Rural–urban differences in health-seeking for the treatment of childhood malaria in south-east Nigeria

Okeke, TC; Okeibunor, Joseph

doi:10.1016/j.healthpol.2009.11.005

Cited by 63 publications

(57 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Likewise, older people who live in urban area, have higher education, and belong to the high wealth index group sought for treatment than other groups. This also is an extension of the rural-urban differentials in malaria-related healthseeking practices that had been observed among various demographic groups in Nigeria (Obikeze, et al, 2010;Okeke and Okeibunor, 2010;Onabanjo and Nwokocha, 2012). The estimated odds shows that the significant differences observed for region and place of residence with respect to health seeking behavior of older people could be obliterated if there were similarity in education and wealth among the elderly.…”

Section: Discussionmentioning

confidence: 64%

Older persons and malaria treatment in Nigeria

Fayehun

Salami

2014

APS

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 64%

Older persons and malaria treatment in Nigeria

Fayehun

Salami

2014

APS

View full text Add to dashboard Cite

show abstract

“…This effect agrees well with previous research indicating that urban areas show lower malaria rates than rural regions (for example Kelly-Hope and McKenzie, 2009), a situation possibly due to a dilution effect with large population densities reducing the likelihood of transmission. Appropriate treatment-seeking behaviour in health facilities is also more likely to occur urban than in rural areas due to geographically more accessible facilities in urban dwellings (Okeke and Okeibunor, 2010). Moreover, some anopheline species do not breed well in polluted water bodies associated with urban environments (Sinka et al, 2010), which may lead to lower transmission levels due to a lower number of circulating adults in these areas.…”

Section: Articlementioning

confidence: 99%

Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda

Colón‐González¹,

Tompkins²,

Biondi³

et al. 2016

Geospat Health

View full text Add to dashboard Cite

We investigate the short-term effects of air temperature, rainfall, and socioeconomic indicators on malaria incidence across Rwanda and Uganda from 2002 to 2011. Delayed and nonlinear effects of temperature and rainfall data are estimated using generalised additive mixed models with a distributed lag nonlinear specification. A time series cross-validation algorithm is implemented to select the best subset of socioeconomic predictors and to define the degree of smoothing of the weather variables. Our findings show that trends in malaria incidence agree well with variations in both temperature and rainfall in both countries, although factors other than climate seem to play an important role too. The estimated short-term effects of air temperature and precipitation are nonlinear, in agreement with previous research and the ecology of the disease. These effects are robust to the effects of temporal correlation. The effects of socioeconomic data are difficult to ascertain and require further evaluation with longer time series. Climate-informed models had lower error estimates compared to models with no climatic information in 77 and 60% of the districts in Rwanda and Uganda, respectively. Our results highlight the importance of using climatic information in the analysis of malaria surveillance data, and show potential for the development of climateinformed malaria early warning systems. IntroductionDespite the global contraction in range over the past century , malaria still imposes a significant health and socioeconomic burden to many countries (WHO, 2013). The World Health Organization estimates that about 3.4 billion people are at risk of malaria (WHO, 2013). Approximately 207 million cases and 627,000 deaths occurred in 2012 worldwide (WHO, 2013). About 90% of the total mortality occurs in sub-Saharan Africa, and 77% of that percentage happens in children under 5 years of age (WHO, 2013). Two countries significantly affected by malaria are Rwanda and Uganda. Malaria has long been considered the main cause of morbidity and mortality in both countries (NISR, MOH and ICF International, 2012; UBOS and ICF International, 2012). Over the period 2002 to 2011, more than five million malaria cases were reported in Rwanda to government health facilities. The number was significantly greater in Uganda with about 100 million reports of suspected malaria cases between 2002 and 2010.Trends in malaria incidence could be attributed to the complex interplay of a range of determinants including climatic, environmental, and socioeconomic factors (Kazembe et al., 2006;Lowe et al., 2013;Rulisa et al., 2013). Statistical models are useful tools that allow us: i) to understand how disease outcomes change as a function of variations in their key driver; and ii) to predict disease outcomes based on the dynamics of such drivers (James et al., 2013). This paper aims to investigate the ways in which malaria incidence varies as a function of short-term changes in air temperature and rainfall over the period [2002][2003][2004][2005][...

show abstract

“…8,16 Specifically for children, 25% of mortalities in under five and 30% of childhood mortality can be attributed to malaria. 8,12,[17][18][19][20] Currently, standard practice is that all cases of fever in children under five should be treated as malaria within 24hours. 8 Yet, of the 16% of children under five who had fever two weeks before the national demographic survey in 2008, only about 2.4% received the recommended combination therapy treatment regime and only 1.1% of them received the treatment within the stipulated 24hour period.…”

Section: Malaria In Nigerian Children Under Five Yearsmentioning

confidence: 99%