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Epidemiology of Plasmodium-Helminth Co-Infection in Africa: Populations at Risk, Potential Impact on Anemia, and Prospects for Combining Control

ABSTRACT

TOP ABSTRACT INTRODUCTION PREDICTED PATTERNS OF CO... EPIDEMIOLOGY OF CO-INFECTION IMMUNE CONSEQUENCES OF CO... IMPACT OF CO-INFECTION ON... COMBINED CONTROL PROPOSED RESEARCH AGENDA CONCLUSIONS REFERENCES

 
Human co-infection with Plasmodium falciparum and helminths is ubiquitous throughout Africa, although its public health significance remains a topic for which there are many unknowns. In this review, we adopted an empirical approach to studying the geography and epidemiology of co-infection and associations between patterns of co-infection and hemoglobin in different age groups. Analysis highlights the extensive geographic overlap between P. falciparum and the major human helminth infections in Africa, with the population at coincident risk of infection greatest for hookworm. Age infection profiles indicate that school-age children are at the highest risk of co-infection, and re-analysis of existing data suggests that co-infection with P. falciparum and hookworm has an additive impact on hemoglobin, exacerbating anemia-related malarial disease burden. We suggest that both school-age children and pregnant women—groups which have the highest risk of anemia—would benefit from an integrated approach to malaria and helminth control.

INTRODUCTION

TOP ABSTRACT INTRODUCTION PREDICTED PATTERNS OF CO... EPIDEMIOLOGY OF CO-INFECTION IMMUNE CONSEQUENCES OF CO... IMPACT OF CO-INFECTION ON... COMBINED CONTROL PROPOSED RESEARCH AGENDA CONCLUSIONS REFERENCES

 
Malaria poses an enormous public health burden, and > 75% of the global clinical episodes caused by Plasmodium falciparum each year are concentrated in Africa.¹ Across the continent, a number of helminth species share the same spatial extents as P. falciparum. The most ubiquitous of these are the soil-transmitted helminths (STH: Ascaris lumbricoides, Trichuris trichiura, and hookworms), which infect more than one third of the continent’s population infected at any one time.² The schistosomes, Schistosoma haematobium and S. mansoni, are also endemic throughout the continent, but generally have a much more focal distribution than STH species.³ In Africa, the overall prevalence of Wuchereria bancrofti, which causes lymphatic filariasis (LF), is low⁴, but the disease continues to be of considerable local importance in endemic foci. Finally, onchocerciasis, caused by Onchocerca volvulus, is widely distributed throughout the continent.⁵

Spatial congruence of both P. falciparum and different helminths remains poorly defined. Preliminary analyses, however, suggest that as many as one quarter of African schoolchildren may be coincidentally at risk of P. falciparum and hookworm.⁶ This spatial coincidence of risk between these two parasite populations would suggest that co-infection is extremely common, although the public health significance of polyparasitic infection remains a topic for which there are many unknowns. For example, although we know that helminth infections elicit a potent, highly polarized immune responses characterized by elevated T-helper cell type 2 (Th2) cytokine and immunoglobulin (Ig)E production,⁷ it is unclear whether these responses may modulate human immune responses to malaria and therefore alter susceptibility to clinical disease.⁸ Similarly, although malaria and helminth infections are known etiological factors in tropical anemia,^9–11 the extent to which their combined presence might interact to further enhance the risk of anemia is poorly understood. Finally, although the relevance of an integrated, non–disease-specific approach to controlling childhood anemia is an increasingly recognized strategy,¹² following a general move toward integrated disease control programs,^13,14 the public health evidence base for combined malaria and helminth control requires better definition.

Two recent reviews have focused on either the epidemiologic¹⁵ or immunologic⁸ evidence on Plasmodium–helminth interactions. In contrast, this paper quantitatively studies the geography and epidemiology of co-infection and its potential impact on anemia, as well as the exploring the wider implications of co-infection for disease control in Africa.

