Abstract
Introduction
Soil-transmitted helminth (STH) infections are predominately controlled by providing children with preventive chemotherapy with either albendazole or mebendazole. However, neither has a high efficacy against Trichuris trichiura. This low efficacy limits the overall effectiveness of the current STH control programmes against T. trichiura. It has been demonstrated that co-administering ivermectin with albendazole or mebendazole significantly increases the efficacy of current treatments, which may increase the overall effectiveness of control programmes.
Methods
Using a STH transmission mathematical model, we evaluated the potential impact of co-administering ivermectin with albendazole or mebendazole to treat T. trichiura within a preventive chemotherapy programme targeting children (2–15 year olds). We evaluated the impact in terms of reduction in prevalent infections, mean worm burden, and prevalence of heavy infections.
Results
Although the current treatment strategy reduced T. trichiura worm burden and prevalence of heavy infections, due to their poor efficacy the long term impact of preventive chemotherapy for children was smaller compared to the other STH. Co-administering ivermectin increased the projected impact of the preventive chemotherapy programme in terms of all three of the explored metrics, practically in high transmission settings. Furthermore, ivermectin co-administration greatly increased the feasibility of and timeframe for breaking transmission.
Conclusions
Co-administering ivermectin notably increased the projected impact of preventive chemotherapy in high transmission settings and increased the feasibility for breaking transmission. This has important implications for control programmes, some of which may be shifting focus from morbidity control to interruption of transmission, and some of which may be logistically unable to provide preventive chemotherapy twice a year as recommended. However, the benefit of co-administering ivermectin is limited by the fact that 2–5 year olds are often ineligible to receive treatment.
Keywords: Soil-transmitted helminth, Trichuris trichiura, Ivermectin co-administration, Elimination, Control, Mass drug administration
Abbreviations: ALB, albendazole; R0, basic reproductive number; ERRs, egg reduction rates; IVM, ivermectin; MBZ, mebendazole; Pre-SAC, preschool-aged; SAC, school-aged children; STH, soil-transmitted helminth; WASH, water, sanitation and hygiene; WHO, World Health Organisation
Highlights
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The impact of chemotherapy against Trichuris is smaller compared to what can be seen for the other soil-transmitted helminths.
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Co-administering ivermectin increases the projected impact of preventive chemotherapy.
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It also has the potential to interrupt transmission in some settings.
1. Introduction
The most common neglected tropical diseases (NTDs) are the soil-transmitted helminths (STH) which include Ascaris lumbricoides, Trichuris trichiura and the hookworms (Pullan and Brooker, 2012). The mainstay of the control of STH is regular preventive chemotherapy using either albendazole or mebendazole. Control programmes largely target these treatments at school-aged children (SAC) and preschool-aged children (Pre-SAC). In the majority of endemic areas, treatment is given annually, but in areas of intense transmission (defined as a prevalence of any STH greater than 50% in SAC), the WHO recommends that the treatment frequency is increased to at least twice a year (depending on resource availability) (World Health Organization, 2006). The aim of these WHO guidelines is to reduce the prevalence of heavy infections and their associated morbidity (World Health Organization, 2012).
However, although both albendazole and mebendazole have a high efficacy against A. lumbricoides (with cure rates above 78%), mebendazole does not effectively clear hookworm infections, and neither drug has an adequate efficacy against T. trichiura (Keiser and Utzinger, 2008, Vercruysse et al., 2011a, Levecke et al., 2014a) (albendazole has a cure rate of 28% (95% CI: 13%–39%) and mebendazole 36% (95% CI: 16%–51%) (Keiser and Utzinger, 2008)). This considerably lower efficacy of the standard treatments limits the overall possible effectiveness of preventive chemotherapy against T. trichiura, which is estimated to infect 464.6 million people worldwide (mainly in sub-Saharan Africa and Asia but also in parts of Latin America (Pullan et al., 2014a)). Heavy T. trichiura infections can lead to severe anaemia, growth retardation, and impaired cognitive development (Bundy and Cooper, 1989). In addition to these clinical and nutritional impacts, T. trichiura may have effects on the physical fitness of children (Yap et al., 2014).
