scholarly journals Potential Risk Areas of Aedes albopictus in South-Eastern Iran: A Vector of Dengue Fever, Zika, and Chikungunya

2017 ◽  
Vol 8 ◽  
Author(s):  
Jalil Nejati ◽  
Rubén Bueno-Marí ◽  
Francisco Collantes ◽  
Ahmad A. Hanafi-Bojd ◽  
Hassan Vatandoost ◽  
...  
Keyword(s):  
Dengue Fever ◽  
Aedes Albopictus ◽  
Potential Risk ◽  
South Eastern ◽  
Eastern Iran ◽  
Risk Areas

scholarly journals Aedes albopictus (Skuse, 1894) infected with the American-Asian genotype of dengue type 2 virus in Medellín suggests its possible role as vector of dengue fever in Colombia

Biomédica ◽  
2017 ◽  
Vol 37 ◽  
pp. 135 ◽  
Author(s):  
Andrés Gómez-Palacio ◽  
Juan Suaza-Vasco ◽  
Sandra Castaño ◽  
Omar Triana ◽  
Sandra Uribe
Keyword(s):  
Aedes Aegypti ◽  
Dengue Fever ◽  
Aedes Albopictus ◽  
Distribución Geográfica ◽  
Dengue Type 2 Virus

Introducción. Aedes aegypti y Ae. albopictus son reconocidos vectores de arbovirus como los del dengue, la fiebre amarilla, el chikungunya y el Zika, en regiones tropicales y subtropicales del mundo. En Colombia, la distribución geográfica de Ae. albopictus ha sufrido un incremento y hoy incluye ciudades como Cali y Medellín. Hasta ahora, sin embargo, no se ha recabado información concluyente sobre su infección viral y su capacidad de transmisión a los humanos.Objetivo. Determinar la infección natural por dengue en ejemplares de Ae. albopictus recolectados en un área urbana de Medellín.Materiales y métodos. Se recolectaron individuos de Ae. albopictus en el campus de la Universidad Nacional de Colombia, sede Medellín. Se confirmó su clasificación taxonómica mediante el análisis del gen citocromo oxidasa I (COI), y se extrajo el ARN total para la identificación del virus del dengue y de los respectivos serotipos. La presencia del genotipo DENV se infirió mediante el análisis del gen NS3.Resultados. El análisis del COI corroboró el estatus taxonómico de Ae. albopictus. Uno de los mosquitos procesados fue positivo para DENV-2 y el análisis del NS3 mostró una gran similitud con el genotipo asiático-americano.Conclusión. Se reporta la infección con DENV-2 en Ae. albopictus en Medellín, Colombia. La presencia del genotipo asiático-americano en una zona urbana sugiere su posible circulación entre humanos y en Ae. albopictus, lo cual alerta sobre su eventual papel en la transmisión del DENV-2, y sobre la necesidad de incluir esta especie en la vigilancia entomológica en Colombia.

scholarly journals The Pattern of Knockdown Resistance Mutations Correlated to the Annual Average Temperature in Field Populations of Aedes Albopictus (Diptera: Culicidae) in China

2021 ◽  
Author(s):  
Hanming Chen ◽  
Qiuming Zhou ◽  
Haowei Dong ◽  
Hao Yuan ◽  
Jie Bai ◽  
...  
Keyword(s):  
Dengue Fever ◽  
Mutation Rate ◽  
Aedes Albopictus ◽  
Mutant Allele ◽  
Pearson Correlation ◽  
Point Mutations ◽  
National Database ◽  
Knockdown Resistance ◽  
Resistance Mutations ◽  
Annual Average

Abstract Background: Aedes albopictus is the main vector of dengue fever in China, distributed from north to south in China. Insecticides are an important method to control the mosquitoes, especially in the outbreak of dengue fever, but insecticide resistance raises the risk of failure to control vector-borne diseases. Knockdown resistance (kdr) caused by point mutations in the VGSC gene is a key mechanism that confers resistance to pyrethroids. To explore the characteristics and possible evolution trend of kdr mutation in Ae. albopictus, we analyzed the kdr mutations of field populations in China in this study.Methods: A total of 1 549 Ae. albopictus were collected from 18 sites in China from 2017 to 2019, as well as 50 individuals from three sites in the 1990s. A fragment of approximately 350 bp from part of S6 segment in the VGSC gene domain III was amplified and sequenced. The haplotypes of VGSC gene were recorded and the parsimony network was constructed using TCS 1.21. The data of annual average temperatures (AAT) of collection sites was acquired from national database. The correlation between AAT of the collection site and the kdr mutation rate was analyzed by Pearson Correlation using SPSS 21.0. Results: The overall frequency of mutant allele F1534 is 45.62%. Nine mutant alleles were detected at codon 1534 in fifteen field populations, namely TCC/TCG (S) (38.86%), TTG/CTG/CTC/TTA (L) (3.71%), TGC (C) (2.68%), CGC (R) (0.27%) and TGG (W) (0.10%). Only one mutant allele ACC (T) was found at codon 1532 with frequency of 6.39% in ten field populations. Moreover, multiple mutations at I1532 and F1534 in a sample appeared in five populations. The 1534 mutation rate was significantly positive related to AAT (Coefficient=0.624, p=0.0056), while the 1532 mutation rate was significantly negative related to AAT (Coefficient=-0.645, p=0.0038). Thirteen haplotypes were inferred, in which six mutant haplotypes were formed by one step, and the other six haplotypes were formed by one more mutations. In the samples from 1990s, no mutant allele was detected at codon 1532 of VGSC gene. However, F1534S/TCC was found in HNHK94 with an unexpected frequency of 100%.ConclusionsKdr mutations are widespread in the field populations of Ae. albopictus in China. Two novel mutant alleles F1534W/TGG and F1534R/CGC were the detected. The 1534 kdr mutation appeared in the population of Ae. albopictus no later than 1990s. F1534 mutation rate is positive correlated to AAT, while I1532 mutation rate is negative correlated to AAT. Insecticide using should be carefully managed to slow down the spread of high-resistance Ae. albopictus populations.

