Malaria Prevalence and its Sociodemographic Determinants in Febrile Children- a Hospital-based Study in a Developing Community in South-east Nigeria.

Nwaneli, E I; Eguonu, I; Ebenebe, Joy C.; Ofiaeli, Ogochukwu C; Nri-Ezedi, Chisom Adaobi

doi:10.15167/2421-4248/jpmh2020.61.2.1350

Cited by 8 publications

(4 citation statements)

References 14 publications

(24 reference statements)

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“…The analysis suggests that the higher malaria prevalence reported in the 10–17 years age group could be attributed to their active habits of staying outside houses during early nights, which increases exposure to mosquito bites, or/and the delayed acquisition of natural immune responses due to interventions implemented at a young age [ 47 ]. Similar findings were reported by previous studies conducted in Mali [ 48 ] and in South-East Nigeria [ 49 ]. Furthermore, when comparing malaria prevalence by area of residence, we showed that living in rural and peri-urban areas was associated with a higher risk of malaria, although this increase was not statistically significant.…”

Section: Discussionsupporting

confidence: 92%

Effects of Age, Gender and Soil-Transmitted Helminth Infection on Prevalence of Plasmodium Infection among Population Living in Bata District, Equatorial Guinea

et al. 2023

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Introduction: Malaria and soil-transmitted helminth (STH) co-infection is an important parasitic infection affecting populations in co-endemic countries including Equatorial Guinea. To date, the health impact of STH and malaria co-infection is inconclusive. The current study aimed to report the malaria and STH infection epidemiology in the continental region of Equatorial Guinea. Methods: We performed a cross-sectional study between October 2020 and January 2021 in the Bata district of Equatorial Guinea. Participants aged 1–9 years, 10–17 years and above 18 were recruited. Fresh venous blood was collected for malaria testing via mRDTs and light microscopy. Stool specimens were collected, and the Kato–Katz technique was used to detect the presence of Ascaris lumbricoides, Trichuris trichiura, hookworm spp. and intestinal Schistosoma eggs. Results: A total of 402 participants were included in this study. An amount of 44.3% of them lived in urban areas, and only 51.9% of them reported having bed nets. Malaria infections were detected in 34.8% of the participants, while 50% of malaria infections were reported in children aged 10–17 years. Females had a lower prevalence of malaria (28.8%) compared with males (41.7%). Children of 1–9 years carried more gametocytes compared with other age groups. An amount of 49.3% of the participants infected with T. trichiura had malaria parasites compared with those infected with A. lumbricoides (39.6%) or both (46.8%). Conclusions: The overlapping problem of STH and malaria is neglected in Bata. The current study forces the government and other stakeholders involved in the fight against malaria and STH to consider a combined control program strategy for both parasitic infections in Equatorial Guinea.

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Section: Discussionsupporting

confidence: 92%

Effects of Age, Gender and Soil-Transmitted Helminth Infection on Prevalence of Plasmodium Infection among Population Living in Bata District, Equatorial Guinea

et al. 2023

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“…Some of these diseases include dengue fever, malaria, filariasis, arboviruses, west Nile virus, Japanese encephalitis, yellow fever, chikungunya and so numerous to mention many of them (Chancey et al 2015;Dad et al 2019). Amongst these diseases, malaria stands out as the major human disease in Africa and Nigeria, with about 97% of Nigerian population at risk (Okorie et al 2014;Nwaneli et al 2020). Apart from the fact that mosquitoes transmit several diseases, their bites can in rare cases cause associated syndrome with swellings, sore, reddish spots that are itchy and presented with pain (Lopez 2022).…”

Section: Introductionmentioning

confidence: 99%

Bio-Efficacy of Grounded Sesamum Radiatum and Psoralea Corylitolia on Emergence of Anopheles Gambiae and Culex Quinquefasciatus

Ojianwuna¹

2022

Agrobiol. Rec.

