The Economic Costs of Malaria in South Africa
Malaria Control and the DDT Issue
Richard Tren
Malaria is one of the world's most serious tropical diseases and imposes very significant economic costs on some of the poorest nations on earth. This study estimates the direct and indirect costs of malaria to South Africa and examines the issues surrounding the use of DDT as an anti-malaria insecticide.
Early records of malaria cases by Europeans in the late 19th and early 20th centuries show that malaria was a severe inhibitor of economic development and caused large economic costs. The current malarial areas in South Africa today are about one fifth of the size they were at the beginning of the 20th century. The historical success in controlling malaria is due in very large part to the use of DDT in malaria vector control.
In recent years, however, there has been a sharp rise in the number of malaria cases in South Africa, and indeed throughout Southern Africa. This rise is due to a number of factors, such as high rainfall in recent years, increased migration and a reduction in the use of DDT in vector control. The rise in malaria cases imposes heavy costs on the local and national economies. The economic cost (direct costs include the costs of care and control of malaria, and indirect costs include the losses in productivity and lost future earnings from death) of malaria in South Africa is conservatively estimated to be around R124 million (US$20 million) in 1997/98. Malaria in selected Southern African countries could cost as much as US$1,000 million, or 4% of GDP in 1998. In South Africa, malaria usually occurs in rural areas with agricultural and labour intensive industries. The incidence of malaria in these areas has severe economic impacts and as in the past, continues to hamper economic development
For a number of reasons, DDT is being phased out of the malaria control programmes in South Africa. Numerous environmentalist organisations have lobbied strongly for the banning of DDT, despite the success of the insecticide in saving lives and preventing disease in developing countries. While DDT is not an ideal insecticide, it does have numerous advantages over the alternative insecticides and has a proven track record. Although DDT is currently used by a number of Southern African countries in malaria control programmes, the UNEP Governing Council is pressing for the banning of DDT and eleven other persistent organic pollutants (POPs).
The potential banning of DDT highlights a trend whereby environmental pressure from mostly developed countries imposes standards on developing countries where they are neither accepted nor appropriate. While there are alternatives to DDT, these are all more expensive and frequently more complicated to use than DDT. The banning of DDT would not only remove an important anti-malaria weapon, but will result in countless deaths and very significant economic costs (perhaps as much as US$480 million) on countries that can ill afford it.
Foreword: DDT is Still Needed for Malaria Control
Donald R. Roberts
Donald R. Roberts, Ph.D., has worked in the area of malaria vector ecology and malaria control for 32 years. He has conducted field studies in Southeast Asia, the Middle East and in several countries of the Americas. He has published over 80 peer-reviewed papers and holds one patent. In recent years his research has focused on applications of remote sensing and geographical information system technologies to the study and control of malaria. His research also has emphasised studies to elucidate actual functions of insecticide residues in controlling malaria. Dr. Roberts created the project and directed the early phase of research at the Walter Reed Army Institute of Research on enzyme-linked imunosorbent assays for detecting malaria sporozoites in Anopheles mosquitoes. He was also a principal participant in the research that led to incrimination of Culicoides paraensis as the vector of Oropouche virus in urban areas of the Amazon Basin.
Eliminating DDT: The Issues
The United Nations Environment Programme (UNEP) is negotiating a legally binding agreement for global elimination of DDT (UNEP, 1998), along with other persistent organic pollutants (POPs). Reports in the popular press suggest that global elimination of DDT is a lofty and desirable goal (Kirby 1999, Denyer 1999). However, modern trends of increasing malaria that accompanies decreasing numbers of DDT-sprayed houses reveal a devastating cost for DDT elimination (Mouchet et al 1997, Roberts et al 1997).
As will be shown later, DDT elimination has been an important goal of certain environmental groups and in the foreign policies of developed countries and in the politics of many UN organisations. The result of these policies and politics is that many developing countries have already been forced to abandon their public health use of DDT. Almost without exception, where this has occurred, malaria rates have increased (Figure 1). Today, if UNEP negotiations are successful in the unconditional banning of DDT, which is the intent; even more millions will suffer increased death and disease from malaria.
As stated by Heppner and Ballou (1998), "More cases of malaria are expected to occur in 1998 than in 1958.." This is a sobering assessment of our backward march to the pre-DDT era of rampant, uncontrolled malaria. The re-emergence of this highly preventable disease speaks to the limited role of poor countries and poor people in international politics. Even the fact that this disease has been allowed to re-emerge with limited international notice attests to the political invisibility of threatened populations.
The re-emergence of malaria in the Americas and declining use of DDT for control are illustrated in Figure 2. In 1959, the house spray rate of DDT for 21 countries of the Americas was 71.55 houses per 1,000 inhabitants. This rate was reduced 81% by 1989. Since 1989, most countries of the Americas have stopped using DDT and numbers of malaria cases are growing at unprecedented rates. The relationship between reduced numbers of houses sprayed with DDT and increased numbers of malaria cases is irrefutable (PAHO, 1991, 1994, 1997, Mouchet et al 1997, Roberts et al 1997).
Just as the pressures on developing countries to stop using DDT are diverse and multi-layered (discussed below), the arguments for and against DDT are diverse and multi-layered (see Taverne 1999). Some environmentalists argue that there are effective alternative insecticides and DDT is no longer needed. This argument ignores hopes of environmental groups to even stop the use of potential DDT alternatives, e.g., organophosphate and pyrethroid insecticides (Congressional Research Service Report, 1993 and World Wildlife Fund, 1998). As warned by the American Crop Protection Association in 1998 (Kenworth 1999), "..sooner or later, virtually all pesticides and pesticide uses will be jeopardised." Additionally, the environmentalist argument does not account for prohibitive costs of the alternative insecticides. The more naïve even argue that integrated vector management should replace use of all insecticides for malaria control (World Wildlife Fund, 1998). Unfortunately there are no cost-effective, broadly applicable methods of environmental management for malaria control. So, in reality, promoting the application of these methods is like promoting the use of a malaria vaccine when there is no vaccine. Some DDT opponents propose that predictions of increased disease are expected and are consistent with the unrealistic predictions that accompanied actions to eliminate other toxic substances, e.g., freon, Alar, chlordane, and use of DDT in agriculture. However, as shown in Figure 2, we do not need to wait for global elimination of DDT in order to know the end result. DDT elimination has been underway since the late 1970s and we know with certainty that numbers of malaria cases spiral out of control when endemic countries stop spraying internal house walls. In a recent US Environmental Protection Agency (EPA) Risk Assessment Forum Project (Crisp et al 1998), it was determined that "in a risk assessment paradigm for human health, relevant and adequate epidemiological studies and case reports for the agent(s) are preferable." Well, in the case of DDT and malaria control, the studies and case reports have been performed. Most endemic countries have experimented with alternatives to DDT and countries generally increase use of alternative insecticides when DDT is banned. Despite their use of alternative insecticides, rapidly increasing malaria is the legacy of DDT elimination. Increased malaria is probably due to some combination of factors, e.g., countries not being able to afford to spray a sufficient number of houses with more expensive insecticides and/or alternative insecticides not being as effective or not lasting long enough to bring about adequate levels of control.
