| Literature DB >> 29029614 |
Marco Liverani1, Jacques Derek Charlwood2, Harriet Lawford3, Shunmay Yeung3,4.
Abstract
BACKGROUND: Large-scale use of insecticide-treated nets and indoor residual spraying have contributed to a significant decrease in malaria transmission worldwide. Further reduction and progress towards elimination, however, require complementary control measures which can address the remaining gaps in protection from mosquito bites. Following the development of novel pyrethroids with high knockdown effects on malaria vectors, programmatic use of spatial repellents has been suggested as one potential strategy to fill the gaps. This report explores social and contextual factors that may influence the relevance, uptake and sustainable use of a spatial repellent in two remote villages in Mondulkiri province, Cambodia, with endemic malaria transmission. The repellent consisted of polyethylene emanators, held in an open plastic frame and impregnated with 10% metofluthrin.Entities:
Keywords: Cambodia; Disease awareness; Malaria; Malaria protective measures; Metofluthrin; Residual malaria transmission; Social and economic aspects of malaria control; Spatial repellent
Mesh:
Substances:
Year: 2017 PMID: 29029614 PMCID: PMC5640900 DOI: 10.1186/s12936-017-2059-6
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Demographic and socioeconomic characteristics of all occupants in surveyed households
| Ou Chra n (%) | Pu Char n (%) | Totals n (%) | p value | |
|---|---|---|---|---|
| Age group (years)a | 0.241 | |||
| < 5 | 12 (8.9) | 48 (15.3) | 60 (13.4) | |
| 5–12 | 37 (27.4) | 73 (23.3) | 110 (24.6) | |
| 13–35 | 62 (45.9) | 130 (41.5) | 192 (42.9) | |
| > 35 | 24 (17.8) | 62 (19.8) | 86 (19.2) | |
| Gendera | 0.952 | |||
| Female | 66 (48.9) | 154 (49.2) | 220 (49.1) | |
| Male | 69 (51.1) | 159 (50.8) | 228 (50.9) | |
| Educationa | ||||
| (Some) primary | 67 (49.6) | 149 (47.6) | 216 (48.2) | 0.706 |
| (Some) secondary or other | 18 (13.3) | 36 (11.5) | 54 (12.05) | |
| No education | 50 (37.0) | 128 (40.9) | 178 (39.7) | |
| Occupationa | 0.468 | |||
| Farmer | 65 (48.2) | 153 (48.9) | 218 (48.7) | |
| Student or child | 58 (43.0) | 142 (45.4) | 200 (44.64) | |
| Other or none | 12 (8.9) | 18 (5.6) | 30 (6.7) | |
| Residency statusb | 1.000 | |||
| Resident | 134 (100) | 311 (99.4) | 445 (99.6) | |
| Visitor | 0 | 2 | 2 (0.5) | |
| Own at least onea | ||||
| TV | 13 (43.3) | 20 (35.1) | 33 (37.9) | 0.451 |
| Radio | 7 (23.3) | 8 (14.0) | 15 (17.2) | 0.275 |
| Mobile phone | 15 (50) | 40 (70.18) | 55 (63.22) | 0.064 |
| Bicycle | 5 (16.7) | 4 (7.0) | 9 (10.3) | 0.160 |
| Moto | 26 (86.7) | 73.7 | 68 (78.2) | 0.164 |
| Tractor | 14 (46.7) | 17 (29.8) | 31 (35.6) | 0.119 |
| HH socio-economic statusa | 0.137 | |||
| 1 (poorest) | 9 (30.0) | 20 (35.1) | 29 (33.3) | |
| 2 (poor) | 7 (23.3) | 22 (38.6) | 29 (33.3) | |
| 3 (least poor) | 14 (46.7) | 15 (26.3) | 29 (33.3) | |
aChi square
bFisher’s exact test
Fig. 1Examples of different types of houses in Ou Chra (Photos: JD Charlwood)
Fig. 2Location of residents in Ou Chra and Pu Cha at different times of the day
Fig. 3Location of residents in Ou Chra and Pu Cha, when away from their village
Self-reported usual sleeping time in different age groups
| n | Time to go to sleep n (%) | |||
|---|---|---|---|---|
| Before 19:00 | Between 19:00 and 21:00 | Later | ||
| Age group (years) | ||||
| < 5 | 49 | 4 (8.2) | 40 (88.9) | 5 (11.1) |
| 5–15 | 123 | – | 85 (69.1) | 38 (30.9) |
| 16–49 | 146 | – | 69 (47.3) | 77 (52.7) |
| > 49 | 27 | – | 10 (37.0) | 17 (63.0) |
| Total | 341 | 4 (1.2) | 204 (59.8) | 137 (40.2) |
Reported measures taken against mosquito bites
| Inside the house | Outside the house | In the farm or forest | |
|---|---|---|---|
| ITN | 83 (96.5) | 8 (11.3) | 15 (17.2) |
