Mapping the capacities of fixed health facilities to cover people at risk of gambiense human African trypanosomiasis.

BACKGROUND: The emphasis placed on the activities of mobile teams in the detection of gambiense human African trypanosomiasis (HAT) can at times obscure the major role played by fixed health facilities in HAT control and surveillance. The lack of consistent and detailed data on the coverage of passive case-finding and treatment further constrains our ability to appreciate the full contribution of the health system to the control of HAT.
METHODS: A survey was made of all fixed health facilities that are active in the control and surveillance of gambiense HAT. Information on their diagnostic and treatment capabilities was collected, reviewed and harmonized. Health facilities were geo-referenced. Time-cost distance analysis was conducted to estimate physical accessibility and the potential coverage of the population at-risk of gambiense HAT.
RESULTS: Information provided by the National Sleeping Sickness Control Programmes revealed the existence of 632 fixed health facilities that are active in the control and surveillance of gambiense HAT in endemic countries having reported cases or having conducted active screening activities during the period 2000-2012. Different types of diagnosis (clinical, serological, parasitological and disease staging) are available from 622 facilities. Treatment with pentamidine for first-stage disease is provided by 495 health facilities, while for second-stage disease various types of treatment are available in 206 health facilities only. Over 80% of the population at-risk for gambiense HAT lives within 5-hour travel of a fixed health facility offering diagnosis and treatment for the disease.
CONCLUSIONS: Fixed health facilities have played a crucial role in the diagnosis, treatment and coverage of at-risk-population for gambiense HAT. As the number of reported cases continues to dwindle, their role will become increasingly important for the prospects of disease elimination. Future updates of the database here presented will regularly provide evidence to inform and monitor a rational deployment of control and surveillance efforts. Support to the development and, if successful, the implementation of new control tools (e.g. new diagnostics and new drugs) is crucial, both for strengthening and expanding the existing network of fixed health facilities by improving access to diagnosis and treatment and for securing a sustainable control and surveillance of gambiense HAT.

Introduction

Alongside the continued, albeit geographically limited, engagement of bilateral cooperation and Non-Governmental Organizations (NGOs), it was the commitment of private sector in 2001 to support WHO that marked a turning point in the fight against human African trypanosomiasis (HAT) [1]. From that moment, control actions by the National Sleeping Sickness Control Programmes (NSSCPs) improved across the continent, and a dramatic decrease in the number of gambiense HAT cases followed. The annual number of cases reported to WHO by disease-endemic countries dropped by 73% from 25,865 in 2000 to 7,106 in 2012 [2].

This observed drop in cases reported was accompanied and made possible by strengthened capacity of NSSCPs to perform active and passive case-detection, as well as an improvement in reporting [3]. The withdrawal of NGOs which focused on HAT emergencies (while in the early 2000 31 NGO-run programmes were active, in December 2012 only two were registered) and the difficulties in recruiting patients for clinical trials to develop new tools for HAT control, support the notion that the trend reported over the last decade reflects a real abatement of disease transmission in the field. Furthermore, substantially improved management and reporting of data – embodied in the HAT Atlas initiative [4,5] – also contribute to the reliability of the available epidemiological information.

Nevertheless, because of the occurrence of gambiense HAT in remote rural areas and the weakness of health systems, an unspecified number of sleeping sickness cases still escape detection and reporting. For gambiense HAT little is known of the true extent of this underreporting phenomenon, and specific studies are needed to estimate its magnitude and thereby accurately to assess the progress made in curbing transmission globally. At the same time, some insights into the likelihood of underdetection/underreporting can be gained by looking at the distribution and intensity of control and surveillance activities involving both mobile teams and fixed health facilities.

Arguably, a narrow focus on active case-finding activities alone may give the impression that only a small proportion of the population at-risk of HAT is reached by control and surveillance activities. In fact, while recent estimates put the population at risk of gambiense HAT at approximately 57 million people [6,7], only an average of 2 million are screened every year by mobile teams (period 2000-2012) (data not shown). Active surveillance alone appears inadequate to ensure a satisfactory coverage of populations at-risk of gambiense HAT, and consequently it may seem reasonable to question the reported abatement in disease transmission. However, the role played by fixed health facilities embedded in the health system must be taken into account if a complete picture of the coverage and outcomes of HAT control and surveillance is to be drawn.

