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Diagnostics for schistosomiasis in Africa and Arabia: a review of present options in control and future needs for elimination

Published online by Cambridge University Press:  27 August 2014

J. RUSSELL STOTHARD*
Affiliation:
Department of Parasitology, Liverpool School of Tropical Medicine, Liverpool, UK
MICHELLE C. STANTON
Affiliation:
Department of Parasitology, Liverpool School of Tropical Medicine, Liverpool, UK
AMAYA L. BUSTINDUY
Affiliation:
Evelina London Children's Hospital, St Thomas's Hospital, London, UK
JOSÉ C. SOUSA-FIGUEIREDO
Affiliation:
Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
GOVERT J. VAN DAM
Affiliation:
Leiden Parasitology Diagnostics Group, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
MARTHA BETSON
Affiliation:
Department of Production and Population Health, Royal Veterinary College, Hatfield, Hertfordshire, UK
DAVID WATERHOUSE
Affiliation:
Department of Parasitology, Liverpool School of Tropical Medicine, Liverpool, UK
STEVE WARD
Affiliation:
Department of Parasitology, Liverpool School of Tropical Medicine, Liverpool, UK
FIONA ALLAN
Affiliation:
Parasites and Vectors Division, Life Sciences Department, Natural History Museum, London, UK
AMIR A. HASSAN
Affiliation:
Department of International Public Health, Liverpool School of Tropical Medicine, Liverpool, UK
MOHAMMAD A. AL-HELAL
Affiliation:
Ministry of Health, Riyadh, Kingdom of Saudi Arabia
ZIAD A. MEMISH
Affiliation:
Ministry of Health, Riyadh, Kingdom of Saudi Arabia
DAVID ROLLINSON
Affiliation:
Parasites and Vectors Division, Life Sciences Department, Natural History Museum, London, UK
*
*Corresponding author. Department of Parasitology, Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK. E-mail: jrstoth@liv.ac.uk
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Summary

Within the World Health Organization 2012–2020 roadmap for control and elimination of schistosomiasis, the scale-up of mass drug administration with praziquantel is set to change the epidemiological landscape across Africa and Arabia. Central in measuring progress is renewed emphasis upon diagnostics which operate at individual, community and environmental levels by assessing reductions in disease, infections and parasite transmission. However, a fundamental tension is revealed between levels for present diagnostic tools, and methods applied in control settings are not necessarily adequate for application in elimination scenarios. Indeed navigating the transition from control to elimination needs careful consideration and planning. In the present context of control, we review current options for diagnosis of schistosomiasis at different levels, highlighting several strengths and weaknesses therein. Future challenges in elimination are raised and we propose that more cost-effective diagnostics and clinical staging algorithms are needed. Using the Kingdom of Saudi Arabia as a contemporary example, embedding new diagnostic methods within the primary care health system is discussed with reference to both urogenital and intestinal schistosomiasis.

Information

Type
Special Issue Article
Copyright
Copyright © Cambridge University Press 2014 
Figure 0

Table 1. Recommended treatment strategy with PZQ for schistosomiasis (modified from WHO, 2006)

Figure 1

Fig. 1. Schematic depicting the present diagnostic tools for schistosomiasis that are either commercially available or in widespread use within NCPs, e.g. during baseline surveys, drug efficacy investigations and cross-sectional or longitudinal follow-ups. No mentioned diagnostics can infer precisely the adult worm burden or level of overt disease so a rating system of ‘–’ (not applicable), ’?’ (questionable), ‘+’ (applicable), ‘++’ (desirable) and ‘+++’ (optimal) is used. At the individual level, the distinction between traveller or endemic and adult or child should be made as this might frame the timing of last exposure. In so doing this highlights the possibility of hyper-infection where juvenile and adult worms co-circulate or are sufficiently mature to have commenced egg production. The background history of treatment with PZQ is also important and might confound diagnostic methods such as serology. [Notes: (A) serology is the ‘gold’ standard for first diagnosis, especially in the UK when travellers have returned home by 3-month post-exposure; (B) urine sampling is the most convenient but analysis of semen and vaginal lavage is important; (C) several different reagent strips exist and useful for detection of infection and disease, e.g. albuminuria and creatinine.]

