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Determining treatment needs at different spatial scales using geostatistical model-based risk estimates of schistosomiasis.

Abstract：

BACKGROUND:After many years of neglect, schistosomiasis control is going to scale. The strategy of choice is preventive chemotherapy, that is the repeated large-scale administration of praziquantel (a safe and highly efficacious drug) to at-risk populations. The frequency of praziquantel administration is based on endemicity, which usually is defined by prevalence data summarized at an arbitrarily chosen administrative level. METHODOLOGY:For an ensemble of 29 West and East African countries, we determined the annualized praziquantel treatment needs for the school-aged population, adhering to World Health Organization guidelines. Different administrative levels of prevalence aggregation were considered; country, province, district, and pixel level. Previously published results on spatially explicit schistosomiasis risk in the selected countries were employed to classify each area into distinct endemicity classes that govern the frequency of praziquantel administration. PRINCIPAL FINDINGS:Estimates of infection prevalence adjusted for the school-aged population in 2010 revealed that most countries are classified as moderately endemic for schistosomiasis (prevalence 10-50%), while four countries (i.e., Ghana, Liberia, Mozambique, and Sierra Leone) are highly endemic (>50%). Overall, 72.7 million annualized praziquantel treatments (50% confidence interval (CI): 68.8-100.7 million) are required for the school-aged population if country-level schistosomiasis prevalence estimates are considered, and 81.5 million treatments (50% CI: 67.3-107.5 million) if estimation is based on a more refined spatial scale at the provincial level. CONCLUSIONS/SIGNIFICANCE:Praziquantel treatment needs may be over- or underestimated depending on the level of spatial aggregation. The distribution of schistosomiasis in Ethiopia, Liberia, Mauritania, Uganda, and Zambia is rather uniform, and hence country-level risk estimates are sufficient to calculate treatment needs. On the other hand, countries like Burkina Faso, Mali, Mozambique, Sudan, and Tanzania show large spatial heterogeneity in schistosomiasis risk, which should be taken into account for calculating treatment requirements.

journal_name

PLoS Negl Trop Dis

journal_title

PLoS neglected tropical diseases

authors

Schur N,Vounatsou P,Utzinger J

doi

10.1371/journal.pntd.0001773

subject

Has Abstract

pub_date

2012-01-01 00:00:00

pages

e1773

issue

eissn

1935-2727

issn

1935-2735

pii

PNTD-D-12-00146

journal_volume

pub_type

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Determining treatment needs at different spatial scales using geostatistical model-based risk estimates of schistosomiasis.