Estimating malaria burden in Nigeria: a geostatistical modelling approach

Onyiri, Nnadozie

doi:10.4081/gh.2015.306

Cited by 32 publications

(41 citation statements)

References 25 publications

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“…The result of this study is a strong evidence that malaria is still highly prevalent in many urban communities including Ibadan South West Local Government Area of Oyo State, Nigeria. The high prevalence of 55% with mean (S.D) parasite density of 1814.70 (1829.117) parasite/µL of blood is an indication that Ibadan is a high-risk area for malaria transmission since it falls within Nigeria malaria risk map estimates of less than 20% in certain zone to more than 70% in other zones [15]. This is supported by other studies reported from Ibadan [8,16,17].…”

Section: Discussionsupporting

confidence: 75%

A cross-sectional study of the prevalence, density and risk factors associated with malaria transmission in urban communities of Ibadan, Southwestern Nigeria

Awosolu

Yahaya

Termizi

et al. 2020

Preprint

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Background Malaria is a serious global public health challenge which causes great morbidity and mortality worldwide particularly in sub-Saharan Africa. This study was designed to determine the prevalence, parasite density and risk factors associated with malaria infection transmission among residents of two urban communities of Ibadan, southwestern Nigeria. Methods A cross-sectional hospital-based study was carried out on 300 participants. Blood samples were obtained. Thick and thin blood films were prepared and viewed using the standard parasitological technique of microscopy. Moreover, data on sociodemographic and environmental variables were obtained using standard questionnaire. Results Of the 300 participants examined, a total of 165 (55.0%) were found positive for Plasmodium falciparum with a mean (S.D) parasite density of 1814.70 (1829.117) parasite/µL of blood. The prevalence and parasite density of malaria infection was statistically significant (P < 0.05) in relation to age group. Obviously, malaria infection decreases as age increasing with ≤ 5 years having the highest prevalence and mean parasite density. Similarly, in relation to gender, males significantly (P < 0.05) had higher prevalence (60.2%) and mean (S.D) parasite density of malaria infection [2157.73 (1659.570) parasite/µL of blood] compared to females. Additionally, those without formal education had the highest prevalence (73.0%) and mean (S.D) parasite density of infection [2626.96 (2442.195) parasite/µL of blood]. The binary logistic regression analysis showed that age group 6–10 (COR 0.066, 95% CI: 0.007–0.635), presence of streams (COR 0.225, 95% CI: 0.103–0.492), distance from streams within ≤ 1 Km (COR 0.283, 95% CI: 0.122–0.654) and travel to rural area (COR 4.689, 95% CI: 2.430–9.049) were the major risk factors. Conclusions Malaria infection is apparently endemic in the study area and greatly influenced by rural-urban movement. Multifaceted and integrated control strategy should be adopted. Health education on mosquito prevention and use of chemoprophylaxis before and during travel to rural areas are important.

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Section: Discussionsupporting

confidence: 75%

A cross-sectional study of the prevalence, density and risk factors associated with malaria transmission in urban communities of Ibadan, Southwestern Nigeria

Awosolu

Yahaya

Termizi

et al. 2020

Preprint

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“…In this study, the prevalence rate obtained is consistent with studies conducted in Plateau State [32], Niger [33], Benue [34] and Ebonyi State [35]. This differential pattern is supported by malaria risk maps which shows that malaria prevalence in Nigeria varied from less than 20% in certain areas to over 70% in others [3]. In other sub-Saharan countries endemic for malaria, the prevalence rate obtained in this study was similar to that reported in the Democratic Republic of the Congo [36], Equitorial Guinea [37], Mozambique [38] and Papua, New Guinea [39].…”

Section: Discussionsupporting

confidence: 90%

“…However, the distribution of malaria risk and its prevalence at the State and local government levels is heterogeneous. Considerable variations have been reported in the proportion of positive cases of malaria between study populations sampled from forest and the savanna ecological belts of Nigeria as well as between the States and the Local Government Areas (LGAs) within a State [3][4][5]. Out of the 493 children aged 6 -59 months examined by RTD in the forest zone, 37.7%-46.9% were positive for malaria parasites compared to 53%-66.6% in the savanna.…”

Section: Introductionmentioning

confidence: 99%

Five Year Retrospective and Current Prevalence of Malaria in Bunkure Local Government Area of Kano State, Nigeria

Bukhari

Yayo

Dabo

et al. 2020

IJTDH

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Background: Malaria is one of the most severe public health problems worldwide, particularly in Africa, with Nigeria having the greatest number of cases. This study evaluated a five-year (2012-2016) retrospective and a current trend (August-December 2017) of malaria prevalence in Bunkure Local Government Area of Kano State, Nigeria. Methods: The retrospective review was conducted by extracting data on malaria cases from the Summary Record Book at Bunkure Primary Health Care Facility. In the current survey, a total of 400 participants were examined using peripheral blood sample obtained by venous puncture to estimate the current malaria prevalence. All data obtained were analyzed using SPSS version 20. Results: In the retrospective period, a total of 12,387 suspected malaria patients were diagnosed using Rapid Diagnostic Test kit, out of which 9,746 (78.7%) were positive for malaria. The infection was higher in females (45.27%) and in subjects above or equal to 5years of age. There was no significant difference in prevalence between the gender (P= 0.322) and the age groups (P = 0.630). Of the 400 participants examined, 193 were found positive for malaria, representing a prevalence rate of (48.3%), much lower than the prevalence rate in the retrospective period (78.7%). The higher prevalence of the infection was found in males (32.25%) and the age group between 5-12 years (14.25%). The difference in prevalence was statistically not significant between the genders (p = 0.87) and the age groups (p = 0.142). Conclusion: Based on the findings of this study, there was a significant decline (P < 0.05) in trend of malaria prevalence in the study area, which may be attributed to the effectiveness of the ongoing control interventions in the locality. This study indicates the need for continuous monitoring of malaria prevalence using both microscopy and RDT for assessment of impact of malaria intervention in the area.

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“…Even if their contribution to the difference of malaria risk among sub-Saharan African children were very small, the quantity of rainfall, temperature and density of population were most important community factors for malaria risk. Study of Onyiri N carried in Nigeria has found similar result as us using a geostatistical approach (Onyiri 2015).…”

Section: Discussionsupporting

confidence: 69%

Importance of risk factors associated with malaria for Sub-Saharan African children

Bikundi

Coppieters

2017

International Journal of Environmental Health Research

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To assess the importance of malaria risk factors for children in sub-Saharan African countries. 61,292 children of 16 countries from DHS and MIS surveys were included in analysis. A regression model with analyse of variance and plots of mean decrease accuracy and mean decrease Gini indices were performed. The most important risk factor was the country and it contributed 52.33 % to the variance of the model. Wealth status of the child's family was the first socio-economic factor which contributed more to the difference of malaria risk among African children. There was no geographic factor among the five most important variables. Quantity of precipitation was the sixth most important factor. Our study has the potential for driving control effort in the fight against malaria in the continent which represent the majority of global malaria cases. The study indicates that, when implementing health policies, community characteristics must be taken into account.

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Estimating malaria burden in Nigeria: a geostatistical modelling approach

Cited by 32 publications

References 25 publications

A cross-sectional study of the prevalence, density and risk factors associated with malaria transmission in urban communities of Ibadan, Southwestern Nigeria

A cross-sectional study of the prevalence, density and risk factors associated with malaria transmission in urban communities of Ibadan, Southwestern Nigeria

Five Year Retrospective and Current Prevalence of Malaria in Bunkure Local Government Area of Kano State, Nigeria

Importance of risk factors associated with malaria for Sub-Saharan African children

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