Without doubt, the insecticide and pharmaceutical industries have received direct benefits from DDT elimination. The former industry has benefited because countries purchased more expensive insecticides and the latter benefited from selling more drugs to treat an ever-increasing number of malaria cases. Regardless of benefits that accrue to these industries, the wealthy multinational environmental groups, such as the World Wildlife Fund (WWF); Physicians for Social Responsibility (PSR); International Pesticide Action Network (PAN); International Organisation of Consumer Unions (IOCU); and the Environmental Liaison Center (ELC), who influence foreign policies of industrialised countries and UN organisations are the primary proponents for global DDT elimination (World Wildlife Fund, 1998 and Pan American Health Organisation, 1993). Additionally, United Nations organisations such as UNEP, the World Health Organisation (WHO), and Food and Agriculture Organisation (FAO) are full participants in this environmental agenda.
Although most knowledgeable people are concerned about environment issues, when the environmental agenda eliminates a critical public health tool, it is time to ask a number of questions, to include how large a public health price and who pays? Of the world's estimated 6.8 billion people, 4.4 billion live in developing countries. Within developing countries, 2.64 billion have no access to basic sanitation and 1.45 billion are without safe drinking water (United Nations Human Development Report of 1998). Unfortunately, a large proportion of these poor and disadvantaged people live in malaria endemic countries. The price for DDT elimination is already enormous and it is being paid in daily instalments of lost health and lost lives for hundreds of millions of the world's poorest and most disadvantaged people.
Role of the World Health Organisation
Over the years, WHO experts, WHO Expert Committees and WHO statistical reports have consistently shown that DDT is the most cost effective, and time-tested tool for preventing transmission of human malaria. These reports document, in the clearest of terms, how DDT freed 32% of the world's population from the risk of malaria, and for most of the last 50 years, how DDT continued to protect hundreds of millions of people in malaria endemic countries (Brown 1976, WHO 1984).
As unequivocally stated in a statistical report (WHO 1992) "...annual cost of programmes based on intradomiciliary spraying as the main intervention ranged from US$ 0.5-5 per capita of actually protected population. In most of these countries, DDT was the insecticide used, and a shift to alternative, more toxic and costly insecticides could lead to considerable increases." Also, WHO safety evaluations, as recent as 1993, have uniformly and consistently concluded that DDT is safe for humans and acceptable for use in malaria control (WHO 1994).
Yet, since 1979, WHO strategies have specifically de-emphasised use of house spraying for malaria control (Roberts et al . 1997). Discussions with malariologists in developed and developing countries alike and publications of prominent health workers suggest that a scientific explanation of the global strategies does not exist. Likewise there appears to be no consensus of support for WHO's de-emphasis of house spray programmes (Farid 1991 and Mouchet et al 1997).
In 1969, the great Venezuelan malariologist, Dr. Arnoldo Gabaldon, argued for establishing a WHO strategy that emphasised residual spraying of houses to maintain the successes of the eradication programme.
Changes in strategy are necessary - general public-health activities in hyperendemic areas are not effective in the presence of malaria; the funds they use might be better designated for efficient indoor residual spraying. (Litsios 1996)
Unfortunately, Dr. Gabaldon's arguments to WHO's Malaria Expert Committee were ignored and he subsequently disassociated himself from the 1969 report (Litsios 1996). In 1979 WHO adopted a new Control Strategy with four tactical variants. The causal link between decreasing numbers of sprayed houses and increasing malaria was ignored. The new strategy defined WHO's emphasis on curative measures and its unambiguous de-emphasis of preventive measures (WHO 1979, and Gilles and Warrell 1993). This strategy sent a clear and erroneous message to national programmes that DDT was not needed. De-emphasis of vector control measures was even more strongly worded in WHO's Global Malaria Control Strategy (GMCS) of 1992 (WHO 1993).
Pressure from WHO for changes in the organisational structure of malaria control programmes also obstructed continuation of house spray activities. The idea of placing malaria control in a primary health care organisational framework was formally presented to the World Health Assembly (WHA) in 1979 (WHO 1979). In 1985 the WHA adopted resolution 38.24 for incorporating vertically structured malaria control programmes into horizontally structured primary health care (PHC) systems (World Health Assembly 1985, and Gilles and Warrell 1993). A recent study by Thomson et al (1999) showed no significant difference in amount of malaria in children in villages with PHC services versus children in villages without PHC services.
Impact of Global Strategies
International assistance and political acceptability of malaria control programmes are generally contingent on compliance with WHO's global strategies. In other words, if a developing country wants external assistance, its proposal should comply with the WHO strategy and this means that vector control must be de-emphasised. Beyond this, assistance is often contingent on the specific non-use of DDT. For example, the US Agency for International Development (USAID) has invoked sections of the Foreign Assistance Act and USAID Regulation 16, published at 22 Code of Federal Regulations, Part 216 and USAID's pesticide procedures in section 216.3(b) for making decisions about foreign assistance to programmes in developing countries that used DDT for malaria control. The rationale is that DDT is not registered by the Environmental Protection Agency (EPA) for use in the US, consequently foreign assistance is not available to programmes that use DDT. This registration issue ignores the fact that DDT would not be registered by EPA because malaria is not a problem in the US. Also this interpretation ignores WHO's ruling that DDT is safe and effective for use in malaria control. Similar restrictions are employed by other industrialised countries to prevent continued use of DDT in developing countries.
The impact of these conditions is partly defined in the pace of countries abandoning DDT and, in some cases, all house-spray activities. In 1993, 8 of 11 malaria endemic countries of South America reported some low-level use of DDT for malaria control. French Guiana, Suriname and Guyana reported no spraying and were the most highly malarious countries of the Americas (PAHO 1994). In 1996, only Ecuador, Venezuela and Argentina reported use of DDT (PAHO 1997).
We should note that the early (pre-eradication) patterns of malaria response to house spray programmes in the Americas did not change during the eradication era. Where DDT had shown an ability to stop transmission, disease was eradicated, e.g., southern Brazil; but where transmission was not stopped, only variable levels of control were achieved, e.g., some countries of Central America and regions of the Amazon Basin.
We should also note that, just as the patterns of malaria response to DDT-sprayed houses did not change during the eradication programme, the same patterns held steady after eradication. So as house spray programmes declined, malaria rates increased and transmission reappeared in areas previously cleared of malaria. We should further note that these occurrences reflect a failure to use the chemical, not a failure of the chemical itself. During this time of increasing malaria, Mexico, Ecuador and Belize still used DDT to exert spectacular control over burgeoning malaria rates (Roberts et al 1997). Control was achieved in Mexico despite problems of vector resistance to DDT.
Reduced malaria rates in Mexico, Belize and Ecuador are in contrast to the increased numbers of malaria cases in many other countries of the Americas. In spite of their successes, Mexico and Ecuador were specifically identified for non-compliance with the GMCS in PAHO's 1997 report (PAHO 1997). Countries of Africa have also used DDT to exert renewed control over increasing malaria rates (Mouchet et al 1998).
One might argue that change has occurred; so now it is time to get on with the job of making WHO's global strategy a success. Unfortunately, the global strategy includes no broadly applicable and cost-effective preventive measures, so success is simply not possible. Emphasis on case treatment (the core tenet of the global strategy and the new 'roll back malaria' initiative) is laudable; but case treatment is basically curative, not preventive. Without doubt, de-emphasis of preventive measures has allowed the numbers of cases to increase in many rural and even urban environments.