In addition to the goals of reducing morbidity, there is growing interest in investigating the feasibility of interrupting transmission of STH (Bill & Melinda Gates Foundation, 2014, Brooker et al., 2015, Anderson et al., 2015) — although this is not yet the aim of current World Health Organisation (WHO) policy. In this regard, the poor treatment efficacy of albendazole and mebendazole against T. trichiura may hinder the success of STH elimination programmes as a whole — as residual T. trichiura infection may remain after the transmission of A. lumbricoides and hookworm is interrupted.
The impact of a STH control programme on T. trichiura may be enhanced by adding ivermectin to the treatment schedule. This approach has been demonstrated to significantly increase the treatment efficacy of both standalone albendazole and mebendazole against T. trichiura (Knopp et al., 2010, Beach et al., 1999, Belizario, 2003, Speich et al., 2015). Ivermectin is an anthelmintic which Merck & Co donate for the control of onchocerciasis and lymphatic filariasis (25 Years: The MECTIZANⓇ Donation Program).
In this paper we use mathematical models of STH transmission (Truscott et al., 2014, Truscott et al., 2015, Anderson et al., 2014, Turner et al., 2016) to evaluate the following factors; 1) the additional programmatic impact gained by co-administering ivermectin in terms of reducing mean worm burden, prevalent infections, and the prevalence of heavy infections; and 2) how ivermectin co-administration may influence the feasibility of interrupting the transmission of T. trichiura.
2. Methods
This analysis was performed using a fully age-structured deterministic model of the dynamics of STH transmission including simulation of parasite sexual reproduction (Truscott et al., 2014, Truscott et al., 2015, Anderson et al., 2014, Turner et al., 2016). In this paper we used the model parameters pertaining to T. trichiura which are described in more detail in the Supporting Table S1. It should be noted that the individuals treated each round are effectively chosen at random from the relevant age group(s) and the model does not currently address systematic non-compliance. A future publication will examine this issue in more detail using an individual-based stochastic model.
2.1. Fitted setting
The model parameters describing the age-specific exposure and contribution to the infection reservoir and level of transmission (R0) were estimated by fitting to data from the cross-sectional study of T. trichiura conducted in St. Lucia by Bundy et al. (1987) (Fig. 1). The study collected pre-treatment and post-treatment stool samples from 119 individuals across a full range of ages. The resulting data set contains a record for each individual consisting of age, eggs per gramme (EPG) of faeces and expelled worm burden. We estimated that in this setting, the overall R0 for the whole community was 1.75 (reported R0 estimates for T. trichiura often relate to the R0 for children only and are therefore higher).
The age profile of infection intensity (Fig. 1) is very consistent to that reported by a recent systematic review of epidemiological surveys of STH in Southeast Asia (Dunn et al., 2016).
2.2. Treatment efficacy
The model describes changes in the mean worm burden over time and age. Treatment impact within the model is defined in terms of the proportion of worms expelled after treatment. The efficacy values used (see below) are based on observed faecal egg reduction rates (ERRs) and not cure rates (the percentage of individuals who became helminth egg negative following treatment with an anthelmintic drug). The ERR of standalone albendazole (400 mg) was assumed to be 50% (Vercruysse et al., 2011a) and the ERR of albendazole–ivermectin co-administration was assumed to be 95%, based on a recent randomized controlled trial by Speich et al. (2015). This is consistent with a different trial which reported a similar ERR of 91% (Knopp et al., 2010). The impact of using mebendazole–ivermectin combination therapy was also considered within the sensitivity analysis (Knopp et al., 2010). Within this scenario, the ERR of standalone mebendazole (500 mg) was assumed to be 63% (Levecke et al., 2014a) and mebendazole–ivermectin co-administration to be 97%, based on the trial by Knopp et al. (2010).
Children under 15 kg in weight or 90 cm in height (generally under five years of age (Goldman et al., 2007)) are ineligible to receive ivermectin (World Health Organization, 2006) and were assumed to have only received albendazole or mebendazole. Individuals under one years of age were assumed to be ineligible for mebendazole treatment and individuals under two years of age ineligible for albendazole (400 mg) treatment. Though one year olds are sometimes provided a lower dose of albendazole (200 mg) (World Health Organization, 2006), this was not included in the model as the precise efficacy of this lower dose is unknown.
