1.Gomez-Elipe, A, et al. Forecasting malaria incidence based on monthly case reports and environmental factors in Karuzi, Burundi, 1997–2003. Malaria Journal 2007; 6: 129.
2.Roca-Feltrer, A, et al. A simple method for defining malaria seasonality. Malaria Journal 2009; 8: 276.
3.Zhou, G, et al. Association between climate variability and malaria epidemics in the East African highlands. Proceedings of the National Academy of Sciences USA 2004; 101: 2375–2380.
4.Mabaso, ML, et al. Environmental predictors of the seasonality of malaria transmission in Africa: the challenge. American Journal of Tropical Medicine & Hygiene 2007; 76: 33–38.
5.Sidyakin, VT, et al. Cosmic Ecology [in Russian]. Kiev: Naukova Dumka Press, 1985, pp. 69–70.
6.Cherry, N. Schumann resonances, a plausible biophysical mechanism for the human health effects of solar/geomagnetic activity. Natural Hazards 2002; 26: 279–331.
7.Chizhevsky, AL. Terrestrial Echo of Solar Storms [in Bulgarian]. Sofia: Nauka i Izkustvo, 1984.
8.Halberg, F, et al. Chronobiology's progress. Part I, season's appreciations 2004–2005: time-, frequency-, phase-, variable-, individual-, age- and site-specific chronomics. Journal of Applied Biomedicine 2006; 4: 1–38.
9.Billig, EMW, et al. Developmental allometry and paediatric malaria. Malaria Journal 2012; 11: 64.
10.Gay, F, et al. Cerebral malaria: what is known and what is on research. Revue Neurologique (Paris) 2012; 168: 239–256.
11.Cibulskis, RE, et al. Estimating trends in the burden of malaria at country level. American Journal of Tropical Medicine & Hygiene 2007; 77 (6 Suppl.): 133–137.
12.Dimitrov, BD, Atanassova, PA. Cerebral malaria admissions in Papua New Guinea may show interannual cyclicity: an example of ≈1·5-year cycle for malaria incidence in Burundi. Nature Proceedings, 2008 (http://hdl.handle.net/10101/npre.2008.1769.1). Accessed 27 October 2010).
13.Dimitrov, BD, Komitov, BP, Dimitrova, BS. Analysis of incidence variations of some diseases in Bulgaria during XX century. Possible effect of solar activity [in Bulgarian with English Abstract]. Higiena i Zdraveopazvane 1990; 33: 9–14.
14.Valev, D. Statistical relationships between the surface air temperature anomalies and the solar and geomagnetic activity indices. Physics and Chemistry of the Earth 2006; 31: 109–112.
15.Komitov, B. The ‘Sun-climate’ relationship. I. The sunspots and the climate. Bulgarian Astronomical Journal 2009; 11: 139–151.
16.Dimitrov, BD, Atanassova, PA, Rachkova, MI. Cyclicity of suicides may be modulated by internal or external ≈11-year cycles: an example of suicides rates in Finland. Sun & Geosphere 2009; 4: 50–54.
17.Cazelles, B, et al. Time-dependent spectral analysis of epidemiological time-series with wavelets. Journal of the Royal Society Interface 2007; 4: 625–636.
18.Dimitrov, BD, et al. Cyclic patterns of malaria incidence in Burundi. Central European Journal of Biology 2011; 6: 58–67.
19.Dimitrov, BD. Heliophysical activity and incidence variations of skin malignant melanoma in Czechoslovakia: a regional study. International Journal of Biometeorology 1993; 37: 68–71.
20.Dimitrov, BD. Cyclic patterns of incidence variations for stomach cancer in the North-Western Region of England. Croatian Medical Journal 2000; 41: 197–202.
21.Dimitrov, BD. Cyclicity in incidence variations of meningococcal infections in Bulgaria is similar to that of solar activity. Central European Journal of Public Health 2000; 8: 114–116.
22.Dimitrov, BD, Rachkova, MI, Atanassova, PA. Cyclic patterns of incidence rate for skin malignant melanoma: association with heliogeophysical activity. Journal Zhejiang University Science B 2008; 9: 489–495.
23.Hagelberg, CR, Gamage, NKK. Application of structure preserving wavelet decompositions to intermittent turbulence: a case study. In: Foufoula-Georgiou, E, Kumar, P, eds. Wavelets in Geophysics. Academic Press, New York, 1994, pp. 45–80.
24.Chowell, G, et al. The spatial and temporal patterns of falciparum and vivax malaria in Peru: 1994–2006. Malaria Journal 2009; 8: 142.
25.Tomasino, M, Zanchettin, D, Traverso, P. Long-range forecasts of River Po discharges based on predictable solar activity and a fuzzy neural network model. Hydrological Sciences 2004; 49: 673–684.
26.Tian, J, Xu, J, Wei, E. The wavelet analysis of satellite sea surface temperature in the South China Sea and the Pacific Ocean. Chinese Science Bulletin 2000; 45: 2187–2192.
27.Kilian, AHD, et al. Rainfall pattern, El Nino and malaria in Uganda. Transactions of the Royal Society of Tropical Medicine and Hygiene 1999; 93: 22–23.
28.Mabaso, MLH, et al. El Nino Southern Oscillation (ENSO) and annual malaria incidence in Southern Africa. Transactions of the Royal Society of Tropical Medicine and Hygiene 2007; 101: 326–330.
29.Gill, CA. Malaria in England: with special reference to the role of temperature and humidity. Epidemiology & Infection 1921; 19: 320–332.
30.Wangdi, K, et al. Development of temporal modelling for forecasting and prediction of malaria infections using time-series and ARIMAX analyses: a case study in endemic districts of Bhutan. Malaria Journal 2010; 9: 251.
31.Huang, F, et al. Temporal correlation analysis between malaria and meteorological factors in Motuo County, Tibet. Malaria Journal 2011; 10: 54.
32.Ohtomo, K, et al. Relationship of cholera incidence to El Niño and solar activity elucidated by time-series analysis. Epidemiology & Infection 2010; 138: 99–107.