Abstract
Background
The Global Programme to Eliminate Lymphatic Filariasis (GPELF), launched in 2000, has the target of eliminating the disease as a public health problem by the year 2020. The strategy adopted is mass drug administration (MDA) to all eligible individuals in endemic communities and the implementation of measures to reduce the morbidity of those suffering from chronic disease. Success has been recorded in many rural endemic communities in which elimination efforts have centered. However, implementation has been challenging in several urban African cities. The large cities of West Africa, exemplified in Nigeria in Kano are challenging for LF elimination program because reaching 65% therapeutic coverage during MDA is difficult. There is therefore a need to define a strategy which could complement MDA. Thus, in Kano State, Nigeria, while LF MDA had reached 33 of the 44 Local Government Areas (LGAs) there remained eleven ‘urban’ LGAs which had not been covered by MDA. Given the challenges of achieving at least 65% coverage during MDA implementation over several years in order to achieve elimination, it may be challenging to eliminate LF in such settings. In order to plan the LF control activities, this study was undertaken to confirm the LF infection prevalence in the human and mosquito populations in three urban LGAs.
Methods
The prevalence of circulating filarial antigen (CFA) of Wuchereria bancrofti was assessed by an immuno-chromatography test (ICT) in 981 people in three urban LGAs of Kano state, Nigeria. Mosquitoes were collected over a period of 4 months from May to August 2015 using exit traps, gravid traps and pyrethrum knock-down spray sheet collections (PSC) in different households. A proportion of mosquitoes were analyzed for W. bancrofti, using dissection, loop-mediated isothermal amplification (LAMP) assay and conventional polymerase chain reaction (PCR).
Results
The results showed that none of the 981 subjects (constituted of <21% of children 5–10 years old) tested had detectable levels of CFA in their blood. Entomological results showed that An. gambiae s.l. had W. bancrofti DNA detectable in pools in Kano; W. bancrofti DNA was detected in between 0.96% and 6.78% and to a lesser extent in Culex mosquitoes where DNA was detected at rates of between 0.19% and 0.64%. DNA analysis showed that An. coluzzii constituted 9.9% of the collected mosquitoes and the remaining 90.1% of the mosquitoes were Culex mosquitoes.
Conclusion
Despite detection of W. bancrofti DNA within mosquito specimens collected in three Kano urban LGAs, we were not able to find a subject with detectable level of CFA. Together with other evidence suggesting that LF transmission in urban areas in West Africa may not be of significant importance, the Federal Ministry of Health advised that two rounds of MDA be undertaken in the urban areas of Kano. It is recommended that the prevalence of W. bancrofti infection in the human and mosquito populations be re-assessed after a couple of years.
Author summary
Mass drug administration (MDA) for the control of elephantiasis in the state of Kano in Nigeria, started in the year 2010. It was estimated that by 2015, the MDA programme will be extended to 11 remaining urban Local Government Areas (LGAs). However, MDA in urban areas faces specific challenges, the most prominent being the need to achieve coverage rates of 65% and above. As such MDA alone may not be sufficient to achieve the required programme impacts of reducing LF transmission to levels below which transmission cannot be sustained, and additional interventions may be required. This study set out to confirm the LF infection prevalence in the human and mosquito populations in three urban LGAs in Kano. Individuals were tested for signs of the disease, and mosquito samples were collected and also tested for the worms that cause the disease. The study revealed that of 981 people tested, none had circulating filarial antigen in the blood. However, the mosquitoes collected revealed the presence of the disease-causing worms, but the level of infection was low. The infection in the mosquitoes was also detected in two different types of mosquitoes. Based on the outcomes of this study, and evidence from other West African cities on the transmission of LF, the Federal Ministry of Health recommended that two rounds of MDA be undertaken in urban areas of Kano. A further reassessment after a couple of years is warranted.
Introduction
Lymphatic filariasis (LF) is a disease caused by Nematode worms that live in the lymphatic vessels of humans. There are three species of filarial parasites which infect humans—Wuchereria bancrofti, Brugia malayi and Brugia timori. In Africa, LF is caused by W. bancrofti and is transmitted by Anopheles mosquitoes in rural settings and Anopheles and culicine mosquitoes in urban areas [1,2]. LF is a significant health problem in many developing countries with about 1.4 billion people known to live in endemic areas, with one quarter potentially infected [3]. LF is also the second leading cause of permanent disability and undermines the social and economic welfare of affected people and communities [4]. The World Health Assembly passed a resolution in 1997 to eliminate LF as a public health problem by the year 2020. The World Health Organization has since 2000 launched a Global Programme to Eliminate Lymphatic Filariasis (GPELF) [5]. Annual mass treatment with single-dose diethylcarbamazine (DEC) or ivermectin (IVM) in combination with albendazole (ALB) for 4–6 years is the principal tool of the elimination strategy. This has resulted in dramatic progress in reducing the prevalence of LF in many areas around the world through MDA [6].
The problem of urban LF remains a matter of debate, yet it is recognized as being a key challenge to the ongoing global efforts to eliminate LF as a public health problem [7]. This is, in part, due to the challenges of translating MDA procedures that were developed for rural areas to the urban environment, with its distinctive patterns of human organization and behaviour, and in part due to the proliferation of potential urban vectors in poorly planned urban settlements [2]. In West Africa where Anopheles mosquitoes are the main vectors of LF and Culex plays little, if any, role in LF transmission, the status of urban transmission remains ill- defined as studies of LF transmission in cities in Sierra Leone and Guinea found no evidence of transmission [8,9]. Given the rapid expansion of urban centres in West Africa over recent decades, driven by population increases, insecurity and rural-urban migration the policy for treatment of these populations needs to be defined based on the evidence that transmission is ongoing and is likely to be sustained.