Prior to the mid-1940s malaria was endemic in urban areas of the Amazon Basin. With the advent of DDT and organised house spray programmes, urban malaria largely disappeared. Unfortunately, persistent urban malaria is once again becoming a major health burden (Sandoval et al 1998, Guarda et al 1999).
The dichotomy of WHO's Malaria Expert Committee's consistent support for use of DDT versus WHO strategies that worked against use of house spray programmes suggest that global strategies have been political formulations unrelated to the opinions of malariologists or to health interests of people living in malaria endemic countries. In the international arena, defence of DDT for public health use is a WHO/PAHO responsibility. Overall, it is disappointing to examine how these organisations fulfil their responsibilities.
WHO's GMCS de-emphasises vector control measures. The more recent 'Role Back Malaria' initiative does not even mention the house spray approach to malaria control. The key negotiator for WHO's position on the DDT controversy is with the Panel of Experts on Environmental Management for Vector Control (PEEM). The PEEM was established in 1980 by FAO, UNEP and WHO to promote environmental management for vector control, i.e., to de-emphasise use of insecticides.
The Pan American Health Organisation has worked to obtain compliance of countries in the Americas with the GMCS. Unlike the WHO, PAHO has actually called for prohibition of continued DDT use for malaria control (PAHO, Division of Health and Environment 1994) and recommended that countries prohibit the purchase, distribution and use of DDT (PAHO 1993).
In 1995, a North American Commission for Environmental Cooperation (CEC) agreement forced Mexico to stop producing DDT and discontinue use of DDT for malaria control. The PAHO participated in the CEC meeting; but proceedings of that meeting reveal no PAHO defence for continued production or use of DDT. On the other hand, the Ministry of Health (MOH) of Mexico declared openly that DDT was an important and valuable component of its malaria control programme (Commission for Environmental Cooperation 1995). In spite of this, the government of Mexico signed the agreement. The signed agreement attests to the economical and political power of environmental movements within developed countries. The CEC agreement brings an end to the use of DDT for malaria control in Mexico and, more importantly, low cost availability of DDT for malaria control programmes throughout the Americas.
The Future
For certain, DDT is still needed for control of malaria. This does not mean that we should return to the wide scale use of DDT as employed during the eradication programme. Even today, formal WHO guidance for spraying houses is the same as employed in the eradication era (2 g of DDT/m2 of wall surface at intervals of 6 months). With research support, new and improved approaches to malaria control could have evolved from the wreckage of the eradication programme. For example, an annual or even semi-annual (bi-annual?) versus the standard 6-month spray cycle might have produced adequate levels of control in many environments (Rozendaal 1990, Roberts and Alecrim 1991). If effective, this change alone would have reduced amount of insecticide used in some control programmes by 50% or more. Partial spraying of houses might have produced control comparable to complete wall coverage (Casas et al 1998). Today, geographical information system and remote sensing technologies can be used to more accurately define risk factors and categorise houses by risk of malaria (Beck et al 1994, Pope et al 1994, Rejmankova et al 1995, Roberts et al 1995, Rejmankova et al 1998, Thomson et al 1999). Even in rural endemic areas, not all households are at equal risk of malaria transmission and we now have the technologies for accurately prioritising spray operations to increase the cost-effectiveness of limited malaria control resources.
Conclusion
In summation, there is hope for more cost-effective uses of DDT and other insecticides for malaria control. However, we are presently confronted by a global environmental agenda that opposes a major public health need. On the environmental side there is a clearly defined plan for DDT elimination through UNEP negotiations. On the public health side, there is no operable plan for controlling the current global epidemic of malaria or for controlling malaria once DDT is eliminated. So today, with malaria control positioned in organisational structures that are not compatible with vector control programmes; guided by strategies that de-emphasise vector control measures; pressured economically and politically by environmental groups and developed countries to eliminate use of DDT; combined with the political force of ongoing UNEP negotiations, the malaria endemic countries are experiencing an unmitigated disaster as numbers of malaria cases increase at unprecedented rates.
Need for Public Health Advocacy
Public health advocacy is needed to bring about an open debate of the DDT and malaria control issues. The outcome of such a debate is critical to hundreds of millions of people in malaria endemic countries. Public health professionals should not accede these issues to the exclusive domain of UN organisations, environmental groups and foreign policies of industrialised countries.

Figure 1. Standardized annual parasite indexes (IPAs) and house spray rates (HSRs) for 21 countries of the Americas, 1959-1995. Major changes in global malaria control strategies are depicted with arrows along the x-axis (WHA 31.45 for 1979; WHA 38.24 for 1985; and the Global Malaria Control Strategy for 1992). Block A represents a period of malaria control by spraying adequate numbers of houses with insecticide residues (primarily DDT). Block B represents a period of increasing malaria as the house-spray rates declined below effective levels. Open circles represent house-spray rates and solid squares represent standardized annual parasite indexes. (Graph copied from Roberts et al 1997)

Figure 2. Increases in annual parasite indexes for four categories of countries, South America, 1993-1995. For each country, the populations at moderate to high risk for malaria were adjusted to midyear (1994) values. (Graph copied from Roberts et al 1997)
Bibliography
Beck, L., M. Rodriguez, S. Dister, M. Rodriguez, E. Rejmankova, Ulloa, Meza, D. Roberts, J. Paris, M. Spanner, R. Washino, C. Hacker, L. Legters. (1994) Remote sensing as a landscape epidemiological tool to identify villages at high risk for malaria transmission. Amer. J. Trop. Med & Hyg 51(3): 271-280.
Brown ,A.W.A., J. Haworth, A.R. Zahar. (1976) Malaria eradication and control from a global standpoint. J Med Entomol 13:1.
Casas, M., J.L. Torres, D.N. Bown, M.H. Rodriguez, J.I. Arredondo-Jimenez. (1999) Selective and conventional house-spraying of DDT and bendiocarb against Anopheles pseudopunctipennis in southern Mexico. J. Am Mosquito Control Assoc. 14(4):410-420.
Commission for Environmental Cooperation. (1995) North American Regional Action Plan on DDT. Task Force on DDT and Chlordane. Second Draft, 10 October 1996. Appendix A: Presentation by the Ministry of Health, Mexico. Presented by Mexico (Document IFCS/EXP POPs 11) on June 14, 1996.
Congressional Research Service Report. (1993) The Delaney Dilemma: Regulating Pesticide residues in foods--Seminar Proceedings, March 12, 1993. (See report of Natural Resources Defence Council, pages 8 and 9) Available through the Committee for the National Institute for the Environment, Washington, DC
Crisp, T.M., E.D. Clegg, R.L. Cooper, W.P. Wood, D.G. Anderson, K.P. Baetcle. K. L. Hoffmann, M.S. Morrow, D.J. Rodier, J.E. Schaeffer, L.W. Touart, M.G. Zeeman, and Y.M. Patel. (1998) Environmental endocrine disruption: An effects assessment and analysis. Envir. Health Perspectives 106 (Supplement 1):11-56.
Denyer, S. (1999) Wildlife body says DDT endangers human health. Science Headlines, Reuters, January 27.
Farid, M.A. (1991) Views and reflections on anti-malaria programmes in the world. Kaohsiung J Med Sci 7:243-255.
