Objective:To determine malaria prevalence,knowledge,attitude and practices at residents of Lagos Island Local Government.Methods:Two hundred blood samples were collected from adults attending the General Hospital,Mari...Objective:To determine malaria prevalence,knowledge,attitude and practices at residents of Lagos Island Local Government.Methods:Two hundred blood samples were collected from adults attending the General Hospital,Marina while 100 questionnaires were administered to individuals still in the same hospital.Majority of the respondents were between the ages of 18 and 30 years(44%),while the age group 60 and above had the lowest population(9%).Results:More than half of the respondents(68%)were employed and engaged in different occupations such as entrepreneur(32%),students(31%),trader(24%),and civil servant(10%).Stratification of the respondents by income revealed that 71%earned above the minimum wage,while 29%earned below.The prevalence of malaria by microscopy method was 10.5%.Malaria parasite had significant effect on the packed cell volume of infected individuals(P<0.05).Preventive measures employed by the respondents were majorly insecticide(72.2%),while some others(5.6%)used mosquito net.Majority of the respondents(98%)believed that malaria was caused by mosquito.Conclusions:Therefore,it is appropriate to put in place preventive measures against malaria to avoid high prevalence of the number one killer in tropical Africa.展开更多
Malaria parasites are strongly dependent on Anopheles mosquitoes for transmission; for this reason, mosquito population dynamics are a crucial determinant of malaria risk. However, temperature and rainfall play a sign...Malaria parasites are strongly dependent on Anopheles mosquitoes for transmission; for this reason, mosquito population dynamics are a crucial determinant of malaria risk. However, temperature and rainfall play a significant role in both aquatic and adult stages of the Anopheles. Consequently, it is important to understand the bio- logy of malaria vector mosquitoes in the study of malaria transmission. In this study, we develop a climate-based, ordinary-differential-equation model to analyze how rain- fall and temperature determine mosquito population size. In the model, we consider in detail the influence of ambient temperature on gonotrophic and sporogonic cycles over Amajuba District, Kwazulu-Natal Province, South Africa. In particular, we further use the model to simulate the spatial distribution of the mosquito biting rate over the study region. Our results reflect high seasonality of the population of An. gambiae over the region and also demonstrate the influence of climatic factors on the mosquito population dynamics.展开更多
文摘Objective:To determine malaria prevalence,knowledge,attitude and practices at residents of Lagos Island Local Government.Methods:Two hundred blood samples were collected from adults attending the General Hospital,Marina while 100 questionnaires were administered to individuals still in the same hospital.Majority of the respondents were between the ages of 18 and 30 years(44%),while the age group 60 and above had the lowest population(9%).Results:More than half of the respondents(68%)were employed and engaged in different occupations such as entrepreneur(32%),students(31%),trader(24%),and civil servant(10%).Stratification of the respondents by income revealed that 71%earned above the minimum wage,while 29%earned below.The prevalence of malaria by microscopy method was 10.5%.Malaria parasite had significant effect on the packed cell volume of infected individuals(P<0.05).Preventive measures employed by the respondents were majorly insecticide(72.2%),while some others(5.6%)used mosquito net.Majority of the respondents(98%)believed that malaria was caused by mosquito.Conclusions:Therefore,it is appropriate to put in place preventive measures against malaria to avoid high prevalence of the number one killer in tropical Africa.
文摘Malaria parasites are strongly dependent on Anopheles mosquitoes for transmission; for this reason, mosquito population dynamics are a crucial determinant of malaria risk. However, temperature and rainfall play a significant role in both aquatic and adult stages of the Anopheles. Consequently, it is important to understand the bio- logy of malaria vector mosquitoes in the study of malaria transmission. In this study, we develop a climate-based, ordinary-differential-equation model to analyze how rain- fall and temperature determine mosquito population size. In the model, we consider in detail the influence of ambient temperature on gonotrophic and sporogonic cycles over Amajuba District, Kwazulu-Natal Province, South Africa. In particular, we further use the model to simulate the spatial distribution of the mosquito biting rate over the study region. Our results reflect high seasonality of the population of An. gambiae over the region and also demonstrate the influence of climatic factors on the mosquito population dynamics.