In the State of Kano, Nigeria, LF MDA started in 2010 and as of 2014, had reached 33 of the 44 Local Government Areas (LGAs) known to be LF endemic. Under the plans for 2015 LF MDA was to be extended to the remaining 11 LGAs including, six ‘urban’ LGAs. In 2010, baseline ICT prevalence surveys conducted in these six urban LGAs revealed high ICT prevalence rates between 2 and 22%. Given such high pre-control endemicity levels added to the challenges of MDA implementation in urban settings, it may be useful to confirm the prevalence rates before embarking on MDA. The main goal of this study was to verify previous survey results carried out in Kano urban settings which suggested that LF is endemic. Entomological surveys were then conducted to determine the intensity of ongoing transmission in large cities in the light of recent findings that LF transmission is not sustainable in the capitals of Sierra Leone [8] and Guinea [9] despite the presence of antigen positives.
Materials and methods
Ethics statement
Ethical Clearance (MOH/OFF/797/Ti/15) was given by the Kano State Ministry of Health Ethical Committee. Additionally, all surveys were conducted in accordance with the study protocol approved by the Institutional Ethics Review Board of the Liverpool School of Tropical Medicine (1189RS). All levels of leadership in the three Local Government Areas used for this study were met and their approval of the work was received. Written informed consent was obtained from all study participants above the age of 18 years, as well as parental consent from children below the age of 18 years. The children below 18 years provided oral consent for the study.
Study area and sites
Selection of study communities was based on a previous mapping by the Federal Ministry of Health, which indicated that urban LGAs were endemic for LF in Kano State. The mapping survey was undertaken in 2010, following WHO recommendations [10]. Communities were selected in LGAs, based on key informant identification of communities most likely to be endemic for filariasis. Following community sensitization, 50–100 consenting volunteers were invited to a designated place where they were examined for W. bancrofti antigenemia using the ICT cards. The results of the mapping survey are presented in Table 1. The current study was carried out in three of the urban LGAs included in the mapping survey (Ungogo, Fagge and Nasarawa). The LGAs and study communities were randomly selected among those having the lowest and the highest antigenemia rates recorded during the mapping survey. However, in Nasarawa LGA Goji, which was peri-urban, was replaced by Gama (an urban community). Jaba in Fagge LGA and Dankukuru in Ungogo LGA were also urban communities. In these LGAs neither LF MDA nor MDA for onchocerciasis based on ivermectin has been previously conducted. Kano State is located in Northern Nigeria, on latitude 110 30′ N—110 50′ N and longitude 80 30′ E—80 50′ E. The state is bound by four other states, all of which are endemic for LF- Katsina State to the North-west, Jigawa State to the North-east, Kaduna State to the South-west and Bauchi State on the South-eastern border. The status of Kano State as an LF endemic state has previously been established as a 1.6% prevalence was found in some villages [11].
Table 1. Results of 2010 mapping survey in Kano state.
IU | Locality | No. Examined | No. Positives | ICT Prevalence (%) |
---|---|---|---|---|
Ajingi | Ungu War Bai | 47 | 7 | 14.9 |
Albasu | Faragai | 50 | 1 | 2.0 |
Bagwai | Rimin Dako | 50 | 5 | 10.0 |
Bebeji | Ran Tan | 45 | 2 | 4.4 |
Bichi | YanaIami | 45 | 1 | 2.2 |
Bunkure | Bunkure | 50 | 1 | 2.0 |
Dala | DaIa | 50 | 6 | 12.0 |
Dambatta | Ajumawa | 47 | 2 | 4.3 |
Dawakin-Kudu | Kogar Kaza | 50 | 5 | 10.0 |
Dawakin-Tofa | Sarauniya | 47 | 3 | 6.4 |
Doguwa | Natsohuwa | 49 | 5 | 10.2 |
Fagge | Jaba | 50 | 2 | 4.0 |
Gabasawa | Gunduwa | 46 | 6 | 13.0 |
Garko | Kafinchiri | 50 | 2 | 4.0 |
Garun-Malam | G/Babba | 49 | 5 | 10.2 |
Gaya | Gaya North | 50 | 1 | 2.0 |
Gezawa | Mesa Tudu | 50 | 1 | 2.0 |
Gwale | Ja’en | 50 | 1 | 2.0 |
Gwarzo | Koya | 48 | 2 | 4.2 |
Kabo | Durun | 50 | 5 | 10.0 |
Kano Municipal | Sharada | 50 | 4 | 8.0 |
Karaye | Turawa | 39 | 4 | 10.3 |
Kibiya | Tarai | 50 | 1 | 2.0 |
Kiru | Bauda | 48 | 1 | 2.1 |
Kumbosto | Yan-Shana | 50 | 2 | 4.0 |
Kunchi | Shuwaki | 50 | 5 | 10.0 |
Kura | DaIiIi Kura | 100 | 2 | 2.0 |
Madobi | Rikadawa | 50 | 1 | 2.0 |
Makoda | Makoda city | 50 | 3 | 6.0 |
Minjibir | Wasai | 35 | 2 | 5.7 |
Nasarawa | K/Goji | 50 | 11 | 22.0 |
Rano | Rano S/G | 49 | 5 | 10.2 |
Rimin Gado | Rimin Gado | 50 | 4 | 8.0 |
Rogo | Tajaye | 42 | 4 | 9.5 |
Shanono | Marabutawa | 50 | 4 | 8.0 |
Sumaila | SumaiIa | 49 | 4 | 8.2 |
Takai | Faruruwa | 50 | 12 | 24.0 |
Tarauni | Dantsinke | 50 | 3 | 6.0 |
Tofa | Gajida | 50 | 6 | 12.0 |
Tsanyawa | Tsanyawa | 50 | 4 | 8.0 |
Tudun-Wada | Yar Yaso | 50 | 6 | 12.0 |
Ungogo | Dankunkuru | 50 | 6 | 12.0 |
Warawa | Jigawa | 50 | 1 | 2.0 |
Wudil | Darki | 50 | 2 | 4.0 |
Circulating filarial antigen (CFA) survey
A serological survey was carried out following the WHO guidelines [12] in May 2015. Individuals living in the selected communities were sensitized and informed by community health workers and health officers of the urban LGAs about the survey. The sensitization was done in churches and mosques and other socio-economic groups. Additionally, a town crier was used in the selected communities to inform community members about the survey and individuals ≥5 years willing to take part in the survey were then invited to a designated community location (schools and urban health center) where finger-prick blood samples were taken. We used the immune-chromatography card test (ICT) (Alere, NOW, ICT filariasis kits; Binax, Portland, USA) for the detection of circulating filarial antigen in finger-prick blood samples taken during the day. All batches of ICT cards used were tested for quality control using serum from LF positive individuals, provided by the Noguchi Memorial Institute for Medical Research (NMIMR). All test results were read after 10 minutes according to the manufacturer’s instructions.
