คลังข้อมูลการวิจัยการเกษตรไทย

ผู้แต่ง Veerayuth Kittichai

เผยแพร่โดย

* Medical Science Program, Faculty of Medicine, Chulalongkorn University, Bangkok, 10300, Thailand ** National Institute of Health, Department of Medical Sciences, Ministry of Public Health, Nonthaburi 11000, Thailand *** Faculty of Medical Technology, Prince of Songkla University, Songkhla, 90110, Thailand **** Department of Parasitology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10300, Thailand *****Excellence Center for Emerging Infectious Disease, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, 10330, Thailand

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หน่วยงาน ไม่ระบุหน่วยงาน

งานวิจัยที่แนะนำ Climatic factors influencing dengue hemorrhagic fever in Kolaka district, Indonesia Group B Streptococcal bacteremia burden and trends over time, 2007-15, Thailand Full genome characterization of novel DS-1-like G9P[8] rotavirus strains that have emerged in Thailand Wolbachia supergroups A and B in natural populations of medically important filth flies (Diptera : Muscidae, Calliphoridae, and Sarcophagidae) in Thailand Simulations to compare efficacies of tetravalent dengue vaccines and mosquito vector control Induction of defensin response to dengue infection in Aedes aegypti Mosquito vector-associated microbiota: Metabarcoding bacteria and eukaryotic symbionts across habitat types in Thailand endemic for dengue and other arthropod-borne diseases Prevalence of zoonotic Bartonella species among rodents and shrews in Thailand Draft Genome Sequence of a Clostridium botulinum Isolate from Thailand Harboring the Subtype bont/B8 Gene Efficacy of essential oils from Thai medicinal plants against insecticide-resistant Aedes aegypti mosquito in dengue-risk areas in Thailand

คัดลอก URL

ชื่อเรื่อง (EN):	Relationships between dengue virus infection in mosquito vector, (Aedes aegypti), dengue cases and weather conditions in Samut Sakhon Province, Thailand
ผู้แต่ง / หัวหน้าโครงการ (EN):	Veerayuth Kittichai
บทคัดย่อ (EN):	Background Dengue is commonly found in the tropical and subtropical regions. The disease is still affecting the population of the world especially in Southeast Asia. The current increase in both morbidity and mortality rates was associated with the potentiality of the viral transmission. Surveillance focusing on the virus infection in principal dengue vector, weather conditions and number of dengue cases should be evaluated to develop an effective control approach, therefore reduce the emergence of dengue disease within the endemic and/or new areas. Objectives To characterize the transmission pattern of dengue virus in the mosquito vector (Aedes aegypti) according to the seasons and to determine the relationship between dengue virus infections in the mosquito, monthly dengue case reports and weather conditions in a highly endemic area of Thailand. Research design Descriptive study. Setting Ban Phaeo District, Samut Sakhon Province, Thailand Methods Ae. aegypti mosquitoes were collected from the study site during the rainy season of 2012, winter, dry and rainy seasons of 2013. Dengue infection in the mosquitoes was determined by nested reverse-transcription polymerase chain reaction. The seasonal prevalence pattern of dengue in the mosquitoes was compared to the dengue cases, and also with to local-weather condition within the same periods. Results Four dengue serotypes were detected in the individual mosquito samples. The highest rate of infection was shown in the rainy season of 2012 (August - November). The infection rate in mosquitoes declined in the winter and dry season of 2013. However, the infection rate in the mosquitoes was increasing in the rainy season of 2013. The trend of the dengue cycle in mosquito vector likely associated with that from the cycle of dengue cases or the morbidity rate in the study area. Interestingly, those were also associated with the changes of local weather conditions, i.e. temperature and relative humidity. Conclusions The result showed significant association between the pattern of dengue case, morbidity and the dengue infection in the mosquito vectors. Incidence trends of the disease were also accompanied with the consecutive data of both humidity and temperature. Therefore, the data could improve the surveillance and contribute to better prediction of the magnitude for the dengue outbreak.
บทคัดย่อ:	ไม่พบข้อมูลจากหน่วยงานต้นทาง
ภาษา (EN):	en
เอกสารแนบ (EN):	http://nih.dmsc.moph.go.th/research/showimgdetil.php?id=473
เผยแพร่โดย (EN):	* Medical Science Program, Faculty of Medicine, Chulalongkorn University, Bangkok, 10300, Thailand National Institute of Health, Department of Medical Sciences, Ministry of Public Health, Nonthaburi 11000, Thailand * Faculty of Medical Technology, Prince of Songkla University, Songkhla, 90110, Thailand ** Department of Parasitology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10300, Thailand ***Excellence Center for Emerging Infectious Disease, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, 10330, Thailand
คำสำคัญ (EN):	nested reverse-transcription polymerase chain reaction (nested RT-PCR).
เจ้าของลิขสิทธิ์ (EN):	National Institute of Health, Department of Medical Science