Gilles, H.M., D.A. Warrell. (1993) Bruce-Chwatt's essential malariology. Boston, Edward Arnold.
Heppner, D.G and W.R. Ballou. (1998) Malaria in 1998: advances in diagnosis, drugs and vaccine development. Current Opinion in Infectious Diseases 11:519-530.
Kenworthy, T. (1999) A pesticide balancing act: Farmers fear loss of weapons against pests. The Washington Post, August 2, 1999:A1 and A8.
Kirby, A. (1999) Ban DDT says wildlife group. BBC News, 27 January.
Mouchet J, S. Manguin S., Sircoulon J., Laventure S., Faye O., Onapa A.W., Carnevale P, Julvez J and Fontenille D. (1998) Evolution of malaria in Africa for the past 40 years: impact of climatic and human factors. J Amer Mosquito Control Assoc. 14(2):121-130.
Mouchet, J., S. Laventure, S. Blanchy, R. Tioramonti, A. Rakotojanabelo, P. Rabarison, J. Sircoulon and J. Roux. (1997) La reconquete des Hautes-Terres de Madagascar par le paludisme. Bull Soc Pathol Exot 90:162-168.
Pan American Health Organisation. (1997) Status of malaria programmes in the Americas. XLV Report. PAHO, Washington, D.C.;25 pp.
Pan American Health Organisation, Division of Health and Environment. (1994) Prohibition of DDT: Recommendation by the Division of Health and Environment, Pan American Health Organisation, Washington DC 20037-2897, USA. Med Vet Entomol 8(113):164-165.
Pan American Health Organisation. (1994) Status of malaria programmes in the Americas. XII Report. PAHO, Washington, D.C.;112 pp.
Pan American Health Organisation. (1993) Pesticides and health in the Americas. Washington, DC: 109 pp.
Pan American Health Organisation. (1991) Status of malaria programmes in the Americas. XL Report. Washington, D.C.;145 pp.
Pope, K., E. Rejmankova, H. Savage, A. Jimenez, M. Rodriguez, D. Roberts. (1994) Remote sensing of tropical wetlands for malaria control in Chiapas, Mexico. Ecological Applications 4(1): 81-90.
Rejmankova, E., D. Roberts, A. Pawley, S. Manguin and J. Polanco. (1995) Predictions of adult Anopheles albimanus densities in villages based on distances to remotely sensed larval habitats. Am. J. Trop Med. Hyg. 53(5):482-488.
Rejmankova, E., K. Pope, D. Roberts, M. Lege, R. Andre, J. Greico and Y. Alonzo. (1998) Characterization and detection of Anopheles vestitipennis and Anopheles punctimacula (Diptera: Culicidae) larval habitats in Belize with field survey and SPOT satellite imagery. J Vect. Ecology 23(1): 74-88.
Roberts D.R., Laughlin LL, Hsheih P, Legters LJ. (1997) DDT, global strategies, and a malaria control crisis in South America. Emerg Inf Dis;3:295-302.
Roberts, D.R. (1998) Resurgent malaria: DDT and global control. US Med;34:36,38.
Roberts, D., J. Paris, S. Manguin, R. Harbach, R. Woodruff, E. Rejmankova, J. Polanco, Wullschleger, L. Legters. (1995) Predictions of malaria vector distributions in Belize using multispectral satellite data. Amer. J. Trop. Med. & Hyg. 54(3):304-308.
Roberts, D.R., W.D. Alecrim. (1991) Behavioral response of Anopheles darlingi to DDT-sprayed house walls in Amazonia. Bull Pan Am Health Organ 25:210-217.
Rozendaal, J.A. 1990. Epidemiology and control of malaria in Suriname. ICG Printing b.v., Dorbrecht. 172 pp.
S. Litsios, 1996. The tomorrow of malaria, Pacific Press, 181pp.
Sandoval, J.J.F., R. Diniz, et al . Histórico da malária na cidade de Manaus e proposta de controle integrado. Rev Soc Bras Med Trop 1998;31, Suplemento 1:141.
Taverne, J. (1999) DDT-to ban or not to ban? Parasitology Today 15(5):180-181.
Thomson, M.C., S.J. Connor, U.D'Alessandro, B. Rowlingson, P. Diggle, M. Cresswell, and B. Greenwood. 1999. Predicting malaria infection in Gambian children from satellite data and bed net use surveys: the importance of spatial correlation in the interpretation of results. Amer J Trop Med Hyg 61(1):2-8.
UNEP (1998). In response to the United Nations Environment Programme Governing Council, an Intergovernmental Negotiating Committee for an International Legally Binding Instrument for Implementing International Action on Certain Persistent Organic Pollutants was initiated in June 1998. This ongoing process is a result of the 1995 international agreement on a Global Programme of Action for the Protection of the Marine Environment from Land-Based Activities.
United Nations Human Development Report of 1998.
World Health Organisation, Malaria Unit. (1994) Use of DDT in vector control. Conclusions of study group on vector control for malaria and other mosquito-borne disease, 16-24 November 1993. Med Vet Entomol 8:113.
World Health Organisation. (1993) Implementation of the global malaria control strategy. World Health Organisation Tech Rep Ser no. 839.
World Health Organisation. (1992) World health statistics annual. WHO. Geneva p.17: 349 pp.
World Health Organisation. (1984) Chemical methods for the control of arthropod vectors and pests of public health importance. WHO, Geneva.
World Health Organisation. (1979) Seventeenth Report, WHO Expert Committee on Malaria. World Health Organisation Tech Rep Ser ; No. 640.
World Wildlife Fund. (1998) Resolving the DDT dilemma: protecting biodiversity and human health. Toronto, Canada: WWF-Canada; 1998.
The Economic Costs of Malaria in South Africa
Malaria Control and the DDT Issue
Richard Tren
Acknowledgements
I am indebted to the following for their kind support, advice and information, without which this report would not have been possible: Roger Bate, Henk Bouwman, Ian Cooper, Colleen Fraser, Frank Hansford, Kelvin Kemm, Kobus La Grange, Danette Lombard, Lorraine Mooney, Jotham Mthembu, and Justin Wilkins.
About the Author
Richard Tren is an economist, specialising in environmenal and natural resource issues. He was born and grew up in South Africa, but received most of his higher education in the UK. After reading economics at St.Andrews University in Scotland he went on to study at L'Universita Luigi Bocconi in Milan in 1993 and then worked in financial sector in London for two years. Mr. Tren then obtained his MSc in Environmental and Resource Economics from University College London and then returned to South Africa where he has since worked on a wide range of research projects. Mr. Tren has worked on several water resource projects for research institutions and for the South African government. He has recently become a Research Fellow of the Environment Unit at the institute of Economic Affairs.
Introduction
Malaria is one of the most serious tropical diseases in the world and has been a health risk to humanity for many generations. Diseases referred to as deadly fevers, likely to be malaria, have been documented for thousands of years. Malaria was a very widespread disease, covering many areas of Europe, North America, South America, Asia and Africa.
It was only in 1897 that Dr. Ronald Ross of the British army, discovered the complex life cycle of the malaria parasite. Ross proved the link between the parasite of the genus Plasmodium that causes malaria and the Anopheles mosquito. Prevention of malaria had until this time concentrated mainly on the treatment of malaria patients, usually with the quinine. The discovery of the role that the Anopheles mosquito plays in the lifecycle of the malaria parasite led to arguably the most effective way of dealing with the disease - attacking the malaria vector, the Anopheles mosquito.