Mosquito sampling
Mosquitoes were collected over a 4-month period from May to August 2015, using exit traps, gravid traps and pyrethrum knock-down spray sheet collections (PSC) in different households. The use of these various trapping methods was to augment the number of samples collected and analyzed for the study. The estimated sample size was 1000 vector mosquitoes (100 pools of 20 mosquitoes per pool per site) required in order to estimate an infection rate of 1% with a power of 0.80 [13]. Mosquito collections were done in the same communities where the parasitological surveys were undertaken. According to the information provided by the district health officers of the three urban communities, mosquito collection points were also selected based on the observation of risk factors such as presence of mosquito breeding sites, increasing potential exposure of the population to mosquito bites.
Firstly, exit (window) traps, targeting host-seeking adults were installed in fifteen different randomly selected households, five in each LGA. Householders were asked to collect mosquitoes for 10-days, each morning, during the mosquito collection period—for which they received a small remuneration. This yielded a total of 600 sampling days (3 LGAs x 5 traps x 10 days x 4 months). Both exit traps and PSC were performed in different households on the same day. However, when mosquito catches were consistently low in any household, such households were replaced by others in the neighborhood.
Pyrethrum spray catches (PSC) targeting resting adult mosquitoes were carried out inside the sleeping room of three randomly selected households (different from those used for the exit trap) in each site. Each month the collection period lasted for 7 days, therein yielding a total sampling effort of 252 sampling days (3 LGAs x 4 months x 7 days per month x 3 households per sampling day). A different set of three houses was sampled on each of the seven sampling days per month. The PSC method consisted of spraying an insecticide (pyrethroid) in selected rooms. Mosquitoes were collected on a white sheet covering the floor space of the sleeping room 10 minutes after spraying the rooms.
Gravid trap collections were performed outside five randomly selected collection points in each LGA. Each month the collection period lasted 7 days therein yielding a total sampling effort of 420 days (3 LGAs x 4 months x 7 days per month x 5 traps / site). Gravid traps are highly efficient for sampling Culex species. The trap attracts females with an oviposition attractant medium contained in a pan below the trap [14]. Previous studies in West African cities have shown that the mosquito fauna is dominated by Culex species [8,9,15], as a result of the polluted breeding environments. While Culex is considered as a non-vector species in West Africa [16], it has been shown that parasite DNA can be identified in both vector and non-vector species after ingestion of parasite positive blood [17,18]. As such, identifying W. bancrofti parasite or DNA in any mosquito species is enough to reveal the presence of an infected individual. The use of Culex gravid traps was therefore to augment the chances of identifying infected mosquitoes in the study areas.
Mosquito processing
Each month, during the entomology survey mosquitoes collected by each trapping method were taken to the nearest suitable field laboratory for further processing. Mosquitoes collected were identified to the genus and species level using morphological identification keys [19,20]. Following identification, the specimens were placed individually in coded vials and kept dry in tins containing silica gel for future processing. The mosquitoes were then sent to the NTD Reference laboratory of the Noguchi Memorial Institute for Medical Research, for molecular identification and processing for W. bancrofti infection.
Species and molecular forms of Anopheles gambiae complex
For the species identification of the members of the An. gambiae complex, a maximum of 100 mosquitoes were processed from each community. Where the number was less than 100, all mosquitoes were processed.
Genomic DNA was extracted from the legs of each mosquito, using the boiling preparation method; the legs were crushed in 100ml of distilled water and boiled at 95°C for 10 minutes. The supernatant was subsequently used as template for the PCR. Mosquitoes in the An. gambiae complex were then identified to species and molecular forms using the PCR method of Fanello et al. [21].
Molecular identification of W. bancrofti DNA in mosquitoes
Mosquitoes were pooled according to community, trapping method and abdominal status. The pool range was 1–20. DNA was extracted from each pool using the Qiagen DNEasy tissue kit. The identification of W. bancrofti DNA was performed using the LAMP method [22] and the conventional PCR method [23], for confirmation. The LAMP method uses four primers that are simultaneously used to initiate DNA synthesis from the original unamplified DNA to generate a stem-loop DNA for subsequent LAMP cycling, and is thus faster, more sensitive and less susceptible to inhibition, compared to the conventional PCR method. We did not assess the infectivity rate of W. bancrofti stage specific L3 parasites. Only the presence of W. bancrofti DNA in mosquitoes was assessed, hence we cannot conclude on the status of transmission.
Quality control
All assays included a known positive control (DNA extracted from a mosquito pool seeded with W. bancrofti microfilariae), and a negative control. All W. bancrofti positive pools were confirmed, by repeating the assay a second time. If a positive pool turn negative after repeat, the sample is re-run a third time for confirmation. If it is still negative, it is considered negative.
Statistical analysis
The numbers of Anopheles and Culex mosquitoes were collated and calculated as percentages of the totals for site trapping method and month of collection. The pool screening software (Version 2.0) was used to estimate the maximum likelihood estimates (MLE) of the prevalence of W. bancrofti infection in the mosquitoes [24,25].
Results
During this survey, 305, 304 and 372 individuals were examined for circulating filarial antigen (CFA) from Fagge, Ungogo and Nasarawa, respectively, giving a total of 981 individuals (Table 2). None of the subjects had detectable circulating W. bancrofti parasite antigen.
Table 2. ICT results for three urban LGAs of Kano state.
