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| ABSTRACT |
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| INTRODUCTION |
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There are both direct and indirect costs related to malaria. Directly, malaria causes illness, death, and disability. Indirectly, it causes loss in terms of time spent with sickness and treatment costs in terms of family time spent to care for the sick, loss of productive time, time spent by families and communities to grieve for the dead, and funeral costs. As the foremost cause of illness in many rural areas of sub-Saharan Africa, malaria undermines agricultural productivity and incomes, especially because the peak period of transmission often coincides with the peak period of agricultural activity and labor operations.5 The combined effects of malaria-caused mortality, morbidity, and debility on household labor force and on community members as a whole manifest in reduced quantity and quality of labor inputs, reduced economic output, and resource under-utilization.6 The economic impact of malaria is so high that, in developing countries, it is considered the major cause of poverty. The objective of this article is to review the current malaria control strategies, challenges, and prospects for future interventions in Tanzania.
| STRATEGIES FOR MALARIA CONTROL IN TANZANIA |
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Malaria case management. Several achievements regarding malaria case management have been realized since the introduction of sulfadoxine–pyrimethamine (SP) in 2001. These include ensuring the availability of recommended antimalarial drugs at all times at healthcare facilities; effective monitoring of antimalarial drug resistance; and development and implementation of epidemic preparedness plans in malaria epidemic-prone districts.9 However, according to the National Malaria Control Program, the current statistics indicate that appropriate management of uncomplicated malaria in children aged less than 5 years in Tanzania is at 34%. The target is to have 80% of the uncomplicated and severe malaria cases in "underfives" appropriately treated at health facilities by 2007. It is unlikely that this target can be met by the end of 2007.
On the other hand, unpublished data from the Ministry of Health indicate that IPT during pregnancy is being provided at all health facilities. (The target is to have 60% of pregnant mothers use IPT by 2007.) By end of 2005, 65% and 47% of mothers had their first and second IPT, respectively. Unfortunately, over the years, SP resistance in the country has increased, thus threatening the usefulness of the IPT strategy.10
Vector control.
The use of ITNs in Tanzania has increased markedly over the past few years. Statistics indicate that the proportion of households with at least one untreated net has increased from 14% in 2001 to 58% in 2005. On the other hand, the proportion of households with at least one ITN has increased from 14% in 2001 to 25% in 2005 (Table 2
). However, the use of ITN in "underfives" has remained lower in rural areas (14%) than in the peri-urban (25%) or urban areas (28%).
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In addition, several studies reveal that even when access to ITNs is expanded, many households do not use them. It has been shown in western Kenya that even when nets were given away for free, approximately 30% of them were unused.13 Likewise, in southern Tanzania, a year after free net distribution, nets were found stored in their bags and had not been utilized by a number of households.
The Global Malaria Program at the WHO has recently reaffirmed the importance of indoor residual spraying (IRS) as one of the primary interventions for reducing or interrupting malaria transmission.14 IRS is the application of long-lasting chemical insecticides on the walls and roofs of all houses and domestic animal shelters in a given area, to kill the adult mosquitoes that land and rest on these surfaces. Tanzania plans to introduce IRS using DDT in epidemic-prone districts, where little data on the mosquito diversity and behavior are available.
Malaria epidemics prevention and control. Twenty-five percent of the districts of Tanzania are malaria epidemic prone. To mitigate epidemics, early detection and epidemic preparedness mechanisms have been established in 19 and 13 of the districts, respectively. Such mechanisms are being supported by an integrated disease surveillance and response strategy, introduced in 1998.15 The malaria epidemic early detection (MEED) system is based on plotting weekly and monthly malaria cases into a monitoring chart designed with a threshold representing alert and action lines derived from retrospective data for each health facility.8 Through this system, districts are required to note and report any drastic increase in the number of malaria cases and deaths.
Although most (68.4%) of the malaria epidemic-prone districts in Tanzania are under the epidemiologic surveillance for MEED system, Muleba district has continued to experience outbreaks. Unfortunately, little has been done to thoroughly study the causes of epidemics in the district. It is important that a monitoring and evaluation system is installed to provide necessary data that will be used to improve the MEED system.
| CHALLENGES TO THE CURRENT MALARIA CONTROL STRATEGIES |
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To achieve a suitable and significant gain in the reduction of morbidity and mortality by reduction of transmission it is probably necessary to reduce parasite exposure to low levels. With the present interventions this has not been achieved in the high-transmission zones. Sustainability of control measures by households has been difficult. Mosquito nets worn out are not replaced and re-treatments are not done in time to provide a continuous protection against mosquito bites. It is important that research therefore focuses on the dynamics of malaria transmission, its prevention, and its public health impact at different epidemiologic profiles.