Vector control programmes began in earnest in the 1950s and saw the eradication of malaria in Europe and North America and dramatically reduced the incidence of malaria in many tropical countries in Asia, Africa and South America. These vector control programmes relied mainly on the pesticide, DDT, which proved to be remarkably effective in controlling the disease. In 1969 however, WHO abandoned its attempts to eradicate malaria globally, leaving many developing countries, particularly those in Sub-Saharan Africa with considerable problems associated with the disease.
Currently, malaria burdens mainly poor countries and causes between 300 and 500 million episodes of acute illness globally every year. Not only does malaria affect the poor, it is an important factor in ensuring that many countries and communities remain poor and is a major impediment to progress, particularly in Africa. This paper estimates some of the economic costs of malaria in South Africa and assesses the potential impacts of a ban of one of the most effective weapons against malaria, DDT.
2. Methodology
An outbreak of malaria carries with it two categories of costs or damages. The first category consists of morbidity and mortality costs, which are made up of productivity losses through lost time and in the case of death, lost future earnings. The second category consists of the costs associated with taking action to avert and to treat the illness. This paper will attempt to measure each of these categories of costs in order to arrive at an estimate of the economic costs of an outbreak of malaria.
Perhaps the most rigorous economic method of valuing the economic costs of an illness is to measure the willingness to pay (WTP) to avoid illness, or the willingness to accept compensation (WTAC) as a result of the illness. Social benefits, or social welfare is made up of the sum of individual's willingness to pay for (or to avoid) change. Illness affects social welfare through the individual's inability to work and to contribute to social welfare. The impact of lost work affects not only the individual, but also the employer, the customers and the rest of society.
To estimate the different impacts on employers, individuals and customers would be extremely complicated, therefore it will be assumed that the interests of the individual are identical to that of the employer and customer. It will be assumed that each malaria sufferer is self-employed and therefore the losses in pre-tax income will be an adequate estimation of the social value of lost work.
Evaluating individuals' preferences towards illness may be a more rigorous approach to establishing the economic costs of a disease, however it relies on detailed information and primary data collection. Because of the time limits to this paper, no attempt will be made to estimate the WTP or WTAC to avoid disease. Rather a cost of illness (COI) approach will be adopted. This will estimate the social losses through lost work and the cost of treating malaria.
These costs will consist of:
(Paul and Mauskopf, 1991 - quoted in Pegram, G.C., Rollins, N., Espey, Q. 1998)
Lack of data will preclude the estimation of all of these costs, however as far as possible, all of these costs will be taken into account.
3. Malaria Incidence in South Africa
Nineteenth century European pioneers and travellers into the Northern Province, Mpumalanga and northern Kwazulu Natal soon recognised the threat and serious impact that malaria could have. Little data is available on the incidence of malaria at this time, however specific studies into the disease in the early twentieth century has shown the devastating effect that the disease had on the economy.
In South Africa, malaria is now only found in the low altitude areas of the Northern Province, Mpumalanga and the north east of Kwazulu Natal Province. The fact that the disease is contained to these areas is due in large part to the vector control programmes, which began in earnest after the Second World War. Prior to this, malaria occurred in much of the North West Province, areas of Gauteng (including Pretoria), much of Kwazulu Natal and even in the Northern Cape - an area five times larger than the area of its present distribution.
In 1905 a malaria epidemic in Durban alone resulted in 4 177 cases and 42 deaths and subsequent epidemics in Kwazulu-Natal and the lowveld (low altitude areas) of the Northern Province and Mpumalanga frequently brought economic activities to a standstill. Because of the changing socio-economic conditions of the country at the time, the impact of malaria was extremely severe. At this time, many labourers were brought into malarial areas to work on railway lines and to develop agricultural areas. Many of these labourers came from non-malarial areas and therefore had no immunity to the disease.
In 1932, malaria incidence extended as far south as Port St. Johns on the Eastern Cape coast, with a reported 22 132 deaths of malaria in Kwazulu Natal for 1932 alone when the population was only 1 819 000, representing a mortality rate of 1.2%. Malaria incidence in the Northern Province and Mpumalanga (then the Transvaal Province) was equally severe during this period. During April 1928 a survey found that 62% of Europeans and 74% of Natives (original terminology) in Rustenburg and Nylstroom were suffering from malaria (Dept of Health, 1997). Heavy rains in 1939 caused a number of outbreaks of malaria, one of the most severe occurring in the Oliphants valley and Sekhukhuneland (Northern Province). This outbreak led to the deaths of 9 311 people out of a population of 1 108 800 (0.8% mortality rate) which devastated farming and economic activities. (Dept. of Health, 1997)
Since the advent of the use of DDT in the vector control programmes (to be described in more detail below) after the Second World War, outbreaks of malaria have not been as serious, nor have they led to the number of deaths as witnessed prior to this period. The combination of agricultural and industrial development in the malarious areas during the 1960s and 70s with the increased concentrations of people in the homeland areas caused a general increase in the number of malaria cases.
A number of severe outbreaks in South Africa occurred following wet summers. One such outbreak in 1953 in the then Transvaal caused the number of infections to increase to 700 and varied from 104 to 251 during the three subsequent years. (Dept of Health, 1997)
Specific data for the number of cases and deaths as a result of malaria have only been kept since 1971 and are presented below. Of the approximate 40 million population of South Africa, 10%, or 4 million people live in a malaria risk area.
Table 1: Annual number of notified cases and deaths from malaria (1971 - 1998)
|
Year |
Cases |
Deaths |
|
1971 |
364 |
5 |
|
1972 |
1 792 |
23 |
|
1973 |
331 |
12 |
|
1974 |
1 623 |
16 |
|
1975 |
1 821 |
4 |
|
1976 |
1 747 |
6 |
|
1977 |
3 513 |
1 |
|
1978 |
7 103 |
36 |
|
1979 |
2 022 |
12 |
|
1980 |
3 109 |
10 |
|
1981 |
2 343 |
9 |
|
1982 |
2 184 |
13 |
|
1983 |
2 130 |
13 |
|
1984 |
4 642 |
19 |
|
1985 |
11 358 |
32 |
|
1986 |
7 491 |
20 |
|
1987 |
10 374 |
10 |
|
1988 |
9 317 |
48 |
|
1989 |
7 055 |
30 |
|
1990 |
6 822 |
35 |
|
1991 |
4 693 |
19 |
|
1992 |
2 872 |
14 |
|
1993 |
13 285 |
45 |
|
1994 |
10 289 |
12 |
|
1995 |
8 750 |
44 |
|
1996 |
27 035 |
163 |
|
1997 |
23 120 |
104 |
|
1998 |
26 382 |
197 |
|
1999 (up to and including March) |
15 819 |
92 |
Source: Department of Health, Pretoria
There has been a noticeable increase in the number of cases of, and deaths from malaria in recent years. Heavy rains have been experienced throughout South Africa and particularly in the low altitude malarial areas in the last three years. A study performed in the malarial areas showed that for one research station, Makatini, the rainfall and malaria cases were well correlated (r = 0.913, P<0.001), however the relationship for another research station, Ndumu, was far less well correlated (r = 0.643, P>0.05). (Sharp B. et al, 1988). While anecdotal evidence would suggest that the incidence of malaria and rainfall are very closely correlated, research suggests that this relationship is more complex.