L.G.A(Community) | Sex | No. Tested | Age Group (years) | No. (%) +ve | ||||
---|---|---|---|---|---|---|---|---|
<11 | 11–20 | 21–30 | 31–40 | >41 | ||||
Fagge (Jaba) | Females | 167 | 41 | 45 | 34 | 23 | 24 | 0 (0.0) |
Males | 138 | 32 | 51 | 27 | 11 | 17 | 0 (0.0) | |
Nasarawa (Gama) | Females | 158 | 17 | 19 | 15 | 15 | 92 | 0 (0.0) |
Males | 214 | 27 | 58 | 19 | 12 | 98 | 0 (0.0) | |
Ungogo (Dankunkuru) | Females | 126 | 35 | 39 | 25 | 14 | 13 | 0 (0.0) |
Males | 178 | 54 | 53 | 25 | 23 | 23 | 0 (0.0) | |
Total | Females | 451 | 93 | 103 | 74 | 52 | 129 | 0 (0.0) |
Males | 530 | 113 | 162 | 71 | 46 | 138 | 0 (0.0) |
A total of 19,690 mosquitoes consisting of 2,600 An. gambiae, 17,082 Culex mosquitoes and 8 mosquitoes belonging to other species were collected (Table 3). The number of Anopheles mosquitoes collected was low in the dry season months of May, June and July, but peaked at the beginning of the rainy season in August.
Table 3. Monthly collections of mosquito species in the three urban L.G.A.s of Kano.
Month | Species | L.G.A. (Community) | Total | ||
---|---|---|---|---|---|
Fagge (Jaba) | Nasarawa (Gama) | Ungogo (Dankunkuru) | |||
May | An. gambiae | 2 | 0 | 21 | 25 |
Cx. quinquefascitus | 1257 | 2613 | 2312 | 6182 | |
Other species | 0 | 0 | 1 | 1 | |
June | An. gambiae | 4 | 0 | 7 | 11 |
Cx. quinquefascitus | 435 | 628 | 144 | 1207 | |
Other species | 0 | 0 | 2 | 2 | |
July | An. gambiae | 22 | 0 | 9 | 31 |
Cx. quinquefascitus | 684 | 820 | 101 | 1605 | |
Other species | 0 | 0 | 0 | 0 | |
August | An. gambiae | 1304 | 76 | 1153 | 2533 |
Cx. quinquefascitus | 4545 | 1266 | 2277 | 8088 | |
Other species | 2 | 1 | 2 | 5 |
A proportion of the mosquitoes were dissected to determine infection with W. bancrofti. In all, 8,809 mosquitoes were dissected- 1324 An. gambiae and 7,485 Culex mosquitoes. All mosquitoes dissected to examine for larvae of W. bancrofti were negative suggesting that transmission was not taking place. Molecular identification of W. bancrofti identification revealed the presence of DNA in both An. gambiae and Culex mosquitoes. 602 pools of mosquitoes (pool ranges of 1–20) were analyzed out of which 62 pools were positive for W. bancrofti DNA. Overall, higher prevalences were observed in Anopheles compared to Culex (Table 4). The prevalence of W. bancrofti DNA in Fagge was 0.69% in the An. gambiae and 0.64% in Culex spp. In Nasarawa, the prevalence of DNA in samples was 6.78% and 0.48% in An. gambiae and Culex, respectively, while in Ungogo it was 4.55% and 0.19% in An. gambiae and Culex, respectively. The data was also analyzed based on the trapping method used (Table 5). It can be observed that the use of the PSC and the gravid traps resulted in higher infection rates, compared to the used of the exit traps.
Table 4. W. bancrofti infection rates in pools of Anopheles and Culex mosquitoes by PCR examined from the study sites.
LGA | Species | Abdominal Condition | No. of mosquitoes | Pools examined | Pools positive | MLE (%) | 95% CI |
---|---|---|---|---|---|---|---|
Fagge | An. gambiae | Unfed | 311 | 17 | 1 | 0.33 | 0.01, 1.67 |
Fed | 192 | 14 | 2 | 1.04 | 0.12, 3.61 | ||
Gravid | 83 | 5 | 1 | 1.24 | 0.04, 6.24 | ||
Total | 586 | 36 | 4 | 0.69 | 0.18, 1.77 | ||
Culex spp. | Unfed | 730 | 42 | 2 | 0.28 | 0.03, 0.97 | |
Fed | 265 | 19 | 3 | 1.21 | 0.23, 3.46 | ||
Gravid | 2636 | 141 | 17 | 0.69 | 0.38, 1.13 | ||
Total | 3631 | 202 | 22 | 0.64 | 0.38, 0.99 | ||
Nasarawa | An. gambiae | Unfed | 20 | 2 | 0 | - | - |
Fed | 14 | 2 | 1 | 18.37 | 0.49, 93.84 | ||
Gravid | 3 | 2 | 1 | 42.27 | 1.60, 96.87 | ||
Total | 37 | 6 | 2 | 6.78 | 0.81, 22.66 | ||
Culex spp. | Unfed | 1396 | 73 | 8 | 0.61 | 0.24, 1.22 | |
Fed | 365 | 24 | 2 | 0.57 | 0.07, 1.97 | ||
Gravid | 1463 | 81 | 5 | 0.35 | 0.11, 0.83 | ||
Total | 3224 | 178 | 15 | 0.48 | 0.26, 0.82 | ||
Ungogo | An. gambiae | Unfed | 302 | 18 | 9 | 3.96 | 1.69, 7.68 |
Fed | 84 | 8 | 3 | 4.86 | 0.94, 14.11 | ||
Gravid | 38 | 4 | 2 | 12.55 | 1.32, 55.99 | ||
Total | 424 | 30 | 14 | 4.55 | 2.34, 7.85 | ||
Culex. spp | Unfed | 1472 | 78 | 3 | 0.21 | 0.04, 0.60 | |
Fed | 497 | 32 | 0 | - | - | ||
Gravid | 657 | 40 | 2 | 0.31 | 0.04, 1.08 | ||
Total | 2626 | 150 | 5 | 0.19 | 0.06, 0.46 |
Table 5. W. bancrofti infection rates in pools of Anopheles and Culex mosquitoes by trapping method.