In Tanzania the national policy is to implement malaria control as part of the primary healthcare approach, and not as a separate vertical activity. However, over the years, malaria control has been delegated to a national control program. The traditionally vertically organized malaria control program has built up its expertise and networks by which interventions are implemented. The recent introduction of health sector reform in Tanzania has shifted responsibilities for the implementation of disease control activities from the national level to district levels. However, most districts in Tanzania fail to develop effective malaria control programs. Their capacity is often insufficient to perform proper situation analysis, selection, and implementation of effective interventions and monitoring and evaluation. Moreover, recent studies have shown that the primary healthcare approach does not work for malaria control and an integrated approach is required to accommodate all appropriate strategies.16
The current strategy for malaria control in Tanzania is to prevent death, reduce illness, and decrease socio-economic loss due to the disease. This requires effective drugs for early management of the disease, management of severe and complicated cases, and IPT.
Malaria case management. To provide adequate early diagnosis and treatment (EDT) at the primary healthcare level is one of the aims of the Roll Back Malaria strategy. EDT provides secondary prevention and halts progress of the disease process to incurable stages. An important threat to this strategy is poor diagnosis. Presumptive treatment as a strategy for malaria management is common in most rural health facilities in Tanzania where laboratory facilities are inadequate. Its potential benefits are questionable in areas with low malaria transmission. Various studies in Tanzania have not been able to show whether the level of endemicity affects the sensitivity and specificity of clinical malaria case definition or not.17,18
Most malaria diagnoses in Tanzania are based on clinical grounds. Only a few facilities are equipped with basic laboratory services to provide confirmatory diagnoses. Recently, in addition to the problem of the lack of laboratory services, where these services are available, malaria is commonly over-diagnosed. For example, the fraction of malaria-attributable fevers in health facilities in Dar es Salaam is low suggesting that patients presenting with fever are much more prone to suffer from diseases other than malaria.19 It has been reported that 87% of patients who received antimalarial treatment at the Muhimbili National Hospital in Tanzania for presumed severe malaria did not have detectable parasitaemia resulting in over-treatment of malaria and neglecting other potentially threatening conditions.20 Recently, in northeastern Tanzania it has been observed that 53.9% of patients treated for malaria were smear-negative for Plasmodium falciparum.21 This has important implications for the management of febrile illnesses, and over-diagnosing malaria patients may also distract from other causes of fever, some of which may be fatal.19 This may lead to a substantial number of unnecessary treatments, a problem that is likely to be much more serious with the introduction of the more expensive artemisinin-based combination therapy.22
Chloroquine-resistant falciparum malaria is widespread in Tanzania.23 This has necessitated change in the National Policy in the first-line treatment of malaria in the country in August 2001. Until recently, sulfadoxine–pyrimethamine (SP) was the first-line antimalarial drug. Resistance to SP has been observed in a number of places in Tanzania.24,25 This prompted another change in policy in the first antimalarial drug in November 2006. Another major barrier to the successful malaria case management is the poor adherence to drug regimens. Underdosing is quite a common practice in many households because of poverty and the fact that clinical cure of fever is what matters to many individuals.
Vector control. Malaria vector control activities in Tanzania focus mainly on the use of ITNs. The implementation of effective vector control strategies requires requisite information on the vector population structure and their distribution and efficiency in malaria transmission. Studies in Tanzania have shown that the intensity and duration of transmission as well as the vector species, vary greatly between different ecological zones, from perennial transmission in the coastal areas to seasonal and unstable transmission in the central plateau and highland areas.26 By and large, whether ITNs have long-term sustainable beneficial effects and whether the effect is the same for different ranges of transmission is not yet certain. In fact the beneficial effects of ITNs would only be sustained if insecticide resistance does not occur and the malaria vector species remain highly exophilic. Research on mosquito behavior where ITNs have been extensively used is necessary to avoid widespread disasters similar to those that followed the malaria eradication campaigns of the 1950s–1960s.27
Insecticide resistance is becoming a problem among vector populations, therefore posing a threat to malaria control activities. While it is known that certain populations of An. funestus in Southern African countries28 and An. gambiae in Kenya29 are resistant, there is little information on this situation in Tanzania. The recent spread of pyrethroid resistance in An. gambiae and An. funestus threatens to reduce the potency of ITNs and to undermine the present gains.30,31 Continuous monitoring of mosquito susceptibility to insecticides is required for early detection of resistant strains of malaria vectors, especially now with the introduction of long-lasting nets (LLNs).