PREDICTED PATTERNS OF CO-DISTRIBUTION

TOP ABSTRACT INTRODUCTION PREDICTED PATTERNS OF CO... EPIDEMIOLOGY OF CO-INFECTION IMMUNE CONSEQUENCES OF CO... IMPACT OF CO-INFECTION ON... COMBINED CONTROL PROPOSED RESEARCH AGENDA CONCLUSIONS REFERENCES

 
The large-scale distributions of parasitic diseases are governed by a number of environmental factors, principally temperature and humidity. We have previously used a combination of temperature, rainfall, and altitude to predict the continental distribution of each of the major STH species.² These models suggest that the prevalence of A. lumbricoides and T. trichiura is greatest in equatorial, central, and west Africa, eastern Madagascar, and southeast Africa, whereas hookworm is more widely distributed across the continent. Other workers have used climate-driven Fuzzy logic models to define the suitability for stable malaria transmission across Af-rica,¹⁶ and previous estimations^17,18 classify transmission conditions into four classes: zero risk, marginal risk, acute seasonal risk, and stable risk. Combining these different spatial models has previously allowed the estimation of the co-distribution of P. falciparum and hookworm and the school-age populations at risk of coincident infection.⁶ Here we extend this approach to quantify the populations at risk of infection with both P. falciparum and each of the major STH species. In areas of stable endemic malaria transmission between 17.9 and 32.1 million children 5–14 years of age are estimated to be at risk of co-infection with P. falciparum and different STH species, with the risk greatest for hookworm (Table 1). Between 5.8 and 9.6 million and 1.6 and 3.4 million children at risk of co-infection in areas of acute marginal seasonal transmission and marginal transmission, respectively. This analysis indicates that the coincidental malaria-STH at-risk population is greatest for hookworm than either A. lumbricoides or T. trichiura. Schistosomiasis has a more focal distribution caused by spatial heterogeneities in snail dynamics and human behavior,³ making the prediction of co-distribution with malaria more difficult to assess. Finally, many of the areas endemic for LF and onchocerciasis are also affected by malaria,¹⁹ although this remains to be reliably quantified.

EPIDEMIOLOGY OF CO-INFECTION

TOP ABSTRACT INTRODUCTION PREDICTED PATTERNS OF CO... EPIDEMIOLOGY OF CO-INFECTION IMMUNE CONSEQUENCES OF CO... IMPACT OF CO-INFECTION ON... COMBINED CONTROL PROPOSED RESEARCH AGENDA CONCLUSIONS REFERENCES

View larger version (13K): [in this window] [in a new window]       FIGURE 1. Typical age profiles of prevalence of P. falciparum infection, hookworm and S. mansoni. Data taken from Ashford and others103 and Kabatereine and others.104

In contrast to the well-characterized patterns of single parasite infections, we know surprisingly little about the patterns and risk factors of co-infection within communities. The occurrence of co-infection will depend on 1) the overall prevalence of individual species and 2) the degree of association between different species. If infection with P. falciparum and helminths are independent, occurrence of co-infection is simply determined by the relative frequency of individual species. Thus, the age patterns of co-infection will depend on the age-specific prevalence rates as predicted by simple probability. However, if co-infection is either synergistic or antagonistic, occurrence of both parasites would be significantly different from that predicted by individual chance encounters with either infection. Such associations may arise because of biologic associations, whereby the presence of one species promotes or inhibits the establishment and/or survival of the second species, potentially through immune modulation.⁸ Alternatively, co-infection may reflect concurrence of common socio-economic and/or environmental risk factors promoting survival of both species.^15,26 At present, there are too few studies able to disentangle the relative importance of different risk factors for co-infection and detailed epidemiologic studies are clearly warranted.

However, on what we currently know about the epidemiology of co-infection, it is suggested that school-age children, rather than preschool children or adults, are most at risk of plasmodium–helminth co-infection (Figure 1), and thereby at greatest risk of the consequences of co-infection. The next section provides a brief review of the immunologic consequences of co-infection, before turning to the impact of co-infection on hemoglobin levels.