2.3. Programmatic scenarios and output
The model was used to simulate a programme targeting Pre-SAC and SAC, following WHO guidelines (World Health Organization 2012), and to compare standalone treatment to ivermectin co-administration using three different effectiveness metrics (described in Turner et al.'s (Epub ahead of print) work): 1) the total number of worm years averted (i.e. a year lived with a worm), 2) the total number of prevalent infection case years averted (i.e. the number of years lived with a prevalent infection prevented — not adjusted for diagnostic sensitivity), and 3) total number of heavy infection case years averted (i.e. the number of years lived with heavy infection prevented). Heavy infection was defined as having a worm burden above the age-specific thresholds for disease described in Table 1 (as defined in Chan et al.'s (1994) work and the 2010 Global Burden of Disease study (Pullan et al., 2014a)). It is important to note that the relationships between STH infection burdens (present and/or past) and morbidity are complex and not well understood (Brooker, 2010). We employed published estimates as detailed in Table 1.
Table 1.
Age class (years) | Number of worms — lower threshold | Number of worms — higher threshold |
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0–4 | 90 | 250 |
5–9 | 130 | 375 |
10 + | 180 | 500 |
The lower thresholds are based on empirical observations of worm numbers associated with developmental deficits (Chan et al., 1994). The higher thresholds are more conservative values intended to reflect more serious clinical consequences and to provide a lower boundary to the estimate of morbidity (Chan et al., 1994, Bundy et al., 2004).
In addition to the fitted transmission setting (R0 = 1.75), we also explored a setting with lower transmission (R0 = 1.25). These stratifications for transmission settings differ somewhat from the WHO prevalence categories for reasons described in Truscott et al.'s (2014) work. These R0's are different to previous studies on hookworm and A. lumbricoides (Truscott et al., 2014, Truscott et al., 2015, Anderson et al., 2014, Turner et al., 2016) due to the difference in the level of density dependence acting on female worm fecundity (Supporting Table S1). The sensitivity of the relative impact of ivermectin co-administration to different treatment coverage levels was also explored.
In addition to the increased programmatic impact regarding control of T. trichiura, the model was used to compare the feasibility of breaking transmission for each of the different treatment regimens, as well as the timespans required to do so. Breaking transmission is theoretically possible when worm levels are driven low enough that the probability of a female worm not encountering a mate in its host crosses a critical value. Below this, fertile egg production falls so low that the parasite population as a whole cannot be sustained (the so called ‘breakpoint’, Anderson and May, 1985).
3. Results
3.1. Controlling morbidity
When using standalone albendazole (monotherapy), annual targeted PC (Pre-SAC and SAC) elicited only a gradual reduction in the overall mean worm burden of T. trichiura (Fig. 2).
In lower transmission settings annual albendazole monotherapy at a high coverage (75%) was projected to be sufficient in controlling heavy infections in children (Fig. 3 and Supporting Fig. S2). However, these simulations indicate that in the fitted (higher) transmission settings annual albendazole monotherapy may be insufficient to fully control the prevalence of heavy infections (Fig. 3 and Supporting Fig. S2). The impact of albendazole monotherapy on heavy infections was greater, the higher the intensity threshold for heavy infection (Fig. 3 and Supporting Fig. S2).
Ivermectin co-administration increased the projected impact of the programme in terms of all three of the explored metrics; worm burden, prevalent case years, and heavy infection case years, especially in high transmission settings (Table 2). Of particular note, in a high transmission setting co-administering ivermectin increased the number of heavy infection case years averted by 36% (when using the lower intensity threshold (Table 1)). Although, some heavy infections may remain if treatment is only given annually (Fig. 3).
Table 2.