Indeed, control of gambiense HAT has relied, in addition to the impressive and well known active case-finding surveys carried out by mobile teams, also on the quiet contribution of passive screening performed in fixed health structures. For example, in the period 2000-2012, 93,561 cases of gambiense HAT (48.9% of the reported total) were diagnosed by passive case-finding carried out in fixed health facilities (Table  1).

Table 1

Cases of gambiense HAT diagnosed by active and passive case-finding (period: 2000-2012)

Country	Active cases		Passive cases		Total
	No	[%]	No	[%]	No
Angola	10,856	47.6	11,962	52.4	22,818
Benin	0	N.a.	0	N.a.	0
Burkina Faso	0	N.a.	0	N.a.	0
Cameroon	191	85.7	32	14.3	223
Central African Republic	5,095	60.0	3,396	40.0	8,491
Chad	1,984	53.8	1,701	46.2	3,685
Congo	3,276	66.3	1,667	33.7	4,943
Côte d’Ivoire	214	32.8	438	67.2	652
Democratic Republic of the Congo	69,971	54.6	58,199	45.4	128,170
Equatorial Guinea	126	68.5	58	31.5	184
Gabon	167	44.4	209	55.6	376
Gambia	–	–	–	–	–
Ghana	0	0.0	1	100.0	1
Guinea	525	49.7	531	50.3	1,056
Guinea-Bissau	–	–	–	–	–
Liberia	–	–	–	–	–
Mali	0	N.a.	0	N.a.	0
Niger	–	–	–	–	–
Nigeria	11	8.7	115	91.3	126
Senegal	–	–	–	–	–
Sierra Leone	0	N.a.	0	N.a.	0
South Sudan	4,140	25.0	12,399	75.0	16,539
Togo	0	N.a.	0	N.a.	0
Uganda	1,087	27.6	2,853	72.4	3,940
TOTAL	97,643	51.1	93,561	48.9	191,204

"-", no data reported.

"N.a." not applicable.

However, the lack of consistent and detailed data on the extent, capacities and coverage of passive case-finding and treatment constrains our ability to appreciate its full relevance in HAT control and surveillance. The present study aims to contribute to filling this gap.

The paper explores the geographic distribution and the diagnostic and treatment capabilities of fixed health facilities involved in gambiense HAT control and surveillance. It also aims to estimate the at-risk population potentially covered by passive case-finding and treatment by using Geographic Information Systems (GIS).

The inventory of this passive surveillance and treatment network provides the dimension of what is available today. At the same time, it gives insights into the work needed in terms of capacity development and improvement and expansion of the network, aiming at covering the whole population at risk.

The paper focuses on all endemic countries having reported gambiense HAT cases or having conducted active screening activities during the period 2000-2012 (i.e. Angola, Benin, Burkina Faso, Cameroon, Central African Republic, Chad, Congo, Côte d’Ivoire, Democratic Republic of the Congo, Equatorial Guinea, Gabon, Ghana, Guinea, Mali, Nigeria, Sierra Leone, South Sudan, Togo and Uganda). Capabilities for diagnosis and treatment in non-endemic countries have been reviewed elsewhere [8].

Rhodesiense HAT being characterized by different epidemiological patterns and approaches to disease control is not directly considered in this study.

Methods

Data collection

Fixed health facilities active in gambiense HAT control and surveillance were identified through direct interviews with the coordinators of the NSSCPs. Standardized forms were circulated requesting information on the name and location of the health structures, and on their diagnostic and treatment capabilities for HAT. The survey started in December 2012 and was completed in August 2013.

Diagnostic capabilities were categorized as follows. Clinical diagnosis (DxC) refers to the ability of health centres systematically to raise a clinical suspicion of trypanosomal infection and refer the suspect to the next level for further diagnosis or, if available, to perform it in the same facility. Serological diagnosis (DxS) concerns the capability of performing serological tests, thus identifying serological suspects. In this context, the serological test considered is the card agglutination test for trypanosomiasis – CATT [9]. Parasitological diagnosis (DxP) pertains to the competence of the health centre to execute any type of parasitological test in order to confirm trypanosome infection in clinical or serological suspects through direct observation of the parasite in body fluids. Health centres were also classified according to their capability to carry out the stage determination (DxPh) by examination of cerebrospinal fluid obtained through lumbar puncture.

