2020
DOI: 10.1016/j.htct.2019.06.005
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Prevalence of hemoglobin abnormalities in an apparently healthy population in Benin

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Cited by 7 publications
(6 citation statements)
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“…To reduce SCD related morbidity and mortality, the therapies discussed in this review should be implemented in synergy with ensuring the uptake and sustainability of resource intensive EBIs [ 84 86 ]. Future studies undertaken in LMICs that face suboptimal infrastructure and resources, must employ implementation research methodology whilst engaging key stakeholders (providers and patients) and integrate findings from implementation outcome assessment into evidence-based practice for SCD management.…”
Section: Discussionmentioning
confidence: 99%
“…To reduce SCD related morbidity and mortality, the therapies discussed in this review should be implemented in synergy with ensuring the uptake and sustainability of resource intensive EBIs [ 84 86 ]. Future studies undertaken in LMICs that face suboptimal infrastructure and resources, must employ implementation research methodology whilst engaging key stakeholders (providers and patients) and integrate findings from implementation outcome assessment into evidence-based practice for SCD management.…”
Section: Discussionmentioning
confidence: 99%
“…This publication inspired in me to comment on this important public health topic that dangerously gnaws at our societies in sub-Saharan Africa. In Benin, recent data estimate a 22.3% prevalence of sickle cell trait (hemoglobin S) and a 10.21% prevalence of hemoglobin C, and 4% of the population would be affected by hemoglobin SS homozygosity and hemoglobin SC double heterozygosity (Rahimy et al, 2009;Zohoun et al, 2020). With an estimated population of 13 million, in Benin, the absolute number of the population concerned with this problem would be estimated to be more than 4 million.…”
Section: Current Situation In Beninmentioning
confidence: 99%
“…Figure 3. Global and regional prevalence a of sickle cell trait in Africa [22][23][24]41], Europe [26,28,42], India [30][31][32][33][34][35][43][44][45], the Middle East [36][37][38][39]46,47], and South America/the Caribbean [48,49]. a Within each region, the prevalence was estimated using a binomial normal model, which assumed a binomial distribution for the individual studies with a mean value drawn from a normal distribution for a regional/global value.…”
Section: Quantitative Meta-analysis Of Prevalence and Birth Prevalencementioning
confidence: 99%