Mark-Release-Recapture (MRR) Study to Determine the Dispersal of Aedes aegypti and Aedes albopictus in Dehradun City, Uttarakhand

2017 ◽  
Vol 49 (3) ◽  
pp. 42-48 ◽  
Author(s):  
Dr. N. Pemola Devi ◽  
Keyword(s):  
Aedes Aegypti ◽  
Aedes Albopictus ◽  
Mark Release Recapture

Distribution of Aedes aegypti and Aedes albopictus in different eco zones of Thiruvananthapuram city with special reference to dengue viremia in humans

ENTOMON ◽  
2018 ◽  
Vol 43 (4) ◽  
pp. 223-230
Author(s):  
S. Sunil Kumar ◽  
D.A. Evans ◽  
K. Muthulakshmi ◽  
T. DilipKumar ◽  
R. Heera Pillai ◽  
...  
Keyword(s):  
Aedes Aegypti ◽  
Aedes Albopictus ◽  
Dengue Shock Syndrome ◽  
Single Step ◽  
Equal Distribution ◽  
Distribution Study ◽  
Urban Zone ◽  
High Prevalence ◽  
Vector Management ◽  
Efficient Vector

Mosquito index study of three ecologically different ecozones of the Thiruvananthapuram district, Kerala showed sharp difference on the proportionate distribution of Aedes aegypti and Aedes albopictus. Human dengue viremia (HDV) was very high in those ecozones where A.aegypti density was high and HDV was low where A.albopictus was high. In a coastal zone of Thiruvananthapuram city, A. aegypti was the most abundant vector and in a hilly, arid suburban zone, A.albopictus was the abundant vector. In the urban zone both species of mosquitoes showed equal distribution. Study on the circulating serotypes in the serum of HDV by Single step single tube Multiplex PCR showed all the four serotypes viz DENV1, DENV2, DENV3 and DENV4 in patients of Thiruvananthapuram city, which indicated the possibility of Dengue Shock Syndrome, unless there is efficient vector management. Among the four dengue serotypes, Type 1 was the most abundant virus. Abundance of microhabitats in Thiruvananthapuram city, which support A. aegypti may be the reason for high prevalence of dengue fever in the urban zone.

A Simple PCR Assay for Discrimination of Dengue Vectors from Nsukka LGA, Nigeria

2020 ◽  
Vol 10 (1) ◽  
pp. 67-77
Author(s):  
Amos Watentena ◽  
Ikem Chris Okoye ◽  
Ikechukwu Eugene Onah ◽  
Onwude Cosmas Ogbonnaya ◽  
Emmanuel Ogudu
Keyword(s):  
Aedes Aegypti ◽  
Aedes Albopictus ◽  
Mosquito Species ◽  
Public Health Problem ◽  
Major Public Health Problem ◽  
Mosquito Vector ◽  
Aedes Mosquitoes ◽  
Allele Specific ◽  
Arboviral Diseases ◽  
Dengue Vectors

Mosquitoes of Aedes species are vectors of several arboviral diseases which continue to be a major public health problem in Nigeria. This study among other things, morphologically identified Aedes mosquitoes collected from Nsukka LGA and used an allele specific PCR amplification for discrimination of dengue vectors. Larval sampling, BG-sentinel traps and modified human landing catches were used for mosquito sampling in two selected autonomous communities of Nsukka LGA (Nsukka and Obimo). A total of 124 Aedes mosquitoes consisting of five (5) different species were collected from April to June, 2019 in a cross-sectional study that covered 126 households, under 76 distinct geographical coordinates. Larvae was mainly collected from plastic containers 73% (n=224), metallic containers 14% (n=43), earthen pots 9% (n=29) and used car tyres 3% (n=9), reared to adult stage 69.35% (n=86), and all mosquitoes were identified using standard morphological keys. Five (5) Aedes mosquito species were captured; Aedes aegypti 83(66.94%), Aedes albopictus 33(26.61%), Aedes simpsoni (4.48%), Aedes luteocephalus (≤1%) and Aedes vittatus (≤1%). Nsukka autonomous community had higher species diversity than Obimo. Allele specific amplification confirmed dengue vectors, Aedes aegypti and Aedes albopictus species on a 2% agarose gel. Since the most recent re-emergence of arboviral diseases is closely associated with Aedes species, findings of this study, therefore, give further evidence about the presence of potential arboviral vectors in Nigeria and describe the role of a simple PCR in discriminating some. Further entomological studies should integrate PCR assays in mosquito vector surveillance.