Treatment capabilities were categorized in a similar fashion. This includes treatment of first stage infections with pentamidine (Tx1P), and treatment of second-stage cases with melarsoprol (Tx2M), eflornithine (Tx2E) or nifurtimox-eflornithine combination therapy – NECT (Tx2N).

All data on the HAT health centres provided by NSSCPs were harmonized and assembled in a database. Mapping was subsequently carried out using geo-referencing procedures already described [10].

Data analysis

Physical accessibility to HAT diagnosis and treatment was estimated through a cost-distance function. This type of geographical functions determines the shortest weighted distance (or least cumulated travel time-cost) from any location to the nearest destination. In our study, travel cost was measured in time units, and the destinations were represented by health facilities having capabilities for HAT diagnosis and treatment.

The time-cost of travel was derived from a recently generated ‘friction’ layer for Africa [11]. In this type of geo-spatial dataset, such GIS maps as land cover, water bodies, slope and road network are combined to empirically derived travel speeds to estimate a pixel-by-pixel travel time. Various means of transportation are contemplated, depending on the network infrastructure and terrain. The friction grid utilized in this study has a spatial resolution of approximately 1-km (i.e. 30 arcseconds). Importantly, affordability (or economic cost of travel) is not considered in this model.

The least time-cost path function enabled a map of accessibility to be generated across the study countries, whereby the shortest travel time to the closest HAT diagnostic or treatment facility was estimated for each pixel. This enabled population coverage to be assessed for different cumulated travel times. In particular, results are provided for three different travel time-cost thresholds: 1, 3 and 5 hours.

Total population coverage was subsequently stratified by level of gambiense HAT risk. To this end, a previously derived risk surface for gambiense HAT was used, which was based on spatial smoothing of HAT reported cases and human population layers [7]. From this dataset three broad categories of risk were extracted: high and very high (≥ 1 HAT case per 103 people per annum – p.a.), moderate (≥ 1 HAT case per 104 people and < 1 HAT case per 103 people p.a.), and low and very low (≥ 1 HAT case per 106 people and < 1 HAT case per 104 people p.a.) (Figure  1).

Figure 1

The risk of infection in Africa. Adapted from [7]. Risk is based on the reported number of gambiense HAT cases in the period 2000-2009 and on Landscan™ human population layers for the same period [6]. As a backdrop, the predicted distribution of the palpalis group of tsetse flies is provided. The palpalis group (Genus: Glossina, subgenus: Nemorhina) includes all the major vector species of gambiense HAT.

For estimating both the total population coverage and the coverage of at-risk population, the dataset Landscan™ 2009 was used [12]. This was the same layer previously used to estimate at-risk population [7], and therefore it provided a precise baseline for comparison. Uncertainties and limitations of the available global human population layers, including Landscan™, have been discussed in a number of papers (e.g. [13,14]).

Ethical considerations

The study is based on the analysis of a database obtained through administrative data provided by health authorities in the selected countries. No experimental research was carried on humans nor on animals. The database does not contain any individual or attributable information. Therefore for this study no Institutional Review Board was sought and the Helsinki declaration and Ethical Guidelines for Biomedical Research were not applicable.

Results

Fixed health facilities for diagnosis and treatment of gambiense human African trypanosomiasis

Information provided by the NSSCPs revealed the existence of 632 fixed health facilities that are involved in the control and surveillance of gambiense HAT in disease-endemic countries.

Their diagnostic and treatment capacities are summarized in Table  2, while the complete list of health facilities including the names and geographical coordinates is provided in Additional file 1.

