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Malaria Research and Treatment
Volume 2017 (2017), Article ID 7820454, 8 pages
https://doi.org/10.1155/2017/7820454
Research Article

A Weather-Based Prediction Model of Malaria Prevalence in Amenfi West District, Ghana

1Department of Theoretical and Applied Biology, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
2Department of Biodiversity Conservation and Management, Faculty of Natural Resources and Environment, University for Development Studies, Nyankpala Campus, Tamale, Ghana

Correspondence should be addressed to Esther Love Darkoh

Received 14 October 2016; Accepted 15 January 2017; Published 31 January 2017

Academic Editor: Robert Novak

Copyright © 2017 Esther Love Darkoh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Kiszewski, A. Mellinger, A. Spielman, P. Malaney, S. E. Sachs, and J. Sachs, “A global index representing the stability of malaria transmission,” The American Journal of Tropical Medicine and Hygiene, vol. 70, no. 5, pp. 486–498, 2004. View at Google Scholar · View at Scopus
  2. J. Sachs and P. Malaney, “The economic and social burden of malaria,” Nature, vol. 415, no. 6872, pp. 680–685, 2002. View at Publisher · View at Google Scholar · View at Scopus
  3. World Health Organization, Malaria Report in Ghana, 2009, http://www.who.int/malaria/publications/country-profiles/2009/mal2009_ghana_0022.pdf.
  4. K. Gakpey, A. Baffoe-Wilmot, K. Malm, S. Dadzie, and C. Bart-Plange, “Strategies towards attainment of universal coverage of long lasting insecticide treated nets (LLINs) distribution: Experiences and lessons from Ghana,” Parasites and Vectors, vol. 9, no. 1, article 35, 2016. View at Publisher · View at Google Scholar · View at Scopus
  5. R. W. Snow, M. Craig, U. Deichmann, and K. Marsh, “Estimating mortality, morbidity and disability due to malaria among Africa's non-pregnant population,” Bulletin of the World Health Organization, vol. 77, no. 8, pp. 624–640, 1999. View at Google Scholar · View at Scopus
  6. A. Alemu, G. Abebe, W. Tsegaye, and L. Golassa, “Climatic variables and malaria transmission dynamics in Jimma town, South West Ethiopia,” Parasites and Vectors, vol. 4, article 30, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. Roll Back Malaria, “Climate change and Malaria,” 2015, http://www.google.com.gh/search?q=climate+change+and+malaria+2015.pdf&client=ms-opera-mini-android&channel=new&gws_rd=cr&ei=tUzUVrytJ8uIaMHmiMAF.
  8. M. Woube, “Geographical distribution and dramatic increases in incidences of malaria: consequences of the resettlement scheme in Gambela, SW Ethiopia,” Indian Journal of Malariology, vol. 34, no. 3, pp. 140–163, 1997. View at Google Scholar · View at Scopus
  9. T. A. Abeku, G. J. van Oortmarssen, G. Borsboom, S. J. de Vlas, and J. D. F. Habbema, “Spatial and temporal variations of malaria epidemic risk in Ethiopia: factors involved and implications,” Acta Tropica, vol. 87, no. 3, pp. 331–340, 2003. View at Publisher · View at Google Scholar · View at Scopus
  10. H. D. Teklehaimanot, M. Lipsitch, A. Teklehaimanot, and J. Schwartz, “Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia I. Patterns of lagged weather effects reflect biological mechanisms,” Malaria Journal, vol. 3, article 41, 2004. View at Publisher · View at Google Scholar · View at Scopus
  11. A. D. Kassa and B. B. Beyene, “Climate variability and malaria transmission—fogera district, Ethiopia, 2003–2011,” Science Journal of Public Health, vol. 2, no. 3, pp. 234–237, 2014. View at Publisher · View at Google Scholar
