scholarly journals ResistanceSim: development and acceptability study of a serious game to improve understanding of insecticide resistance management in vector control programmes

2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Edward K. Thomsen ◽  
Charlotte Hemingway ◽  
Andy South ◽  
Kirsten A. Duda ◽  
Claire Dormann ◽  
...  
PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0240514
Author(s):  
Claire Dormann ◽  
Kirsten Duda ◽  
Busiku Hamainza ◽  
Delenesaw Yewhalaw ◽  
Charlotte Hemingway ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (6) ◽  
pp. e99822 ◽  
Author(s):  
Edward K. Thomsen ◽  
Clare Strode ◽  
Kay Hemmings ◽  
Angela J. Hughes ◽  
Emmanuel Chanda ◽  
...  

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Thomas R. Burkot ◽  
Robert Farlow ◽  
Myo Min ◽  
Effie Espino ◽  
Abraham Mnzava ◽  
...  

Abstract Background Maintaining the effectiveness of the currently recommended malaria vector control interventions while integrating new interventions will require monitoring key recommended indicators to identify threats to effectiveness including physiological and behavioural resistance to insecticides. Methods Country metadata on vector surveillance and control activities was collected using an online survey by National Malaria Control Programmes or partner organization officials. Country and regional surveillance activities were analysed for alignment with indicators for priority vector surveillance objectives recommended by the World Health Organization. Surveillance activities were also compared for countries in the E2020 (eliminating countries) and countries with more intense transmission. Results Significant differences in monitoring priority vector indicators between Africa and Asia-Pacific country programmes were found as well as differences between countries approaching elimination and those controlling malaria. Gaps were found between vector data collected and country management strategies (i.e., for insecticide resistance management and integrated vector control strategies) and for making programmatic decisions on surveillance and control using vector surveillance data. Conclusions Significant opportunities exist for increasing vector data collection on priority indicators and using these data for national programmatic decisions for both proactive insecticide resistance management and enhancing vector control.


2019 ◽  
Vol 57 (3) ◽  
pp. 830-836
Author(s):  
Aryana Zardkoohi ◽  
David Castañeda ◽  
Juan C Lol ◽  
Carmen Castillo ◽  
Francisco Lopez ◽  
...  

Abstract Aedes aegypti (Linnaeus, 1762) is considered the most important mosquito vector species for several arboviruses (e.g., dengue, chikungunya, Zika) in Costa Rica. The primary strategy for the control and prevention of Aedes-borne diseases relies on insecticide-based vector control. However, the emergence of insecticide resistance in the mosquito populations presents a significant threat to these prevention actions. The characterization of the mechanisms driving the insecticide resistance in Ae. aegypti is vital for decision making in vector control programs. Therefore, we analyzed the voltage-gated sodium channel (VGSC) gene for the presence of the V1016I and F1534C kdr mutations in Ae. aegypti populations from Puntarenas and Limon provinces, Costa Rica. The CDC bottle bioassays showed that both Costa Rican Ae. aegypti populations were resistant to permethrin and deltamethrin. In the case of kdr genotyping, results revealed the co-occurrence of V1016I and F1534C mutations in permethrin and deltamethrin-resistant populations, as well as the fixation of the 1534C allele. A strong association between these mutations and permethrin and deltamethrin resistance was found in Puntarenas. Limon did not show this association; however, our results indicate that the Limon population analyzed is not under the same selective pressure as Puntarenas for the VGSC gene. Therefore, our findings make an urgent call to expand the knowledge about the insecticide resistance status and mechanisms in the Costa Rican populations of Ae. aegypti, which must be a priority to develop an effective resistance management plan.


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