Sharp et al, 1988 estimated that for the period between 1976 and 1985, imported malaria cases (mostly from Mozambique) accounted for 19% of the total cases. With the democratic changes in South Africa and the more relaxed policy towards border control, imported cases could account for a significant proportion of the total number of cases. Geographic Information Systems (GIS) for Kwazulu-Natal show markedly increased levels of malaria along the main corridors travelled by Mozambicans through Kwazulu-Natal from the southern border of Mozambique. (pers. comm. Jotham Mthembu, Kwazulu Natal Dept. of Health) Migration from other Southern African countries, such as Zimbabwe, Botswana and Malawi could account for some of the increase in malaria cases in recent years.
A change in the vector control programme, away from the use of DDT, which historically has been extremely successful in malaria control, towards synthetic pyrethroids could also account for some of the increase in malaria cases. A more detailed discussion of DDT and the vector control programme is given below. It is not within the scope of this paper to model the changes in malaria incidence with these factors, however it is accepted that the increases in malaria incidence in South Africa is due to a combination of them. (pers. comm. Danette Lombard, National Dept. of Health)
Age and Gender Analysis of Malaria Cases
In order to accurately estimate the economic impacts of malaria, it is important to know the age groups of malaria sufferers. If malaria occurs mainly in the working population (between the ages of 15 and 65) the disease is likely to incur far higher economic costs than if the disease affects only small children or only the elderly.
Table 2 gives a summary of the percentages of malaria cases within each age group for 1996, 1997 and 1998. In each case, the majority of the malaria cases were in the economically active age group of 15 years to 64 years. The percentages range from a low of 58.02% in 1997 to 62.75% in 1996. A large proportion (as much as 40.51% in 1998) of malaria cases was found in patients below the age of 15 indicating the heavy burden the disease places on children of school going age. Approximately 2.5% of malaria cases were found in people over the age of 65 in 1997 and 1998 and a slightly lower figure of 2.05% in 1996.
Table 2: Age breakdown of malaria cases, South Africa, 1996, 1997 & 1998*
|
|
1996 |
1997 |
1998 |
|||||
|
Age Group |
Number of Cases |
% cases of total |
Number of Cases |
% cases of total |
Number of Cases |
% cases of total |
||
|
0 to 4 years |
2 281 |
9.54 |
2 079 |
10.13 |
2 419 |
10.69 |
||
|
4 to 9 years |
3 046 |
12.74 |
2 854 |
13.91 |
3 218 |
14.22 |
||
|
10 to 14 years |
3 073 |
12.86 |
3 077 |
15.00 |
3 495 |
15.45 |
||
|
15 to 19 years |
4 485 |
18.76 |
3 006 |
14.65 |
3 053 |
13.49 |
||
|
20 to 24 years |
2 572 |
10.76 |
2 307 |
11.24 |
2 378 |
10.51 |
||
|
25 to 29 years |
2 063 |
8.63 |
1 741 |
8.49 |
1 898 |
8.39 |
||
|
30 to 34 years |
1 603 |
6.71 |
1 233 |
6.01 |
1 408 |
6.22 |
||
|
35 to 39 years |
1 307 |
5.47 |
1 142 |
5.57 |
1 327 |
5.86 |
||
|
40 to 44 years |
876 |
3.66 |
784 |
3.82 |
886 |
3.92 |
||
|
45 to 49 years |
811 |
3.39 |
633 |
3.09 |
702 |
3.10 |
||
|
50 to 54 years |
527 |
2.20 |
431 |
2.10 |
507 |
2.24 |
||
|
55 to 59 years |
426 |
1.78 |
347 |
1.69 |
370 |
1.64 |
||
|
60 to 64 years |
328 |
1.37 |
279 |
1.36 |
354 |
1.56 |
||
|
65 to 69 years |
271 |
1.13 |
276 |
1.35 |
336 |
1.48 |
||
|
70 to 74 years |
136 |
0.57 |
150 |
0.73 |
129 |
0.57 |
||
|
75 to 79 years |
50 |
0.21 |
55 |
0.27 |
63 |
0.28 |
||
|
> 80 years |
32 |
0.13 |
29 |
0.14 |
51 |
0.23 |
||
|
Total |
23 903 |
100 |
20 517 |
100 |
22 628 |
100 |
||
Source: Medical Research Council
*
Includes data for Northern Province, Mpumalanga and only Northern Kwazulu-Natal. Does not included data for malaria cases outside the three malaria provincesThis age breakdown of malaria cases closely corresponds to the demographic data for the province detailed in Table 3, which gives a age breakdown of the total populations of the three malaria provinces based on the 1996 census. Of the three provinces, approximately 40% of total residents were below the age of 15 and approximately 4.5% of residents were over the age of 65. About 55% of the provinces' residents were between the ages of 15 and 65. This demonstrates how closely the ages of malaria patients correspond to the general age profile of the provinces. It is important to note that the malarial areas form only a part of the total provinces, however there is no reason to believe that the general age breakdown of the malarial areas will differ significantly from the age profile of the provinces as wholes.
Table 3: Summary breakdown of malaria cases age groups, South Africa, 1996, 1997 and 1998
|
Age Group |
Percentage within each group |
||
|
|
1996 |
1997 |
1998 |
|
0 - 14 |
35.21 |
39.50 |
40.51 |
|
15 - 64 |
62.75 |
58.02 |
56.93 |
|
65 and older |
2.05 |
2.49 |
2.56 |
|
Total |
100 |
100 |
100 |
Source: Medical Research Council
Table 4: Total population age distribution in five-year intervals by malaria province, 1996
|
Age Group |
Northern Province |
Kwazulu-Natal |
Mpumalanga |
|
0 to 4 years |
646 880 |
964 546 |
326 049 |
|
4 to 9 years |
725 137 |
1 002 945 |
338 304 |
|
10 to 14 years |
708 069 |
1 018 217 |
336 576 |
|
15 to 19 years |
598 061 |
914 304 |
298 126 |
|
20 to 24 years |
452 966 |
851 952 |
278 970 |
|
25 to 29 years |
327 048 |
684 674 |
236 320 |
|
30 to 34 years |
276 249 |
590 584 |
210 960 |
|
35 to 39 years |
230 799 |
504 757 |
174 232 |
|
40 to 44 years |
185 605 |
408 925 |
143 256 |
|
45 to 49 years |
147 688 |
337 932 |
105 393 |
|
50 to 54 years |
110 393 |
248 877 |
75 219 |
|
55 to 59 years |
105 909 |
212 752 |
62 586 |
|
60 to 64 years |
95 180 |
178 471 |
48 205 |
|
65 to 69 years |
100 441 |
158 207 |
45 260 |
|
70 to 74 years |
56 409 |
95 372 |
26 875 |
|
75 to 79 years |
55 466 |
68 571 |
24 500 |
|
> 80 years |
43 888 |
54 423 |
18 654 |
|
Unspecified |
63 181 |
118 512 |
49 227 |
|
Total |
4 929 368 |
8 417 021 |
2 800 711 |
Source: Census 1996, Statistics South Africa.
