Assessment of Patterns of Climate Variables and Malaria Cases in Two Ecological Zones of Ghana

Nana Ama Browne Klutse^1*, Fred Aboagye-Antwi², Kwadwo Owusu³, Yaa Ntiamoa-Baidu⁴

¹Ghana Space Science and Technology Institute, Ghana Atomic Energy Commission, Accra, Ghana.
²Department of Animal Biology and Conservation Science, University of Ghana, Legon, Ghana.
³Department of Geography and Resource Development, University of Ghana, Legon, Ghana.
²⁴Centre for African Wetlands, University of Ghana, Legon, Ghana.

DOI: 10.4236/oje.2014.412065                

Abstract

Climate change is projected to impact human health, particularly incidence of water related and vector borne diseases, such as malaria. A better understanding of the relationship between rainfall patterns and malaria cases is thus required for effective climate change adaptation strategies involving planning and implementation of appropriate disease control interventions. We analyzed climatic data and reported cases of malaria spanning a period of eight years (2001 to 2008) from two ecological zones in Ghana (Ejura and Winneba in the transition and coastal savannah zones respectively) to determine the association between malaria cases, and temperature and rainfall patterns and the potential effects of climate change on malaria epidemiological trends. Monthly peaks of malaria caseloads lagged behind monthly rainfall peaks. Correlation between malaria caseloads and rainfall intensity, and minimum temperature were generally weak at both sites. Lag correlations of up to four months yielded better agreement between the variables, especially at Ejura where a two-month lag between malaria caseloads and rainfall was significantly high but negatively correlated (r = -0.72; p value < 0.05). Mean monthly maximum temperature and monthly malaria caseloads at Ejura showed a strong negative correlation at zero month lag (r = -0.70, p value < 0.05), with a similar, but weaker relationship at Winneba, (r = -0.51). On the other hand, a positive significant correlation (r = 0.68, p value < 0.05) between malaria caseloads and maximum temperature was observed for Ejura at a four-month lag, while Winneba showed a strong correlation (r = 0.70; p value < 0.05) between the parameters at a two-month lag. The results suggest maximum temperature as a better predictor of malaria trends than minimum temperature or precipitation, particularly in the transition zone. Climate change effects on malaria caseloads seem multi-factorial. For effective malaria control, interventions could be synchronized with the most important climatic predictors of the disease for greater impact.