RELAÇÃO DE CAUSALIDADE ENTRE A FEBRE DA ZIKA E MICROCEFALIA NO BRASIL: REVISÃO INTEGRATIVA

2020 ◽  
Vol 42 (3) ◽  
Author(s):  
André Emanuel Dantas Mercês ◽  
Angela de Souza Cajuhi ◽  
Lorena Conceição Souza dos Santos ◽  
Rudval Souza da Silva ◽  
Cleuma Sueli Santos Suto ◽  
...  
Keyword(s):  
Aedes Aegypti ◽  
Aedes Albopictus ◽  
Zika Virus ◽  
Electronic Library

O Zika vírus é um arbovírus transmitido pela picada dos mosquitos Aedes aegypti e Aedes albopictus infectados e apresentam como principais manifestações clínicas: febre aguda, exantema, prurido e conjuntivite. Em 2015 causou uma epidemia no Brasil, desencadeando casos de microcefalia em bebês cujas gestantes tiveram a febre da Zika. O Nordeste notificou o maior número de casos. Objetivou-se identificar, a partir de uma revisão integrativa, a relação entre a febre da Zika e a microcefalia. Trata-se de revisão integrativa, realizada a partir de buscas desenvolvidas nas bases de dados da Biblioteca Virtual em Saúde (BVS) e da Scientific Electronic Library Online (SciELO) com publicações dos anos de 2015 e 2016, idiomas português e inglês. Foram encontradas 191 publicações, as quais passaram por um processo de leitura e análise quanto ao atendimento do objetivo e aplicação dos critérios de inclusão. Restaram oito publicações que integraram o corpus desta revisão. Os resultados apontam para uma relação de causa e efeito entre o contato das gestantes com o Zika vírus e o desenvolvimento de microcefalia em seus bebês. Necessita-se de maiores evidências que demonstrem os reais fatores envolvidos nesse processo, como os genéticos, ambientais e até mesmo interferência de outras infecções. Palavras-chave: Zika vírus. Microcefalia. Aplicações da epidemiologia.

scholarly journals Implementation of a deep learning model for automated classification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) in real time

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Song-Quan Ong ◽  
Hamdan Ahmad ◽  
Gomesh Nair ◽  
Pradeep Isawasan ◽  
Abdul Hafiz Ab Majid
Keyword(s):  
Deep Learning ◽  
Aedes Aegypti ◽  
Real Time ◽  
Aedes Albopictus ◽  
Automated Classification ◽  
Expert Performance ◽  
Deep Convolutional Neural Networks ◽  
Significant Difference ◽  
Set Up

AbstractClassification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) by humans remains challenging. We proposed a highly accessible method to develop a deep learning (DL) model and implement the model for mosquito image classification by using hardware that could regulate the development process. In particular, we constructed a dataset with 4120 images of Aedes mosquitoes that were older than 12 days old and had common morphological features that disappeared, and we illustrated how to set up supervised deep convolutional neural networks (DCNNs) with hyperparameter adjustment. The model application was first conducted by deploying the model externally in real time on three different generations of mosquitoes, and the accuracy was compared with human expert performance. Our results showed that both the learning rate and epochs significantly affected the accuracy, and the best-performing hyperparameters achieved an accuracy of more than 98% at classifying mosquitoes, which showed no significant difference from human-level performance. We demonstrated the feasibility of the method to construct a model with the DCNN when deployed externally on mosquitoes in real time.

Hatching pattern and coexistence of Aedes aegypti and Aedes albopictus (Culicidae) in a subtropical city, Argentina, after three decades of coexistence

Acta Tropica ◽  
2021 ◽  
Vol 218 ◽  
pp. 105885
Author(s):  
Janinna Faraone ◽  
Sylvia Fischer ◽  
Carla Agustina Aponte ◽  
Eduardo Etchepare ◽  
Ornela Sofia Stechina ◽  
...  
Keyword(s):  
Aedes Aegypti ◽  
Aedes Albopictus

scholarly journals Oviposition Habitat Selection of Dengue Vectors, Aedes aegypti and Aedes albopictus in Response to Fish Predator

2016 ◽  
Vol 27 (3) ◽  
pp. 117-122 ◽  
Author(s):  
Wan Fatma Zuharah ◽  
◽  
Nik Fadzly ◽  
Wilson Kang Wei Ong ◽  
Zarul Hazrin Hashim ◽  
...  
Keyword(s):  
Habitat Selection ◽  
Aedes Aegypti ◽  
Aedes Albopictus ◽  
Fish Predator ◽  
Dengue Vectors ◽  
Selection Of
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