Table 1.
Study no. | WHO Region | Country | Author & year | Study area (no. of communities) | No. of districts requiring MDA | No. examined | Indicator | Age (years) | Findings |
---|---|---|---|---|---|---|---|---|---|
1 | Africa | Benin, Burkina Faso, Ghana and Togo | Gyapong et al 200260 | 401 rural or semi rural communities representing IU from these four countries. | Not mentioned | 20,050 persons | Ag prevalence | ≥15 | Spatial analysis with RAGFIL data were tested in the four countries Benin, Bukina Faso, Ghana and Togo. The models could closely predict the Mf prevalences at all sampled points, with low or zero prevalence for Togo, Benin and eastern Ghana. This study provided the information that LF was more widely spread than it was thought to be earlier |
2 | South East Asia | Nepal | Sherchand et al, 200361 | 37 districts of 57 endemic districts | 33 out of 37 districts found endemic and require MDA | 4,488 persons | Mf, Ag and disease prevalence | ≥15 | Mapping was carried out in 37 districts in 2001 Results showed that 89% (33/37) of the districts were endemic and 11 had an Ag prevalence of more than 20%. The study also suggested the cross-benefits of different national intervention programs, particularly against TB and leprosy. |
3 | Americas | Haiti | Madsen V.E Beau de rochars 200462 | Whole country (133 communes or districts) | 117 of 133 (87.9%) required MDA | 22,365 children | Ag prevalence | 6-11- | The study was carried out to see the geographical distribution of LF in Haiti using the Ag survey among children aged 6–11 years among 113 communes of the country in 2001 (Rochars et al, 2004). The results when put across on maps indicated that LF was more widespread and suggested that the entire country will have to be considered for LF elimination programme. |
4 | Africa | Malawi | Ngwira et al, 200763 | 35 villages of 23 districts | 29 villages required MDA | 2,913 persons | Ag prevalence | ≥15 | A national map was developed which incorporates data from surveys in Karonga, Chikwawa and Nsanje districts, carried out in 2000. There is a marked decline in prevalence with increasing altitude. Further analysis revealed a strong negative correlation (R2=0.7 p<0.001) between altitude and prevalence. These results suggest that the lake shore, Phalombe plain and the lower Shire valley will be priority areas for the Malawi LF elimination programme. Implications of these findings as regards implementing a national LF elimination program in Malawi are discussed. |
5 | Africa | Rwanda | Ruberanziza et al, 200964 | Five districts | No MDA required | 797 persons | Ag prevalence | >15 | A rapid community-based mapping of LF was carried out in five districts of Rwanda by Ag surveys showed that only one was positive was LF and therefore it was declared that LF was not a public health problem in Rwanda |
6 | East Mediterranean | Sudan | Sturrock et al, 200965 | 43 villages of Northern Bahr-el Ghazal State | As per results, MDA is not required | Not mentioned | Ag prevalence | All ages | In a total of 43 villages in state, Ag surveys were carried out. This study used an integrated survey design for NTDs (STH, LF, schistosomiasis) to guide their control programme in the large area of Sudan. This approach was proved to be practical and simplified by reducing the survey work and costs. The exercise provided evidence that none of the areas needed MDA, confirming the cost-effectiveness of integrated mapping methods. |
7 | Africa | Nigeria | Iboh et al, 201266 | 4 communities, Yakkurr Govt | 4 communities required MDA | 785 persons | Ag and disease prevalence | All ages | Yakurr people of Cross River state of Nigeria living in four communities were tested for MF and LF disease. It was found that Mf and disease prevalence were 6.1 and 0.3%. These results were used to by the Government to expand the distribution of albendazole in the LF endemic region |
8 | Africa | Zambia | Shawa et al, 201367 | Luangwa district | Prevalence was 8.6%, require MDA | 546 persons | Mf,Ag and Ab prevalence | ≥1 | A pre-control epidemiological study for assessing the prevalence of infection (both Ag/MF), disease, and transmission and human perception aspects of LF. Results drug administration be initiated to accelerate this positive trend of decline in LF transmission in the area |