| Hammock net | – | 1 (1.4) | 11 (12.6) |
| Burn incense | 2 (2.3) | 2 (2.8) | – |
| Burn mosquito coil | 8 (9.3) | 2 (2.8) | 2 (2.3) |
| Burn leaves | 1 (1.2) | 26 (36.6) | 27 (31.0) |
| Indoor sprays | 7 (8.1) | – | – |
| Topical repellent | – | 2 (2.8) | – |
| Wear long clothes | 3 (3.5) | 24 (33.8) | 59 (67.8) |
| Clear vegetation | 5 (5.8) | 24 (33.8) | – |
| Cover water jars | – | 2 (2.8) | – |
| Others | 3 (3.5) | 5 (7.0) | – |
| None or don’t know | – | – | – |
| Total | 112 (130) | 96 (135) | 114 (131) |
Fig. 4Reported biting times inside and outside the house
Characteristics of all nets in the households
| Total | Ou Chra | Pu Char | |
|---|---|---|---|
| n (%) | n (%) | n (%) | |
| Nets in household | 171 (100) | 60 (100) | 111 (100) |
| Observed | 120 (70.2) | 38 (63.3) | 82 (73.9) |
| Not observed | 51 (29.8) | 22 (36.7) | 29 (26.1) |
| Source of net | 169 (100) | 58 (100) | 111 (100) |
| Government/NGO | 138 (81.7) | 46 (79.3) | 92 (82.9) |
| Shop/market | 11 (6.5) | 5 (8.6) | 6 (5.4) |
| Itinerant seller | 12 (7.1) | 4 (6.9) | 8 (7.2) |
| Other | 3 (1.7) | 3 (5.2) | 0 |
| Don’t know | 5 (3.0) | 0 | 5 (4.5) |
| Price of net | 171 (100) | 60 (100) | 111 (100) |
| Not paid | 110 (64.3) | 25 (41.7) | 85 (76.6) |
| ≤ 1000 | 31 (18.1) | 23 (38.3) | 8 (7.2) |
| ≥ 15,000 to < 25,000 | 5 (2.9) | 2 (3.3) | 3 (2.7) |
| ≥ 25,000 to < 35,000 | 9 (5.3) | 4 (6.7) | 5 (4.5) |
| ≥ 35,000 | 8 (4.7) | 2 (3.3) | 6 (5.4) |
| Do not know | 8 (4.7) | 4 (6.7) | 4 (3.6) |
| Hung where? | 159 (100) | 50 (100) | 109 (100) |
| Inside the house | 142 (89.3) | 46 (92.0) | 96 (88.1) |
| Outside the house | 9 (5.7) | 3 (6) | 6 (5.5) |
| In the field | 8 (5) | 1 (2) | 7 (6.4) |
Perceptions and preferences about spatial repellents after use: effectiveness, rating, and delivery methods
| Questions | Ou Chra | Pu Cha | Total | p value* |
|---|---|---|---|---|
| Have you had fewer mosquitoes after the instalment of the repellent? | 0.001 | |||
| Yes—much fewer | 3 (10) | 38 (66.7) | 41 (47.1) | |
| Yes—moderately fewer | 15 (50.0) | 18 (31.6) | 33 (37.9) | |
| Not at all | 8 (26.7) | 1 (1.7) | 9 (10.3) | |
| Do not know/other | 4 (13.3) | 0 (0.0) | 4 (4.6) | |
| How would you rate this product overall? | ||||
| Very useful | 8 (27.6) | 22 (38.6) | 30 (34.9) | |
| Useful | 7 (24.1) | 29 (50.9) | 36 (41.9) | |
| Not very useful | 8 (27.6) | 5 (8.8) | 13 (15.1) | |
| Useless | 2 (6.9) | 0 (0.0) | 2 (2.3) | |
| Do not know | 4 (13.8) | 1 (1.8) | 5 (5.8) | |
| Are you willing to use the repellent again? | 0.423 | |||
| Yes | 28 (93.3) | 56 (98.3) | 84 (96.6) | |
| No | 1 (3.3) | 0 (0.0) | 1 (1.2) | |
| Do not know | 1 (3.3) | 1 (1.8) | 2 (2.3) | |
| Would you prefer spatial repellents over bed nets | 0.104 | |||
| Yes | 8 (26.7) | 22 (38.6) | 30 (34.5) | |
| No | 20 (66.7) | 35 (61.4) | 55 (63.2) | |
| Do not know | 2 (6.7) | 0 (0.0) | 2 (2.3) | |
| What is your preferred purchase channel? | < 0.001 | |||
| Health centre/post | 16 (55.2) | 1 (1.8) | 17 (20.0) | |
| Private provider | 0 (0.0) | 2 (3.6) | 2 (2.4) | |
| Market | 0 (0.0) | 1 (1.8) | 1 (1.2) | |
| VMW | 8 (27.6) | 34 (60.7) | 42 (49.4) | |
| Village chief | 5 (17.2) | 15 (26.8) | 20 (23.5) | |
| Do not know | 0 (0.0) | 3 (5.4) | 3 (3.5) | |
* Fisher’s exact test
Mean willingness to pay by socio-economic status, Cambodian Riel (US Dollar)
| Mean | St. dev. | Median | Range | p value | |
|---|---|---|---|---|---|
| Willingness to pay | 0.1413* | ||||
| 1 (poorest) | 1219.23 (0.30) | 1340.16 (0.33) | 750 (0.19) | 200 (0.05)–5000 (1.25) | |
| 2 (poor) | 1338.46 (0.33) | 741.93 (0.19) | 1000 (0.25) | 300 (0.07)–3000 (0.75) | |
| 3 (least poor) | 1250.00 (0.31) | 1002.40 (0.25) | 1000 (0.25) | 250 (0.06)–5000 (0.75) | |
| Total | 1268.99 (0.32) | 1000 (0.26) | 1000 (0.25) | 200 (0.05)–5000 (1.25) | |
* Kruskal–Wallis test (Χ = 3.914)