LGA | Species | Method | No. of mosquitoes | Pools examined | Pools positive | MLE (%) | 95% CI |
---|---|---|---|---|---|---|---|
Fagge | An. gambiae | Exit Trap | 346 | 20 | 1 | 0.29 | 0.009, 1.47 |
Cx. Gravid Trap | 13 | 1 | 1 | - | - | ||
Pyrethrum Spray | 227 | 15 | 2 | 0.89 | 0.11, 3.09 | ||
Total | 586 | 36 | 4 | 0.69 | 0.18, 1.77 | ||
Culex spp. | Exit Trap | 311 | 21 | 1 | 0.33 | 0.01, 1.67 | |
Cx. Gravid Trap | 3056 | 161 | 20 | 0.69 | 0.40, 1.10 | ||
Pyrethrum Spray | 264 | 20 | 1 | 0.38 | 0.01, 1.95 | ||
Total | 3631 | 202 | 22 | 0.64 | 0.38, 0.99 | ||
Nasarawa | An. gambiae | Exit Trap | 19 | 1 | 0 | - | - |
Cx. Gravid Trap | 0 | - | - | - | - | ||
Pyrethrum Spray | 18 | 5 | 2 | 24.49 | 2.69, 74.99 | ||
Total | 37 | 6 | 2 | 6.78 | 0.81, 22.66 | ||
Culex spp. | Exit Trap | 25 | 7 | 0 | - | - | |
Cx. Gravid Trap | 2841 | 147 | 12 | 0.44 | 0.21, 0.79 | ||
Pyrethrum Spray | 358 | 24 | 3 | 0.87 | 0.17, 2.51 | ||
Total | 3224 | 178 | 15 | 0.48 | 0.26, 0.82 | ||
Ungogo | An. gambiae | Exit Trap | 326 | 20 | 11 | 4.63 | 2.16, 8.50 |
Cx. Gravid Trap | 14 | 4 | 0 | - | - | ||
Pyrethrum Spray | 84 | 6 | 3 | 5.44 | 1.04, 16.10 | ||
Total | 424 | 30 | 14 | 4.55 | 2.34, 7.85 | ||
Culex. spp | Exit Trap | 737 | 26 | 0 | - | - | |
Cx. Gravid Trap | 1605 | 90 | 4 | 0.25 | 0.06, 0.65 | ||
Pyrethrum Spray | 284 | 34 | 1 | 0.17 | 0.005, 0.89 | ||
Total | 2626 | 150 | 5 | 0.19 | 0.06, 0.46 |
Molecular analysis of samples of the An. gambiae s.l. showed that most members of the species complex in the three study communities were An. coluzzii, previously known as the M form of An. gambiae s.s. Only one An. gambiae s.s. and one An. arabiensis were identified (Table 6).
Table 6. Distribution of members of the An. gambiae complex in the study sites.
LGA | No. analyzed | An. coluzzii (M Form) | An. gambiae s.s (S Form) | M/S | An. arabiensis |
---|---|---|---|---|---|
Fagge | 100 | 99 | 0 | 0 | 1 |
Nasarawa | 35 | 34 | 1 | 0 | 0 |
Ungogo | 100 | 99 | 0 | 1 | 0 |
Discussion
A cross-sectional ICT antigen detection survey carried out in May 2015 in the three urban LGAs of Kano state revealed that none of the 981 individuals aged ≥5 years had detectable levels of CFA. This contradicts the mapping results undertaken by the NTD program from the Federal Ministry of Health in the study area in 2010 (5 years earlier) which reported prevalence of circulating filarial antigen varying between 2% and 12% in these LGAs. It will be important to know what factors have led to the reduction in LF prevalence from the mapping records or if the ICT tests available were recording false positives. It is known that vector control interventions have the potential to impact LF elimination activities [26,27] and the level of vector control interventions implemented between previous mapping and the current study could provide further evidence for LF elimination using vector control in Africa. In Kano state free distribution of insecticide treated nets was reported, which showed ITN ownership increasing more than 10-fold, from 6% to 71% [28]. It is further possible that the insecurity in northern Nigeria could have contributed significantly to the increase in the number of people migrating from rural areas to cities such as Kano. 3.3 million persons were displaced due of Boko Haram attacks from Borno, Yobe and Adamawa States to Kano in the last 5 years [29]. As a result it may be possible that the LF prevalence in urban Kano in 2010 may be a result of rural to urban migration of antigen positive individuals that are likely to have acquired the infection elsewhere.
The two main mosquito species observed in the study sites were Culex quinquefasciatus and An. gambiae s.l. The higher proportion of An. coluzzii (formally the M form of An. gambiae) could be explained by the fact that these prefer ephemeral breeding sites, found more in urban and arid areas compared to An. gambiae s.s [30].
The study demonstrated the presence of An. gambiae s.l (principally An. coluzzi) and Culex quinquefasciatus specimens containing DNA of W. bancrofti in urban settings of Kano state. The prevalence of W. bancrofti DNA in Culex species from Fagge, Nasarawa and Ungogo LGAs were low (≤0.65%, 0.48% and 0.19% respectively) compared to An. gambiae in which 0.96%, 6.78% and 4.55% DNA positivity were recorded respectively. Despite these levels of W. bancrofti DNA prevalence, we are unable to confirm transmission by An. gambiae and Culex quinquefasciatus as vectors of W. bancrofti in Kano because the detection of parasite DNA in mosquitoes does not necessarily imply that LF transmission is ongoing in a given setting. Studies have shown that mosquitoes that fed on people with very low levels of MF sometimes ingest MF but rarely produced infective larvae [27]. In Fagge LGA, a low DNA detection level (0.69%) was recorded after processing 586 specimens of An. gambiae s.l. To confirm on-going LF transmission in Ungogo LGA where a high infection rate of W. bancrofti has been reported within An. gambiae species, the use of newer generation diagnostic tools, such as Wb123 [31], might prove useful in the identification of current and active transmission in the untreated population.
Similar to other investigations elsewhere [9,32], this study does point to the fact that molecular xenomonitoring methods are superior to parasitological surveys in humans. Nonetheless, defining the elimination thresholds using molecular xenomonitoring requires defining at which prevalence estimate, in mosquitoes, transmission can be said to be interrupted. The observed prevalence of parasite DNA in the mosquitoes fall within the cut-off points of 0.25%, 0.5% and 1% suggested for Culex areas [33–35], and 0.65% and 1.0% for Anopheles areas [13,36]. However, these cut-offs are only suggestive. The challenge therefore is to clearly define the elimination thresholds in vectors considering, vector control activities, vector species and abundance, biting rates etc.