  12. W. Akpalu and S. N. A. Codjoe, “Economic analysis of climate variability impact on malaria prevalence: the case of Ghana,” Sustainability (Switzerland), vol. 5, no. 10, pp. 4362–4378, 2013. View at Publisher · View at Google Scholar · View at Scopus
  13. C. M. Mbogo, J. M. Mwangangi, J. G. Nzovu et al., “Spatial and temporal heterogeneity of Anopheles mosquitoes and Plasmodium falciparum transmission along the Kenyan coast,” The American Journal of Tropical Medicine and Hygiene, vol. 68, no. 6, pp. 734–742, 2003. View at Google Scholar · View at Scopus
  14. M. C. Thomson, S. J. Mason, T. Phindela, and S. J. Connor, “Use of rainfall and sea surface temperature monitoring for malaria early warning in Botswana,” The American Journal of Tropical Medicine and Hygiene, vol. 73, no. 1, pp. 214–221, 2005. View at Google Scholar · View at Scopus
  15. O. Ndiaye, J.-Y. le Hesran, J.-F. Etard et al., “Variations climatiques et mortalité attribuée au paludisme dans la zone de niakhar, sénégal de 1984 À 1996,” Santé, vol. 11, pp. 25–28, 2001. View at Google Scholar
  16. C. Christiansen-Jucht, P. E. Parham, A. Saddler, J. C. Koella, and M.-G. Basáñez, “Temperature during larval development and adult maintenance influences the survival of Anopheles gambiae s.s,” Parasites & vectors, vol. 7, 2014. View at Publisher · View at Google Scholar · View at Scopus
  17. Y. A. Afrane, A. K. Githeko, and G. Yan, “The ecology of Anopheles mosquitoes under climate change: case studies from the effects of deforestation in East African highlands,” Annals of the New York Academy of Sciences, vol. 1249, no. 1, pp. 204–210, 2012. View at Publisher · View at Google Scholar · View at Scopus
  18. A. K. Lohani, R. Kumar, and R. D. Singh, “Hydrological time series modeling: a comparison between adaptive neuro-fuzzy, neural network and autoregressive techniques,” Journal of Hydrology, vol. 442-443, pp. 23–35, 2012. View at Publisher · View at Google Scholar · View at Scopus
  19. E. A. Lawer, “Empirical modeling of annual fishery landings,” Natural Resources, vol. 07, no. 04, pp. 193–204, 2016. View at Publisher · View at Google Scholar
  20. T. A. Abeku, S. J. De Vlas, G. Borsboom et al., “Forecasting malaria incidence from historical morbidity patterns in epidemic-prone areas of Ethiopia: a simple seasonal adjustment method performs best,” Tropical Medicine and International Health, vol. 7, no. 10, pp. 851–857, 2002. View at Publisher · View at Google Scholar · View at Scopus
  21. A. Gomez-Elipe, A. Otero, M. van Herp, and A. Aguirre-Jaime, “Forecasting malaria incidence based on monthly case reports and environmental factors in Karuzi, Burundi, 1997–2003,” Malaria Journal, vol. 6, article 129, 2007. View at Publisher · View at Google Scholar · View at Scopus
  22. K. Wangdi, P. Singhasivanon, T. Silawan, S. Lawpoolsri, N. J. White, and J. Kaewkungwal, “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, vol. 9, 2010. View at Publisher · View at Google Scholar · View at Scopus
  23. A. C. Krefis, N. G. Schwarz, A. Krüger et al., “Modeling the relationship between precipitation and malaria incidence in children from a holoendemic area in Ghana,” American Journal of Tropical Medicine and Hygiene, vol. 84, no. 2, pp. 285–291, 2011. View at Publisher · View at Google Scholar · View at Scopus
  24. K. Zinszer, R. Kigozi, K. Charland et al., “Forecasting malaria in a highly endemic country using environmental and clinical predictors,” Malaria Journal, vol. 14, no. 1, article 245, 2015. View at Publisher · View at Google Scholar · View at Scopus
  25. Ministry of Local Government and Rural Development, “Amenfi West,” 2006, http://www.ghanadistricts.com/About-District-Details.aspx?distID=198&distName=Amenfi%20West.
