| Literature DB >> 23638757 |
Natacha Protopopoff1, Johnson Matowo, Robert Malima, Reginald Kavishe, Robert Kaaya, Alexandra Wright, Philippa A West, Immo Kleinschmidt, William Kisinza, Franklin W Mosha, Mark Rowland.
Abstract
BACKGROUND: To control malaria in Tanzania, two primary vector control interventions are being scaled up: long-lasting insecticide-treated nets (LLINs) and indoor residual spraying (IRS). The main threat to effective malaria control is the selection of insecticide resistance. While resistance to pyrethroids, the primary insecticide used for LLINs and IRS, has been reported among mosquito vectors in only a few sites in Tanzania, neighbouring East African countries are recording increasing levels of resistance. To monitor the rapidly evolving situation, the resistance status of the malaria vector Anopheles gambiae s.l to different insecticides and the prevalence of the kdr resistance allele involved in pyrethroid resistance were investigated in north-western Tanzania, an area that has been subject to several rounds of pyrethroid IRS since 2006.Entities:
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Year: 2013 PMID: 23638757 PMCID: PMC3655935 DOI: 10.1186/1475-2875-12-149
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Figure 1Map of Tanzania showing the study area (top left). Map showing villages where sampling was conducted. Sites, for morning resting collection to perform WHO resistance test and light trap collection, are shown in red. Sites where only light trap collection was done are in dark grey. The dotted line delimited the high density of Anopheles area in the south west from the low Anopheles density area in the north east.
Mortality rates (95% confidence interval) and blood-feeding status of s.l from various localities exposed to lambdacyhalothrin 0.05% in WHO resistance tests
| May 2011 | Kikagate | 35 | 2 | 34% | (19–52) | 100% | 95% |
| | Kyamyorwa | 230 | 12 | 40%3 | (33–46) | 70% | 100% |
| Nov 2011 | Kishuro | 40 | 2 | 13% | (4–27) | 24% | 99% |
| | Ngenge | 52 | 3 | 25% | (14–39) | 59% | 99% |
| | Rwigembe | 42 | 2 | 31% | (18–47) | 84% | 100% |
| | Buhuma | 30 | 2 | 17% | (6–35) | 78% | 100% |
| | Kangoma | 105 | 6 | 8%1 | (3–14) | 40% | 96% |
| | Kikagate | 142 | 7 | 8% | (4–14) | 74% | 98% |
| | Kiteme | 104 | 6 | 31%2 | (22–41) | 92% | 99% |
| | Kyamyorwa | 149 | 7 | 26%3 | (19–34) | 75% | 98% |
| | Nyakahama | 13 | 1 | 38% | (14–68) | 77% | 100% |
| | Buhanga | 36 | 2 | 22%3 | (10–39) | 86% | 98% |
| | Kimbuga | 21 | 2 | 0% | (0–16) | 43% | 94% |
| Kisumu strain | 100 | 4 | 100% | (96–100) | |||
The allelic frequency of the kdr east mutation among An. gambiae s.s is reported separately for each village.
1Control mortality was 2%, 23% and 34% in the test indicated with a subscript and was 0% in all the other tests.
Mortality rates of the s.l field populations from various localities exposed to deltamethrin, permethrin, DDT and bendiocarb
| Bendiocarb (0.1%) | May 2011 | Kyamyorwa | 112 | 6 | 100% | (97–100) | 100% |
| Nov 2011 | Kyamyorwa | 106 | 7 | 84%1 | (76–90) | 78% | |
| | | Kangoma | 54 | 3 | 70%3 | (56–82) | 86% |
| | | Kikagate | 100 | 5 | 86% | (78–92) | 65% |
| | | Kiteme | 84 | 5 | 90%2 | (82–96) | 96% |
| | | Kisumu strain | 61 | 4 | 97% | (89–100) | |
| DDT (4%) | May 2011 | Kyamyorwa | 98 | 5 | 37% | (27–47) | 100% |
| | Nov 2011 | Kyamyorwa | 99 | 5 | 13%1 | (7–21) | 88% |
| | | Rwigembe | 8 | 1 | 13% | (0–53) | 36% |
| | | Buhuma | 12 | 1 | 17% | (2–48) | 58% |
| | | Kikagate | 20 | 1 | 35% | (15–59) | 55% |
| | | Kiteme | 85 | 4 | 40%2 | (30–51) | 100% |
| | | Kisumu strain | 100 | 4 | 100% | (96–100) | |
| Deltamethrin (0.05%) | May 2011 | Kishuro | 20 | 1 | 70% | (46–88) | 100% |
| | Kyamyorwa | 106 | 5 | 28%3 | (20–38) | 100% | |
| Permethrin (0.75%) | Nov 2011 | Kiteme | 98 | 5 | 11% | (6–19) | 98% |
Proportion of blood-fed Anopheles at the time of the testing is reported.
1Control mortality was 2%, 23% and 34% in the test indicated with a subscript and was 0% in all the other test.