IMMUNE CONSEQUENCES OF CO-INFECTION

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The successful resolution of Plasmodium infection requires a coordinated succession from a T-helper cell type 1 (Th1) to a Th2 type response, and anything that upsets the timing or balance of this process can lead to chronic or severe infection.²⁷ The Th2-skewed immune profile and profound cellular hyporesponsiveness induced by chronic helminth infection⁷ might therefore be expected to affect the course of Plasmodium infection. This hypothesis has led researchers to study the interactions between Plasmodium and helminth infection. However, limited observational studies thus far have provided conflicting accounts of the effects of chronic helminth infection on host immune responses to malaria. Early studies suggested that Ascaris lumbricoides infection might be protective against malarial disease,^28,29 in contrast to several later reports, which suggested that STH infections may increase the risk of malaria infection.^26,30–33 Conversely, a potential protective effect on malaria of light schistosome infection has been reported in Senegal and Mali.^34,35 Other studies have noted a difference in the development of severe malaria between helminth-infected and uninfected individuals, with several studies from Thailand suggesting a protective effect for A. lumbricoides infection on the risk of cerebral malaria and acute renal failure,^36–39 although again this is in contrast to a study in Senegal, which suggested a positive association between infection with A. lumbricoides and the occurrence of severe malaria.³³ Thus, epidemiologic observations now suggest a range of scenarios in which helminth infections may increase susceptibility to Plasmodium infection but may also under certain circumstances protect against severe malaria.⁸ The potential immuno-regulatory mechanisms by which helminths may alter immune responses to malaria are summarized in Figure 2. Despite the biologic plausibility of synergism and antagonism and the somewhat contradictory evidence,¹⁵ the precise relationship between co-infection and clinical malaria continues to remain difficult to empirically determine, and definitive studies are urgently needed to resolve the issue.

View larger version (24K): [in this window] [in a new window]       FIGURE 2. Plasmodium–helminth co-infection: hypothesized mechanisms through which helminths may alter the risk of malarial infection and disease and the mechanisms through which anemia arises. Chronic helminth infection induces a T-helper 2 (Th2) cytokine response, which may impose cross-regulatory effects on the development of an appropriate pro-inflammatory response to initial malaria infection,105–108 and skew anti-Plasmodium antibody responses toward the production of non-cytophilic immunoglobulins ineffective against malaria (IgG4 and IgGM), instead of cytophilic ones necessary for immunity (IgG1 and IgG3).109,110 However, induction of an anti-inflammatory immunosuppressive network may in fact prevent severe pathology in the later stages of malaria infection, with high levels of helminth-induced interleukin (IL)-10111–114 acting to down-modulate the effects of interferon (IFN)- and tumor necrosis factor (TNF)-, thus reducing malaria pathology.8 Alternatively, sequestration of infected red blood cells may be prevented through IgE-mediated activation of the CD23/NO pathway.115 Adapted and expanded from Hartgers and Yazdanbakhsh.8

IMPACT OF CO-INFECTION ON ANEMIA

TOP ABSTRACT INTRODUCTION PREDICTED PATTERNS OF CO... EPIDEMIOLOGY OF CO-INFECTION IMMUNE CONSEQUENCES OF CO... IMPACT OF CO-INFECTION ON... COMBINED CONTROL PROPOSED RESEARCH AGENDA CONCLUSIONS REFERENCES

 
Anemia is one of the most widespread and common health condition afflicting individuals living in the tropics, and in Africa, it contributes to 23% of nutrition-related disability-adjusted life years.⁴⁰ The consequences of anemia are particularly severe for children and pregnant women.^12,41 Chronic anemia during childhood is associated with impairments in physical growth, cognition, and school performance,⁴² whereas severe anemia accounts for up to one half of the malaria-attributable deaths in children younger than 5 years of age.⁴³ Maternal anemia is associated with low birth weight and increased maternal morbidity and mortality.^38,44 Although the etiology of anemia is complex and multi-factorial in origin, parasitic diseases, including P. falciparum and helminth infections, have long been recognized as major contributors to anemia in endemic countries.