Table 2

Number of fixed health facilities providing diagnosis and treatment for gambiense HAT

	Diagnosis					Treatment						Total
	DxC	DxS	DxP	DxPh	Total Dx	Tx1P	Tx2M	Tx2E	Tx2N	Total Tx2	Total Tx
Angola*	19	19	18	17	19	17	12	13	0	13	17	19
Benin	3	3	0	0	3	0	0	0	0	0	0	3
Burkina Faso	2	2	2	1	2	1	1	1	0	1	1	2
Cameroon	8	0	7	7	8	9	6	5	5	6	9	9
Central African Republic	11	9	9	9	11	10	8	7	7	8	10	11
Chad	4	4	4	4	4	10	4	4	4	4	10	10
Congo	10	10	8	7	10	9	5	3	3	5	9	10
Côte d’Ivoire	4	4	1	1	4	4	1	1	1	1	4	4
Democratic Republic of the Congo	524	273	229	173	524	404	147	144	144	147	404	524
Equatorial Guinea	5	1	4	1	5	4	1	1	1	1	4	5
Gabon	1	1	1	1	1	4	2	2	2	2	4	4
Ghana	1	0	0	0	1	1	0	0	0	0	1	1
Guinea	3	2	2	2	3	2	1	1	1	1	2	3
Mali	6	1	1	1	6	1	1	1	1	1	1	6
Nigeria	5	5	5	5	5	5	5	0	0	5	5	5
Sierra Leone	0	0	0	0	0	0	0	0	0	0	0	0
South Sudan	10	6	7	7	10	10	7	7	7	7	10	10
Togo	2	2	0	0	2	0	0	0	0	0	0	2
Uganda	4	4	4	4	4	4	4	4	4	4	4	4
Total	622	346	302	240	622	495	205	194	180	206	495	632

Study area: disease-endemic countries having reporting cases or having conducted active screening activities during the period 2000-2012. DxC: clinical diagnosis; DxS: serological diagnosis; DxP: parasitological diagnosis; DxPh: disease staging. Tx1P: treatment of first-stage infection with pentamidine; Tx2M: treatment of second-stage infection with melarsoprol; Tx2E: treatment of second-stage infection with eflornithine; Tx2N: treatment of second-stage infection with nifurtimox-eflornithine combination therapy (NECT); Tx2: treatment of second stage.

*After closing the study, information was received that Angola upgraded the Tx2E centres to Tx2N.

Diagnosis is available in 622 facilities, 84.2% of which are found in the Democratic Republic of the Congo (DRC). Although all of the 622 centres are able to identify clinical suspects, only 56% of them are able to go further performing serological test. The number of centres able to carry out parasitological diagnosis (DxP) and disease staging (DxPh) decreases to 49% and 39% respectively, mainly due to the need for complex tools and highly skilled staff.

Access to treatment for gambiense HAT is slightly more limited (495 health centres – 81.6% of which in DRC). While all of these centres are able to offer treatment for first-stage disease, only 36.4% can offer first line treatment for second-stage disease (Tx2N). This is mainly due to the challenges inherent in the distribution and the administration of NECT.

Figure  2 shows the geographic distribution of the health structures involved in gambiense HAT diagnosis (A) and treatment (B). In this figure, no distinction is made between different levels of diagnostic or treatment capabilities. Separate maps showing the distribution of centres able to perform the various types of diagnosis and treatment are provided in Additional file 2. Distribution maps at the national and focus level will be made available from the WHO HAT web site ( http://www.who.int/trypanosomiasis_african/en/).

Figure 2

Geographic distribution of fixed health facilities having capacities for gambiense HAT diagnosis (A) and treatment (B). Data were collected by WHO between December 2012 and August 2013 from National Sleeping Sickness Control Programmes in the study countries (i.e. Angola, Benin, Burkina Faso, Cameroon, Central African Republic, Chad, Congo, Côte d’Ivoire, Democratic Republic of the Congo, Equatorial Guinea, Gabon, Ghana, Guinea, Mali, Nigeria, Sierra Leone, South Sudan, Togo and Uganda).

Diagnosis coverage by fixed health facilities of population at-risk of gambiense human African trypanosomiasis

The map of physical accessibility to HAT diagnostic facilities is shown in Figure  3. In the study countries, we estimate that 31, 85 and 154 million people are respectively within 1, 3 and 5 hours travel of a facility with capacity for HAT diagnosis.

Figure 3

Travel time (or physical accessibility) to health facilities having capabilities for diagnosis of gambiense HAT [hours]. Physical accessibility was calculated through a cost-distance function. Travel cost was measured in time units, and the destinations were represented by health facilities having capabilities for HAT diagnosis (Figure  2A). The time-cost of travel was derived from a ‘friction’ layer for Africa [11].

