| Literature DB >> 22022471 |
Frank C Mng'ong'o1, Joseph J Sambali, Eustachkius Sabas, Justine Rubanga, Jaka Magoma, Alex J Ntamatungiro, Elizabeth L Turner, Daniel Nyogea, Jeroen H J Ensink, Sarah J Moore.
Abstract
Sustained malaria control is underway using a combination of vector control, prompt diagnosis and treatment of malaria cases. Progress is excellent, but for long-term control, low-cost, sustainable tools that supplement existing control programs are needed. Conventional vector control tools such as indoor residual spraying and house screening are highly effective, but difficult to deliver in rural areas. Therefore, an additional means of reducing mosquito house entry was evaluated: the screening of mosquito house entry points by planting the tall and densely foliated repellent plant Lantana camara L. around houses. A pilot efficacy study was performed in Kagera Region, Tanzania in an area of high seasonal malaria transmission, where consenting families within the study village planted L. camara (Lantana) around their homes and were responsible for maintaining the plants. Questionnaire data on house design, socioeconomic status, malaria prevention knowledge, attitude and practices was collected from 231 houses with Lantana planted around them 90 houses without repellent plants. Mosquitoes were collected using CDC Light Traps between September 2008 and July 2009. Data were analysed with generalised negative binomial regression, controlling for the effect of sampling period. Indoor catches of mosquitoes in houses with Lantana were compared using the Incidence Rate Ratio (IRR) relative to houses without plants in an adjusted analysis. There were 56% fewer Anopheles gambiae s.s. (IRR 0.44, 95% CI 0.28-0.68, p<0.0001); 83% fewer Anopheles funestus s.s. (IRR 0.17, 95% CI 0.09-0.32, p<0.0001), and 50% fewer mosquitoes of any kind (IRR 0.50, 95% CI 0.38-0.67, p<0.0001) in houses with Lantana relative to controls. House screening using Lantana reduced indoor densities of malaria vectors and nuisance mosquitoes with broad community acceptance. Providing sufficient plants for one home costs US $1.50 including maintenance and labour costs, (30 cents per person). L. camara mode of action and suitability for mosquito control is discussed.Entities:
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Year: 2011 PMID: 22022471 PMCID: PMC3192125 DOI: 10.1371/journal.pone.0025927
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Concern Plant Nursery in Ngara.
Figure 2Lantana planted around a house in the study village.
The plants grew rapidly to cover the sides of the houses where mosquitoes enter through small openings and eaves.
Number and percentage of houses in the study with and without Lantana that have factors assumed to influence indoor mosquito density.
| Risk Factor | No plants around houseN = 90 (%) | Lantana around houseN = 231(%) | χ 2 testP value | |
| Number of people living in the house | 1–4 | 40 (44.4) | 104 (45) | N.S. |
| 5–8 | 43(47.8) | 112 (48.5) | ||
| 9–12 | 7 (7.8) | 15 (6.5) | ||
| Number of bednets owned | 0 | 56 (62) | 123 (53.3) | N. S. |
| 1–3 | 33 (36.7) | 107 (46.3) | ||
| 4–5 | 1 (1) | 1 (0.4) | ||
| Number of people using bednets the previous night | 0 | 60 (66.7) | 130 (56.3) | N.S. |
| 1–3 | 20 (22.2) | 72 (31.2) | ||
| 4–6 | 9 (10) | 25 (10.8) | ||
| 7–11 | 1 (1) | 4 (1.7) | ||
| Place of cooking | Indoors | 72 (80) | 172 (74.5) | N.S. |
| Outdoors | 18 (20) | 59 (25.5) | ||
| Keep a fire burning overnight | No | 84 (94.4) | 218 (95.2) | N.S. |
| Yes | 5 (5.6) | 11 (4.8) | ||
| Roof material | Thatch | 38 (42.2) | 140 (62) | P = 0.001 |
| Tin | 52 (57.8) | 86 (38) | ||
| Eave gap | Closed | 49 (54.4) | 166 (71.9) | P = 0.003 |
| Open | 41 (45.6) | 65 (28.1) | ||
| Smoke stains in the house | None | 32 (35.6) | 126 (54.5) | P = 0.007 |
| Some <⅓ | 20 (22.2) | 42 (18.2) | ||
| Extensive >⅓ | 38 (42.2) | 63 (27.3) | ||
| Where livestock stay at night | No livestock | 27 (30) | 94 (40.7) | P = 0.01 |
| Indoors | 51 (56.7) | 88 (38.1) | ||
| Outdoors | 12 (13.3) | 49 (21.2) |
Association between mosquito counts and factors assumed to influence indoor mosquito density as measured in incidence rate ratios (IRR) from univariable negative binomial regression models.