scholarly journals Using an Open GIS Framework and Epidemiological Intelligence for Dengue Surveillance

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Ta-Chien Chan ◽  
Bo-Cheng Lin ◽  
Chiao-Ling Kuo ◽  
Li-hsiang Chiang
Keyword(s):  
Public Health ◽  
High Risk ◽  
Dengue Fever ◽  
Surveillance System ◽  
Health Workers ◽  
Open Data ◽  
Outbreak Investigation ◽  
First Line ◽  
Public Health Workers ◽  
Risk Areas

Objective: In this paper we designed one cross-platform surveillance system to assist dengue fever surveillance, outbreak investigation and risk management of dengue fever.Introduction:In the 2015 dengue outbreak in Taiwan, 43,784 people were infected and 228 died, making it the nation’s largest outbreak ever. Facing the increasing threat of dengue, the integration of health information for prevention and control of outbreaks becomes very important. Based on past epidemics, the areas with higher incidence of dengue fever are located in southern Taiwan. Without a smart and integrated surveillance system, the information on case distribution, high risk areas, mosquito surveillance, flooding areas and so on is fragmented. The first-line public health workers need to check all this information through different systems manually. When outbreaks occurred, paper-based outbreak investigation forms had to be prepared and filled in by public health workers. Then, they needed to enter part of this information into Taiwan CDC’s system. Duplicated work occurred and cost lots of labor time during the epidemic period. Therefore, we choose one rural county, Pingtung County, with scarce financial resources, to set up a new dengue surveillance system.Methods: We designed a web-based cross-platform system based on an open geographical information system (GIS) framework including Openlayers, Javascript, PHP, MySQL and open data from government open data in Taiwan. There were seven epidemiological intelligence functions within the system including risk management, outbreak investigation, planning controlled areas, intelligent detection of high-risk areas, useful tools for decision making, historical epidemics, and system management. The website was developed by responsive web design which can let public health workers check information and fill in the investigation form by any devices.Results: The system was promptly set up in June 2016. With first-line public health workers’ efforts and the help of the surveillance system, there were no indigenous dengue fever cases after the system was implemented. There were sporadic imported cases from south-east Asia. The dengue surveillance system achieved three major improvements: integration of all decision support information; digitalization and automation of outbreak investigation; and planning the control areas. The results on outbreak investigation and mosquito surveillance can directly transfer to Taiwan CDC’s database by Web Application Programming Interface (API). It can avoid duplicated work for disease surveillance.Conclusions: Through introducing the new dengue surveillance system into local health departments, first-line public health workers can update all epidemic information at the same time. During epidemic periods, it can provide demographic, epidemiological, environmental, and entomological information for decision making. During non-epidemic periods, it can highlight the high risk areas for enhanced surveillance to reduce the risk of outbreaks.

Molecular survey of Plasmodium falciparum resistance in south–eastern Iran

2003 ◽  
Vol 97 (2) ◽  
pp. 119-124 ◽  
Author(s):  
S. Jafari ◽  
J. Le Bras ◽  
M. Asmar ◽  
R. Durand
Keyword(s):  
Plasmodium Falciparum ◽  
South Eastern ◽  
Molecular Survey ◽  
Eastern Iran

Epidemiology of Meningitis Studied at a University Hospital in Zahedan, South-Eastern Iran

2015 ◽  
Vol 2 (2) ◽  
Author(s):  
Batool Sharifi-Mood ◽  
Ali Khajeh ◽  
Maliheh Metanat ◽  
Azam Rasouli
Keyword(s):  
University Hospital ◽  
South Eastern ◽  
Eastern Iran

Should Electronic Faucets Be Recommended in Hospitals?

2004 ◽  
Vol 25 (11) ◽  
pp. 997-1000 ◽  
Author(s):  
Iris F. Chaberny ◽  
Petra Gastmeier
Keyword(s):  
Pseudomonas Aeruginosa ◽  
High Risk ◽  
Nosocomial Infection ◽  
Potential Risk ◽  
Risk Areas

AbstractMicrobiological examinations of electronic faucets newly installed in a hospital kitchen revealed high bacteria counts andPseudomonas aeruginosaduring a 6-month period of observation. Our data suggest that the use of electronic faucets poses a potential risk for nosocomial infection in high-risk areas of hospitals.

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