, Division of Malaria Research E-mails: stanreb@yahoo.com, renaud.piarroux@ap-hm.fr, and sjean.gaudart@univ-amu.fr E-mail: nadine.dessay@teledetection.fr. REFERENCES <jrn>1 Control to elimination: implications for malaria research Trends in malaria cases, hospital admissions and deaths following scale-up of anti-malarial interventions Review of the malaria epidemiology and trends in Zambia The rise and fall of malaria in a west African rural community, Dielmo, Senegal, from 1990 to 2012: 22 year longitudinal study Spatio-temporal analysis of malaria within a transmission season in Bandiagara, Mali Characteristics of Plasmodium falciparum parasites that survive the lengthy dry season in eastern Sudan where malaria transmission is markedly seasonal Plasmodium falciparum infection during dry season: IgG responses to Anopheles gambiae salivary gSG6-P1 peptide as sensitive biomarker for malaria risk in northern Senegal The silent threat: asymptomatic parasitemia and malaria transmission Spatial targeting of interventions against malaria Hitting hotspots: spatial targeting of malaria for control and elimination, mails: mtravass@medicine.umaryland.edu, mlaurens@medicine.umaryland.edu, and cplowe@medicine.umaryland.edu. Stanislas Rebaudet, Renaud Piarroux, and Jean Gaudart, pp.449-454, 1998.
, Identification of hot spots of malaria transmission for targeted malaria control Disease Surveillance for Malaria Elimination: An Operational Manual Switzerland: World Health Organization Available at Community pyrimethamine-sulfadoxine use and prevalence of resistant Plasmodium falciparum genotypes in Mali: a model for deterring resistance Impact of preseason treatment on incidence of falciparum malaria and parasite density at a site for testing malaria vaccines in Bandiagara, Mali</jrn> <jrn>16 Incidence of severe Plasmodium falciparum malaria as a primary endpoint for vaccine efficacy trials in Bandiagara, Mali Stable malaria incidence despite scaling up control strategies in a malaria vaccine-testing site in Mali Time-dependent spectral analysis of epidemiological time-series with wavelets Wavelet analysis in ecology and epidemiology: impact of statistical tests A spatial scan statistic The nested case-control study in cardiology Global Malaria Programme. Seasonal Malaria Chemoprevention (SMC) for Plasmodium falciparum Malaria Control in Highly Seasonal Transmission Areas of the Sahel Sub-region in Africa. WHO Policy Recommendation. Geneva, Switzerland: World Health Organization.</bok> <jrn>24 Space-time clustering of childhood malaria at the household level: a dynamic cohort in a Mali village Impact of genetic complexity on longevity and gametocytogenesis of Plasmodium falciparum during the dry and transmission-free season of eastern Sudan</jrn> SUPPLEMENTAL FIGURE 1. Wavelet analysis of weekly clinical malaria incidence and asymptomatic carriage. The different panels comprise each time series analysis. The left panels (A1 and B1) are the wavelet power spectrum of the square root transformed and normalized series The color code for power values ranges from dark blue, Stable and unstable malaria hotspots in longitudinal cohort studies in Kenya The dotted black lines show the statistically significant area (threshold of 95% CI). The white lines represent the maxima of the wavelet power spectrum, and the black curves indicate the cone of influence that delimits the region not influenced by edge effects. The right panels (A2 and B2) correspond to the mean spectrum (black solid line) with its threshold value of 95% CI (dotted black line) for the aggregate time series. The third raw panel (C) represents the phase evolution of the two time series, pp.1764-1774, 1996.