Recent meta-analyses of malaria intervention trials among African children provided compelling evidence that both symptomatic and asymptomatic malaria contributes substantially to anemia in endemic regions.^43,45 Malaria contributes to reduce hemoglobin concentrations through a number of mechanisms, principally by destruction and removal of parasitized red cells and the shortening of the life span of non-parasitized red cells, and decreasing the rate of erythrocyte production in the bone marrow.⁴⁶ Some of the mechanisms that cause anemia during malaria are associated more with the acute clinical states (e.g., hemolysis or cytokine disturbances), whereas chronic or repeated infections are more likely to involve dyserythropoiesis.⁹ Data among Ghanaian schoolchildren suggest that hemoglobin concentration was 9 g/L lower among children with asymptomatic P. falciparum infection than uninfected children.⁴⁷ Although this finding cannot be extrapolated to all settings, these results suggest that asymptomatic parasitemia may be associated with a marked reduction in hemoglobin concentration among older children who are also at highest risk of helminth infection.

The effects of infection with a single helminth species on the risk of anemia are well documented, with risk correlated with infection intensity.^11,48,49 A recent study among Filipino schoolchildren highlights how even low-intensity multiple helminth infections enhance anemia risk.⁵⁰ Hookworm causes iron deficiency anemia through the process of intestinal blood loss.¹⁰ Schistomes also cause anemia by chronic blood loss, as eggs penetrate the wall of the bowl (in intestinal schistosomiasis) and the urinary tract (in urinary schistosomiasis).¹¹ Like malaria, anemia caused by schistosomes can additionally arise from destruction of red blood cells and/or dyserythropoiesis. Ascaris lumbricoides and Trichuris trichuria typically have little impact on iron status.⁵¹

Based on the distinct mechanisms by which malaria and hookworm and schistosomes reduce hemoglobin levels, it can be speculated that their combined presence might interact to enhance the risk of anemia. However, little is known about the impact of co-infection on anemia among different age groups. We have approached this paucity of data by reanalyzing available data from Kenya to study the association between co-infection and hemoglobin levels (Figure 3). Data for preschool children indicate that co-infection with P. falciparum and heavy hookworm is associated with significantly lower hemoglobin concentration than single infections with either P. falciparum or hookworm (Figure 3A). Among schoolchildren, hemoglobin is 4.2 g/L (95% CI, 3.1–5.2 g/L) lower among children harboring co-infections than single species infections (Figure 3B). In contrast, no significant difference was observed among pregnant women, although both malaria and hookworm alone had a significant impact on hemoglobin levels (Figure 3C). Although these data are suggestive of an additive impact of co-infection on anemia in certain age groups, it should be noted that such associations may be confounded by socio-economic, genetic, and nutritional factors and that the effects of co-infection may vary by malaria and helminth transmission intensities.⁵² Consequently, randomized controlled trials of combining malaria- and helminth-specific interventions aimed at establishing the contribution of co-infection on anemia should be conducted in a range of transmission settings.

View larger version (13K): [in this window] [in a new window]       FIGURE 3. The relationship between plasmodia-hookworm co-infection and mean hemoglobin concentration in Kenya based on re-analysis of published data. A) Preschool children: 460 children: 61.5% were uninfected; 30.9% infected with P. falciparum alone; 4.1% with heavy hookworm (eggs/gram feces [epg] > 2,000; 3.5% with both, based on Brooker and others116 B, School-age children: 392 children: 19.1% were uninfected; 27.8% infected with P. falciparum alone; 17.9% with heavy hookworm (epg > 2,000); and 35.2% with both, based on Stephenson and others.48 C, Pregnant women: 251 women: 68.5% were uninfected; 21.1% infected with P. falciparum alone; 6.0% with heavy hookworm (epg > 2,000); and 4.4% with both, based on Shulman and others.117 Mean hemoglobin based on regression modeling adjusting for age, sex, nutrition status, socioeconomic status (preschool children), and gestation (pregnant women). Error bars indicate 95% confidence intervals.

