OBJECTIVES: To provide information about preventive measures and treatment seeking behaviour as well as an estimate of the malaria burden in different epidemiological settings for effective monitoring and evaluation of the ongoing efforts. METHODS: Cross-sectional survey carried out in four areas representing different levels of transmission to explore the use of preventive measures, care-seeking behaviour and accessibility in addition to point prevalence was followed by a follow-up phase in which the health workers registered and reported all fever cases including malaria. The relation between the reported malaria incidence, the product of symptomatic/asymptomatic ratio and the prevalence of confirmed malaria cases was used to develop the equation that could predict the true malaria incidence. RESULTS: Thousand households and 3628 individuals were surveyed. The presence of any net varied between 6.6% and 40%; the percentage of people who reportedly slept under mosquito nets in the previous night varied between 35 and 80. Prompt use of medications ranged between 14 and 48% with a delay of more than 24 h noticed in different areas. The mean number of individuals per household who reported use of anti-malarial drugs in the last 2 weeks ranged between 0.6 (SD = 0.92) and 1.2 (SD = 1.1), with variable cost per treatment and affordability. The prevalence of asymptomatic parasitaemia, fever and confirmed malaria at time of the survey differed by area. The incidence of malaria during the follow-up period was estimated to be 8.5, 178.6, 23.7 and 10.3 episodes per 1000 population in Malakal, Elrank, Elhosh and El Matama, respectively. Based on this, a prediction equation was developed. CONCLUSION: We found suboptimal health care seeking behaviour, coverage and use of preventive measures with a high malaria burden. We developed a model for future estimation of malaria episodes.
OBJECTIVES: To provide information about preventive measures and treatment seeking behaviour as well as an estimate of the malaria burden in different epidemiological settings for effective monitoring and evaluation of the ongoing efforts. METHODS: Cross-sectional survey carried out in four areas representing different levels of transmission to explore the use of preventive measures, care-seeking behaviour and accessibility in addition to point prevalence was followed by a follow-up phase in which the health workers registered and reported all fever cases including malaria. The relation between the reported malaria incidence, the product of symptomatic/asymptomatic ratio and the prevalence of confirmed malaria cases was used to develop the equation that could predict the true malaria incidence. RESULTS: Thousand households and 3628 individuals were surveyed. The presence of any net varied between 6.6% and 40%; the percentage of people who reportedly slept under mosquito nets in the previous night varied between 35 and 80. Prompt use of medications ranged between 14 and 48% with a delay of more than 24 h noticed in different areas. The mean number of individuals per household who reported use of anti-malarial drugs in the last 2 weeks ranged between 0.6 (SD = 0.92) and 1.2 (SD = 1.1), with variable cost per treatment and affordability. The prevalence of asymptomatic parasitaemia, fever and confirmed malaria at time of the survey differed by area. The incidence of malaria during the follow-up period was estimated to be 8.5, 178.6, 23.7 and 10.3 episodes per 1000 population in Malakal, Elrank, Elhosh and El Matama, respectively. Based on this, a prediction equation was developed. CONCLUSION: We found suboptimal health care seeking behaviour, coverage and use of preventive measures with a high malaria burden. We developed a model for future estimation of malaria episodes.
Authors: Elfatih A Hasabo; Rawan I Khalid; Ghassan E Mustafa; Ruaa E Taha; Riham S Abdalla; Reham A Mohammed; Mazin S Haroun; Rawaa Adil; Riham A Khalil; Rawaa M Mansour; Reham K Mohamed; Heitham Awadalla Journal: Malar J Date: 2022-06-11 Impact factor: 3.469
Authors: Khalid A Elmardi; Abdisalan M Noor; Sophie Githinji; Tareg M Abdelgadir; Elfatih M Malik; Robert W Snow Journal: Malar J Date: 2011-05-15 Impact factor: 2.979
Authors: Katherine E Battle; Donal Bisanzio; Harry S Gibson; Samir Bhatt; Ewan Cameron; Daniel J Weiss; Bonnie Mappin; Ursula Dalrymple; Rosalind E Howes; Simon I Hay; Peter W Gething Journal: Malar J Date: 2016-01-11 Impact factor: 2.979
Authors: Juma Adinan; Damian J Damian; Neema R Mosha; Innocent B Mboya; Redempta Mamseri; Sia E Msuya Journal: PLoS One Date: 2017-04-13 Impact factor: 3.240