An assessment of Lot Quality Assurance Sampling to evaluate malaria outcome indicators: extending malaria indicator surveys | Zendy

Caitlin Biedron | Zendy; Michele Pagano | Zendy; Bethany L. Hedt | Zendy; Albert Kilian | Zendy; Amy Ratcliffe | Zendy; Samuel Mabunda | Zendy; Joseph J. Valadez | Zendy

Open Access

An assessment of Lot Quality Assurance Sampling to evaluate malaria outcome indicators: extending malaria indicator surveys

Author(s) -

Caitlin Biedron,

Michele Pagano,

Bethany L. Hedt,

Albert Kilian,

Amy Ratcliffe,

Samuel Mabunda,

Joseph J. Valadez

Publication year - 2010

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyp363

Subject(s) - lot quality assurance sampling , malaria , environmental health , sampling (signal processing) , geography , indoor residual spraying , cluster sampling , business , medicine , population , computer science , filter (signal processing) , immunology , computer vision , plasmodium falciparum , artemisinin

Large investments and increased global prioritization of malaria prevention and treatment have resulted in greater emphasis on programme monitoring and evaluation (M&E) in many countries. Many countries currently use large multistage cluster sample surveys to monitor malaria outcome indicators on a regional and national level. However, these surveys often mask local-level variability important to programme management. Lot Quality Assurance Sampling (LQAS) has played a valuable role for local-level programme M&E. If incorporated into these larger surveys, it would provide a comprehensive M&E plan at little, if any, extra cost.

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