COMBINED CONTROL

TOP ABSTRACT INTRODUCTION PREDICTED PATTERNS OF CO... EPIDEMIOLOGY OF CO-INFECTION IMMUNE CONSEQUENCES OF CO... IMPACT OF CO-INFECTION ON... COMBINED CONTROL PROPOSED RESEARCH AGENDA CONCLUSIONS REFERENCES

 
Several effective malaria control interventions currently exist, including residual house spraying, insecticide-impregnated materials (particularly bed nets), and antimalarial drugs. Increasing political and financial support for malaria control, as well as renewed emphasis on population-based anthelmintic treatment,¹⁴ makes a combined malaria-helminth approach to control timely. Although the appropriateness of different intervention strategies will depend on a complex of interacting factors that determine the epidemiology of infection and availability of delivery mechanisms, there exist multiple potential for combining malaria control with helminth control (Table 2).

Regarding helminth control among preschool children, the benefits of deworming are increasingly appreciated. For example, recent evidence from Zanzibar indicates that anthelmintic treatment significantly reduced the prevalence of anemia and stunting among preschoolers who received mebendazole every 3 months for 1 year.⁶⁴ On the basis of available evidence on the effectiveness of treatment and the safety of providing to young children, WHO now recommends, in areas of high helminth prevalence, to provide anthelmintic treatment to children from the age of 12 months.^65,66 Thus, anthelmintic treatment could potentially be co-administered with IPT to children 1–5 years of age in areas of seasonal malaria transmission. Based on current guidelines, deworming is unable to be provided as part of IPTi activities.

School-age children. The delivery of malaria chemoprophylaxis to schoolchildren through schools was widespread in Africa during the 1950s and 1960s and resulted in significant reductions in parasitemia and rates of anemia and clinical malaria attacks.^45,67 However, regular chemoprophylaxis in malaria-endemic countries proved to be unsustainable, largely because of problems in drug distribution and financing and concerns about the potential emergence of drug resistance.⁶⁸ Today there is a renewed interest in the potential of the education sector to address the impact of malaria on school-age children.^69,70 A recent study of the impact of ITNs (permethrin) on the health of adolescent schoolgirls in western Kenya found that ITNs were associated with an increase in hemoglobin concentrations (0.34 g/dL; 95% CI = 0.02, 0.66).⁷¹ A study in Tanzania showed the effectiveness of teachers in recognizing and treating malaria in school children,⁷² and a study in Malawi showed the effectiveness of presumptive treatment in reducing malaria-related mortality among schoolchildren where teachers were trained to use "first aid kits" to dispense SP treatment to symptomatic children.⁷³

IPT may also prove a valuable approach in older children in preventing malaria-related anemia. A trial was recently completed among schoolchildren in a high malaria transmission area of western Kenya evaluating the effect of IPT using SP combined with amodiaquine on children’s hemoglobin concentrations and their ability to concentrate in class, whereby children were provided with a curative treatment dose every term during the school year, regardless of infection status. Preliminary results indicate that IPT almost halves (protective efficacy 55%; 95% CI: 20–74%) the occurrence of anemia and reduces malaria parasitemia by 90% (95% CI: 82–95%) (Clarke and others, unpublished data). Future work will address the effectiveness of the approach in a range of transmission settings and the operational feasibility of integrating the approach into current school health programs, including provision of IPT by teachers.

In contrast to the operational uncertainties and absence of guidance as to good practice for malaria control in schools, global efforts are already underway to control helminth-related morbidity among school-age children through the combined delivery of praziquantel to treat schistosomiasis and benzimidazole anthelmintics, albendazole, and mebendazole to treat STH infections. Because the most intense helminth infections and related illnesses occur at school age^74,75 and infection can have adverse consequences for health and development,⁷⁶ many of which is rapidly reversed by treatment, school-age children are the natural targets for treatment. In addition, school-based treatment delivery programs offer several cost advantages because of the use of the existing school infrastructure and the fact that schoolchildren are accessible through schools.⁷⁷

Thus, school-based deworming programs may provide a possible entry point for combined delivery of IPT and anthelmintics or at least a way of sharing resources to do so, with limited increase in operational costs. Combined school-based parasite control is not new, however, and many useful lessons can be learned from past experiences.⁷⁸ Health promotion activities and teaching within schools to encourage good hygiene practices and awareness of malaria prevention methods, such as the use of sleeping under an ITN, will help support and maintain health gains.