Treatment strategy | Worm years averted (per 100) | Prevalent case years averted (per 100) | Heavy infection case years averted — lower thresholda (per 100) | Heavy infection case years averted — higher thresholda (per 100) |
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Fitted (higher) transmission setting | ||||
Standalone albendazole | ||||
Annual targeted treatment | 24,290 | 52 | 55 | 19 |
Biannual targeted treatment | 35,733 | 158 | 78 | 22 |
Ivermectin co-administration | ||||
Annual targeted treatment | 33,653 | 118 | 75 | 22 |
Biannual targeted treatment | 40,981 | 390 | 84 | 23 |
Lower transmission setting | ||||
Standalone albendazole | ||||
Annual targeted treatment | 8,995 | 218 | 12.888 | 0.512 |
Biannual targeted treatment | 10,055 | 276 | 13.353 | 0.517 |
Ivermectin co-administration | ||||
Annual targeted treatment | 10,005 | 275 | 13.355 | 0.517 |
Biannual targeted treatment | 10,858 | 363 | 13.538 | 0.518 |
Results assume 75% treatment coverage of Pre-SAC and SAC. Two different transmission settings were explored; lower (R0 = 1.25), and higher (R0 = 1.75 — fitted). The analysis was performed with a ten year time horizon (comparing ten years of standalone treatment to ivermectin co-administration). Note that those under five years of age did not receive ivermectin and would only be treated with albendazole.
The thresholds for heavy infection are presented in Table 1.
If ivermectin (or another alternative treatment) could be given to Pre-SAC, the relative impact on heavy infections averted in a high transmission setting would further increase from 36% to 52% (Fig. 4 and Supporting Fig. S3) — when using the lower intensity threshold (Table 1).
In both explored transmission settings, the impact to annual ivermectin co-administration was comparable to that of increasing the treatment frequency of albendazole monotherapy to twice a year (Table 2). Biannual treatment is recommended by the WHO in high risk settings, if the resources are available — which is not always the case (World Health Organization, 2006). Even with biannual standalone treatment at a high coverage some heavy infections were projected to remain (Fig. 3). Consequently, even if biannual treatment were feasible, co-administering ivermectin (for both rounds) would still be beneficial in some settings (Fig. 3 and Table 2).
The assumed level of treatment coverage did not greatly influence the relative increase in effects gained by co-administering ivermectin (Supporting Table S2).
The number of worm years and heavy infection case years averted due to preventive chemotherapy was higher in the higher transmission setting (Table 2). In contrast, the number of prevalent case years averted was often larger in the lower transmission setting (Table 2). This occurred because of the highly nonlinear relationship between mean worm burden and prevalence (a large proportion of worms are in a small proportion of individuals) (Turner et al., Epub ahead of print). Consequently, at lower worm burdens, changes in mean worm load will often result in larger changes in prevalence (hence the number of prevalent case years averted can decrease as the level of transmission increases).
The relative increase in benefits yielded by ivermectin co-administration increased with the level of transmission intensity (Table 3). In lower transmission settings the relative benefit in terms of averting heavy infections (Table 3) was highly dependent on the assumed intensity threshold (Table 1) i.e. the higher the intensity threshold, the easier it is to control heavy infections, and the lower the projected benefit of co-administering ivermectin. When using the higher intensity threshold, the pre-control prevalence of heavy infections was almost negligible for this transmission setting (hence there was a low benefit of ivermectin co-administration) (Supporting Fig. S2).
Table 3.
Transmission intensity | Worm years averted | Prevalent case years averted | Heavy infection case years averted — lower thresholda | Heavy infection case years averted — higher thresholda |
---|---|---|---|---|
Higher | 39% | 126% | 36% | 15% |
Lower | 11% | 26% | 4% | 1% |
Results pertain to a targeted preventive chemotherapy programme treating Pre-SAC and SAC with 75% treatment coverage. Two different transmission settings were explored; lower (R0 = 1.25), and higher (R0 = 1.75 — fitted). The analysis was performed with a ten year time horizon (i.e. comparing ten years of standalone treatment to ivermectin co-administration). Note that those under five years of age did not receive ivermectin and would only be treated with albendazole.
The thresholds for heavy infection are presented in Table 1.
3.2. Breaking transmission
When distributing albendazole monotherapy, breaking transmission even in the lower transmission setting was very difficult without a very high sustained coverage of Pre-SAC and SAC (Fig. 5).