A limitation to this survey was the inability to attain the required sample sizes, and as such, the wide confidence intervals, especially in the Anopheles collections indicate the need for much larger sample sizes. This could be due to the period of mosquito collection, as the mosquitoes were collected mostly during the dry season. As such the timing of xenomonitoring surveys, barring programmatic difficulties, is very important to make meaningful assessments. While Anopheles species are considered the major vectors of W. bancrofti in West Africa, earlier studies in rural settings of Kano State revealed L3 W. bancrofti infection in Culex quinquefasciatus [11]. Other studies elsewhere in Nigeria also revealed high infection and infectivity rates in Culex mosquitoes [37,38]. The identification of DNA of the parasite in both mosquito genera goes to lend support to these earlier findings. Further, An. coluzzii is believed to be a more efficient vector of LF compared to An. gambiae s.s [39,40], and the predominant nature of the former could imply a more efficient transmission of LF in the study locations. However, the promotion of environmental sanitation, coupled with vector control measures would go a long way in reducing LF infection and transmission. It is note-worthy that while the parasitological survey did not detect any infection, entomological surveys targeted at mosquito breeding sites identified infections, indicating these as being more sensitive in detecting any ongoing transmission. The parasitological surveys would also have identified infections in the community, if these were targeted at high-risk individuals such as those living in the vicinity of those breeding sites. Future assessments should therefore aim at identifying such individuals and stratifying the study communities so as to improve the outcome of parasitological surveys.
The higher local prevalence of infection observed in the mosquitoes, compared to lower aggregated values may reflect the spatial heterogeneity and clustering of LF prevalence and transmission [41,42]. Analyzing disaggregated data to the trap level (especially if the coordinates of trapping sites were taken) might have been useful in identifying focal areas of transmission, considering that mosquitoes have limited flight ranges. This study also reveals the utility of analyzing mosquitoes that have recently fed in determining mosquito infection prevalence [13]. As can be seen from Table 4, fed and gravid mosquitoes generally had higher infection levels compared to unfed mosquitoes. While some pools of unfed mosquitoes were found positive, parity dissection were not done in this study. This is because the mosquitoes sent to the NMIMR were stored dry on silica gel, and parity dissections are best done on fresh samples. Thus, the positive unfed mosquitoes may represent parous mosquitoes. Filaria DNA can be detected in mosquitoes that have processed W. bancrofti infected blood [43] and it is therefore important that molecular xenomonitoring studies aimed at analyzing unfed mosquitoes, limit these analyses to parous mosquitoes in order to minimize cost. Further the analysis based on the trapping methods (Table 5) reveal that trapping of indoor resting mosquitoes using the PSC and gravid mosquitoes may be better tools in xenomonitoring than exit traps.
Assessing W. bancrofti DNA within mosquito specimens is an indicator of the presence of infected humans and possible ongoing transmission [41,44]. However, confirming the transmission of LF requires the identification of infective stage larvae either through molecular methods or through dissection. While our results revealed widespread presence of W. bancrofti DNA in the mosquito population, we were unable to find a single positive mosquito given the number of mosquitoes dissected. Even though PCR is far more sensitive than dissection [13], a limitation of this study is that the mosquitoes dissected for W. bancrofti larvae were not also subjected to the more sensitive molecular analysis. Such mosquitoes were teased, examined and discarded, and only un-dissected mosquitoes were shipped to the NMIMR for analyses. Additionally, assessing W. bancrofti DNA within mosquitoes is not a good indicator to confirm the presence of L3 larvae of LF parasite. But due to financial and logistic challenges related to assessment of the infectivity–L3 –rate (because mosquito specimens should be stored with RNA processed through real time PCR technique) we were not able to evaluate the infectivity rate. Molecular xenomonitoring, however, proved more effective in this study and has also been shown to be a promising tool in post-MDA surveillance [32,33].
In conclusion, despite the fact that infection of W. bancrofti DNA within Anopheles gambiae specimens was above 1% in some areas, the decline in antigen prevalence from the 2010 survey to the current survey led to the conclusion that LF transmission is not sustainable in the three urban LGAs of Kano state. While the mosquito biting rate could not be determined in this study, it is believed that the low numbers of An. gambiae collected is not sufficient to sustain transmission, as studies suggest that 2700 to over 100,000 infective bites are required for a new infection to be established [45]. The increased use and coverage of insecticide treated nets [28], and other activities such as mosquito-proofing houses with screens and ceilings [46], will lead to a reduction in the indoor densities of mosquitoes. These in turn will further decrease the vector-human contact in these urban areas, and ultimately the inefficient transmission of the parasite by mosquitoes. Based on these we could not recommend MDA. However, the Federal Ministry of Health advised that two rounds of MDA should be undertaken. The first round of MDA was undertaken in 2016. This study demonstrated that entomological surveys are probably more sensitive indicators of the presence of infection. However, we could not demonstrate evidence for active transmission as we did not assess the infectivity rate for technical reasons. While no individual was found positive for antigen in the sample population surveyed, it is possible that antigen positive and potentially microfilaremic adults could potentially be contributing to transmission, especially since positive mosquitoes were detected. The use of the wb123 antibody assays may provide further evidence to the presence or absence of active transmission. Re-assessing the prevalence of W. bancrofti infection (both in the human and mosquito population) after a couple of years is recommended.
Acknowledgments
We are grateful to the leaders and inhabitants of the study communities and the field/research assistants who carried out the fieldwork.