Pregnant women. The current recommended control strategy for malaria during pregnancy in areas of stable transmission is IPT with SP, given during the second and third trimester,⁶⁶ which provides benefits in terms of reduced rates of maternal anemia⁷⁹ and malaria morbidity.^80,81 The use of ITNs, which have a well-documented beneficial impact on pregnancy outcomes,⁸² is also advocated. Although screening and treatment of hookworm infection in pregnant women is recommended,⁸³ there are surprisingly very few published studies reporting the impact of deworming on maternal health or pregnancy in Africa. Trials among pregnant women in Sierra Leone⁸⁴ and Peru⁸⁵ showed that deworming resulted in increased hemoglobin concentrations, and a study in Nepal found that deworming resulted in improvements in maternal iron status, birth weight, and perinatal survival.⁸⁶ Further study of the benefits of deworming among African pregnant women is clearly needed. Although co-infection was not found to be associated with lower hemoglobin among Kenyan pregnant women (Figure 3C), the detrimental effects of malaria and hookworm alone—together with the potential impact of schistosomiasis in pregnancy⁸⁷—warrants the evaluation of the combined use of IPT with SP and anthelmintic treatment. The potential additive benefits of combining interventions targeted at anemia is shown by a study in Sri Lanka that showed that mebendazole given in combination with iron-folate can improve hemoglobin and iron status more than iron-folate alone.⁸⁸

Community-based control. ITN distribution and residual house spraying are the main community-based malaria control strategies. In the more rural areas Africa, the same Anopheles mosquito species transmits both LF and malaria; in most urban and semi-urban areas, Culex spp. mosquitoes are the major vectors for W. bancrofti. Pilot studies indicate that ITNs can impact on vector biting densities of both Anopheles spp. and Cx. quinquefasciatus and on overall transmission of W. bancrofti.^89,90 For this reason, it has been suggested that the global LF programs lends itself particularly well to linkage with malaria control programs in areas co-endemic for LF and malaria.¹⁹

The cornerstone of onchocerciasis control is larviciding of Simulium (blackfly) vector breeding grounds and mass drug administration with ivermectin.^5,91 Since 1995, the African Program for Onchocerciasis Control has implemented community-directed treatment (CDT) with ivermectin, whereby communities themselves appoints local drug distributors.⁹¹ CDT has also been a feature of the Global Program to Eliminate LF, whereby communities are treated with albendazole and ivermectin in areas where onchocerciasis is endemic and albendazole and diethylcarbamazine (DEC) elsewhere.⁹² The CDT strategy is increasingly being used as platform to combining other community-based health interventions, including malaria interventions.¹⁹ Such linkage can help maintain high coverage levels achieved through onchocerciasis and LF CDT-based control. For example, recent experience in Nigeria suggests that integrated distribution by community volunteers of anthelmintics against LF and onchocerciasis, as well as ITNs, resulted in an increased net uptake.⁹³ These observations provide early indication of the feasibility of ITN distribution through a mass treatment campaign for helminths.

PROPOSED RESEARCH AGENDA

TOP ABSTRACT INTRODUCTION PREDICTED PATTERNS OF CO... EPIDEMIOLOGY OF CO-INFECTION IMMUNE CONSEQUENCES OF CO... IMPACT OF CO-INFECTION ON... COMBINED CONTROL PROPOSED RESEARCH AGENDA CONCLUSIONS REFERENCES