  26. R. Halvorsen and R. Palmquist, “The interpretation of dummy variables in semilogarithmic equations,” The American Economic Review, vol. 70, no. 3, pp. 474–475, 1980. View at Google Scholar
  27. G. E. Box and G. M. Jenkins, Time Series Analysis, Forecasting and Control, Holden-Day, San Francisco, Calif, USA, 1970. View at MathSciNet
  28. G. M. Ljung and G. E. P. Box, “On a measure of lack of fit in time series models,” Biometrika, vol. 65, no. 2, pp. 297–303, 1978. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  29. R. F. Engle, “Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation,” Econometrica. Journal of the Econometric Society, vol. 50, no. 4, pp. 987–1007, 1982. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  30. D. Kwiatkowski, P. C. B. Phillips, P. Schmidt, and Y. Shin, “Testing the null hypothesis of stationarity against the alternative of a unit root: how sure are we that economic time series have a unit root?” Journal of Econometrics, vol. 54, no. 1–3, pp. 159–178, 1992. View at Publisher · View at Google Scholar · View at Scopus
  31. R. J. Hyndman and A. B. Koehler, “Another look at measures of forecast accuracy,” International Journal of Forecasting, vol. 22, no. 4, pp. 679–688, 2006. View at Publisher · View at Google Scholar · View at Scopus
  32. R. H. Shumway and D. S. Stoffer, Time series analysis and its applications, Springer Texts in Statistics, Springer, New York, NY, USA, 3rd edition, 2011. View at Publisher · View at Google Scholar · View at MathSciNet
  33. S. Jaffar, A. Leach, A. M. Greenwood et al., “Changes in the pattern of infant and childhood mortality in Upper River Division, The Gambia, from 1989 to 1993,” Tropical Medicine and International Health, vol. 2, no. 1, pp. 28–37, 1997. View at Publisher · View at Google Scholar · View at Scopus
  34. B. M. Greenwood and H. Pickering, “A malaria control trial using insecticide-treated bed nets and targeted chemoprophylaxis in a rural area of The Gambia, west Africa. 1. A review of the epidemiology and control of malaria in The Gambia, west Africa,” Transactions of the Royal Society of Tropical Medicine and Hygiene, vol. 87, supplement 2, pp. 3–11, 1993. View at Publisher · View at Google Scholar · View at Scopus
  35. D. Strickman, “Preliminary report of seasonal oviposition by Culex quinquefasciatus in San Antonio, Texas,” Mosquito News, vol. 43, pp. 226–230, 1983. View at Google Scholar
  36. W. K. Reisen, J. L. Hardy, S. B. Presser et al., “Mosquito and arbovirus ecology in southeastern California, 1986–1990,” Journal of Medical Entomology, vol. 29, pp. 512–524, 1992. View at Google Scholar
  37. S. L. Doggett, R. C. Russell, J. Clancy, J. Haniotis, and M. J. Cloonan, “Barmah Forest virus epidemic on the south coast of New South Wales, Australia, 1994-1995: viruses, vectors, human cases, and environmental factors,” Journal of Medical Entomology, vol. 36, no. 6, pp. 861–868, 1999. View at Publisher · View at Google Scholar · View at Scopus
  38. M. J. Hamel, K. Adazu, D. Obor et al., “A reversal in reductions of child mortality in Western Kenya, 2003–2009,” American Journal of Tropical Medicine and Hygiene, vol. 85, no. 4, pp. 597–605, 2011. View at Publisher · View at Google Scholar · View at Scopus
  39. H. Nkurunziza, A. Gebhardt, and J. Pilz, “Bayesian modelling of the effect of climate on malaria in Burundi,” Malaria Journal, vol. 9, article 114, 2010. View at Publisher · View at Google Scholar · View at Scopus