Focusing on gambiense HAT at-risk population, their coverage by diagnostic facilities is summarized in Table  3. Our analysis indicates that 23.4, 40.2, and 47.4 million people at risk are respectively within 1, 3 and 5 hours travel of a facility with capacity for gambiense HAT diagnosis. This corresponds to 41, 71, and 83% of the total at-risk population. For the 10-hour travel threshold, the coverage of at-risk population is 96% (Additional file 3).

Table 3

People at risk of gambiense HAT that are potentially covered by facilities with diagnostic capabilities

Risk category	People at risk	People at risk potentially covered by facilities with HAT-diagnostic capabilities
		≤ 1-hour travel		≤ 3-hour travel		≤ 5-hour travel
	(No. persons × 10 3 )	(No. persons × 10 3 )	% of at risk population	(No. persons × 10 3 )	% of at risk population	(No. persons × 10 3 )	% of at risk population
High and very high	5,162	2,481	48	3,963	77	4,516	87
Moderate	14,431	5,945	41	10,382	72	12,156	84
Low and very low	37,390	14,962	40	25,861	69	30,780	82
Total	56,983	23,387	41	40,207	71	47,452	83

People at risk are stratified by risk categories as defined in [7].

Coverage is not homogeneous across the risk categories, with higher risk categories being characterized by comparatively better coverage. For example, for populations at high and very high risk, coverage is estimated at 48, 77 and 87% for the travel time thresholds of 1, 3 and 5 hours respectively. These percentages decrease for moderate and for low and very low risk categories – the health systems deploying better equipped facilities and skilled staff in areas where transmission of the disease is more intense.

Full details for a range of travel-times, for all study countries and for all risk categories are provided in Additional file 3. These country-level data indicate that there are no major differences between countries in terms of the proportion of at-risk population potentially covered by HAT diagnostic facilities.

Cost-distance analysis was also conducted separately for the different types of diagnosis. Results are summarized in Table  4, while detailed data for a range of travel-times, for all study countries and for all risk categories are provided in Additional file 4.

Table 4

People at risk of gambiense HAT that are potentially covered by facilities with different types of diagnostic capabilities for HAT

Type of diagnosis	At-risk population potentially covered [%]
	≤ 1 hour travel time			≤ 3 hour travel time			≤ 5 hour travel time
	VH-H	M	L-VL	VH-H	M	L-VL	VH-H	M	L-VL
DxC	48	41	40	77	72	69	87	84	82
DxS	41	38	37	73	70	65	86	83	79
DxP	41	37	37	73	69	64	85	82	78
DxPh	41	35	35	72	68	63	85	81	78

DxC: clinical diagnosis; DxS: serological diagnosis; DxP: parasitological diagnosis; DxPh: disease staging. VH: Very high risk; H: High risk; M: Moderate risk; L: Low risk; VL: Very low risk. People at risk are stratified by risk categories as defined in [7].

Treatment coverage by fixed health facilities of population at-risk of gambiense human African trypanosomiasis

The map of physical accessibility to HAT treatment facilities is shown in Additional file 5. We estimate that in the study countries 27, 73 and 133 million people are respectively within 1, 3 and 5 hours travel of a facility with capacity for gambiense HAT treatment.

Looking at population at risk, the coverage by treatment facilities is summarized in Table  5, while full details for a range of travel-times, for all study countries and for all risk categories are provided in Additional file 6. Our analysis indicates that 21.6, 38.8, and 46.5 million people at risk are respectively within 1, 3 and 5 hours travel of a facility with capacity for gambiense HAT treatment. This corresponds to 38, 68, and 82% of the total population at risk. For the 10-hour travel threshold, the coverage of at-risk population is 95% (Additional file 6).

Table 5

People at risk of gambiense HAT that are potentially covered by facilities with treatment capabilities for HAT

Risk category	People at risk	People at risk potentially covered by facilities with HAT-treatment capabilities
		≤ 1-hour travel		≤ 3-hour travel		≤ 5-hour travel
	(No. persons × 10 3 )	(No. persons × 10 3 )	% of at risk population	(No. persons × 10 3 )	% of at risk population	(No. persons × 10 3 )	% of at risk population
High and very high	5,162	2,422	47	3,947	76	4,506	87
Moderate	14,431	5,601	39	10,211	71	11,995	83
Low and very low	37,390	13,563	36	24,620	66	29,924	80
Total	56,983	21,586	38	38,777	68	46,424	82

People at risk are stratified by risk categories as defined in [7].

