OBJECTIVE: To describe the epidemiology of urban malaria, an emerging problem in sub-Saharan Africa. METHOD: Cross-sectional surveys of communities in Accra and Kumasi, Ghana, determining risk factors for malaria infection and anaemia in children aged 6-60 months. RESULTS: Malaria prevalence rates ranged from 2% to 33% between urban communities. 47.1% of children were anaemic (Hb<11.0 g/dl). Factors associated with malaria prevalence were low socio-economic status, age and anaemia. The attributable risks of anaemia and severe anaemia (Hb<8.0 g/dl) caused by malaria were 5% and 23% respectively. CONCLUSIONS: Malaria in urban areas displayed a heterogeneity and complexity that differed from the rural environment, which has important implications for malaria control. Marked intra-city variation indicates the importance of targeting specific areas or districts. The most vulnerable group, the urban poor, should be prioritized when designing control measures. This would require careful assessment of the malaria risk pattern in any city to guide an integrated control program.
OBJECTIVE: To describe the epidemiology of urban malaria, an emerging problem in sub-Saharan Africa. METHOD: Cross-sectional surveys of communities in Accra and Kumasi, Ghana, determining risk factors for malaria infection and anaemia in children aged 6-60 months. RESULTS:Malaria prevalence rates ranged from 2% to 33% between urban communities. 47.1% of children were anaemic (Hb<11.0 g/dl). Factors associated with malaria prevalence were low socio-economic status, age and anaemia. The attributable risks of anaemia and severe anaemia (Hb<8.0 g/dl) caused by malaria were 5% and 23% respectively. CONCLUSIONS:Malaria in urban areas displayed a heterogeneity and complexity that differed from the rural environment, which has important implications for malaria control. Marked intra-city variation indicates the importance of targeting specific areas or districts. The most vulnerable group, the urban poor, should be prioritized when designing control measures. This would require careful assessment of the malaria risk pattern in any city to guide an integrated control program.
Authors: Jose G Siri; Mark L Wilson; Susan Murray; Daniel H Rosen; John M Vulule; Laurence Slutsker; Kim A Lindblade Journal: Am J Trop Med Hyg Date: 2010-03 Impact factor: 2.345
Authors: Alexander N O Dodoo; Lorna Renner; Adrianus C van Grootheest; Jerry Labadie; Kwadwo O Antwi-Agyei; Selasie Hayibor; Johannes Addison; Victoria Pappoe; Augustina Appiah-Danquah Journal: Drug Saf Date: 2007 Impact factor: 5.606
Authors: Kwabena Obeng Duedu; Kwamena William Coleman Sagoe; Patrick Ferdinand Ayeh-Kumi; Raymond Bedu Affrim; Theophilus Adiku Journal: Asian Pac J Trop Biomed Date: 2013-02
Authors: Shareen A Iqbal; Felix Botchway; Kingsley Badu; Nana O Wilson; Yvonne Dei-Adomakoh; Carmen M Dickinson-Copeland; Helena Chinbuah; Andrew A Adjei; Michael Wilson; Jonathan K Stiles; Adel Driss Journal: J Trop Pediatr Date: 2016-06-17 Impact factor: 1.165