Ivermectin co-administration increased the feasibility of, and decreased the length of time required for, elimination (Fig. 5). As preventive chemotherapy coverage levels increased, feasibility of elimination improved and was possible in a shorter timeframe. The projections indicate that expanding treatment to include adults would only very slightly accelerate progress to elimination (by a maximum of two years). It should be noted that, even with ivermectin co-administration, elimination was often not possible within this timeframe in settings with high transmission.
3.3. Mebendazole–ivermectin co-administration
A standalone treatment of mebendazole was assumed to have slightly higher efficacy compared to standalone albendazole (Vercruysse et al., 2011a, Levecke et al., 2014a), and therefore it was projected to have a slighter larger impact (Fig. 5 and Supporting Fig. S4). However, ivermectin co-administration still notably increased the programmatic effectiveness of a mebendazole-based programme and the general trends remained the same (Supporting Fig. S4). This was found to be particularly important in the context of achieving elimination — as standalone mebendazole is still insufficient to break transmission in many settings, despite its higher efficacy (Supporting Fig. S4).
4. Discussion
4.1. Controlling morbidity
Though targeting children for preventive chemotherapy with the current monotherapy treatments reduces T. trichiura worm burdens, the impact on T. trichiura was lower than on A. lumbricoides (despite their similar age intensity profiles) (Anderson et al., 2014, Anderson et al., 2015, Truscott et al., 2014, Truscott et al., 2015).
In lower transmission settings and at a high coverage of Pre-SAC and SAC, monotherapy was projected to be effective in controlling heavy infections in children (Fig. 3 and Supporting Fig. S2) — though moderate intensity infections may still remain and have an impact on health (Fig. 1). However, these simulations indicate that in high transmission settings annual monotherapy may be insufficient to fully control heavy infections. Co-administering ivermectin increased the projected impact of the programme, particularly in high transmission settings (though some heavy infections remained when treatment was given annually).
Increasing the treatment frequency of albendazole monotherapy to twice a year was projected to have an equivalent impact to that of annual ivermectin co-administration. Biannual treatment is recommended by the WHO in high risk settings, if the resources are available — which is not always the case (World Health Organization, 2006). However, it is also important to recognise that increasing the treatment frequency of preventive chemotherapy results in a notable increase in programmatic costs and the resources needed for delivery (Turner et al., 2013, Turner et al., 2015a). Furthermore, biannual standalone treatment did not clear all heavy infections (Fig. 3). Consequently, if biannual treatment were feasible in a certain setting, co-administering ivermectin (for both rounds) would result in additional benefit (Fig. 3 and Table 2).
These findings were slightly more striking for programmes distributing albendazole than for mebendazole (as albendazole was assumed to have a slightly lower efficacy), but the general conclusions apply to both monotherapy treatments.
4.2. Breaking transmission
When using the current standalone treatments, elimination of T. trichiura was projected to be infeasible many settings (Fig. 5). This has particularly important consequences if STH control programmes shift their goals from control of morbidity to the interruption of transmission, as it indicates that without a change in approach, many endemic areas will be unable to meet new targets and treatment will have to be continued (which has important economic implications). Ivermectin co-administration greatly increased feasibility and lowered the timeframe of repeated preventive chemotherapy required for elimination (Fig. 5) — which could potentially generate programmatic cost savings (Turner et al., Epub ahead of print).
The coverage level of Pre-SAC and SAC was the most influential on feasibility of elimination. The projections indicate expanding treatment to adults through community-wide treatment would only very slightly accelerate progress to elimination in this setting (Fig. 5). The benefit of treating adults for T. trichiura was less than that estimated for A. lumbricoides, and much less than for hookworm, due to the assumed age profile of infection intensity (derived from a set of field studies in St Lucia (Bundy et al., 1987)) — which determines the proportion of the total worm population in adults (Truscott et al., 2014, Anderson et al., 2014, Turner et al., 2015b).
In the higher transmission setting our projections indicated elimination may not be feasible with preventive chemotherapy alone (even with ivermectin co-administration) (Figs. 5 and 6). This highlights the need for complementary control interventions such as water, sanitation and hygiene (WASH) (Pullan et al., 2014b) and improvements in health education.