Despite intense promotional efforts in the use of ITNs, low net retreatment rate has been a common problem.32 The most promising solution to the low re-treatment rates of nets is the introduction of LLNs. Studies in Tanzania have shown that insecticide incorporated within polyethylene fiber remained effective after four years of regular use.33
In Tanzania, the current move is to re-introduce and scale-up IRS. However, it must be noted that previous attempts to eradicate malaria using this technique were abandoned due to various technological and socio-economic reasons. Large-scale IRS attempts in Tanzania included those of the Pare-Taveta Malaria Scheme of 1955–196027 and the Urban Malaria Control Program of 1986–1996.34,35 Previous use of IRS in Dar es Salaam showed poor acceptance from the communities because it had little impact in the control of Culex quinquefasciatus, the main cause of mosquito biting nuisance in urban areas.36
Larval control has the potential to reduce malaria transmission both in rural and urban settings.37,38 It is now being reconsidered as a complementary intervention to current priorities such as ITNs and access to early diagnosis and prompt treatment.39,40 Control of immature aquatic stages of Anopheles mosquitoes may have particular promise in urban settings where large numbers of people can be protected in a relatively small area and rural settings with focal, seasonal breeding sites.41,42 However, mosquito larval control is given little value in Tanzania. Such efforts have only been revived recently. Pilot projects on the use of Bacillus thuringiensis and B. sphaericus in the control of malaria in the city of Dar es Salaam, Mvomero and Bagamoyo districts, have been initiated recently. Larval control is generally a quite labor intensive undertaking. This particularly applies to the An. gambiae s.l., which colonizes a large variety of habitats distributed widely over space and time.43–45 In contrast, An. funestus often requires substantial environmental manipulation or modification because this species is known to prefer large water bodies partly shaded by vegetation that are often inaccessible by foot.
Malaria surveillance system. Accurate epidemiologic data are essential for adequate malaria control. Effective malaria control requires prompt and adequate action towards the reduction of predisposing factors toward malaria acquisition and transmission. Such actions can only be made if correct information reaches those required to take action timely. This has been difficult to achieve in Tanzania because of a poor surveillance system. The health management information system (HMIS) in the country is still underdeveloped.46,47 This hampers communication between the respective levels of health service delivery and planning, monitoring of results, and evaluation at district and national levels. Without good HMIS using the right indicators, the national malaria control program faces difficulties to monitor and evaluate the activities at all levels.
Socio-economic and human behaviors. Malaria is mostly a disease of rural communities in Tanzania, where agriculture is the backbone of the household economy. Nonetheless, little is known on the impact of agriculture on malaria.48 In Africa, where malaria reaches a peak at harvest time, a single bout of the disease costs an estimated equivalent of 10 lost working days. As a result, affected families manage to work only 40% of land available for crops, compared with healthy families who are able to work up to 75% of the available land.49 The knowledge of the specific interactions between agricultural production systems and malaria remains relatively weak. A better understanding of the interrelationship between agricultural practices and the malaria burden needs to be researched. Such studies are currently being carried out in central Tanzania,50 where certain agricultural practices have been shown to contribute highly to the malaria burden.
The communitys socio-economic situation, cultural beliefs, and understanding of the disease influence the search for treatment in the face of disease.49 Determinants of the demand for malaria treatment are diverse and they include malaria endemicity; family members susceptibilities to malaria; household size; the perceived quality of care; current health status; accessibility to health services as well as the ability to pay for the services.51
It is clear, for example, that there are still important gaps in peoples understanding of and knowledge about malaria, with many people in rural communities still unaware of the causal link between mosquitoes and malaria.52 Moreover, studies of treatment seeking behavior for malaria show a clear preference for biomedicine in uncomplicated malaria. However, in cases involving convulsions, people tend to prefer traditional medicine.53 In addition, home medication with herbs or drugs purchased from shops is widespread in Tanzania,54 resulting in mismanagement of cases and delay in seeking care from health facilities. Socio-economic impact studies are needed to better quantify the impact of malaria on economic productivity, human nutrition, food security, and poverty.