Cost-distance analysis was also conducted separately for the different types of treatment. Results are summarized in Table  6, while detailed data for a range of travel-times, for all study countries and for all risk categories are provided in Additional file 7. All facilities involved in gambiense HAT treatment have capacity for treatment of the first-stage of the disease. Lower coverage is available for the treatment of the second-stage of the disease.

Table 6

People at risk of gambiense HAT that are potentially covered by facilities with different types of treatment capabilities for HAT

Type of treatment	At-risk population potentially covered [%]
	≤ 1 hour travel time			≤ 3 hour travel time			≤ 5 hour travel time
	VH-H	M	L-VL	VH-H	M	L-VL	VH-H	M	L-VL
Tx1P	47	39	36	76	71	66	87	83	80
Tx2M	38	34	27	70	66	62	84	81	76
Tx2E	38	33	32	70	66	59	84	80	72
Tx2N	31	30	26	62	63	52	74	77	64

Tx1P: treatment of first-stage infection with pentamidine; Tx2M: treatment of second-stage infection with melarsoprol; Tx2E: treatment of second-stage infection with eflornithine; Tx2N: treatment of second-stage infection with nifurtimox-eflornithine combination therapy (NECT). VH: Very high risk; H: High risk; M: Moderate risk; L: Low risk; VL: Very low risk. People at risk are stratified by risk categories as defined in [7].

Conclusions

The decreasing trend in the reported number of gambiense HAT cases has led to target the disease for elimination in the WHO Road Map on Neglected Tropical Disease [15]. However, the low number of people at risk covered by active case-finding surveys is often cited to raise doubts on the reliability of the reported figures. In this study we show that a narrow focus on the intensity of active case-finding is inadequate to fully describe the coverage of HAT control and surveillance activities. Gambiense HAT is a chronic disease that is characterized by a sufficiently long duration [16] to allow passive case detection in fixed health facilities to complement the coverage of active case detection. At the same time, the interval between infection and diagnosis in fixed health structure allowed the persistence and the spread of the disease. As a matter of fact, active screening by mobile teams that has been decisive in tackling the worrisome situation of HAT at the beginning of this century, can only be conducted in selected villages of determined areas of disease transmission. Covered locations are rarely visited more than once a year, and the interval between successive visits is often longer. Even on the occasion when a village is visited by a mobile team, coverage is unfortunately far from 100% [17]. Because of these limitations of active case-finding, the role of the fixed health facilities in gambiense HAT transmission areas has been extremely important to fill a part of the screening and coverage gap. Indeed, passive screening detected 93,561 cases during the period 2000-2012, which represent approximately half of the total cases reported.

The present analysis reveals the existence of a network of fixed health facilities involved in the passive control and surveillance of gambiense HAT. A census of the diagnosis and treatment capabilities was made for the 632 fixed health facilities identified. It must be stressed that our survey did not address the quality control of services provided in the fixed health facilities involved in HAT control and surveillance, nor did it explore population attendance. The results illustrate the substantial attempts made by the health system in disease-endemic countries in tackling the disease, although efforts on capacity building and equipment must be undertaken to get this network fully operational. Over 80% of the population at-risk lives within 5-hour travel of a fixed health facility offering diagnosis and treatment for gambiense HAT. The results also indicate that coverage for clinical diagnosis is the most widely available, while access to serological and parasitological diagnosis becomes progressively more difficult. This observation supports the notion that that the current test for serological screening (CATT), although very useful for serological mass screening by mobile teams, does not fulfil the requirements for its use in the rural health facilities where gambiense HAT is endemic – most notably because of the format (50 tests per vial) and the need for cold chain and electric power. The new Individual Screening Tests (IST, often called rapid diagnostic tests) do not require cold chain nor electric power, and they hold the potential to expand the network of fixed health facilities able to detect serological suspects – which is presently available only in 55.6% of the facilities able to detect clinical suspects – and therefore they could widen and improve access to gambiense HAT diagnosis [18]. Concerning parasitological diagnosis, the coverage gap can partly be ascribed to the cumbersome nature of and the skilled staff required by the current parasitological diagnostic tests. First evaluation on clinical samples of new molecular techniques procedures (i.e. the loop-mediated isothermal amplification — LAMP) has shown similar performance to conventional PCR [19]. However, LAMP is still more complicated than the parasitological methods available and requires further studies to assess its accuracy. Therefore it does not fulfil all requirements to replace the laborious process for demonstrating the presence of the parasite in body fluids of people giving positive results in serological screening tests. At this point in time, the weakness of laboratory capacities in the rural health facilities remains a challenge for parasitological diagnosis of gambiense HAT [20].