4.3. The importance of preschool-aged children
Our projections indicate that if ivermectin or another alternative treatment could be given to Pre-SAC, heavy infections would be further reduced (Fig. 4 and Supporting Fig. S3) and the timeline to elimination would be shorter — at least in settings where Pre-SAC have a high proportion of the overall worm burden (Bundy et al., 1987) (Fig. 6). This analysis indicates that it would be advantageous for Pre-SAC to be eligible for any novel treatment strategy for T. trichiura (Albonico et al., 2008), particularly if programmatic goals shift towards breaking transmission (Fig. 6).
4.4. Limitations
Due to the limited availability of data, there remains uncertainty surrounding the parameterisation of the key epidemiological processes of T. trichiura transmission models. This is particularly true for the strength of the density dependence acting on female worm fecundity — which requires worm expulsion data to parameterise.
It is important to note that the projections regarding the added benefit of treating Pre-SAC and the limited impact of expanding mass treatment to include adults are highly dependent on the assumed age profile of infection intensity (Figs. 1 and 6) — which is used to parameterise the relative exposure of different age groups to eggs in the environment. Though, the absence of alternative age stratified intensity datasets from other settings remains an important limitation of this study, the assumed profile and lower burden in adults (Fig. 1) is consistent with the overall pattern found by a recent systematic review of epidemiological surveys of STH in Southeast Asia (Fig. 7A) (Dunn et al., 2016) and data from a study in Cameron (Mbuh et al., 2012) (Fig. 7B). That said there will be variations in this infection profile, and mass treatment of adults may be needed in some settings (furthermore pregnant women (a recognised risk group) may require treatment independent of this (Gyorkos et al., 2012)). More cross-sectional studies that measure both egg counts and worm burden are required to allow a range of different age profiles of infection intensity to be explored in the sensitivity analysis. It is important to note that converting EPG measurements to worm burden is not straightforward and would require a robust model of diagnostic sensitivity. This is an important area of future research for STH transmission models, as it will allow significantly more data to be used in model parameterization and validation.
Within the model, a worm burden above an age specific threshold was used as a proxy for disease (a standard method in the published literature (Chan et al., 1994, Turner et al., 2015a, Medley et al., 1993)). However, it is important to acknowledge that these thresholds (Table 1) are uncertain, and are likely to be influenced by a number of host specific factors such as nutritional status (Turner et al., 2016, Brooker, 2010). These results further highlight that the reduction in prevalence of infection is a poor effectiveness metric when evaluating the impact of preventive chemotherapy on morbidity (which is linked to heavy infections). Because the number of prevalent case years averted is often larger in lower transmission settings (Table 2) this metric would indicate it is more cost-effective to treat in lower compared to higher transmission settings (the opposite to what is observed when using metrics based on intensity (Turner et al., Epub ahead of print)).
It should be noted that uncertainty surrounds the precise treatment efficacies against T. trichiura — partly due to the limitations of the current widely used diagnostic tool of faecal egg examination (Nikolay et al., 2014). However, the relative increase in the treatment efficacy when co-administering ivermectin was parameterised based on randomized controlled trials (Knopp et al., 2010, Speich et al., 2015) and is supported by other studies (Beach et al., 1999, Belizario, 2003).
Furthermore, these projections do not account for any non-compliance to treatment and assume that everyone has an equal probability of taking each treatment. Consequently, the benefit of increasing the treatment frequency will probably be overestimated (as it does not account for individuals systematically missing both treatment rounds — which can reduce the benefit of increasing the treatment frequency (Turner et al., 2014a)).
4.5. Research needs
Ivermectin is currently donated for onchocerciasis and lymphatic filariasis control (25 Years: The MECTIZANⓇ Donation Program), but not directly for STH. Consequently, the actual financial cost of ivermectin and/or its potential economic value if it were to be donated for STH needs to be estimated to allow future cost-effectiveness analysis (an important gap for NTDs (Turner et al., 2014b, Turner et al., 2015a, Lee et al., 2015)).