  40. T. F. Huang, S. Zhou, S. Zhang, H. Wang, and L. Tang, “Temporal correlation analysis between malaria and meteorological factors in Motuo County, Tibet,” Malaria Journal, vol. 10, article 54, 2011. View at Publisher · View at Google Scholar · View at Scopus
  41. M. E. Loevinsohn, “Climatic warming and increased malaria incidence in Rwanda,” The Lancet, vol. 343, no. 8899, pp. 714–718, 1994. View at Publisher · View at Google Scholar · View at Scopus
  42. M. B. Hoshen and A. P. Morse, “A weather-driven model of malaria transmission,” Malaria Journal, vol. 3, article 32, 2004. View at Publisher · View at Google Scholar · View at Scopus
  43. D. Ruiz, G. Poveda, I. D. Vélez et al., “Modelling entomological-climatic interactions of Plasmodium falciparum malaria transmission in two Colombian endemic-regions: contributions to a National Malaria Early Warning System,” Malaria Journal, vol. 5, article 66, 2006. View at Publisher · View at Google Scholar · View at Scopus
  44. K. P. Paaijmans, A. F. Read, and M. B. Thomas, “Understanding the link between malaria risk and climate,” Proceedings of the National Academy of Sciences of the United States of America, vol. 106, no. 33, pp. 13844–13849, 2009. View at Publisher · View at Google Scholar · View at Scopus
  45. Y. Kim and K. A. Schneider, “Evolution of drug resistance in Malaria parasite populations,” Nature Education Knowledge, vol. 4, no. 8, p. 6, 2013. View at Google Scholar
  46. T. O. Apinjoh, J. K. Anchang-Kimbi, R. N. Mugri et al., “The effect of Insecticide Treated Nets (ITNs) on Plasmodium falciparum infection in rural and semi-urban communities in the South West Region of Cameroon,” PLoS ONE, vol. 10, no. 2, Article ID e0116300, 2015. View at Publisher · View at Google Scholar · View at Scopus
  47. L. M. Beck-Johnson, W. A. Nelson, K. P. Paaijmans, A. F. Read, M. B. Thomas, and O. N. Bjørnstad, “The effect of temperature on Anopheles mosquito population dynamics and the potential for malaria transmission,” PLoS ONE, vol. 8, no. 11, Article ID e79276, 2013. View at Publisher · View at Google Scholar · View at Scopus
  48. K. A. Lindblade, E. D. Walker, A. W. Onapa, J. Katungu, and M. L. Wilson, “Land use change alters malaria transmission parameters by modifying temperature in a highland area of Uganda,” Tropical Medicine and International Health, vol. 5, no. 4, pp. 263–274, 2000. View at Publisher · View at Google Scholar · View at Scopus
  49. M. Van Lieshout, R. S. Kovats, M. T. J. Livermore, and P. Martens, “Climate change and malaria: analysis of the SRES climate and socio-economic scenarios,” Global Environmental Change, vol. 14, no. 1, pp. 87–99, 2004. View at Publisher · View at Google Scholar · View at Scopus
  50. T. Nkuo-Akenji, N. N. Ntonifor, M. B. Ndukum et al., “Environmental factors affecting malaria parasite prevalence in rural Bolifamba, South West Cameroon,” African journal of health sciences, vol. 13, no. 1-2, pp. 40–46, 2006. View at Google Scholar · View at Scopus
  51. J. I. Blanford, S. Blanford, R. G. Crane et al., “Implications of temperature variation for malaria parasite development across Africa,” Scientific Reports, vol. 3, article 1300, 2013. View at Publisher · View at Google Scholar
  52. United Nations Children's Fund, “UNICEF Ghana Fact Sheet Malaria; UNICEF: Accra, Ghana,” http://www.unicef.org/wcaro/WCARO_Ghana_Factsheet_malaria.pdf.