Keywords

Malaria, Rainfall, Temperature, Climate Change, Ecological Zone

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	WHO (2013) WHO Global Malaria Programme, World Malaria Report. WHO Press, World Health Organization, Geneva.
[2]	Sachs, J. and Malaney, P. (2002) The Economic and Social Burden of Malaria. Nature, 415, 680-685. http://dx.doi.org/10.1038/415680a
[3]	van Lieshout, M., Kovats, R.S., Livermore, M.T.J. and Martens, P. (2004) Climate Change and Malaria: Analysis of the SRES Climate and Socioeconomic Scenarios. Global Environmental Change, 14, 87-99. http://dx.doi.org/10.1016/j.gloenvcha.2003.10.009
[4]	Tanser, F.C., Sharp, B.L. and Le Sueur, D. (2003) Potential Effect of Climate Change on Malaria Transmission in Africa. The Lancet, 362, 1792-1798. http://dx.doi.org/10.1016/S0140-6736(03)14898-2
[5]	Thomas, C.J., Davies, G. and Dunn, C.E. (2004) Mixed Picture for Changes in Stable Malaria Distribution with Future Climate in Africa. Trends in Parasitology, 20, 216-220. http://dx.doi.org/10.1016/j.pt.2004.03.001
[6]	Ebi, K.L., Hartman, J., Chan, N., McConnell, K.J., Schlesinger, M. and Weyant, J. (2005) Climate Suitability for Stable Malaria Transmission in Zimbabwe under Different Climate Change Scenarios. Climate Change, 73, 375-393. http://dx.doi.org/10.1007/s10584-005-6875-2
[7]	Bhattarai, A., Abdullah, S., Kachur, P., Martensson, A., Abbas, A., Khatib, R., Al-Mafazy, A., Ramsan, M., Rotlant, G., Gerstenmaier, J., Molteni, F., Salim, A., Montgomery, S., Kaneko, A. and Bjorkman, A. (2007) Impact of Artemisinin-Based Combination Therapy and Insecticide-Treated Nets on Malaria Burden in Zanzibar. PLoS Medicine, 4, e309. http://dx.doi.org/10.1371/journal.pmed.0040309
[8]	Teklehaimanot, H.D., Schwatrz, J., Teklehaimanot, A. and Lipsitch, M. (2004) Alert Threshold Algorithms and Malaria Epidemic Detection. Emerging Infectious Diseases, 10, 1220-1226. http://dx.doi.org/10.3201/eid1007.030722
[9]	Gupta, R. (1996) Correlation of Rainfall with Upsurge of Malaria in Rajasthan. Journal of the Association of Physicians of India, 44, 385-389.
[10]	Bouma, M.J., Dye, C. and van der Kaay, H.J. (1996) Falciparum Malaria and Climate Change in the Northwest Frontier Province of Pakistan. American Journal of Tropical Medicine and Hygiene, 55, 131-137.
[11]	Craig, M.H., Kleinschmidt, I., Le Sueur, D. and Sharp, B.L. (2004) Exploring 30 Years of Malaria Case Data in KwaZulu-Natal, South Africa: Part II. The Impact of Non-Climatic Factors. Tropical Medicine and International Health, 9, 1258-1266. http://dx.doi.org/10.1111/j.1365-3156.2004.01341.x
[12]	Aboagye-Antwi, F. and Tripet, F. (2010) Effects of Larval Growth Condition and Water Availability on Desiccation Resistance and Its Physiological Basis in Adult Anopheles gambiae Sensus Tricto. Malaria Journal, 9, 225. http://dx.doi.org/10.1186/1475-2875-9-225
[13]	van der Hoek, W., Konradsen, F., Perera, D., Amerasinghe, P.H. and Amerasinghe, F.P. (1997) Correlation between Rainfall and Malaria in the Dry Zone of Sri Lanka. Annals of Tropical Medicine and Parasitology, 91, 945-949.
[14]	De Alwis, R., Wijesundere, A., Ramasamy, M.S. and Ramasamy, R. (1990) Current Status of Malaria Research in Sri Lanka. In: Ramasamy, R., Ed., Epidemiology of Malaria in Aralaganvila in the Polonnaruwa District, Institute of Fundamental Studies, 80-84.
[15]	Bri?t, O.J.T., Vounatsou, P., Gunawardena, D.M., Galappaththy, G.N.L. and Amerasinghe, P.H. (2008) Temporal Correlation between Malaria and Rainfall in Sri Lanka. Malarial Journal, 7, 77. http://dx.doi.org/10.1186/1475-2875-7-77
[16]	MacDonald, G. (1957) The Epidemiology and Control of Malaria. Oxford University Press, London.
[17]	Paaijmans, K.P., Jacobs, A.F.G., Takken, W., Heusinkveld, B.G., Githeko, A.K., Dicke, M. and Holtslag, A.A.M. (2008) Observations and Model Estimates of Diurnal Water Temperature Dynamics in Mosquito Breeding Sites in Western Kenya. Hydrological Processes, 22, 4789-4801. http://dx.doi.org/10.1002/hyp.7099
[18]	Moreira, L.A., Wang, J., Collins, F.H. and Jacobs-Lorena, M. (2004) Fitness of Anopheline Mosquitoes Expressing Transgenes That Inhibit Plasmodium Development. Genetics, 166, 1337-1341. http://dx.doi.org/10.1534/genetics.166.3.1337
[19]	Munga, S., Minakawa, N., Zhou, G., Mushinzimana, E., Barrack, O.J., Githeko, A.K. and Guiyun, Y. (2006) Association between Land Cover and Habitat Productivity of Malaria Vectors in Western Kenyan Highlands. American Journal of Tropical Medicine and Hygiene, 74, 69-75.
[20]	Hay, S.I., Guerra, C.A., Tatem, A.J., Atkinson, P.M. and Snow, R.W. (2005) Tropical Infectious Diseases: Urbanization, Malaria Transmission, and Disease Burden in Africa. Nature Reviews Microbiology, 3, 81-90. http://dx.doi.org/10.1038/nrmicro1069
[21]	Krefis, A.C., Schwarz, N.G., Krüger, A., Fobil, J., Nkrumah, B., Acquah, S., Loag, W., Sarpong, N., Adu-Sarkodie, Y., Ranft, U. and May, J. (2011) Modeling the Relationship between Precipitation and Malaria Incidence in Children from a Holoendemic Area in Ghana. American Journal of Tropical Medicine and Hygiene, 84, 285-291.
[22]	Tay, S.C.K., Danuor, S.K., Mensah, D.C., Acheampong, G., Abruquah, H.H., Morse, A., Caminade, C., Badu, K., Tompkins, A. and Hassan, H.A. (2012) Climate Variability and Malaria Incidence in Peri-Urban, Urban and Rural Communities around Kumasi, Ghana: A Case Study at Three Health Facilities; Emena, Atonsu and Akropong. International Journal of Parasitology Research, 4, 83-89.
[23]	Craig, M.H., Snow, R.W. and Le Sueur D. (1999) A Climate-Based Distribution Model of Malaria Transmission in Sub-Saharan Africa. Trends in Parasitology, 15, 105-111. http://dx.doi.org/10.1016/S0169-4758(99)01396-4
[24]	Paaijmans, K.P., Read, A.F. and Thomas, M.B. (2009) Understanding the Link between Malaria Risk and Climate. Proceedings of the National Academy of Sciences of the United States of America, 106, 13844-13849. http://dx.doi.org/10.1073/pnas.0903423106
[25]	Paaijmans, K.P., Blanford, S., Bell, A.S., Blanford, J.I., Read, A.F. and Thomas, M.B. (2010) Influence of Climate on Malaria Transmission Depends on Daily Temperature Variation. Proceedings of the National Academy of Sciences of the United States of America, 107, 15135-15139. http://dx.doi.org/10.1073/pnas.1006422107
[26]	Jepson, W.F., Moutia, A. and Courtois, C. (1947) The Malaria Problem in Mauritius: The Bionomics of Mauritian Anophelines. Bulletin of Entomological Research, 38, 177-208. http://dx.doi.org/10.1017/S0007485300030273
[27]	Onori, E. and Grab, B. (1980) Indicators for the Forecasting of Malaria Epidemics. Bulletin of the World Health Organization, 58, 91-98.
[28]	Molineaux, L. (1988) The Epidemiology of Human Malaria as an Explanation of Its Distribution, Including Some Implications for Its Control. In: Wernsdorfer, W.H. and McGregor, I., Eds., Malaria, Principles and Practice of Malariology, Churchill Livingstone, New York, 913-998.
[29]	Lines, J., Harpham, T., Leake, C.J. and Schofield, C. (1994) Trends, Priorities and Policy Directions in the Control of Vector-Borne Diseases in Urban Environments. Health Policy and Planning, 9, 113-129. http://dx.doi.org/10.1093/heapol/9.2.113