From the census data presented in table 4, it is possible to estimate the relative risks faced by residents in each of the three malarial provinces. By dividing the number of malaria cases in each province by the population (as measured in 1996) an incidence risk for each province is arrived at.
Table 5: Risk ratios for the malaria provinces*
|
Province |
1996 |
1997 |
1998 |
|
Northern Province |
0.0011 |
0.0009 |
0.0009 |
|
Kwazulu-Natal |
0.0010 |
0.0012 |
0.0014 |
|
Mpumalanga |
0.0036 |
0.0021 |
0.0023 |
*
Each ratio is multiplied by 100.
From table 5 it is clear that the risk of infection in Mpumalanga is between 2.6 and 3.4 times higher than in the Northern Province and between 1.6 and 3.4 times higher than Kwazulu-Natal. The higher risk in Mpumalanga could be due to a number of factors, such as climatic differences, or perhaps because of different approaches in the malaria control programme adopted in each of the provinces.
Malaria has never been known to affect either gender more severely and therefore it is assumed that the parasite attacks males and females equally. (pers. comm. Dr. Frank Hansford, Northern Province Dept. of Health) Data from Mpumalanga province shows that the number of cases in males and females is fairly evenly divided, with 44% of cases occurring in females and 55% in males in 1997. The breakdown is more equal in 1998, with 52% female cases and 48% male cases. Traditionally, the role of women in rural areas would have been to care for children and to produce agricultural produce from small household plots or tribal land. With general economic changes and particularly the increased importance of the tourism industry in the malarial areas, women are now playing a more active role in the formal economy. Because of this, no distinction is made between the genders of malaria patients with regard to lost productivity.
Active and Passive Malaria Cases
The provincial departments of health record two broad types of malaria cases, namely active cases and passive cases. Malaria control personnel, who regularly visit households in malarial areas in order to detect cases, record active cases. This active detection of cases involves inquiring about residents with illnesses resembling malaria and taking blood smears from them. Active detection is essential in identifying uncomplicated or mild malaria, particularly in areas where curative health services are not available. Those suffering from uncomplicated malaria are often treated immediately and if someone is found to be suffering from severe or complicated malaria, arrangements are made to transport them to clinics or hospitals.
Passive detection involves the diagnosis and reporting of malaria cases by health personnel at prevention and curative facilities. Again blood smears are taken and laboratories confirm the diagnosis. It is important to note that the reported number of malaria cases is made up only of those cases that are confirmed by taking blood smears. It is highly likely therefore that the true number of malaria cases is higher than reported by the Department of Health. (pers. comm. Danette Lombard, National Dept. of Health)
Because of the nature of active and passive cases of malaria, it would be reasonable to assume that in general, active cases are made up of mild or uncomplicated malaria, as the sufferer has not found it necessary to go directly to a curative facility. Those passive cases, where the sufferer has gone directly to the curative facility can be assumed to be severe or complicated cases. There will obviously be cases where a person suffering from severe malaria and is unable to get to a clinic, but these cases are assumed to be minimal. (pers. comm. Dr. Frank Hansford, Northern Province Dept. of Health)
The proportion of active to passive cases appears to vary between the three malaria provinces. In the Northern Province, for 1996 and 1997, passive cases made up approximately 80% of the total number of cases, while in Kwazulu-Natal, the number of passive cases appear to be of the order of 30%. In Mpumalanga, passive cases made up 65% of the total number of cases in 1995/96, however were much lower (approximately 30% for previous years.) This difference could be due to different levels of effort on behalf of malaria control personnel in the different provinces in finding active cases, or it could be due to different levels of tolerance to the disease in different areas.
Table 6: Active and Passive Malaria Cases
|
Province |
Year |
Active |
Passive |
Total |
|
Mpumalanga |
1996 |
3 560 |
6 477 |
10 037 |
|
|
1997 |
1 398 |
4 516 |
5 914 |
|
|
1998 |
444 |
5 894 |
6 338 |
|
Northern Prov. |
1996 |
1 052 |
4 159 |
5 211 |
|
|
1997 |
864 |
3 807 |
4 671 |
|
|
1998 |
675 |
3 738 |
4 413 |
|
Kwazulu Natal |
1996 |
5 617 |
3 076 |
8 693 |
|
|
1997 |
7 127 |
2 801 |
9 928 |
|
|
1998 |
8 460 |
3 479 |
11 939 |
Source: Medical Research Council
The data presented in Table 6 includes data for Mpumalanga, Northern Province and only northern Kwazulu-Natal. The data does not include those cases found outside the three malaria provinces or in other areas of Kwazulu-Natal because of data inconsistencies (Medical Research Council).
South Africa's malaria control programme requires that all malaria cases within the three malaria provinces are confirmed and logged. The number of cases is monitored at both a local and national level. There is no requirement however for malaria cases outside these areas to be logged or tracked. A significant number of cases are recorded outside the malaria areas and can be attributed to migrant workers, who are infected in one of the malarial areas and then return to work in a non-malarial area, such as Gauteng. Tourists who visit the malarial areas would also contribute the number of cases outside the three malaria provinces. The total number of reported malaria cases outside the three malaria provinces were 1 097 in 1996, 1 259 in 1997 and 902 in 1998. These cases range between 3% and 5% of the total number of reported cases. It is likely that cases are among the economically active in the major industrial centres of South Africa. It can therefore be assumed that the economic impact, through lost productivity of these cases will be significant and should therefore be taken into account.
4. Malaria Prevention and Control in South Africa
The first malaria control programmes in South Africa began in the 1920s with larval control. Antimalarial committees were set up in Kwazulu-Natal and in the then Transvaal in order to co-ordinate preventative measures. The identification of larval sites was a vital part of this programme, which also encouraged the use of house screens and bed nets.
A report by Professor Swellengrebel, who visited the Kwazulu-Natal in 1930, recommended intensive anti-malarial measures and the principles of species sanitation contained in his report have been followed ever since. (Sharp B, et al. 1998). Certain areas, such as the Ingwavuma, Ubombo and Hlabisa districts of northern Kwazulu-Natal were not considered suitable for anti-malaria programmes because it was feared the natural immunity of the local population would decrease. Oil and Paris Green were used in larval control in the 1930s and continued to be the main method of control until 1946. During this period, many larval sites were drained and frequently eucalyptus trees were planted in order to remove permanently any malaria breeding sites. The South African Railways was extremely pro-active in malaria control, particularly through larval control near its stations. Between 1932 and 1938, the number of malaria infections among railway personnel fell from 1 021 to 57.
Pyrethrum insecticides were introduced for malaria control in 1934 and were sprayed within dwellings during the main transmission periods. The spraying of these insecticides had to be repeated weekly. The use of insecticides proved far more successful in the control of the malaria vector and despite the need for weekly spraying, cost about a third of the larval control programme. (Sharp, B et al. 1998)
The spraying of households with pyrethrums was extended to "native" areas (original wording) in the 1930s whereas before this it was restricted to white rural populations. Where larvicides and pyrethrums were used together, such as in the Springbok flats, which now fall in the Northern Province, the incidence of malaria was greatly reduced.
