Insecticide susceptibility status of Anopheles gambiae (s.l.) in and surrounding areas of Lake Tana, northwest Ethiopia.

An. gambiae s.l. Ethiopia Insecticides Knockdown Malaria Resistance

Journal

Tropical medicine and health
ISSN: 1348-8945
Titre abrégé: Trop Med Health
Pays: Japan
ID NLM: 101215093

Informations de publication

Date de publication:
13 Jan 2023
Historique:
received: 29 08 2022
accepted: 04 01 2023
entrez: 13 1 2023
pubmed: 14 1 2023
medline: 14 1 2023
Statut: epublish

Résumé

Vector control is the most effective malaria control and prevention measure. Among these, IRS and LLINs are the most important chemical insecticide interventions used in malaria prevention and control strategies in Ethiopia. However, the long-term effectiveness of these strategies is under threat due to the emergency and spread of insecticide resistance in the principal malaria vector. Therefore, this study was carried out, under standardized laboratory conditions to assess the killing effect of some insecticides against An. gambiae s.l. Mosquitoes in late instar larvae and pupae stages were collected from different breeding habitats of the study sites using a soup ladle (350 ml capacity). The immature was reared to adults at optimum temperature and humidity in a field insectary using the WHO protocol. Four insecticides representing three chemical classes were used against adult mosquitoes. These were permethrin, deltamethrin, pirimiphos-methyl and bendiocarb. Susceptibility tests were carried out from September to December 2021 using the WHO standard procedures. Mortality rate, variation, interaction effect and knockdown times (KDT50 and KDT95%) were computed using descriptive statistics, multivariate analysis of variance and log-probit regression model using SPSS version 20 software. Totally, 1300 Anopheles gambiae s.l. were tested to determine the susceptibility status to the four insecticides. Among these, 90.7% of them were susceptible to insecticides, whereas the remaining 9.3% of specimens were resistant to the insecticides. The results of the analysis of variance showed that mortality significantly varied between insecticides (F = 26.06, DF = 3, P < .0001), but not between study locations (F = 1.56, DF = 3, P = 0.212). On the other hand, the mean comparison of dead mosquitoes showed some signs of interaction between bendiocarb and locations, but not other insecticides and locations. This study revealed that the knockdown times and effectiveness of different insecticides varied in different study sites. Therefore, insecticide resistance information is very essential for concerned bodies to make informed and evidence-based decisions on vector control.

Sections du résumé

BACKGROUND BACKGROUND
Vector control is the most effective malaria control and prevention measure. Among these, IRS and LLINs are the most important chemical insecticide interventions used in malaria prevention and control strategies in Ethiopia. However, the long-term effectiveness of these strategies is under threat due to the emergency and spread of insecticide resistance in the principal malaria vector. Therefore, this study was carried out, under standardized laboratory conditions to assess the killing effect of some insecticides against An. gambiae s.l.
METHODS METHODS
Mosquitoes in late instar larvae and pupae stages were collected from different breeding habitats of the study sites using a soup ladle (350 ml capacity). The immature was reared to adults at optimum temperature and humidity in a field insectary using the WHO protocol. Four insecticides representing three chemical classes were used against adult mosquitoes. These were permethrin, deltamethrin, pirimiphos-methyl and bendiocarb. Susceptibility tests were carried out from September to December 2021 using the WHO standard procedures. Mortality rate, variation, interaction effect and knockdown times (KDT50 and KDT95%) were computed using descriptive statistics, multivariate analysis of variance and log-probit regression model using SPSS version 20 software.
RESULTS RESULTS
Totally, 1300 Anopheles gambiae s.l. were tested to determine the susceptibility status to the four insecticides. Among these, 90.7% of them were susceptible to insecticides, whereas the remaining 9.3% of specimens were resistant to the insecticides. The results of the analysis of variance showed that mortality significantly varied between insecticides (F = 26.06, DF = 3, P < .0001), but not between study locations (F = 1.56, DF = 3, P = 0.212). On the other hand, the mean comparison of dead mosquitoes showed some signs of interaction between bendiocarb and locations, but not other insecticides and locations.
CONCLUSIONS CONCLUSIONS
This study revealed that the knockdown times and effectiveness of different insecticides varied in different study sites. Therefore, insecticide resistance information is very essential for concerned bodies to make informed and evidence-based decisions on vector control.