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| All mosquitoes | ||||||||||
| Factor | Type of variable | N | Reference | IRR | 95% CI | p | IRR | 95% CI | p | IRR | 95% CI | p |
| Plant Used | Factor | 321 | No plants | 1 | 0.002 | 1 | <0.0001 | 1 | <0.0001 | |||
| Lantana | 0.48 | 0.30–0.76 | 0.17 | 0.09–0.30 | 0.54 | 0.40–0.73 | ||||||
| People in H/Hold | Continuous | 321 | per 1 person | 1.03 | 0.94–1.13 | N.S. | 1.02 | 0.91–1.16 | N.S. | 1.007 | 0.94–1.08 | N.S. |
| No slept under nets last night | Continuous | 321 | per 1 net | 0.93 | 0.83–1.04 | N.S. | 1.22 | 1.03–1.44 | 0.02 | 1.02 | 0.94–1.12 | N.S. |
| Bednets owned | Continuous | 321 | per 1 net | 0.59 | 0.38–0.93 | 0.02 | 1.87 | 0.98–3.58 | N.S. | 0.91 | 0.67–1.22 | N.S. |
| Roof material | Factor | 316 | Tin | 1 | N.S. | 1 | N.S. | 1 | N.S. | |||
| Thatch | 0.95 | 0.60–1.52 | 0.83 | 0.43–1.59 | 0.99 | 0.74–1.34 | ||||||
| Eaves | Factor | 321 | Closed | 1 | N.S. | 1 | N.S. | 1 | N.S. | |||
| Open | 1.36 | 0.84–2.20 | 1.35 | 0.65–2.81 | 1.28 | 0.93–1.78 | ||||||
| Place of cooking | Factor | 321 | Indoors | 1 | N.S. | 1 | N.S. | 1 | N.S. | |||
| Outdoors | 1.27 | 0.73–2.21 | 0.74 | 0.38–1.43 | 1.17 | 0.82–1.67 | ||||||
| Burn a fire overnight | Factor | 318 | No fire | 1 | N.S. | 1 | N.S. | 1 | N.S. | |||
| Fire | 1.52 | 0.50–4.63 | 1.04 | 0.42–2.56 | 1.06 | 0.60–1.89 | ||||||
| VisibleSmoke Stains | Factor | 321 | None | 1 | 1 | 1 | ||||||
| Some | 0.78 | 0.43–1.41 | N.S. | 0.85 | 0.36–2.04 | N.S. | 0.89 | 0.60–1.31 | N.S. | |||
| Extensive | 0.79 | 0.46–1.33 | N.S. | 0.80 | 0.38–1.70 | N.S. | 0.73 | 0.53–0.99 | 0.05 | |||
| Livestock overnight in house | Factor | 321 | None | 1 | 1 | 1 | ||||||
| Indoors | 1.80 | 1.05–3.09 | 0.03 | 1.10 | 0.47–2.57 | N.S. | 1.26 | 0.89–1.78 | N.S. | |||
| Outdoors | 1.05 | 0.58–1.91 | N.S. | 0.60 | 0.23–1.53 | N.S. | 1.02 | 0.71–1.48 | N.S. | |||
| Sampling period | Factor | 321 | Sept–Dec '08 | 1 | 1 | 1 | ||||||
| Jan–April '09 | 0.39 | 0.24–0.64 | <0.0001 | 2.99 | 1.00–8.93 | 0.049 | 1.08 | 0.78–1.49 | N.S. | |||
| May–July '09 | 0.27 | 0.14–0.53 | <0.0001 | 7.04 | 2.29–21.69 | 0.001 | 1.28 | 0.82–2.01 | N.S. | |||
Association between mosquito counts and factors assumed to influence indoor mosquito density as measured in incidence rate ratios (IRR) from multivariable negative binomial regression models.
| Mosquito | Risk Factor | IRR | Std. Err. | z | P | 95% C.I. | % Efficacy |
|
| No plants | 1 | 56% | ||||
| Lantana | 0.44 | 0.099 | −3.62 | <0.0001 | 0.278–0.683 | ||
| Bednets in h/hold | 0.762 | 0.092 | −2.25 | 0.024 | 0.602–0.965 | ||
| Sept–Dec '08 | 1 | ||||||
| Jan–April '09 | 0.39 | 0.094 | −3.91 | <0.0001 | 0.242–0.624 | ||
| May–July '09 | 0.26 | 0.096 | −3.64 | <0.0001 | 0.128–0.539 | ||
|
| No plants | 1 | 83% | ||||
| Lantana | 0.174 | 0.055 | −5.50 | <0.0001 | 0. 094–0.323 | ||
| Sept–Dec '08 | 1 | ||||||
| Jan–April '09 | 3.619 | 2.092 | 2.22 | 0.026 | 1.165–11.239 | ||
| May–July '09 | 6.017 | 3.534 | 3.06 | 0.002 | 1.903–19.025 | ||
| Total mosquitoesN = 318 | No plants | 1 | 50% | ||||
| Lantana | 0.503 | 0.072 | −4.77 | <0.0001 | 0.380–0.667 | ||
| No smoke stains | 1 | ||||||
| Some | 0.763 | 0.131 | −1.58 | N.S. | 0.546–1.067 | ||
| Extensive | 0.648 | 0.104 | −2.70 | 0.007 | 0.474–0.888 |
Figure 3Geometric mean mosquitoes collected per night using CDC LT during the three sampling periods 1) September–November 2008; 2) January to April 2009; 3) June–July 2009.
Areas are stacked to show how the relative composition of mosquitoes changes through time.
Figure 4Geometric mean and 95% Confidence Intervals (95% CI) mosquitoes collected per night using CDC LT between September 2008 and July 2009 in houses with Lantana camara (Lantana) planted around them and houses without repellent plants (Control).