Cargando…

Assessing the suitability for Aedes albopictus and dengue transmission risk in China with a delay differential equation model

Dengue is considered non-endemic to mainland China. However, travellers frequently import the virus from overseas and local mosquito species can then spread the disease in the population. As a consequence, mainland China still experiences large dengue outbreaks. Temperature plays a key role in these...

Descripción completa

Detalles Bibliográficos
Autores principales: Metelmann, Soeren, Liu, Xiaobo, Lu, Liang, Caminade, Cyril, Liu, Keke, Cao, Lina, Medlock, Jolyon M., Baylis, Matthew, Morse, Andrew P., Liu, Qiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996998/
https://www.ncbi.nlm.nih.gov/pubmed/33770107
http://dx.doi.org/10.1371/journal.pntd.0009153
_version_ 1783670227618234368
author Metelmann, Soeren
Liu, Xiaobo
Lu, Liang
Caminade, Cyril
Liu, Keke
Cao, Lina
Medlock, Jolyon M.
Baylis, Matthew
Morse, Andrew P.
Liu, Qiyong
author_facet Metelmann, Soeren
Liu, Xiaobo
Lu, Liang
Caminade, Cyril
Liu, Keke
Cao, Lina
Medlock, Jolyon M.
Baylis, Matthew
Morse, Andrew P.
Liu, Qiyong
author_sort Metelmann, Soeren
collection PubMed
description Dengue is considered non-endemic to mainland China. However, travellers frequently import the virus from overseas and local mosquito species can then spread the disease in the population. As a consequence, mainland China still experiences large dengue outbreaks. Temperature plays a key role in these outbreaks: it affects the development and survival of the vector and the replication rate of the virus. To better understand its implication in the transmission risk of dengue, we developed a delay differential equation model that explicitly simulates temperature-dependent development periods and tested it with collected field data for the Asian tiger mosquito, Aedes albopictus. The model predicts mosquito occurrence locations with a high accuracy (Cohen’s κ of 0.78) and realistically replicates mosquito population dynamics. Analysing the infection dynamics during the 2014 dengue outbreak that occurred in Guangzhou showed that the outbreak could have lasted for another four weeks if mosquito control interventions had not been undertaken. Finally, we analyse the dengue transmission risk in mainland China. We find that southern China, including Guangzhou, can have more than seven months of dengue transmission per year while even Beijing, in the temperate north, can have dengue transmission during hot summer months. The results demonstrate the importance of using detailed vector and infection ecology, especially when vector-borne disease transmission risk is modelled over a broad range of climatic zones.
format Online
Article
Text
id pubmed-7996998
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-79969982021-04-06 Assessing the suitability for Aedes albopictus and dengue transmission risk in China with a delay differential equation model Metelmann, Soeren Liu, Xiaobo Lu, Liang Caminade, Cyril Liu, Keke Cao, Lina Medlock, Jolyon M. Baylis, Matthew Morse, Andrew P. Liu, Qiyong PLoS Negl Trop Dis Research Article Dengue is considered non-endemic to mainland China. However, travellers frequently import the virus from overseas and local mosquito species can then spread the disease in the population. As a consequence, mainland China still experiences large dengue outbreaks. Temperature plays a key role in these outbreaks: it affects the development and survival of the vector and the replication rate of the virus. To better understand its implication in the transmission risk of dengue, we developed a delay differential equation model that explicitly simulates temperature-dependent development periods and tested it with collected field data for the Asian tiger mosquito, Aedes albopictus. The model predicts mosquito occurrence locations with a high accuracy (Cohen’s κ of 0.78) and realistically replicates mosquito population dynamics. Analysing the infection dynamics during the 2014 dengue outbreak that occurred in Guangzhou showed that the outbreak could have lasted for another four weeks if mosquito control interventions had not been undertaken. Finally, we analyse the dengue transmission risk in mainland China. We find that southern China, including Guangzhou, can have more than seven months of dengue transmission per year while even Beijing, in the temperate north, can have dengue transmission during hot summer months. The results demonstrate the importance of using detailed vector and infection ecology, especially when vector-borne disease transmission risk is modelled over a broad range of climatic zones. Public Library of Science 2021-03-26 /pmc/articles/PMC7996998/ /pubmed/33770107 http://dx.doi.org/10.1371/journal.pntd.0009153 Text en © 2021 Metelmann et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Metelmann, Soeren
Liu, Xiaobo
Lu, Liang
Caminade, Cyril
Liu, Keke
Cao, Lina
Medlock, Jolyon M.
Baylis, Matthew
Morse, Andrew P.
Liu, Qiyong
Assessing the suitability for Aedes albopictus and dengue transmission risk in China with a delay differential equation model
title Assessing the suitability for Aedes albopictus and dengue transmission risk in China with a delay differential equation model
title_full Assessing the suitability for Aedes albopictus and dengue transmission risk in China with a delay differential equation model
title_fullStr Assessing the suitability for Aedes albopictus and dengue transmission risk in China with a delay differential equation model
title_full_unstemmed Assessing the suitability for Aedes albopictus and dengue transmission risk in China with a delay differential equation model
title_short Assessing the suitability for Aedes albopictus and dengue transmission risk in China with a delay differential equation model
title_sort assessing the suitability for aedes albopictus and dengue transmission risk in china with a delay differential equation model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996998/
https://www.ncbi.nlm.nih.gov/pubmed/33770107
http://dx.doi.org/10.1371/journal.pntd.0009153
work_keys_str_mv AT metelmannsoeren assessingthesuitabilityforaedesalbopictusanddenguetransmissionriskinchinawithadelaydifferentialequationmodel
AT liuxiaobo assessingthesuitabilityforaedesalbopictusanddenguetransmissionriskinchinawithadelaydifferentialequationmodel
AT luliang assessingthesuitabilityforaedesalbopictusanddenguetransmissionriskinchinawithadelaydifferentialequationmodel
AT caminadecyril assessingthesuitabilityforaedesalbopictusanddenguetransmissionriskinchinawithadelaydifferentialequationmodel
AT liukeke assessingthesuitabilityforaedesalbopictusanddenguetransmissionriskinchinawithadelaydifferentialequationmodel
AT caolina assessingthesuitabilityforaedesalbopictusanddenguetransmissionriskinchinawithadelaydifferentialequationmodel
AT medlockjolyonm assessingthesuitabilityforaedesalbopictusanddenguetransmissionriskinchinawithadelaydifferentialequationmodel
AT baylismatthew assessingthesuitabilityforaedesalbopictusanddenguetransmissionriskinchinawithadelaydifferentialequationmodel
AT morseandrewp assessingthesuitabilityforaedesalbopictusanddenguetransmissionriskinchinawithadelaydifferentialequationmodel
AT liuqiyong assessingthesuitabilityforaedesalbopictusanddenguetransmissionriskinchinawithadelaydifferentialequationmodel