. The spread of the epidemic under militarized management mode was simulated using a computer model named "the random collision model", and the effects of factors such as the basic reproductive number (R 0), time of isolation of the patients (TOI), interval between onset and isolation (IOI), and immunization rates (IR) on the developmental trend of the epidemic were quantitatively analysed. Results: Once the R 0 exceeded 1.5, the median attack rate increased sharply; when R 0 = 3, with a delay in the TOI, the attack rate increased gradually and eventually remained stable. When the IOI exceeded 2.3 days, the median attack rate also increased dramatically. When the IR exceeded 0.5, the median attack rate approached zero. The median generation time was 8.26 days, (95% confidence interval [CI]: 7.84-8.69 days). The partial rank correlation coefficients between the attack rate of the epidemic and R 0 , TOI, IOI, and IR were 0.61, 0.17, 0.45, and − 0.27, respectively. Conclusions: The random collision model not only simulates how an epidemic spreads with superior precision but also allows greater flexibility in setting the activities of the exposure population and different types of infectious diseases, which is conducive to furthering exploration of the epidemiological characteristics of epidemic outbreaks.

show abstract

Section: Introductionmentioning

confidence: 99%

An artificially simulated outbreak of a respiratory infectious disease

Guo

Tong

et al. 2020

BMC Public Health

View full text Add to dashboard Cite

show abstract

“…Why most HAdV types have two VA RNA genes is unclear, although it has been speculated that the VA RNAII gene might be the result of a VA RNAI gene duplication [ 28 ]. Interestingly, the VA RNAII gene is prone to accumulate mutations [ 29 , 30 ]. In a recent HAdV-7 outbreak in Wuhan, China, three thymine deletions were found in the VA RNAII transcriptional termination element [ 29 ].…”

Section: Va Rnamentioning

confidence: 99%

“…Interestingly, the VA RNAII gene is prone to accumulate mutations [ 29 , 30 ]. In a recent HAdV-7 outbreak in Wuhan, China, three thymine deletions were found in the VA RNAII transcriptional termination element [ 29 ]. This deletion increased expression of the adjacent virus gene, L1 52/55K, and promoted virus growth, indicating that VA RNAII mutations may associate with severe HAdV-7 infections [ 29 ].…”

Section: Va Rnamentioning

confidence: 99%

Synthesis, Structure, and Function of Human Adenovirus Small Non-Coding RNAs

Punga

Darweesh

Akusjärvi

2020

Viruses

View full text Add to dashboard Cite

Human adenoviruses (HAdVs) are common pathogens causing a variety of respiratory, ocular and gastrointestinal diseases. To accomplish their efficient replication, HAdVs take an advantage of viral small non-coding RNAs (sncRNAs), which have multiple roles during the virus lifecycle. Three of the best-characterized HAdV sncRNAs; VA RNA, mivaRNA and MLP-TSS-sRNA will be discussed in the present review. Even though VA RNA has been extensively characterized during the last 60 years, this multifunctional molecule continues to surprise us as more of its structural secrets unfold. Likely, the recent developments on mivaRNA and MLP-TSS-sRNA synthesis and function highlight the importance of these sncRNA in virus replication. Collectively, we will summarize the old and new knowledge about these three viral sncRNAs with focus on their synthesis, structure and functions.

show abstract

“…Fatality rates for untreated severe adenovirus-associated pneumonia or disseminated disease may exceed 50% [7]. ADV 7 outbreaks are very common among military trainees in many countries [8][9][10][11][12][13]. This commonality is thought to be due to the close living quarters of trainees, persistence of adenoviruses in the environment when infectious agents from epidemic areas enter the camp, susceptibility of the general population to some variants [14], and low vaccine coverage [15].…”

Section: Introductionmentioning

confidence: 99%

An artificially simulated outbreak of a respiratory infectious disease

Guo

Xu²,

Tong

et al. 2019

Preprint

View full text Add to dashboard Cite

Background Outbreaks of respiratory infectious diseases often occur in crowded places. To understand the spreading pattern of an outbreak of a respiratory infectious disease and provide a theoretical basis for targeted implementation of scientific prevention and control, we attempted to establish a stochastic model to simulate an outbreak of a respiratory infectious disease at a military camp. This model fits the general pattern of disease transmission and further enriches theories on the transmission dynamics of infectious diseases.Methods We established an enclosed system of 500 people exposed to adenovirus type 7 (ADV 7) in a military camp. During the infection period, the patients transmitted the virus randomly to susceptible people. The spread of the epidemic under militarized management mode was simulated using a computer model named “the random collision model”, and the effects of factors, such as the basic reproductive number (R0), time of isolation of the patients (TOI), interval between onset and isolation (IOI), and immunization rates (IR), on the developmental trend of the epidemic were quantitatively analysed. Results Once the R0 exceeded 1.5, the median attack rate increased sharply; when R0=3, with a delay in the TOI, the attack rate increased gradually and eventually remained stable. When the IOI exceeded 2.3 days, the median attack rate also increased dramatically. When the IR exceeded 0.5, the median of the attack rate approached zero. The median generation time was 8.26 days, (95% confidence interval [CI]: 7.84-8.69 days). The partial rank correlation coefficients between the attack rate of the epidemic and the R0, TOI, IOI, and IR were 0.61, 0.17, 0.45, and -0.27, respectively. Conclusions The random collision model not only simulates how an epidemic spreads with superior precision but also allows more flexibility in setting the activities of the exposure population and different types of infectious diseases, which is conducive to furthering exploration of the epidemiological characteristics of epidemic outbreaks.

show abstract

An outbreak of acute respiratory disease caused by a virus associated RNA II gene mutation strain of human adenovirus 7 in China, 2015

Cited by 21 publications

References 31 publications

An artificially simulated outbreak of a respiratory infectious disease

An artificially simulated outbreak of a respiratory infectious disease

Synthesis, Structure, and Function of Human Adenovirus Small Non-Coding RNAs

An artificially simulated outbreak of a respiratory infectious disease

Contact Info

Product

Resources

About