Health education and communication. Health education communication is one of the key components in malaria control and prevention. Serious obstacles in most disease control strategies include lack of effective health information, education, and communication programs. Community and health providers need to understand the problem in all its relevant aspects, as well as be aware of the options available for improvement.55 This means it is important for health providers and communities to appreciate the epidemiologic and technical dimensions of the malaria problem as well as the factors that affect whether particular control options will be feasible, technically possible, socially acceptable, environmentally friendly, and politically advantageous. For individuals and households, effective health communication can help raise awareness of health risks and solutions to provide the motivation and skill needed to reduce these risks, help them find support from other people in similar situations, and affect or reinforce attitudes.
In Tanzania, available information indicates that health education and information communication provided to the community has had limited impact on behavioral changes and hence disease prevention and control. In part, this is due to the ineffective communication strategies used in health education communication programs between systems and between systems and providers. Although various studies in the country55–57 have indicated that healthcare facilities are the most reliable source of health education, such facilities are often not accessed by many people particularly in rural areas because of healthcare charges, long distances, inadequate and unaffordable transport systems, poor quality of care, equity, poor governance, and inadequate human resource.55
| CONCLUSION |
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Better intervention technologies for malaria control are clearly desirable. However, it is also clear that their cost-effective delivery remains the dominant obstacle to effective application and adoption. Recent experiences with social marketing of ITNs,58 public–private partnerships,59 decentralization,60 and community participation45,50 have all provided renewed cause for optimism and shown that even the most isolated communities can be protected from malaria through sustainable delivery mechanisms. However, the deployment of these interventions requires an effective health system that improves the appropriate delivery or that minimizes malaria transmission by improving intersectoral management of the ecosystem. Great progress has been made with horizontal community-based health programs for delivering technologies such as drugs, diagnostics, and bednets. Systems interventions for public health or ecosystems management should be introduced with the active involvement of the community and various relevant sectors.50
Reduction of human exposure to infective mosquitoes is a critical element of the malaria control program in Tanzania. However, most interventions rely on techniques that kill adult mosquitoes. Methods that target suppressing productivity or killing mosquito larvae are not given due importance because they are more labor-intensive and include source reduction. Such techniques can be sustainably used where communities are involved in malaria control.
Over the years, malaria control strategies in Tanzania have been based on chemotherapy and vector control through the use of ITN. It should be realized that each of these methods is cost effective in some settings but may be ineffective, or too costly, in others. It is important that several strategies are integrated and promoted equally if we are to achieve a sustainable malaria control in the country. The Ministry of Health should strive to strengthen strategies of addressing the whole array of the health system including provision of adequate resources, reliable data on malaria burden, and adequate tools for an integrated malaria control. Strengthening of surveillance should be one of the current priorities in Tanzania. The use of rapid diagnostic tests could be introduced for rapid epidemiologic mapping and for routine screening of suspected cases of malaria especially now that the country has introduced artemisinin-based combination therapy as the first-line antimalarial drug. More research is needed and should include mosquito ecological behavioral studies, systematic monitoring of drug and insecticide resistance, diagnostic techniques, and socio-cultural behavior that hinder malaria prevention and control at household and community levels.
In conclusion, as Tanzania struggles to strengthen the national, district, and household programs for prevention and control of malaria, it is faced with even more challenging problems as pertaining to ecological, systemic, technical, political, and human behavior aspects. Recognizing and addressing the identified constraints in malaria control, the country must embark seriously on research in areas targeted for the reduction of the malaria burden. These research priorities must take into account the fact that malaria control and prevention strategies are changing fast to accommodate the current changing world. Only through an integrated approach to malaria control will the goal to roll back malaria be achieved in Tanzania.
Received August 21, 2006. Accepted for publication June 13, 2007.
* Address correspondence to Leonard E. G. Mboera, National Institute for Medical Research, P.O. Box 9653, Dar es Salaam, Tanzania. E-mail: lmboera{at}nimr.or.tz ![]()
Authors addresses: Leonard E. G. Mboera, Emmanuel A. Makundi, and Andrew Y. Kitua, National Institute for Medical Research, P.O. Box 9653, Dar es Salaam, Tanzania.
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