A mathematical study of dynamical model for Japanese encephalitis-dengue co-infection using JE vaccine

Dwivedi, Ananya; Keval, Ram; Baniya, Vinod

doi:10.1504/ijmmno.2022.126564

Cited by 1 publication

(6 citation statements)

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“…Fifteen of the models aimed to draw general conclusions about JEV transmission dynamics, such as determining equilibrium points or reproductive numbers, and in some cases, conducting stability or sensitivity analyses related to these measures (Baniya and Keval 2021a, 2021c, 2020bDe et al 2016;Diallo et al 2018;Dwivedi, Keval, and Baniya 2022;Ghassabzade and Bagherpoorfard 2021;Ghosh and Tapaswi 1999;Goswami 2022;Kalita andDevi 2020a, 2020b;Mukhopadhyay and Tapaswi 1994;Panja, Mondal, and Chattopadhyay 2016;Tapaswi, Ghosh, and Mukhopadhyay 1995;Wada 1975). Eight models investigated the impact of various factors influencing host and vector species on the risk of JE in humans Keval 2020a, 2021b;Ladreyt, Chevalier, and Durand 2022;Ladreyt et al 2023;Naresh and Pandey 2009;Ndaïrou, Area, and Torres 2020;Sota and Mogi 1989;Zahid and Kribs 2021).…”

Section: Aims Of Modelsmentioning

confidence: 99%

“…Two models simulated co-infection of the human population (JEV with either Leptospira spp. or dengue virus) (Dwivedi, Keval, and Baniya 2022;Zahid and Kribs 2021).…”

Section: Model Structuresmentioning

confidence: 99%

“…Seven models chose to apply prevention and control strategies through direct adjustment of the parameter that the strategy was anticipated to influence. Examples included reducing mosquito population size (insecticides), reducing bite and transmission rates (mosquito nets), reducing the size of the susceptible population (vaccinating the animal-reservoir or human populations), or reducing the growth of vector and animal-reservoir populations (by decreasing human induced "environmental discharges") (Dwivedi, Keval, and Baniya 2022;Ghosh and Tapaswi 1999;Mukhopadhyay and Tapaswi 1994;Naresh and Pandey 2009;Riad et al 2017a;Riad et al 2019;Wada 1975).…”

Section: Prevention and Control Strategiesmentioning

confidence: 99%

“…In contrast, some authors explicitly modeled prevention and control strategies and included a specific parameter in the model to represent the strategy. Eleven models included parameters on the vaccination rate of susceptible humans or treatment rate of JEV infected humans (Baniya and Keval 2021c, 2020b, 2021bDe et al 2016;Dwivedi, Keval, and Baniya 2022;Goswami 2022;Kalita and Devi 2020b;Kharismawati and Fatmawati 2019;Mukhopadhyay and Tapaswi 1994;Panja, Mondal, and Chattopadhyay 2016), nine models included parameters on the vaccination rate of susceptible reservoir-animal populations or treatment of JEV infected reservoir-animal populations Keval 2020b, 2020a;De et al 2016;Goswami 2022;Khan et al 2014;Kharismawati and Fatmawati 2019;Panja, Mondal, and Chattopadhyay 2016;Wada 1975;Zhao et al 2018), and four models included an insecticide control parameter which influenced the total mosquito population (De et al 2016;Goswami 2022;Kharismawati and Fatmawati 2019;Panja, Mondal, and Chattopadhyay 2016). Six models evaluated the effectiveness and cost-effectiveness of various prevention and control strategies to recommend best approaches (Baniya and Keval 2020a;De et al 2016;Goswami 2022;Kharismawati and Fatmawati 2019;Ladreyt, Chevalier, and Durand 2022;Panja, Mondal, and Chattopadhyay 2016).…”

Section: Prevention and Control Strategiesmentioning

confidence: 99%

“…All nine models' sensitivity analyses assessed the influence of input parameters on the basic reproduction number Keval 2020b, 2021b;Diallo et al 2018;Dwivedi, Keval, and Baniya 2022;Goswami 2022;Kalita andDevi 2020a, 2020b;Ladreyt, Chevalier, and Durand 2022;Ladreyt et al 2023). Most models assessed the impact of vector parameters on the basic reproduction number, finding that the vector biting rate, contact rate, death rate, population size, and probability of infection from a competent host were the most influential.…”

Section: Sensitivity Analysesmentioning

confidence: 99%

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Scoping review of Japanese encephalitis virus transmission models

Laidlow,

Johnston,

Zadoks

et al. 2024

Preprint

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Japanese encephalitis virus (JEV) causes approximately 100,000 clinical cases and 25,000 deaths annually worldwide, mainly in South-East Asia and the Western Pacific and mostly in children. JEV is transmitted from competent hosts to humans through the bite of mosquitoes, and the abiotic environment, such as seasonal rainfall, influences transmission. Transmission models have an important role in understanding disease dynamics and developing prevention and control strategies to limit the impact of infectious diseases. Our goal was to investigate how transmission models capture JEV infection dynamics and their role in predicting and controlling infection. This was achieved by identifying published JEV transmission models, describing their features, and identifying their limitations, to guide future modelling. A PRISMA-ScR guided scoping review of peer-reviewed JEV transmission models was conducted. Databases searched included PubMed, ProQuest, Scopus, Web of Science and Google Scholar. Of 881 full text papers available in English, 29 were eligible for data extraction. Publication year ranged from 1975 to 2023. The median number of host populations represented in each model was 3 (range: 1–8; usually humans, mosquitoes and pigs). Most (72% [n=21]) models were deterministic, using ordinary differential equations to describe transmission. Ten models were applied (representing a real JEV transmission setting) and validated with field data, while the remaining 19 models were theoretical. In the applied models, data from only a small proportion of countries in South-East Asia and the Western Pacific were used. Limitations included gaps in knowledge of local JEV epidemiology, vector attributes and the impact of prevention and control strategies, along with a lack of model validation with field data. The lack and limitations of models highlight that further research to understand JEV epidemiology is needed and that there is opportunity to develop and implement applied models to improve control strategies for at-risk populations of animals and humans.

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Section: Aims Of Modelsmentioning

confidence: 99%

“…Two models simulated co-infection of the human population (JEV with either Leptospira spp. or dengue virus) (Dwivedi, Keval, and Baniya 2022;Zahid and Kribs 2021).…”

Section: Model Structuresmentioning

confidence: 99%

Section: Prevention and Control Strategiesmentioning

confidence: 99%

Section: Prevention and Control Strategiesmentioning

confidence: 99%

Section: Sensitivity Analysesmentioning

confidence: 99%

See 3 more Smart Citations

Scoping review of Japanese encephalitis virus transmission models

Laidlow,

Johnston,

Zadoks

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

A mathematical study of dynamical model for Japanese encephalitis-dengue co-infection using JE vaccine

Cited by 1 publication

References 0 publications

Scoping review of Japanese encephalitis virus transmission models

Scoping review of Japanese encephalitis virus transmission models

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