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Mosquito larvae are highly distributed species in tropical regions where breeding sites are diverse and causing a number of public health diseases, when they emerge. This study tested the efficacy of two grounded insecticidal plant powders against the emergence of Anopheles and Culex species. Larvae of mosquitoes were collected using 350mL deep ladles and scooping spoon from Ethiope East LGA, Delta State, Nigeria. The mosquito larvae were exposed to 0.5, 1.0, and 1.5g of Psoralea corylitolia and Sesamum radiatum in 100mL of water. This corresponded to 0.005, 0.01, and 0.015g/mL concentration of experimental set up respectively. Mosquitoes were exposed to these treatments in 20 larvae per concentration in quadruplicates. Mean mortality and time of mortality were recorded. Probit model was used to determine LT50 and LT95. Mortality of larvae increased as concentration and time increased. Highest mortality was recorded in Culex mosquitoes exposed to 1.5g of Psoralea corylitolia and was closely followed by Anopheles mosquitoes exposed to same concentration of Sesamum radiatum. The differences between the mortalities were highly significant (P<0.00001). Emergence depreciated as the concentration increased with high mortality especially with 0.5g of Psoralea corylitolia exposed to Anopheles mosquito larvae. The insecticidal test plants did not determine the sex of mosquitoes and it was not significant (F sex ratio=1.127; P=0.357). Physicochemical parameters supported the mortality of both larvae exposed to Sesamum radiatum from 30 minutes till end of the post experimental exposure. Lethal time for 50% of mosquitoes ranged from 31 to 5858min whereas LT95 ranged from 1435 to 10218min for the two insecticidal test plants respectively. There is need for more study with the trial of oil of Sesamum radiatum and the determination of the gas chromatograph of this novel plant to ascertain the active components.

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“…The influence of urbanisation on malaria risk in African cities is significant [ 41 ]. While Anopheles mosquitoes have been discovered to adapt to urban development sites over time, they are known to breed more in rural settings [ 42 ]. Anopheles mosquito resistance to antimalarial drugs in Africa hinders malaria efforts due to environmental factors [ 43 ], despite attention being directed towards addressing this issue.Continuous monitoring and evaluation of current and future malaria transmission status in Northern Benin is a mainstay for the success of ongoing intervention strategies for malaria control.…”

Section: Discussionmentioning

confidence: 99%

Towards an intelligent malaria outbreak warning model based intelligent malaria outbreak warning in the northern part of Benin, West Africa

Gbaguidi,

Topanou,

Filho

et al. 2024

BMC Public Health

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Background Malaria is one of the major vector-borne diseases most sensitive to climatic change in West Africa. The prevention and reduction of malaria are very difficult in Benin due to poverty, economic insatiability and the non control of environmental determinants. This study aims to develop an intelligent outbreak malaria early warning model driven by monthly time series climatic variables in the northern part of Benin. Methods Climate data from nine rain gauge stations and malaria incidence data from 2009 to 2021 were extracted from the National Meteorological Agency (METEO) and the Ministry of Health of Benin, respectively. Projected relative humidity and temperature were obtained from the coordinated regional downscaling experiment (CORDEX) simulations of the Rossby Centre Regional Atmospheric regional climate model (RCA4). A structural equation model was employed to determine the effects of climatic variables on malaria incidence. We developed an intelligent malaria early warning model to predict the prevalence of malaria using machine learning by applying three machine learning algorithms, including linear regression (LiR), support vector machine (SVM), and negative binomial regression (NBiR). Results Two ecological factors such as factor 1 (related to average mean relative humidity, average maximum relative humidity, and average maximal temperature) and factor 2 (related to average minimal temperature) affect the incidence of malaria. Support vector machine regression is the best-performing algorithm, predicting 82% of malaria incidence in the northern part of Benin. The projection reveals an increase in malaria incidence under RCP4.5 and RCP8.5 over the studied period. Conclusion These results reveal that the northern part of Benin is at high risk of malaria, and specific malaria control programs are urged to reduce the risk of malaria.

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Malaria Prevalence and its Sociodemographic Determinants in Febrile Children- a Hospital-based Study in a Developing Community in South-east Nigeria.

Cited by 8 publications

References 14 publications

Effects of Age, Gender and Soil-Transmitted Helminth Infection on Prevalence of Plasmodium Infection among Population Living in Bata District, Equatorial Guinea

Effects of Age, Gender and Soil-Transmitted Helminth Infection on Prevalence of Plasmodium Infection among Population Living in Bata District, Equatorial Guinea

Bio-Efficacy of Grounded Sesamum Radiatum and Psoralea Corylitolia on Emergence of Anopheles Gambiae and Culex Quinquefasciatus

Towards an intelligent malaria outbreak warning model based intelligent malaria outbreak warning in the northern part of Benin, West Africa

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