9 | Africa | Zambia | Mwase et al, 201468 | 15 districts (14 endemic and 1 non-endemic) | 64 of 108 study sites required MDA | 9964 persons | Ag prevalence | All ages | This study carried out Ag surveys, collected remote sensing data and did ecological niche modelling for filarial vectors distribution in the study area. Integrating all the above, it was shown that for areas with Ag prevalence ≥5% and those with ≥15%, land cover and land surface temperature respectively were significant predictors. The maps produced based on these indicated widespread occurrence of LF in Zambia, and the Ministry of Health in Zambia initiated mass drug administration iin late 2012, and scaled up this activity across the country in the next few years. |
10 | Africa | Ethiopia | Rebello et al, 201569 | 658 districts with 1,315 communities | 75 of 658 districts with 89 communities require MDA | 1,30,166 persons | Ag prevalence | ≥15 | These are results of the integrated mapping of LF and Podoconiosis in seven regional states and two cities. Of the 658 districts surveyed, 75 were endemic for LF. Including the previous data on LF endemicity, a total of 112 districts require MDA |
11 | South East Asia | India | Sabesan et al, 200070 | 289 districts studied | 257 of 289 found endemic and require MDA | Not mentioned | Mf and disease prevalence | All ages | Data from published studies on 289 districts was analyzed and showed that LF was endemic in 257 districts of 289 in India, |
12 | Africa | Nigeria | Awolola et al, 200471 | Akinyele local government area | Key informant method | 95 KIs | Filarial disease | >15 | Results suggest that the data from key informants on filarial disease cases is a rapid method to delimit areas with filariasis |
13 | South East Asia | India | Chhotray et al, 200572 | 24 villages from 2 districts of Orissa | All 110 villages found endemic and require MDA | 7304 persons | Mf and disease prevalence | All ages | This was a baseline study in 24,110 villages that were surveyed for Ag and Mf in Puri/Ganjam districts and concluded that LF was widely distributed in the coastal districts of Orissa. |
14 | South East Asia | Bihar | Das et al 200673 | 2 villages of Patna distirct | MDA is required in 2 villages | 1872 persons | Mf and disease prevalence | All ages | Results showed that both villages were highly endemic with an Mf rate of 8.4% and a disease rate of 12%. Vector infection and infectivity rates were 14% and 8.2% respectively indicating on-going tranmsission in the study villages and that MDA is necessary. |
15 | South East Asia | India | Singh et al, 200674 | 7 villages of Patna district | All 7 villages found endemic and require MDA | 1878 persons | Mf prevalence | All ages | A baseline epidemiological study in rural areas of Patna district during pre-MDA period. A total of 7 villages were surveyed in from Patna district. Results showed that while Mf prevalnce was 6.2%, there was no infection in the vectors |
16 | Americas | Brazil | Bonfim et al, 2009a75 | Municipality of Jaboatão dos Guararapes, | Not mentioned | 23,673 persons | Mf prevalence | ≥1 | The Social deprivation index was useful in quantifying social inequalities thereby help in planning intervention. The strata constructed based on the index was helpful in indicating a risk gradient, with 74.9% of the microfilaremia cases situated in the high-risk stratum. |
17 | Americas | Brazil | Bonfim et al, 2009b76 | Municipality of Jaboata ˜o dos Guararapes, | Not mentioned | 23,673 persons | Mf prevalence | ≥1 | The socio-environmental composite risk index (SRI) was useful in mapping areas with higher risk of infection. As SRI could stratify spaces by using available official data, it is considered an important tool for use in the worldwide LF elimination program |
18 | Africa | Congo | Hope et al, 201177 | 10 provinces and six cities | Not mentioned | Not mentioned | Mf prevalence | All ages | As the country is co-endemic for both loiasis and Onchocerciasis, a new mapping approach termed as Micro-stratification Overlap Mapping (MOM) is proposed prior planning MDA for LF . The authors reproduced the map with historical data of LF, overlapped with the maps of loiasis and onchocerciasis and provided key information about the ecology and transmission of W. bancroftivectors in DRC. These maps were a useful resource for national LF programme in countries with co-endemicity as they provide information on areas with risk of serious adverse events and requires extra precautions or alternative intervention strategies |
19 | Americas | Brazil | Brandao et al, 201178 | 24 districts- 484 census tracts | 13 of 24 districts were hyperendemic and require MDA | 8670 children | Mf prevalence | <=18 | Mapping of filarial infection (Mf) and morbidity among children/adolescents was carried out prior to implementation of MDA. Results showed that transmission was intense among the pediatric population in 54% of the surveyed districts .Spatial analysis showed that the localities in which the populations most exposed to filarial transmission were concentrated. |