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
The study was sponsored by NTD/United Programmes supported by DFID. DHM was supported in part from the COUNTDOWN partnership (grant ID PO 6407) a multi-disciplinary research consortium dedicated to investigating cost-effective, scaled-up and sustainable solutions, necessary to control and eliminate Neglected Tropical Diseases. COUNTDOWN is funded by UKAID, part of the Department for International Development (DFID). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Ottesen EA, Duke BO, Karam M, Behbehani K (1997) Strategies and tools for the control/elimination of lymphatic filariasis. Bull World Health Organ 75: 491–503. [PMC free article] [PubMed] [Google Scholar]
- 2.Simonsen PE, Mwakitalu ME (2013) Urban lymphatic filariasis. Parasitol Res 112: 35–44. doi: 10.1007/s00436-012-3226-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.WHO (2015) Global programme to eliminate lymphatic filariasis: progress report, 2014. Weekly epidemiological record / Health Section of the Secretariat of the League of Nations 90(38): 489–504. [Google Scholar]
- 4.Wijesinghe RS, Wickremasinghe AR, Ekanayake S, Perera MS (2007) Physical disability and psychosocial impact due to chronic filarial lymphoedema in Sri Lanka. Filaria J 6: 4 doi: 10.1186/1475-2883-6-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Ottesen EA, Hooper PJ, Bradley M, Biswas G (2008) The Global Programme to Eliminate Lymphatic Filariasis: Health Impact after 8 Years. PLoS Negl Trop Dis 2: e317 doi: 10.1371/journal.pntd.0000317 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Molyneux DH, Savioli L, Engels D (2017) Neglected tropical diseases: progress towards addressing the chronic pandemic. The Lancet 389: 312–325. [DOI] [PubMed] [Google Scholar]
- 7.Addiss D GAELF (2010) The 6th Meeting of the Global Alliance to Eliminate Lymphatic Filariasis: A half-time review of lymphatic filariasis elimination and its integration with the control of other neglected tropical diseases. Parasites and Vectors 3: 100 doi: 10.1186/1756-3305-3-100 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.de Souza DK, Sesay S, Moore MG, Ansumana R, Narh CA, et al. (2014) No Evidence for Lymphatic Filariasis Transmission in Big Cities Affected by Conflict Related Rural-Urban Migration in Sierra Leone and Liberia. PLoS Negl Trop Dis 8: e2700 doi: 10.1371/journal.pntd.0002700 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kouassi BL, de Souza DK, Goepogui A, Narh CA, King SA, et al. (2015) Assessing the presence of Wuchereria bancrofti in vector and human populations from urban communities in Conakry, Guinea. Parasites & Vectors 8: 492. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.WHO (2000) Operational guidelines for rapid mapping of bancroftian filariasis in Africa WHO/CDS/CPE/CEE/2000.9. Geneva, Switzerland: World Health Organization. [Google Scholar]
- 11.Dogara M, Nock H, Agbede R, Ndams S, Joseph K (2012) Entomological Survey of Mosquitoes Responsible for the Tranmission of Lymphatic Filariasis in Three Endemic Villages of Kano State, Nigeria. The Internet Journal of World Health and Societal Politics 7. [Google Scholar]
- 12.WHO (2011) Monitoring and epidemiological assessment of mass drug administration in the global programme to eliminate lymphatic filariasis: a manual for national elimination programmes Geneva: WHO; 1–79 p. [Google Scholar]
- 13.WHO (2009) The role of polymerase chain reaction techniques for assessing lymphatic filariasis transmission. WHO/HTM/NTD/PCT/20091: 1–59.
- 14.Barbosa RM, Souto A, Eiras AE, Regis L (2007) Laboratory and field evaluation of an oviposition trap for Culex quinquefasciatus(Diptera: Culicidae). Memórias do Instituto Oswaldo Cruz 102: 523–529. [DOI] [PubMed] [Google Scholar]
- 15.de Souza DK, Koudou BG, Bolay FK, Boakye DA, Bockarie MJ (2013) Filling the Gap 115 Years after Ronald Ross: The Distribution of the Anopheles coluzzii and Anopheles gambiae s.s from Freetown and Monrovia, West Africa. PLoS ONE 8: e64939 doi: 10.1371/journal.pone.0064939 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.de Souza DK, Koudou B, Kelly-Hope L, Wilson MD, Bockarie MJ, et al. (2012) Lymphatic filariasis vectors and the implications for accelerated elimination of Anopheles-transmitted filariasis in West Africa. Parasites & Vectors 5: 259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Ramzy RM (2002) Field application of PCR-based assays for monitoring Wuchereria bancrofti infection in Africa. Ann Trop Med Parasitol 96 Suppl 2: S55–59. [DOI] [PubMed] [Google Scholar]
- 18.Fischer P, Wibowo H, Pischke S, Ruckert P, Liebau E, et al. (2002) PCR-based detection and identification of the filarial parasite Brugia timori from Alor Island, Indonesia. Ann Trop Med Parasitol 96: 809–821. doi: 10.1179/000349802125002239 [DOI] [PubMed] [Google Scholar]
- 19.Gillies MT, Coetzee M (1987) A supplement to the Anophelinae of Africa south of the Sahara. S Afr Inst Med Res 55: 1–143. [Google Scholar]
- 20.Gillies MT, De Meillon B (1968) The Anophelinae of Africa South of the Sahara (Ethiopian Zoographical Region). South African Institute for Medical Research, Johannesburg 54: 343. [Google Scholar]
- 21.Fanello C, Santolamazza F, della Torre A (2002) Simultaneous identification of species and molecular forms of the Anopheles gambiae complex by PCR-RFLP. Med Vet Entomol 16: 461–464. [DOI] [PubMed] [Google Scholar]
- 22.Takagi H, Itoh M, Kasai S, Yahathugoda TC, Weerasooriya MV, et al. (2011) Development of loop-mediated isothermal amplification method for detecting Wuchereria bancrofti DNA in human blood and vector mosquitoes. Parasitology International 60: 493–497. doi: 10.1016/j.parint.2011.08.018 [DOI] [PubMed] [Google Scholar]
- 23.Ramzy RMR, Farid HA, Kamal IH, Ibrahim GH, Morsy ZS, et al. (1997) A polymerase chain reaction-based assay for detection of Wuchereria bancrofti in human blood and Culex pipiens. Trans R Soc Trop Med Hyg 91: 156–160. [DOI] [PubMed] [Google Scholar]