Figure 2

Fig. 2. Schematic depicting the additional diagnostic tools for detection of morbidity associated with schistosomiasis. In this instance, it is relatively unimportant to know the egg excretion or adult worm burdens of the child, since morbidity measures are directly observed and not inferred, but the setting in which they are used is context-specific. A rating system of ‘+’ (applicable), ‘++’ (desirable) and ‘+++’ (optimal) is therefore used in comparison to baseline and follow-up, and judged here annually, i.e. short-term changes, but the intervening period could potentially range across months, years or decades.

Figure 3

Fig. 3. Examples of the disease landscape in control and elimination settings taken from contemporary data. The panel in green depicts the distribution of 200 schools as recently surveyed in Namibia (left) when 60 children per school were examined by CCA-urine dipsticks and reagent strips for microhaematuria. Prevalence of general schistosomiasis by school is then ranked in ascending order in the associated bar chart below (dotted line – mean prevalence (7·9%) of infection across schools, where the disease is present; dashed line – mean prevalence (6·5%) of infection across all 200 schools; blue line – a descriptive trend line; median prevalence (3·3%)). In elimination settings, the distribution of schools with raised prevalence likely tracks those before with higher prevalence and now may require more aggressive MDA. While many schools (and those that remain to be sampled) likely trend towards absence of infection as inferred with CCA-urine dipsticks and reagent strips, these levels likely under-estimate the true prevalence of infection, especially if a more sensitive diagnostic and larger sample size of examined children was used (dotted line – mean prevalence (6·3%) of infection across schools where the disease is present; dashed line – mean prevalence (2·1%) of infection across all 200 schools; blue line – a descriptive trend line; median prevalence (0·0%)).

Figure 4

Fig. 4. (A) Idealized surface plot to depict how the number of diagnostic tests used increases as the prevalence by school declines. Within high-to-moderate prevalence schools less diagnostic tests are needed to guide local MDA; however, when prevalence declines towards low levels and becomes a fraction of 1%, the use of individual diagnostic tests will increase by 1–2 orders of magnitude at each evaluation. (B) Across this hypothetical surface that transitions from control to elimination interventions, there will be a tipping point when the costs for diagnostics outweigh that of MDA treatment(s). If more than 1 diagnostic tool or strategy is used concurrently then the ‘tipping’ point will be dynamic and context specific to the epidemiological landscape of either intestinal or urogenital schistosomiasis. At one end of this spectrum, with present diagnostic tools and methods, it will be much more expensive to prove the absence of infection rather than undertake unneeded MDA(s).

Figure 5

Fig. 5. Monitoring schistosomes in the environment using caged snails as sentinel miracidial traps. (A) Labelling laboratory bred Bulinus with enamel paint. (B) Plastic cage used to contain snails when deployed in freshwater habitat. (C) Submerged cage within Chaani stream tethered by string to an over-hanging branch. (D) Map of Unguja (inset) depicting Chaani school (cross) with an associated sketch map of the stream passing through Chaani. Along the stream snail cages were deployed at 7 monitoring stations for 2 days. Snails were then examined by PCR for evidence of schistosome DNA. Pie charts denote the prevalence of infection/exposure associated with each cage evidencing the presence of miracidia at 5 sites.

Figure 6

Fig. 6. Outline map of the KSA with capital Riyadh depicted. Major administrative boundaries are shown and associated status of schistosomiasis therein is indicated by shaded circles. (A) Al-Jouf; (B) Tabuk; (C) Hail; (D) Al-Madena and Al Monawarah; (E) Al Qasim; (F) Riyadh; (G) Najran; (H) Taif, Makkah, Jeddah, Al Qunfudhah and Alith; (I) Al-Baha; (J) Bishah and Assir; (K) Jazan.