Malaria continued to be a severe problem while larval control was practised and while pyrethrum house spraying was implemented. It was not until DDT replaced pyrethroids that the vector control programme led to the radical and long-term reduction of malaria cases. In Kwazulu-Natal, the use of DDT began in 1946 and during the next five years, the number of adult vectors caught annually during routine check sprays decreased from 4 621 to 322 (Nethercott, 1974, reported in Dept. of Health, 1997).
DDT is widely acknowledged as the most successful insecticide in malaria control and its use allowed for the economic development of many areas that previously had been restricted because of malaria. After the introduction of DDT in the vector control programme in 1946, the number of cases of malaria in the then Transvaal declined to about one tenth of those reported in 1942/43. In some areas, DDT spraying was reduced and sometimes stopped because of the success it had in vector control. It was only required again after periods of heavy rains when malaria cases tended to rise.
DDT is highly specific and is still considered to be one of the most effective insecticides for several reasons. (Kemm, K. 1999) First, it is affordable and therefore available to many of the poorly developed and under-funded rural areas of South Africa. Second it is easy to mix and apply and therefore relatively little supervision and quality control is needed. When DDT is sprayed onto walls, it leaves a white powdery residue that allows the sprayer to check easily the parts that have been left out. Lastly no immunity of mosquitoes to DDT has been found in South Africa.
5. Local Economies in Malarial Areas
Data from the Development Bank of Southern Africa (DBSA) for 1994 gives a breakdown of the economic activities in the various malarial areas of South Africa. The economies of the three areas where malaria is prevalent are somewhat different. In Kwazulu-Natal and Mpumalanga, agriculture, manufacture, trade and catering and community services are the most important sectors of the economy. In the Northern Province, the mining sector contributes the most in terms of gross geographic product (GGP) with almost a 50% contribution, followed by community services, trade and catering and finance and real estate.
Tourism plays an important part of the economies of most of the malarial areas. The Kruger National Park and the private game reserves that border it comprise the majority of the land area within the malarial areas of the Northern Province and Mpumalanga. There are a number of smaller game reserves and private lodges in northern Kwazulu-Natal, both inland and along the coast. In recent years many cattle ranches in this area have moved over to game farming, either for hunting or game viewing. The Lubombo Spatial Development Initiative (SDI), which is fundamentally a development plan for eastern Swaziland, southern Mozambique and north-eastern Kwazulu-Natal has tourism as its main focus and the basis for future development in the area. The trend towards tourism is therefore likely to continue and to become an even more important sector of the local economy.
Table 7: Gross Geographic Product at factor cost and current prices by kind of economic activity for malarial areas in South Africa. 1994 (R1000)
Province |
District |
Primary Sector |
Secondary Sector |
Tertiary Sector |
|
Total |
|||||
|
|
|
Agriculture Forestry & Fishing |
Mining & Quarry |
Manufact-uring |
Electricity & Water |
Constr-uction |
Trade Catering |
Transport &Comm-unication |
Finance & Real Estate |
Community Services |
|
|
Kwazulu-Natal |
Hlabisa |
75 497 |
442 |
44 092 |
0 |
4 496 |
68 693 |
6 344 |
16 990 |
21 587 |
238 141 |
|
Ingwavuma |
20 839 |
18 182 |
690 |
43 |
833 |
216 |
393 |
542 |
11 893 |
53 633 |
|
|
Mahlabatini |
3 306 |
24 286 |
2 070 |
169 |
1 815 |
517 |
1 272 |
2 954 |
29 928 |
66 317 |
|
|
Mtunzini |
137 818 |
4 127 |
222 970 |
0 |
6 645 |
30 530 |
20 986 |
16 547 |
38322 |
477 945 |
|
|
Nongoma |
6 390 |
10 264 |
1 759 |
132 |
1 226 |
509 |
1 099 |
1 047 |
16 875 |
39 300 |
|
|
Ubombo |
4 283 |
0 |
670 |
0 |
349 |
5 095 |
289 |
1 273 |
10 109 |
22 068 |
|
|
Total Kwazulu-Natal |
248 133 |
57 301 |
272 251 |
344 |
15 364 |
105 560 |
30 383 |
39 353 |
128 714 |
897 404 |
|
|
% contribution |
27.6 |
6.3 |
30 |
0.03 |
1.7 |
11 |
3.3 |
4.4 |
14 |
100 |
|
|
Mpumalanga |
Nelspruit |
247 582 |
107 507 |
136 351 |
6 086 |
17 983 |
94 686 |
79 590 |
32 278 |
119 659 |
841 722 |
|
Barbertn |
140 731 |
2 304 |
750 681 |
74 359 |
50 049 |
330 047 |
148 982 |
280 954 |
179 308 |
1 957 415 |
|
|
Total Mpumalanga |
388 313 |
109 811 |
887 032 |
80 445 |
68 032 |
424 733 |
228 572 |
313 232 |
298 967 |
2 799 137 |
|
|
% contrib |
|
13.8 |
3.9 |
31.6 |
2.8 |
2.4 |
15.2 |
8.2 |
11.2 |
10.7 |
100 |
|
Northern Province |
Giyani |
28 132 |
1 654 |
13 354 |
851 |
14 477 |
8 674 |
3 664 |
13 273 |
231 462 |
315 540 |
|
Lulekani |
6 335 |
1 474 |
7 497 |
229 |
8 725 |
3 802 |
2 413 |
5 451 |
56 534 |
92 460 |
|
|
Messina |
40 593 |
18 277 |
8 480 |
585 |
1 757 |
24 404 |
13 710 |
18 839 |
38 668 |
165 313 |
|
|
Phalaborwa |
10 111 |
1 362 024 |
14 945 |
10 248 |
11 626 |
74 008 |
13 537 |
41 581 |
119 800 |
1 657 880 |
|
|
Thohoyandou |
35 360 |
22 313 |
31 772 |
22 960 |
18 845 |
115 449 |
9 729 |
52 861 |
370 816 |
680 103 |
|
|
Total Northern Province |
120 531 |
1 405 742 |
76 048 |
34 873 |
55 430 |
226 337 |
43 053 |
132 005 |
817 280 |
2 911 296 |
|
|
% contribution |
4.1 |
48.3 |
2.6 |
1.2 |
1.9 |
7.8 |
1.5 |
4.5 |
28.1 |
100 |
|
|
Total All Malarial Areas |
756 977 |
1 572 854 |
1 235 331 |
115 662 |
138 826 |
756 630 |
302 008 |
484 590 |
1 244 961 |
6 607 837 |
|
|
% contribution |
11.5 |
23.8 |
18.7 |
1.8 |
2.1 |
11.4 |
4.6 |
7.3 |
18.8 |
100 |
|
Source: DBSA, Kwazulu-Natal Development Profile, 1998. Mpumalanga Development Profile, 1998, Northern Province Development Profile, 1998.
Table 8: Sectoral composition of the labour force - magisterial districts in malarial areas, SA, 1994
|
Province |
District |
Total Labour Force |
Formally Employed |
Unemployed |
Active in Informal Employment |
Total Labour Force (%) |
Formally Employed (%) |
Unemployed (%) |
Active in Informal Sector (%) |
|
Kwazulu-Natal
|
Hlabisa |
33 447 |
16 009 |
12 286 |
5 152 |
100 |
47.9 |
36.7 |
15.4 |
|
Ingwavuma |
17 903 |
6 440 |
8 741 |