Publications by authors named "D Nwaneri"

Background/aim: Malaria is a vector borne disease with high morbidity and mortality in endemic regions. In view to eliminating the disease, integrated vector and environmental hygiene practices have been advocated. There is paucity of studies on the effect of vector control measures on asymptomatic malaria infection which has been observed to be a reflection of malaria transmission.

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Background: This study objective was to describe the indications for the use of Tuberculin Skin Testing (TST) and the results in order to provide information that may be useful in defining the role of TST in the investigation and control of childhood tuberculosis.

Methodology: Through a Prospective cross-sectional study an audit of TSTs carried out over a one year period (2015-2016)in a tertiary hospital was done. The indications for the TST were extracted as well as the TST readings.

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Background: Prevention of BC of which the cornerstone is creating awareness and early detection is important in adolescents and young women because of their worse outcomes. Early detection strategies such as mammography are currently beyond the reach of most women in sub-Saharan Africa..

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Background: Recognition of the symptoms and seeking prompt treatment in a health facility is a major means of reducing morbidity and prevention of mortality from severe malaria in under-fives.

Objectives: To document the effect of health-seeking behaviour of caregivers and severe malaria outcome in underfives seen in a tertiary health institution in Nigeria.

Design: A descriptive cross-sectional study carried out from July 2012 - June 2013.

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Background: BACKGROUND:Existing malaria endemicity classification puts Egor, as holoendemic. Some decades after this classification, there is need to determine the current malaria endemicity of the locale using malariometric indices of asymptomatic malaria parasitaemia and spleen rates.

Methods: Descriptive cross-sectional survey involved apparently healthy school children aged 2-9 years; using a multi-stage stratified cluster sampling technique.

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