| Literature DB >> 17233883 |
Jude D Bigoga1, Lucien Manga, Vincent P K Titanji, Maureen Coetzee, Rose G F Leke.
Abstract
BACKGROUND: Malaria is a major public health problem in Cameroon. Unlike in the southern forested areas where the epidemiology of malaria has been better studied prior to the implementation of control activities, little is known about the distribution and role of anophelines in malaria transmission in the coastal areas.Entities:
Mesh:
Year: 2007 PMID: 17233883 PMCID: PMC1783660 DOI: 10.1186/1475-2875-6-5
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Distribution of the mosquito populations biting humans by study locality in coastal Cameroon.
| Mosquito species | Tiko | Limbe | Idenau | Total Collected | |
| Malaria vectors | 1086 (51%) | 619 (56.5%) | 463 (74.5%) | 2168 | |
| 305 (14%) | 79 (7.2%) | 15 (2.5%) | 399 | ||
| 205 (10%) | 1 | - | 206 | ||
| Non-malaria vectors | 334 (16%) | 23 (2%) | - | 357 | |
| 135 (6%) | 365 (33.3%) | 135 (21.7%) | 635 | ||
| 70 (3%) | 9 (1%) | 8 (1.3%) | 87 | ||
Figure 1Monthly variation in the density of anopheline vectors of human malaria (line) in relation to rainfall (bars).
Distribution of Anopheles gambiae complex adults caught feeding on humans and bred from larval collections in Tiko, Limbe and Idenau, coastal Cameroon.
| Adult | ||||||||
| Locality | Total collected | Total examined by PCR | Total examined By PCR | |||||
| M form | S form | M form | S form | |||||
| Tiko | 1086 | 540 | 540 (100%) | 0 | 60 | 60 (100%) | 0 | 0 |
| Limbe | 619 | 400 | 400 (100%) | 0 | 60 | 52 (86.7%) | 0 | 8(13.3%) |
| Idenau | 463 | 300 | 300 (100%) | 0 | 60 | 42 (70%) | 0 | 18(30%) |
| 180 | 154 (85.6%) | 0 | 26 (14.6%) | |||||
Parity rates of the malaria vectors at the three study sites.
| Tiko | 823 | 65.2% (n = 528) | |
| 54.3% (n = 175) | |||
| 75.8% (n = 120) | |||
| Limbe | 397 | 63.8% (n = 351) | |
| 56.5% (n = 46) | |||
| Idenau | 300 | 69.4% (n = 285) | |
| 53.3% (n = 15) |
Mean daily man biting rates (ma), circumsporozoite antigen rates (CSA) and entomological inoculation rates (EIR – infective bites per person per year) of the malaria vectors by locality in coastal Cameroon.
| Locality | ||||
| Tiko | Total collected | 1086 | 305 | 205 |
| 7.5 | 2.1 | 1.4 | ||
| Tested for CSP | 1086 | 305 | 205 | |
| CSA rate | 7.1 ± 1.5% | 17 ± 4.2% | 6.3 ± 3.3% | |
| EIR [95% CI] | 177 [161.0–193.1] | 85 [69.8–100.1] | 24 [14.8–33.2] | |
| Limbe | Total collected | 619 | 79 | - |
| 4.3 | 0.6 | - | ||
| Tested for CSP | 619 | 79 | - | |
| CSA rate | 8.4 ± 2.0% | 11 ± 7.0% | - | |
| EIR [95% CI] | 133 [123.7–142.2] | 27 [22.4–31.68] | - | |
| Idenau | Total collected | 463 | 15 | - |
| 3.2 | 0.1 | - | ||
| Tested for CSP | 463 | 15 | - | |
| CSA rate | 10.8 ± 2.8% | 10/15 | - | |
| EIR [95% CI] | 124 [115.0–132.9] | 25 [16.9–33.9] | - |
Figure 2Relationship between rainfall and biting rate of the vectors in the three localities.
Figure 3Combined monthly circumsporozoite antigen rates for Anopheles gambiae, An. funestus and An. nili in relation to rainfall in Tiko, Limbe and Idenau.
Figure 4Combined monthly Entomological Inoculation Rates for the vector species in Tiko, Limbe and Idenau.
Figure 5Prevalence of malaria parasitaemia by age group and season in Tiko, Limbe and Idenau.
Distribution of the mean gametocyte index in children under 5 years by locality in coastal Cameroon.
| August 2001 (Rainy Season) | 4/200 (2.0 ± 0.1%) | 3/208 (1.4 ± 0.1%) | 4/120 (3.3 ± 0.1%) | 11/528 (2.1%) |
| November 2001 (Transition:Rainy-dry season) | 4/134 (3.0 ± 0.1%) | 3/118 (2.5 ± 0.1%) | 6/95 (6.3 ± 0.1%) | 13/347 (3.7%) |
| February 2002 (Dry season) | 5/127 (4.0 ± 0.1%) | 2/116 (1.7 ± 0.1%) | 3/94 (3.2 ± 0.1%) | 10/337 (3.0%) |
| May 2002 (Transition: dry-Rainy season) | 3/126 (2.4 ± 0.1%) | 3/247 (1.2 ± 0.1%) | 4/106 (3.8 ± 0.1%) | 10/479 (2.1%) |