Concerning treatment, thanks to the fact that some cases diagnosed and staged in highest centres as first stage can be referred for treatment to lower health centres, 82% of the people at risk of gambiense HAT have access to a centre offering treatment for first-stage patients within a 5-hour travel-time, while 69% have access to a health care facility administering the recommended first line treatment for second-stage gambiense HAT (NECT) within the same travel-time threshold. These figures show that people affected by second-stage gambiense HAT have to make more efforts to receive appropriate treatment. This is mainly because of the complexity of administration and the demanding logistics of current first line treatment for second-stage gambiense HAT. The hopes to overcome these hurdles rest in the ongoing development of new drugs not requiring skilled staff and complex equipment (i.e. fexinidazole and oxaborol) [21,22]. An oral, safe drug, effective for both stages of the disease could greatly improve access to treatment; at the same time, it would remove the need for staging through lumbar puncture, which is not always well accepted and can only be offered by 38.5% of the facilities involved in the treatment of gambiense HAT.

In the light of the new challenges to achieve sustainable elimination of gambiense HAT, the meeting on HAT elimination held in Geneva in December 2012 [23] emphasized the importance of maintaining mobile teams in selected areas and in particular epidemiological circumstances, as well as the value of reinforcing the health system and involving it fully in passive control and surveillance. This message has been voiced by the disease-endemic countries [23] and in a recent WHO Expert Committee on HAT [2]. Strengthening and expanding fixed health facilities involved in control and surveillance to reach 100% of people at risk require the provision of appropriate tools and capacity building. Support from both international partners and from operational national teams is needed to monitor and evaluate the network, as well as to collect and analyze data obtained and to provide appropriate response.

It is important to note that two factors have contributed to the good performance of passive detection in recent years: the knowledge of the disease among health staff and among affected communities. This knowledge facilitates diagnosis both at the level of fixed health facilities, but also at the community level, where infected individuals can be identified and advised to visit a hospital for proper diagnosis and care. Retirement of skilled staff and the decreasing number of cases in the community reduce familiarity with the disease and can greatly decrease the effectiveness of passive diagnosis. A need exists therefore for capacity building of health staff, for less complicated control tools, and for awareness-raising campaigns among populations at risk of gambiense HAT.

Moreover, low attendance rates in some health care facilities (the average annual attendance rate of health services in DRC is estimated at 0.15 per inhabitant [24]) are unfortunately not only due to difficulties at the technical level (i.e. skilled staff and adapted tools) but are also at the structural level. Indeed, attendance of populations to health facilities does not depend only on physical accessibility, but also on economic and socio-cultural factors and on the perceived benefit of skilled care [25]. Furthermore, due to the location of the main fixed health structure (towns), passive screening is likely to address more urban than rural people. Therefore, attention must be paid to appreciate the level of attendance of population at risk of HAT (e.g. number of people screen by new IST by year and by village of origin), as well as their characteristics (sex, age, urban/rural, activities, etc.) in order to evaluate the coverage of fixed health facilities in the case of HAT surveillance.

On the other hand, attendance to facilities providing services of diagnosis of HAT does not mean that the tests available are applied automatically. Several visits are sometimes necessary before HAT diagnostic tools are applied, and awareness of staff in the presence of the disease is required to prescribe their use [26]. Continuous monitoring and evaluation are therefore needed, with a view to ensuring that an effective surveillance of gambiense HAT is in place to sustain the disease elimination process.