It is important to consider that the use of ivermectin against T. trichiura will also have additional beneficial effects against Strongyloides infection (Datry et al., 1994), residual levels of onchocerciasis and lymphatic filariasis (Ottesen et al., 2008), and against co-endemic ectoparasites (such as scabies) (Dourmishev et al., 2005, Heukelbach et al., 2004).
Ivermectin co-administration is not the only potential solution for the limited efficacy of the standard treatments against T. trichiura, and there is ongoing research on other drugs/drug combinations (such as: triple dosing with standalone albendazole or mebendazole, pyrantel–oxantel (Albonico et al., 2002), oxantel pamoate–albendazole (Speich et al., 2015, Keiser et al., 2014) and papaya cysteine proteinases (Levecke et al., 2014b)). This analysis indicates it would be advantageous for Pre-SAC to be eligible for any new treatment combinations. Dynamic transmission models can be useful tools for comparing the impact of the different alternative drugs/combinations (not only for T. trichiura, but the other STH species as well). This will be important for gaining a comprehensive understanding of the impact of the different potential drugs on all of the STH.
An important programmatic consideration for treating continuously with drugs that do not effectively clear T. trichiura is the potential risk of drug resistance developing (Vercruysse et al., 2011b, Olliaro et al., 2011). The use of drug combinations may be an important method for delaying or avoiding drug resistance (as using drugs with different modes of action can make it harder for resistance to develop and spread). This aspect should be an important consideration in the evaluation of the various potential treatment alternatives for T. trichiura (Diawara et al., 2013). As STH programmes expand over the coming years, further research in methods for detecting resistance and controlling its spread is urgently needed (Vercruysse et al., 2011b, Barda et al., 2015).
A positive finding of this study is that current lymphatic filariasis treatment programmes, which include community-wide ivermectin–albendazole combination therapy, may be having a large impact on T. trichiura. This is supported by observations in the field (Massa et al., 2009). For this reason, future studies into the impact that scale-down or completion of LF control programmes will have on T. trichiura in co-endemic areas is required. This will become increasingly important as lymphatic filariasis programmes move towards elimination.
4.6. Conclusion
Although the current STH programmes providing child-targeted preventive chemotherapy with annual standalone albendazole or mebendazole reduce T. trichiura worm burdens, the impact for children is much lower compared to what can be seen for the other STH (Truscott et al., 2014, Truscott et al., 2015, Anderson et al., 2014). In addition, these simulations indicate that in high transmission settings the standard treatments may be insufficient to fully control prevalence of heavy infections. Co-administering ivermectin greatly increased the projected impact of the programme in these high transmission settings, particularly in settings where biannual treatment is not possible.
When using the current standalone treatments, breaking transmission was projected to be infeasible in most settings. Ivermectin co-administration greatly increased the feasibility of and timeframe for elimination. This has particularly important consequences if STH control programmes shift their goals to the interruption of transmission. However, the benefit of ivermectin co-administration is limited by the fact that Pre-SAC are mostly ineligible for ivermectin. It would advantageous for this age group to be made eligible for any novel treatment strategy against T. trichiura.
Funding
HCT and AAB are supported by London Centre for Neglected Tropical Disease Research (funded by GSK). JET and TDH are supported by the Bill & Melinda Gates Foundation (#OPP1033751) and the Partnership for Child Development. SJB is supported by a Wellcome Trust Senior Fellowship in Basic Biomedical Science (098045). RMA is also supported by the Bill & Melinda Gates Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Conflict of interest
Roy M. Anderson is a non-executive member of the board of GlaxoSmithKline (GSK). GlaxoSmithKline played no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Authors' contributions
HCT conducted the analysis and drafted the first version of the manuscript. JET coded the model and performed the parameter estimation. JET, AAB, TDH, SJB, and RMA contributed to the design of the study and writing of the paper. All authors read and approved the final version of the manuscript.
Acknowledgements
We thank Dr. Don Bundy for his comments on an early version of the analysis.
Footnotes
Supplementary data to this article can be found online at http://dx.doi.org/10.1016/j.parepi.2016.02.004.
Appendix A. Supplementary data
References
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