20 | Americas | Brazil | Brandão et al, 201579 | Municipality of Jaboata ˜o dos Guararapes, State of Pernambuco | Not applicable | 8670 children | Mf prevalence | <=18 | The results on the survey on children and adolescents in combination with SRI (Bonfim et al, 2009) showed that the localities where the children most exposed to filarial transmission are concentrated. This index precisely measured the relationship between social deprivation and the prevalence of infection among children and cna be used in control and elimination activities. |
21 | Africa | Sierra Leone | Koroma et al, 201280 | 14 health districts | 14 districts require MDA | 1982 persons | Mf and Ag prevalence | ≥15 | Ag (ICT) survey was carried out in 14 health districts showed LF was endemic nationwide and that preventive chemotherapy was justified across the country. These data provided information for the NTDCP to design and implement MDA and the basis for future monitoring and evaluation of the national LF elimination programme. |
22 | Africa | Ethiopia | Shiferaw et al 201181 | 125 villages of 112 districts | 34 of 112 districts require MDA | 11,685 persons | Ag and disease prevalence | All ages | Though the overall Ag prevalence was 3.7%, its distribution was found to be heterogeneous in these villages. Of these 112 districts 34 had prevalence rates more than 5% (Range: 4–20%) and these data were used to provide a tentative map of LF distribution in the study area. |
23 | Africa | Nigeria | Okorie et al, 201382 | 134 sites | Not applicable | 55,026 persons | Mf and Ag prevalence | All ages | This review collated and mapped all LF data in Nigeria, to assess the extent of co-endemicity with loasis and determine the risk and benefits of different intervention strategies. It is suggested that integrating LF activities with that of STH and distributions of ITN/LLINs may have significant impact on both loasis and f LF. |
24 | Africa | Cameroon | Djeunga et al,201583 | 120 districts | 106 of 120 (88.3%) require MDA | 26,586 persons | Mf and Ag prevalence | ≥5 | With a purpose of providing a quick and easy estimate on filarial endemicity status of the 90% of health districts in Cameroon and to obtain a country-wide map on LF, Ag survey was carried out in 120 health districts showed that 88% were eligible for MDA. (Ag prevalence:3.3% (95% CI: 3.0–3.7%), |
25 | Africa | Malawi | Ngwira et al, 200284 | 12 villages, Shire valley, Songwe river | 12 study villags were require MDA | 685 adults | Ag prevalence | ≥20 | Mapping of LF areas was carried out using Ag surveys in Karonga, Chikwawa and Nsanje districts. Results suggest that the lake shore, Phalombe plain and the lower Shire valley were found to be the priority areas for the Malawi LF elimination programme. The map so created showed that infection with W. bancrofti was more widespread than previously appreciated. |
26 | Africa | Uganda | Onapa et al, 200585 | 45 districts | 19 of 76 sites require MDA | 17,533 children | Ag prevalence | 5–19 | An Ag survey was carried out among school children (5–19 years) in 15 districts. The study suggested that screening of school children for Ag was a simpler and useful approach to mapping the geographical distribution of LF. |
27 | Eastern Mediterranean | Egypt | Hassan et al, 199886 | Nile delta area covering 201 villages of 11 district | Not mentioned | Not mentioned | Mf prevalence | All ages | The first study on spatial analysis that looked into clustering of Mf prevalences (up to 2 km) at community level and showed heterogeneous pattern in filariasis transmission.Correlation between low Mf prevalence and higher humidity, low temperature and low rainfall were significant. |
28 | Africa | Africa | Gyapong et al 200187 | 87 communities selected using 25x25km grid sampling method; 30 communities of these were at 50x50km grids | Not mentioned | Not mentioned | Ag prevalence | >15 | A spatial sampling grid of 50km interval between villages was used for sampling villages for rapid assessment of filariasis endemicity using Ag. This approach of mapping was recommended to capture the cross-border foci, which was found to exist. It was suggested that this method would provide the information for effective treatment planning. |