The data and coverage estimates herewith presented will be regularly updated, thus continuously providing evidence to inform a rational deployment of control and surveillance efforts. Coverage estimates of population at risk will also provide indicators to monitor the process of elimination of gambiense HAT [23].

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

PPS coordinated the study. GC supervised the technical aspects related to data management and GIS, and conducted the analysis. PPS and GC jointly drafted the manuscript. MP implemented geo-positioning procedures and managed the data. PPS, JRF, AD and JAR collated and screened the data used as input. PPS, JRF, RCM and JGJ coordinated and supervised the collaboration between WHO and FAO in the framework of the Programme Against African Trypanosomosis (PAAT). All authors have contributed to conceptualizing the manuscript, and commented on and approved the final draft.

Additional file 1

Fixed health facilities that are active in the control and surveillance of gambiense HAT. Table S1. Fixed health facilities that are active in the control and surveillance of gambiense HAT in Angola, Benin, Burkina Faso, Cameroon, Central African Republic, Chad, Congo, Côte d’Ivoire, Equatorial Guinea, Gabon, Ghana, Guinea, Mali, Nigeria, Sierra Leone, South Sudan, Togo and Uganda. Table S2. Fixed health facilities that are active in the control and surveillance of gambiense HAT in the Democratic Republic of the Congo.

Click here for file

Additional file 2

Geographic distribution of fixed health facilities having capacities for diagnosis of gambiense human African trypanosomiasis. Figure S1. Geographic distribution of fixed health facilities having capacities for clinical diagnosis of gambiense HAT (A) and serological diagnosis (B). Figure 2. Geographic distribution of fixed health facilities having capacities for parasitological diagnosis of gambiense HAT (A) and stage determination (B). Figure 3. Geographic distribution of fixed health facilities having capacities for treatment of gambiense HAT first-stage infections with pentamidine (A) and second-stage infection with melarsoprol (B). Figure 4. Geographic distribution of fixed health facilities having capacities for treatment of gambiense HAT second-stage infections with eflornithine (A) and with nifurtimox-eflornithine combination therapy (B).

Click here for file

Additional file 3

Diagnosis coverage by fixed health facilities of population at-risk of gambiense human African trypanosomiasis. Diagnosis coverage is provided for a range of travel-times, for all study countries and for all HAT-risk categories.

Click here for file

Additional file 4

Coverage for the different types of diagnosis. Annex_DxC.xlsx: Clinical diagnosis coverage is provided for a range of travel-times, for all study countries and for all HAT-risk categories. Annex_DxS.xlsx: Serological diagnosis coverage is provided for a range of travel-times, for all study countries and for all HAT-risk categories. Annex_DxP.xlsx: Parasitological diagnosis coverage is provided for a range of travel-times, for all study countries and for all HAT-risk categories. Annex_DxPh.xlsx: Disease staging coverage is provided for a range of travel-times, for all study countries and for all HAT-risk categories.

Click here for file

Additional file 5

Travel time (or physical accessibility) to health facilities having capabilities for treatment of gambiense HAT [hours]. Physical accessibility was calculated through a cost-distance function. Travel cost was measured in time units, and the destinations were represented by health facilities having capabilities for HAT treatment. The time-cost of travel was derived from a ‘friction’ layer for Africa [11].

Click here for file

Additional file 6

Treatment coverage by fixed health facilities of population at-risk of gambiense human African trypanosomiasis. Treatment coverage is provided for a range of travel-times, for all study countries and for all HAT-risk categories.

Click here for file

Additional file 7

Coverage for the different types of treatment. Annex_Tx1P.xlsx: Coverage for treatment of first-stage infection with pentamidine is provided for a range of travel-times, for all study countries and for all HAT-risk categories. Annex_Tx2M.xlsx: Coverage for treatment of second-stage infection with melarsoprol is provided for a range of travel-times, for all study countries and for all HAT-risk categories. Annex_Tx2E.xlsx: Coverage for treatment of second-stage infection with eflornithine is provided for a range of travel-times, for all study countries and for all HAT-risk categories. Annex_Tx2N.xlsx: Coverage for treatment of second-stage infection with nifurtimox-eflornithine combination therapy is provided for a range of travel-times, for all study countries and for all HAT-risk categories.

Click here for file