O'Meara WP, Bejon P, Mwangi TW, Okiro EA, Peshu N, Snow RW, Newton CR, Marsh K, 2008. Effect of a fall in malaria transmission on morbidity and mortality in Kilifi, Kenya. Lancet 372: 1555–1562.
Ceesay SJ, Casals-Pascual C, Erskine J, Anya SE, Duah NO, Fulford AJ, Sesay SS, Abubakar I, Dunyo S, Sey O, Palmer A, Fofana M, Corrah T, Bojang KA, Whittle HC, Greenwood BM, Conway DJ, 2008. Changes in malaria indices between 1999 and 2007 in The Gambia: a retrospective analysis. Lancet 372: 1545–1554.
Kleinschmidt I, Schwabe C, Benavente L, Torrez M, Ridl FC, Segura JL, Ehmer P, Nchama GN, 2009. Marked increase in child survival after four years of intensive malaria control. Am J Trop Med Hyg 80: 882–888.
malERA Consultative Group on Monitoring Evaluation and Surveillance, 2011. A research agenda for malaria eradication: monitoring, evaluation, and surveillance. PLoS Med 8: e1000400.
Rowe AK, 2009. Potential of integrated continuous surveys and quality management to support monitoring, evaluation, and the scale-up of health interventions in developing countries. Am J Trop Med Hyg 80: 971–979.
USAID. External Evaluation of the Peru Continuous Survey Experiment (December 2007). Available at: http://www.ghtechproject.com/resources.aspx. Accessed July 5, 2011.
USAID. Nicaragua Health Program Evaluation (April 2008). Available at: www.ghtechproject.com/Attachment.axd?ID=1e06e02d-70bb-4671-b564-258f5ed70d26. Accessed July 5, 2011.
Bryce J, Steketee R, 2010. Continuous surveys and quality management in low-income countries: a good idea. Am J Trop Med Hyg 82: 360; author reply 361–362.
National Statistical Office (NSO) [Malawi] and ORC Macro, 2005. Malawi Demographic and Health Survey 2004. Calverton, MD: NSO and ORC Macro.
Roll Back Malaria. Malaria Indicators Surveys. Available at: http://www.malariasurveys.org/. Accessed June 2, 2011.
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Novel malaria monitoring and evaluation (M&E) tools are urgently needed to complement the current “gold standard” Malaria Indicator Surveys (MIS). Rapid up scaling of malaria control efforts is resulting in substantial reductions in malaria burden across sub-Saharan Africa. As transmission goes down, timely, accurate, sub-national, and district level burden estimates are needed to guide increasingly targeted control efforts in remaining hotspot areas. To test a novel district level M&E tool, we have conducted a continuous (“rolling”) MIS (rMIS) since May 2010 covering 50 villages in Chikhwawa district in southern Malawi, essentially adapting an existing cross-sectional evaluation tool into a continuous monitoring tool. Here, we report on our experience after completing the first full year of monthly data collection focusing on the methods, operational aspects, and estimated costs of rMIS in a programmatic setting. The potential applicability of this promising M&E approach for district-level program managers and control efforts is discussed.
Financial support: We are grateful to the London School of Tropical Medicine and Hygiene, the Bill and Melinda Gates Foundation, and the Medicines for Malaria Venture for supporting this work.
Authors' addresses: Arantxa Roca-Feltrer, Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi, E-mail: arfeltrer@mlw.medcol.mw. David G. Lalloo and Dianne J. Terlouw, Liverpool School of Tropical Medicine, Liverpool, UK, E-mails: dlalloo@liv.ac.uk and dterlouw@liv.ac.uk. Kamija Phiri, Liverpool School of Tropical Medicine, Liverpool, UK and College of Medicine, Blantyre, Malawi, E-mail: kphiri@medcol.mw.