| Literature DB >> 32928223 |
Innocent Djègbè1, Merdie Zinsou2,3, Edia Flavien Dovonou2, Geneviève Tchigossou3, Murielle Soglo3, Razack Adéoti3, Brice Gbaguidi3, Seun Atoyebi3, Fabrice Chandre4, Martin Akogbéto5, Jo Lines6, Rousseau Djouaka3.
Abstract
BACKGROUND: Irrigation systems have been identified as one of the factors promoting malaria disease around agricultural farms in sub-Saharan Africa. However, if improved water management strategy is adopted during rice cultivation, it may help to reduce malaria cases among human population living around rice fields. This study aimed to assess the impact of the different irrigation practices on malaria transmission, as well as to evaluate the water management system that will best mitigate malaria transmission in Malanville, Benin.Entities:
Keywords: Anopheles larvae; Continuous flooding; Deep tillage; Intermittent flooding; Malanville; Malaria; Minimal tillage; Rice field
Mesh:
Year: 2020 PMID: 32928223 PMCID: PMC7491134 DOI: 10.1186/s12936-020-03406-2
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1Map of Benin showing the study site
Farmer’s knowledge on malaria
| Variables | Number | Percentage | P |
|---|---|---|---|
| Awareness about malaria | |||
| Yes | 57 | 54.80% | 0.1 |
| No | 47 | 45.20% | |
| Diseases suffering by rice farmers | |||
| Malaria | 93 | 89.42% | 0.001 |
| Yellow fever | 5 | 4.80% | |
| Schistosomiases | 29 | 27.88% | |
| Athlete foot | 11 | 10.57% | |
| Causes of Malaria | |||
| Mosquito bites | 89 | 85.57% | 0.001 |
| Hardwork | 16 | 15.38% | |
| Sun | 20 | 19.23% | |
| Dirty water consumption | 41 | 39.42% | |
| Oil consumption | 15 | 14.42% | |
| Witchcraft | 3 | 2.88% | |
| Sign of malaria | |||
| Fever | 83 | 79.80% | 0.001 |
| Headache | 18 | 17.30% | |
| Vomiting | 61 | 58.65% | |
| Diarrhoea | 22 | 21.15% | |
| Other | 30 | 28.84% | |
| Mosquitoes breeding areas | |||
| Dirty stagnant water | 93 | 89.42% | 0.001 |
| Bushes | 38 | 36.53% | |
| Rice field | 5 | 4.80% | |
| Others | 3 | 2.88% | |
| Mosquito larvae known | |||
| Yes | 9 | 8.65% | 0.00001 |
| No | 95 | 91.34% | |
| Period of mosquito abundance | |||
| Rainy season | 68 | 65.38% | 0.01 |
| Dry season | 9 | 8.65% | |
| During rice cultivation | 59 | 56.73% | |
| Don’t know | 1 | 0.96% | |
Fig. 2Malaria cases in Malanville district in 2013 (a), 2014 (b) and in 2015 (c). NB: This figure reveals two peaks of transmission: peak 1 in July due to the rainy season and peak 2 in September due to the rice production and rainfall
Fig. 3Mean density of all mosquito larvae and Anopheles mosquito larvae collected during Panel 1 transplanting (a, b), Panel 2 tellering (c, d) and Panel 3 maturation (e, f). NB: DT, Deep tillage; MT, minimal tillage; CF, continuous flooding; IF, intermittent flooding; NL, normal levelling; AL, abnormal levelling. Histogram bars sharing the same letters are not significantly different
Mosquito larvae density/350 ml according to different technologies during rice development
| Tillage | Flooding | Leveling | ||||
|---|---|---|---|---|---|---|
| Deep | Minimal | Continuous | Intermittent | Normal | Abnormal | |
| Transplanting | 2,056a | 0,592b | 1,922a | 0,792b | 1,367a | 1,539a |
| P value | 0,000000 | 0,000000 | 0,088302 | |||
| Tillering | 2,833a | 1,017b | 2,694a | 1,225b | 1,925a | 2,228a |
| P value | 0,000000 | 0,000000 | 0,151127 | |||
| Maturation | 0,667a | 0,350b | 0,689a | 0,317b | 0,492a | 0,572a |
| P value | 0,001351 | 0,000065 | 0,818796 | |||
NB, The numbers sharing the same letter are not significantly different. Comparison was made between deep tillage and minimal tillage, continuous flooding and intermittent flooding, normal levelling and abnormal levelling effect on reduction of anopheles larval density