A field-based modeling study on ecological characterization of hourly host-seeking behavior and its associated climatic variables in Aedes albopictus

Yin, Qingqing; Li, Li; Guo, Xiang; Wu, Rangke; Shi, Benyun; Wang, Yuji; Liu, Yingjie; Wu, Shang; Pan, Yaodong; Wang, Qi; Xie, Tianqi; Tian, Hong; Xia, Dan; Shang, Xianwen; Kambalame, Dzinkambani Moffat; Li, Wanyu; Song, Zhangyao; Zhou, Shu; Deng, Ye; Xie, Yong; Zhou, Xiao‐Nong; Wang, Chunmei; Chen, Xiaoguang; Zhou, Xiaohong

doi:10.1186/s13071-019-3715-1

Cited by 16 publications

(16 citation statements)

References 46 publications

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“…Guangzhou (23°08′N, 113°16′E), the capital city of Guangdong Province, is located in southern China, and it is the fourth most populous city in the entire country [ 30 ]. The average annual temperature in Guangzhou is 22–23 °C, and the average rainfall is 1983 mm [ 31 , 32 ]. Ae.…”

Section: Introductionmentioning

confidence: 99%

Virome in adult Aedes albopictus captured during different seasons in Guangzhou City, China

Chen

Zhang

et al. 2021

Parasites Vectors

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Background The mosquito Aedes albopictus is an important vector for many pathogens. Understanding the virome in Ae. albopictus is critical for assessing the risk of disease transmission, implementation of vector control measures, and health system strengthening. Methods In this study, viral metagenomic and PCR methods were used to reveal the virome in adult Ae. albopictus captured in different areas and during different seasons in Guangzhou, China. Results The viral composition of adult Ae. albopictus varied mainly between seasons. Over 50 viral families were found, which were specific to vertebrates, invertebrates, plants, fungi, bacteria, and protozoa. In rural areas, Siphoviridae (6.5%) was the most common viral family harbored by mosquitoes captured during winter and spring, while Luteoviridae (1.1%) was the most common viral family harbored by mosquitoes captured during summer and autumn. Myoviridae (7.0% and 1.3%) was the most common viral family in mosquitoes captured in urban areas during all seasons. Hepatitis B virus (HBV) was detected by PCR in a female mosquito pool. The first near full-length HBV genome from Ae. albopictus was amplified, which showed a high level of similarity with human HBV genotype B sequences. Human parechovirus (HPeV) was detected in male and female mosquito pools, and the sequences were clustered with HPeV 1 and 3 sequences. Conclusions Large numbers of viral species were found in adult Ae. albopictus, including viruses from vertebrates, insects, and plants. The viral composition in Ae. albopictus mainly varied between seasons. Herein, we are the first to report the detection of HPeV and HBV in mosquitoes. This study not only provides valuable information for the control and prevention of mosquito-borne diseases, but it also demonstrates the feasibility of xenosurveillance. Graphical Abstract

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Section: Introductionmentioning

confidence: 99%

Virome in adult Aedes albopictus captured during different seasons in Guangzhou City, China

Chen

Zhang

et al. 2021

Parasites Vectors

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“…Our entomological survey was conducted at the peak period of Ae. albopictus density [25], which were representative to a certain extent. The results showed that…”

Section: Discussionmentioning

confidence: 95%

“…Yin Q et al suggested that the predicted hourly Ae. albopictus densities generally decreased with wind speed [25]. Endo N et al found that wind direction and speed could influence the malaria vector populations by affecting the effect of CO 2 attraction and enable mosquitoes to identify village location [38].…”

Section: Plos Onementioning

confidence: 99%

Relationships between traditional larval indices and meteorological factors with the adult density of Aedes albopictus captured by BG-mosquito trap

et al. 2020

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Objectives Larval indices have been used for Ae. albopictus surveillance for many years, while there is limited use in assessing dengue transmission risk and adult mosquito emergence. This study is aimed to explore the relationships between larval indices and the Ae. albopictus density captured by BG-mosquito trap (BG-trap) method, with considering the meteorological factors. Methods Data on larval density, adult mosquito density and meteorology factors were collected in an entomological survey carried out in Quzhou City, Zhejiang Province of China in 2018. The Spearman's rank correlation and Pearson correlation were used for the analysis on the correlation of density indices. Generalized additive models were established to analyze the influencing factors of mosquito density.

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“…In reality, the exact values of many transmission-related parameters are very difficult to obtain through field study. For example, to measure the human blood index, the front-line staffs are required to regularly work as baits to count the number of bites by mosquitoes [37]. Even though, there are many other transmission-related parameters that are impossible to directly obtain, such as the mutual transmission efficiency β and the human recovery rate r. By training the data-driven stochastic model based on time series of malaria prevalence data, the transmission-related parameters β and r can be inferred approximately.…”

Section: Discussionmentioning

confidence: 99%

“…For example, existing studies have revealed that daily temperature can influence not only the gonotrophic cycle of mosquitoes [30][31][32], but also the sporogonic cycle of parasites [33]. Moreover, rainfall or humidity can also significantly influence the population size of mosquitoes [34][35][36][37]. Accordingly, to build early warning systems and predict malaria transmission potential, the notions of vectorial capacity (VCAP) and entomological inoculation rate (EIR) have been used to capture the impact of dynamically changing temperature and rainfall on the dynamics of malaria transmission [38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Inference and prediction of malaria transmission dynamics using time series data

et al. 2020

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Background: Disease surveillance systems are essential for effective disease intervention and control by monitoring disease prevalence as time series. To evaluate the severity of an epidemic, statistical methods are widely used to forecast the trend, seasonality, and the possible number of infections of a disease. However, most statistical methods are limited in revealing the underlying dynamics of disease transmission, which may be affected by various impact factors, such as environmental, meteorological, and physiological factors. In this study, we focus on investigating malaria transmission dynamics based on time series data. Methods: A data-driven nonlinear stochastic model is proposed to infer and predict the dynamics of malaria transmission based on the time series of prevalence data. Specifically, the dynamics of malaria transmission is modeled based on the notion of vectorial capacity (VCAP) and entomological inoculation rate (EIR). A particle Markov chain Monte Carlo (PMCMC) method is employed to estimate the model parameters. Accordingly, a one-step-ahead prediction method is proposed to project the number of future malaria infections. Finally, two case studies are carried out on the inference and prediction of Plasmodium vivax transmission in Tengchong and Longling, Yunnan province, China. Results: The results show that the trained data-driven stochastic model can well fit the historical time series of P. vivax prevalence data in both counties from 2007 to 2010. Moreover, with well-trained model parameters, the proposed one-step-ahead prediction method can achieve better performances than that of the seasonal autoregressive integrated moving average model with respect to predicting the number of future malaria infections. Conclusions: By involving dynamically changing impact factors, the proposed data-driven model together with the PMCMC method can successfully (i) depict the dynamics of malaria transmission, and (ii) achieve accurate one-step-ahead prediction about malaria infections. Such a data-driven method has the potential to investigate malaria transmission dynamics in other malaria-endemic countries/regions.

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A field-based modeling study on ecological characterization of hourly host-seeking behavior and its associated climatic variables in Aedes albopictus

Cited by 16 publications

References 46 publications

Virome in adult Aedes albopictus captured during different seasons in Guangzhou City, China

Virome in adult Aedes albopictus captured during different seasons in Guangzhou City, China

Relationships between traditional larval indices and meteorological factors with the adult density of Aedes albopictus captured by BG-mosquito trap

Inference and prediction of malaria transmission dynamics using time series data

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