| Literature DB >> 31521176 |
Peter Dambach1, Till Baernighausen2, Issouf Traoré3, Saidou Ouedraogo3, Ali Sié3, Rainer Sauerborn2, Norbert Becker4, Valérie R Louis2.
Abstract
BACKGROUND: Malaria remains one of the most important causes of morbidity and death in sub-Saharan Africa. Along with early diagnosis and treatment of malaria cases and intermittent preventive treatment in pregnancy (IPTp), vector control is an important tool in the reduction of new cases. Alongside the use of long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS), targeting the vector larvae with biological larvicides, such as Bacillus thuringiensis israelensis (Bti) is gaining importance as a means of reducing the number of mosquito larvae before they emerge to their adult stage. This study presents data corroborating the entomological impact of such an intervention in a rural African environment.Entities:
Keywords: Anopheles; Bacillus thuringiensis israelensis; Burkina Faso; Larval source management; Vector control
Mesh:
Substances:
Year: 2019 PMID: 31521176 PMCID: PMC6744650 DOI: 10.1186/s12936-019-2951-3
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1On the left: Spraying of mosquito breeding sites with Bti WG by trained members of the community using knapsack sprayers. On the right: CDC light trap being checked before installation within a rural village by an entomological technician
Fig. 2Study villages are shown with blue dots; bars indicate mosquito density in villages where mosquito captures took place. Bars show the average numbers of female Anopheles mosquitoes captured per trap per night indoors and outdoors using CDC light traps in September and October 2013 and 2014. Colours indicate treatment choice (Green = full treatment, orange = selective treatment, red = untreated control group). Closed lines encompass clusters of villages receiving the same treatment. In 2014, 9 additional villages were added to the mosquito collections
Fig. 3Point estimates of the regression model for the intervention year compared to the baseline year indicating the reduction in the count of indoor and outdoor female Anopheles mosquitoes per night per trap achieved through guided or full Bti treatment. The reference line represents the rate ratio value under the null hypothesis: i.e. the count of female Anopheles mosquitoes in the control areas receiving no Bti treatment are not different from the counts in areas receiving guided or full Bti treatment
Negative binomial regression model comparing mosquitoes counts in villages treated with three different Bti-interventions during non-intervention (2013 baseline) and intervention (2014) periods for female Anopheles captured indoors and outdoors, analysed together and separately. The random effect was integrated at village level
| N | Incidence-rate ratio (95% CI) |
| % reduction (95% CI) | |
|---|---|---|---|---|
| All (N = 4031) | ||||
| Untreated control | 2973 | – | ||
| Guided treatment | 409 | 0.393 (0.340–0.455) | < 0.001 | 60.7% (54.5%–66.0%) |
| Full treatment | 649 | 0.304 (0.258–0.359) | < 0.001 | 69.6% (64.1%–74.2%) |
| Indoors (N = 2063) | ||||
| Untreated control | 1522 | – | ||
| Guided treatment | 208 | 0.384 (0.324–0.455) | < 0.001 | 61.6% (54.5%–67.6%) |
| Full treatment | 333 | 0.318 (0.274–0.369) | < 0.001 | 68.2% (63.1%–72.6%) |
| Outdoors (N = 1968) | ||||
| Untreated control | 1451 | – | ||
| Guided treatment | 201 | 0.403 (0.345–0.471) | < 0.001 | 59.7% (52.9%–65.5%) |
| Full treatment | 316 | 0.285 (0.222–0.367) | < 0.001 | 71.5% (63.3%–77.8%) |
Fig. 4Average numbers of female Anopheles mosquitoes per trap per night caught a Indoors and b outdoors during the successive sampling rounds of the study period. The different Bti treatments are colour coded. The duration of performed larviciding is indicated with gray bars