Identifiants

pubmed: 36639818
doi: 10.1186/s41182-023-00497-w
pii: 10.1186/s41182-023-00497-w
pmc: PMC9838068
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3

Subventions

Organisme : Bahir Dar University
ID : No

Informations de copyright

© 2023. The Author(s).

Références

Wellcome Open Res. 2017 Jul 26;2:57
pubmed: 28884158
Insect Mol Biol. 2000 Oct;9(5):491-7
pubmed: 11029667
Malar J. 2020 Feb 13;19(1):70
pubmed: 32054502
Parasit Vectors. 2018 Jun 13;11(1):344
pubmed: 29895314
Parasit Vectors. 2017 Sep 2;10(1):407
pubmed: 28865490
Malar J. 2013 Oct 02;12:350
pubmed: 24083353
Nature. 2015 Oct 8;526(7572):207-211
pubmed: 26375008
Nature. 2003 May 8;423(6936):136-7
pubmed: 12736674
Am J Trop Med Hyg. 2010 Jul;83(1):122-5
pubmed: 20595490
Parasit Vectors. 2012 Aug 07;5:159
pubmed: 22871143
Parasit Vectors. 2014 Mar 28;7:131
pubmed: 24678605
Pan Afr Med J. 2020 Sep 21;37:79
pubmed: 33244342
Trans R Soc Trop Med Hyg. 2008 Mar;102(3):263-71
pubmed: 18054056
BMC Res Notes. 2017 Sep 6;10(1):443
pubmed: 28877733
Malar J. 2017 Nov 18;16(1):469
pubmed: 29151024
Infect Dis Poverty. 2015 Oct 26;4:46
pubmed: 26497808
Parassitologia. 2003 Mar;45(1):1-3
pubmed: 15270536
Parasit Vectors. 2018 Jul 4;11(1):391
pubmed: 29973260
J Genet Eng Biotechnol. 2021 Mar 29;19(1):49
pubmed: 33779858
Zootaxa. 2013;3619:246-74
pubmed: 26131476
Malar J. 2017 Sep 11;16(1):364
pubmed: 28893240
Malar J. 2022 Apr 18;21(1):125
pubmed: 35436961
Parasit Vectors. 2010 Apr 25;3(1):40
pubmed: 20416109
Malar J. 2013 Sep 12;12:319
pubmed: 24028542
Trop Med Int Health. 2010 Jan;15(1):41-50
pubmed: 19917039
Annu Rev Entomol. 1996;41:163-90
pubmed: 8546445
East Mediterr Health J. 2004 Jan-Mar;10(1-2):167-74
pubmed: 16201723
Trends Parasitol. 2011 Feb;27(2):91-8
pubmed: 20843745
Parasit Vectors. 2016 Feb 05;9:71
pubmed: 26846990
Sci Rep. 2021 Jan 13;11(1):1145
pubmed: 33441570
PLoS One. 2011 Jan 12;6(1):e16066
pubmed: 21264325
Parasitol Res. 2011 Apr;108(4):757-79
pubmed: 21229263
Emerg Infect Dis. 2007 Feb;13(2):199-206
pubmed: 17479880
Zootaxa. 2020 Mar 04;4747(3):zootaxa.4747.3.1
pubmed: 32230095

Auteurs

Fasil A Kendie (FA)

Department of Biology, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia. fasiladugna@gmail.com.

Melaku Wale (M)

Department of Biology, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia.

Endalkachew Nibret (E)

Biotechnology Research Institute, Bahir Dar University, Bahir Dar, Ethiopia.

Zena Ameha (Z)

Amhara Public Health Institute, Bahir Dar, Ethiopia.

Classifications MeSH