Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractDufour's gland analysis reveals caste and physiology specific signals in Bombus impatiens    Next AbstractEmission of air pollutants from burning candles with different composition in indoor environments »

PLoS Negl Trop Dis


Title:"Lymphatic filariasis transmission on Mafia Islands, Tanzania: Evidence from xenomonitoring in mosquito vectors"
Author(s):Derua YA; Rumisha SF; Batengana BM; Max DA; Stanley G; Kisinza WN; Mboera LEG;
Address:"National Institute for Medical Research, Amani Research Centre, Muheza, Tanga, Tanzania. National Institute for Medical Research, Headquarters, Dar es Salaam, Tanzania"
Journal Title:PLoS Negl Trop Dis
Year:2017
Volume:20171006
Issue:10
Page Number:e0005938 -
DOI: 10.1371/journal.pntd.0005938
ISSN/ISBN:1935-2735 (Electronic) 1935-2727 (Print) 1935-2727 (Linking)
Abstract:"INTRODUCTION: Lymphatic filariasis (LF) is a chronic nematode infection transmitted by mosquitoes and in sub-Saharan Africa it is caused by Wuchereria bancrofti. The disease was targeted for global elimination by 2020 using repeated community-wide mass drug administration (MDA) distributed in endemic areas. However, recently, there has been a growing recognition of the potential role of including vector control as a supplement to MDA to achieve elimination goal. This study was carried out to determine mosquito abundance and transmission of bancroftian filariasis on Mafia Islands in Tanzania as a prerequisite for a search for appropriate vector control methods to complement the ongoing MDA campaign. METHODS: Mosquitoes were collected indoor and outdoor using Centre for Disease Control (CDC) light and gravid traps, respectively. Collected mosquitoes were identified based on their differential morphological features and Anopheles gambiae complex and An. funestus group were further identified to their respective sibling species by polymerase chain reaction (PCR). Filarial mosquito vectors were then examined for infection with Wuchereria bancrofti by microscopy and PCR technique. RESULTS: Overall, a total of 35,534 filarial mosquito vectors were collected, of which Anopheles gambiae complex, An. funestus group and Culex quinquefasciatus Say accounted for 1.3, 0.5 and 98.2%, respectively. Based on PCR identification, An. gambiae sensu stricto (s.s) and An. funestus s.s sibling species accounted for 88.3% and 99.1% of the identified members of the An. gambiae complex and An. funestus group, respectively. A total of 7,936 mosquitoes were examined for infection with W. bancrofti by microscopy. The infection and infectivity rates were 0.25% and 0.08%, respectively. Using pool screen PCR technique, analysis of 324 mosquito pools (each with 25 mosquitoes) resulted to an estimated infection rate of 1.7%. CONCLUSION: The study has shown that Cx. quinquefasciatus is the dominant mosquito on Mafia Islands. By using mosquito infectivity as proxy to human infection, the study indicates that W. bancrofti transmission is still ongoing on Mafia Islands after more than a decade of control activities based on MDA"
Keywords:"Animals Anopheles/classification/genetics/*parasitology Culex/classification/genetics/*parasitology Disease Eradication Elephantiasis, Filarial/*epidemiology/parasitology/*transmission Humans Islands/epidemiology Mosquito Vectors/*parasitology Pest Contro;"
Notes:"MedlineDerua, Yahya A Rumisha, Susan F Batengana, Bernard M Max, Demetrius A Stanley, Grades Kisinza, William N Mboera, Leonard E G eng 2017/10/07 PLoS Negl Trop Dis. 2017 Oct 6; 11(10):e0005938. doi: 10.1371/journal.pntd.0005938. eCollection 2017 Oct"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 29-06-2024