29 | Americas | Brazil | Medeiros et al, 201288 | 27 districts of Jaboatao dos Guararapes Municipality | 24 districts require MDA | 23,673 children/adolescents | Mf prevalence | 1–18 | The data collected in an earlier study (Brandao et al, 2011), was used to identify the areas with high infection foci, applying kernel density approach on household level data. This method rapidly detected areas with highest concentration of infected cases and assisted the programme towards planning, monitoring, and surveillance of filariasis elimination activities. Infection in children/adolescents in combination with SRI showed that the localities where the children most exposed to filarial transmission were clustered and precisely measured the relationship between social deprivation and the prevalence of infection among children. |
30 | Africa | Ethiopia | Sime et al, 201489 | 659 districts with 1,315 communities | 75 of 659 districts require MDA | 1,29,959 persons | Ag prevalence | >=15 | The two studies demonstrated that an integrated nationwide mapping of podoconiosis and LF in 659 districts with 1315 communities showed that this approach was feasible, cost effective and expanded geographical coverage and rapidly made available the data for decision makers. |
31 | East Mediterranean | Sudan | Finn et al, 201290 | 14 counties from 2 states | 11 out of 14 counties require MDA | 3,980 persons | Mf prevalence | >=16 | This one is the extension of the integrated mapping exercise (Sturrock et al, 2009) to three states of Sudan. In this study, three of the NTDs schistosomiasis, loasis and LF were mapped at county level. One to three sites with LF disease cases within the counties were sampled purposively and 250 individuals ≥16 years were examined for Ag(ICT). Results indicated only in two states the prevalence of Ag was >2% and these were identified for MDA. |
32 | Africa | Uganda | Stensgaard et al, 201191 | Primary schools all over the country | Not mentioned | 17,533 children | Ag prevalence | 5-19 | A geo-statistical model was applied on the data collected in an earlier study (Onap et al, 2005) and predicted the LF and malaria prevalence in unsurveyed locations and determined the extent of geographical overlap of the two diseases. The model predicted areas with hyper-endemic W. bancrofti transmission and this was acclaimed to provide a better informed platform for integrated control by the health authorities of Uganda |
33 | Africa | Africa | Slater et al, 201292 | Africa | Not mentioned | Not mentioned | Not available | Not mentioned | Combining correlative spatial modelling approaches with mechanistic models linking climate envrionmental /population to parasite transmission provide a useful solution of improving spatial predictions |
34 | Africa | Africa | Slater et al.201393 | Africa | Not mentioned | Not mentioned | Not available | Not mentioned | A generalized linear spatial model fitted to the data on infection from published articles on Lf infection in Africa showed that the predicted LF prevalence to be highly heterogenous across Africa |
35 | Africa | Sub-saharan Africa | Moraga et al, 201594 | Eastern, Middle, Northern and Western | Not applicable | Not mentioned | Ag prevalence | All ages | Mapping of LF was carried by predicting LF prevalence by integrated application of geostatistical and mathematical models. Mf data from 1,145 surveys conducted between 1950 and 2000 and Ag data from the Ag surveys conducted in from 1990 to 2000 were used for model building and predictions. The predictions showed that LF transmission is highly heterogeneous and the maps are expected to guide intervention, monitoring and surveillance strategies as countries progress towards LF elimination. |
36 | Africa | Ethiopia, Tanzania | Gass et al, 201795 | Ethiopia-45 districts, Tanzania-11 districts |
Three of 45 districts in ethiopiarequire MDA | 40,868 children | Ag prevalence | 9–14 | A new tool for confirmatory mapping developed of LF and validated it against the mapping tool by WHO in 45 districts of Ethiopia and 10 MDA naïve districts of Tanzania. By avoiding unnecessary MDA in 52 districts, the confirmatory mapping strategy is estimated to have saved a total of $9,293,219. Particularly in low prevalence setting, this new tool was shown to have the potential to save time, money, resources and avoid unnecessary treatments. With the 2020 elimination targets on the horizon, the confirmatory mapping tool may prove to be particularly useful for “shrinking the map“ and conserving resources for use in areas where they are needed most. |
37 | Africa | Ethiopia | Sime et al, 201596 | 45 districts | 3 districts require MDA | 18,254 persons | Ag prevalence | 9–14 |
Abbreviations: LF, Lymphatic filariasis; DEC, Diethylcarbamazine; IVM, Ivermectin; Ag, Antigeneamia; Mf, Microfilaraemia; Ab, Antibody; MDA, Mass drug administration; ICT, Immunochromatographic Test; EU, Evaluation unit.