 
If there was a move toward a combined strategy to malaria-helminth control, there is a need to broaden the scope of research. Clearly the epidemiology of co-infection must be better studied before appropriate recommendations for the appropriate epidemiologic setting can be made. The relevance of different parasite-specific interventions will vary according to different transmission intensity conditions.⁹⁴ For example, IPTi may only be appropriate in areas of stable or seasonal malaria transmission but not in areas of low transmission. Moreover, whether iron supplementation should be withheld in young children is crucially dependent on understanding of the relative risk of iron deficiency and the rate of exposure to malaria, such that recommendations for iron supplementation cannot be based on a limited number of studies but need to be tailored to the nutritional status of the population and the intensity of malaria transmission.⁹⁵ Finally, the impact of different mixes of interventions may depend on the intensity of malaria and helminth transmission—a single approach to combined control is highly unlikely. To guide rational control, a number of key issues need to be empirically studied in a range of transmission and operational settings. As a first effort, we propose the study of the following key areas.

First, to better define the consequences of co-infection–related anemia requires more detailed analysis of empirical data on hemoglobin concentrations among different population groups to study the relationship between malaria–helminth co-infection on hemoglobin and iron deficiency anemia. The recently launched studies of IPT can potentially be combined with deworming to provide a more powerful platform to qualify the consequences of co-infection on anemia more precisely. There is also a clear need to look at mechanisms of this process in a co-infected individual. Therefore, measurements of intestinal blood (fecal protoporphyrin), shortened red blood cell (RBC) half-life, iron-binding capacity, splenic sequestration, and dyserythropoiesis should be examined in the polyparasitized; it may be more than additive. Such work is important to better define the contribution of co-infection to the public health burden in Africa and would also allow for a realistic framework to understand how to target intervention needs, as well as provide a rubric against which to measure progress toward national and international public health goals.

Second, to help identify priority areas for combined control, there is a requirement to delineate and understand the spatial overlap and co-endemicity of malaria–helminth infections. Mapping of malaria has undergone a renaissance after an increased recognition that malaria interventions such as IPTi and vector control approaches must be guided by effective cartography of malaria endemicity risk.⁹⁴ In addition, the value of a geographical perspective to helminth epidemiology and control has long been recognized and has been supported by the recent use of GIS and remote sensing.^2,3,96 Geographical congruency of different parasite species can be based initially on climate-based disease risk maps, such as those presented here used to model plasmodium-STH co-distribution.⁶ Such maps, however, belie the geographical variation evident at the community level, which is difficult to capture with existing risk models, and there is a requirement for more detailed empirical data collected through structured field surveys. For example, in light of recent evidence suggestive of a negative spatial association between W. bancrofti and P. falciparum in west Africa,⁹⁷ the distribution of LF and malaria at local scales urgently needs to be better determined. Moreover, it remains unclear how patterns of co-distribution actually relate to co-infection, and how distributions of co-infection vary with environmental and socio-economic heterogeneities. Interpretation of future survey data would, in turn, be facilitated by geostatistical models that will help to identify significant spatial risk factors and predict patterns of co-endemicity and co-infection. To date, only one study has attempted to model the spatial occurrence of co-infection,⁹⁸ and it showed that it was possible to predict spatial patterns of S. mansoni and hookworm. An improved understanding of spatial risk factors will allow the projection of co-endemicity on the basis of remotely sensed satellite data to allow for improved co-infection disease burden estimates. Newly refined endemicity maps will provide the basis for rational implementation of combined control by deriving more accurate commodity and budget estimates for different intervention types and mixes within countries.

Third, because the mix of optimal interventions will depend on the level of parasite transmission, there is a need to determine the cost-effectiveness of different intervention combinations in a range of endemicity conditions. An anticipated benefit of combining malaria and helminth control in Africa would be the health gains that could result from reducing anemia. As indicated, possible options include the linkage of IPTp with deworming to tackle maternal anemia and the combined delivery of IPT and deworming through schools to improve hemoglobin levels. In addition to these immediate health impacts, there may also be benefits on, often neglected, non-health benefits, including cognition and school performance.

Combining different interventions may yield what economists call economies of scope, thereby resulting in lower average costs.⁹⁹ However, this may also cause diseconomies of scope (increasing average costs), whereby adding more treatments overloads capacity, and the current intervention is delivered less efficiently.¹⁰⁰ This aspect deserves critical attention as integrated programs are rolled out. There are also a number of operational research questions that would require attention, including optimizing delivery systems, identifying appropriate drug combinations, devising appropriate monitoring, and evaluation. Finally, the safety of different IPT and anthelmintic drug combinations needs to firmly established before interventions can be rolled out.