- 24.Katholi C, Toé L, Merriweather A, Unnasch T (1995) Determining the prevalence of Onchocerca volvulus infection in vector populations by PCR screening of pools of black flies. J Infect Dis 172: 1414–1417. [DOI] [PubMed] [Google Scholar]
- 25.Katholi CR, Unnasch TR (2006) Important experimental parameters for determining infection rates in arthropod vectors using pool screening approaches. Am J Trop Med Hyg 74: 779–785. [PubMed] [Google Scholar]
- 26.Kelly-Hope LA, Molyneux DH, Bockarie MJ (2013) Can malaria vector control accelerate the interruption of lymphatic filariasis transmission in Africa; capturing a window of opportunity?. Parasites & Vectors 6: 39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Bockarie MJ, Pedersen EM, White GB, Michael E (2009) Role of vector control in the global program to eliminate lymphatic filariasis. Annu Rev Entomol 54. [DOI] [PubMed] [Google Scholar]
- 28.Garley AE, Ivanovich E, Eckert E, Negroustoueva S, Ye Y (2013) Gender differences in the use of insecticide-treated nets after a universal free distribution campaign in Kano State, Nigeria: post-campaign survey results. Malaria Journal 12: 119–119. doi: 10.1186/1475-2875-12-119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Internal Displaced Monitoring Centre and the Norwegian Refugee Council (2014) Global Overview 2014 Report: people internally displaced by conflict and violence In: Lennard J, editor. Geneva: Imprimerie Harder. [Google Scholar]
- 30.de Souza D, Kelly-Hope L, Lawson B, Wilson M, Boakye D (2010) Environmental Factors Associated with the Distribution of Anopheles gambiae s.s in Ghana; an Important Vector of Lymphatic Filariasis and Malaria. PloS One 5: e9927 doi: 10.1371/journal.pone.0009927 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Steel C, Golden A, Kubofcik J, LaRue N, de Los Santos T, et al. (2013) Rapid Wuchereria bancrofti-specific antigen Wb123-based IgG4 immunoassays as tools for surveillance following mass drug administration programs on lymphatic filariasis. Clin Vaccine Immunol 20: 1155–1161. doi: 10.1128/CVI.00252-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Rao RU, Samarasekera SD, Nagodavithana KC, Punchihewa MW, Dassanayaka TDM, et al. (2016) Programmatic Use of Molecular Xenomonitoring at the Level of Evaluation Units to Assess Persistence of Lymphatic Filariasis in Sri Lanka. PLOS Neglected Tropical Diseases 10: e0004722 doi: 10.1371/journal.pntd.0004722 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Rao RU, Nagodavithana KC, Samarasekera SD, Wijegunawardana AD, Premakumara WDY, et al. (2014) A Comprehensive Assessment of Lymphatic Filariasis in Sri Lanka Six Years after Cessation of Mass Drug Administration. PLoS Negl Trop Dis 8: e3281 doi: 10.1371/journal.pntd.0003281 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Farid HA, Morsy ZS, Helmy H, Ramzy RMR, Setouhy ME, et al. (2007) A Critical Appraisal of Molecular Xenomonitoring as a Tool for Assessing Progress toward Elimination of Lymphatic Filariasis. The American journal of tropical medicine and hygiene 77: 593–600. [PMC free article] [PubMed] [Google Scholar]
- 35.Michael E, Malecela-Lazaro MN, Kabali C, Snow LC, Kazura JW (2006) Mathematical models and lymphatic filariasis control: endpoints and optimal interventions. Trends in Parasitology 22: 226–233. doi: 10.1016/j.pt.2006.03.005 [DOI] [PubMed] [Google Scholar]
- 36.Pederson EM, Stolk WA, Laney SJ, Michael E (2009) The role of monitoring mosquito infection in the global programme to eliminate lymphatic filariasis. Trends Parasitol 25: 319–327. doi: 10.1016/j.pt.2009.03.013 [DOI] [PubMed] [Google Scholar]
- 37.Udonsi JK (1988) Bancroftian filariasis in the Igwun Basin, Nigeria. An epidemiological, parasitological, and clinical study in relation to the transmission dynamics. Acta Tropica 45: 171–179. [PubMed] [Google Scholar]
- 38.Anosike JC, Nwoke BE, Ajayi EG, Onwuliri CO, Okoro OU, et al. (2005) Lymphatic filariasis among the Ezza people of Ebonyi State, Eastern Nigeria. Ann Agric Environ Med 12: 181–186. [PubMed] [Google Scholar]
- 39.Hunter JM (1992) Elephantiasis: a disease of development in north east Ghana. Social Science and Medicine 35: 627–645. [DOI] [PubMed] [Google Scholar]
- 40.Amuzu H, Wilson M, Boakye D (2010) Studies of Anopheles gambiae s.l (Diptera: Culicidae) exhibiting different vectorial capacities in lymphatic filariasis transmission in the Gomoa district, Ghana. Parasites & Vectors 3: 85. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Gambhir M, Bockarie M, Tisch D, Kazura J, Remais J, et al. (2010) Geographic and ecologic heterogeneity in elimination thresholds for the major vector-borne helminthic disease, lymphatic filariasis. BMC Biology 8: 22 doi: 10.1186/1741-7007-8-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Joseph H, Moloney J, Maiava F, McClintock S, Lammie P, et al. (2010) First evidence of spatial clustering of lymphatic filariasis in an Aedes polynesiensis endemic area. Acta Tropica 120 (Supplement 1): S29–S47. [DOI] [PubMed] [Google Scholar]
- 43.Pilotte N, Zaky WI, Abrams BP, Chadee DD, Williams SA (2016) A Novel Xenomonitoring Technique Using Mosquito Excreta/Feces for the Detection of Filarial Parasites and Malaria. PLoS Neglected Tropical Diseases 10: 1–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.de Souza DK, Ansumana R, Sessay S, Conteh A, Koudou B, et al. (2015) The impact of residual infections on Anopheles-transmitted Wuchereria bancrofti after multiple rounds of mass drug administration. Parasites & Vectors 8: 1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Southgate BA (1984) Recent advances in the epidemiology and control of filarial infections including entomological aspects of transmission. Trans R Soc Trop Med Hyg 78: 19–27. [DOI] [PubMed] [Google Scholar]
- 46.Ogoma SB, Lweitoijera DW, Ngonyani H, Furer B, Russell TL, et al. (2010) Screening mosquito house entry points as a potential method for integrated control of endophagic filariasis, arbovirus and malaria vectors. PLoS Negl Trop Dis 4: e773 doi: 10.1371/journal.pntd.0000773 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All relevant data are within the paper and its Supporting Information files.