CONCLUSIONS

TOP ABSTRACT INTRODUCTION PREDICTED PATTERNS OF CO... EPIDEMIOLOGY OF CO-INFECTION IMMUNE CONSEQUENCES OF CO... IMPACT OF CO-INFECTION ON... COMBINED CONTROL PROPOSED RESEARCH AGENDA CONCLUSIONS REFERENCES

 
Early hypotheses on malaria–helminth interactions arose from studies documenting the potent immune responses evoked by helminths and the Th1/Th2 hypothesis. More recent attention has focused on the potential impact of co-infection on hemoglobin levels and the relevance of an integrated approach to controlling childhood anemia. However, the epidemiologic evidence base on co-infection is currently inadequate, and there is a need to adopt a credible, data-driven approach to resolve key scientific and programmatic questions. We have presented preliminary analysis of available data to study issues, but it is clear that further detailed study in a range of parasite transmission settings is warranted. We would argue that co-infection and its impact on anemia should be studied in the same rigorous way that single parasite species has been studied, thereby allowing the development of a realistic framework to prioritize resources and to anticipate potential intervention impact. Several opportunities for combining malaria control with anthelmintic treatment currently exist, and we would suggest that combined intervention would be particularly relevant for vulnerable populations who are at the highest risk for anemia such as children and pregnant women. However, relevant interventions should be tailored to the epidemiologic conditions so that resources are optimally targeted.

Received January 5, 2007. Accepted for publication February 23, 2007.

Acknowledgments: The authors thank Lani Stephenson and Caroline Shulman for allowing us to re-analyse their data.

Financial support: SB is supported by a Wellcome Trust Research Career Fellowship (081673). SB and PJH acknowledge support of the Albert B. Sabin Vaccine Institute’s Human Hookworm Vaccine Initiative (HHVI) funded by the Bill and Melinda Gates Foundation. RP is supported by a Medical Research Council DTA-funded studentship. RWS is a Wellcome Trust Principal Research Fellow (079080) and acknowledges the support of the Kenyan Medical Research Institute.

^* Address correspondence to Simon Brooker, Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK. E-mail: simon.brooker{at}lshtm.ac.uk

Authors’ addresses: Simon Brooker, Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK, Telephone: 44-207-927-2614, E-mail: simon.brooker{at}lshtm.ac.uk. Willis Akhwale, Division of Malaria Control, Ministry of Health, PO Box 20750, Nairobi, Kenya, E-mail: head.nmcp{at}domckenya.or.ke. Rachel Pullan, Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK, E-mail: rachel.pullan{at}lshtm.ac.uk. Benson Estambale, Institute of Tropical and Infectious Diseases, University of Nairobi, PO Box 19676-00202, Nairobi, Kenya, E-mail: bestambale{at}uonbi.ac.ke. Sian Clarke, Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK, E-mail: sian.clarke{at}lshtm.ac.uk. Robert W Snow, Malaria Public Health and Epidemiology Group, Centre for Geographic Medicine, KEMRI/Wellcome Trust Research Laboratories, Nairobi, Kenya, E-mail: rsnow{at}nairobi.kemri-wellcome.org. Peter J Hotez, Department of Microbiology and Tropical Medicine, The George Washington University, 2300 Eye Sreet, NW, Washington, DC 20037 and Sabine Vaccine Institute, Telephone: 202-994-3532, E-mail: mtmpjh{at}gwumc.edu.

REFERENCES

TOP ABSTRACT INTRODUCTION PREDICTED PATTERNS OF CO... EPIDEMIOLOGY OF CO-INFECTION IMMUNE CONSEQUENCES OF CO... IMPACT OF CO-INFECTION ON... COMBINED CONTROL PROPOSED RESEARCH AGENDA CONCLUSIONS REFERENCES

 

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