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Risk factors for lymphatic filariasis and mass drug administration non-participation in Mandalay Region, Myanmar

Abstract

Background

Myanmar commenced a lymphatic filariasis (LF) elimination programme in 2000. Whilst the country has made considerable progress since then, a number of districts have demonstrated persistent transmission after many rounds of mass drug administration (MDA). The causes of unsuccessful MDA have been examined elsewhere; however, there remains little information on the factors that contribute in Myanmar.

Methods

We conducted an analysis of factors associated with persistent infection, LF-related hydrocoele and MDA participation in an area with ongoing transmission in 2015. A cross-sectional household survey was undertaken in 24 villages across four townships of Mandalay Region. Participants were screened for circulating filarial antigen (CFA) using immunochromatographic tests and, if positive, for microfilaria by night-time thick blood slide. Individuals 15 year and older were assessed for filariasis morbidity (lymphoedema and, if male, hydrocoele) by ultrasound-assisted clinical examination. A pre-coded questionnaire was used to assess risk factors for LF and for non-participation (never taking MDA). Significant variables identified in univariate analyses were included in separate step-wise multivariate logistic regressions for each outcome.

Results

After adjustment for covariates and survey design, being CFA positive was significantly associated with age [odds ratio (OR) 1.03, 95% CI 1.01–1.06), per year], male gender (OR 3.14, 1.27–7.76), elevation (OR 0.96, 0.94–0.99, per metre) and the density of people per household room (OR 1.59, 1.31–1.92). LF-related hydrocoele was associated with age (OR 1.06, 1.03–1.09, per year) and residing in Amarapura Township (OR 8.93, 1.37–58.32). Never taking MDA was associated with male gender [OR 6.89 (2.13–22.28)] and age, particularly in females, with a significant interaction term. Overall, compared to those aged 30–44 years, the proportion never taking MDA was higher in all age groups (OR highest in those < 5 years and > 60 years, ranging from 3.37 to 12.82). Never taking MDA was also associated with residing in Amarapura township (OR 2.48, 1.15–5.31), moving to one’s current village from another (OR 2.62, 1.12–6.11) and ever having declined medication (OR 11.82, 4.25–32.91). Decreased likelihood of never taking MDA was associated with a higher proportion of household members being present during the last MDA round (OR 0.16, 0.03–0.74) and the number visits by the MDA programme (OR 0.69, 0.48–1.00).

Conclusions

These results contribute to the understanding of LF and MDA participation-related risk factors and will assist Myanmar to improve its elimination and morbidity management programmes.

Background

Lymphatic filariasis (LF) remains a major cause of permanent disability in tropical and sub-tropical countries [1]. Chronic infection with filarial worms causes lymphatic dysfunction leading to the progressive and irreversible swelling of the limbs and genitals. This results in substantial disability, discomfort, social stigma and economic disadvantage.

In response, the World Health Organisation (WHO) established the Global Programme to Eliminate LF in 2000, which is based on two intervention pillars. The first is to interrupt the transmission of LF through mass drug administration (MDA) of an annual dose of anti-filarial medications to at-risk populations [1]. The medications include albendazole plus either diethylcarbamazine (DEC) or ivermectin and are administered for a minimum of 5 consecutive years. The second component is to alleviate the suffering of those with existing LF-related disease through targeted management programmes.

Worldwide, the WHO South-East Asian Region has the highest burden of LF [1, 2]. Myanmar (formerly Burma) is one of the most affected countries in this region, with 41 million people (80% of the population) at risk [3, 4]. Filariasis in the country is distributed predominantly in the central and western dry zones, where baseline (pre-MDA) prevalence was 20 to 30% [3,4,5,6]. The parasite Wuchereria bancrofti is the sole reported cause of LF in the country where it is transmitted by the mosquito Culex quinquefasciatus [4, 7].

Myanmar commenced an MDA programme with DEC and albendazole in 2001. Since then, the country has made considerable progress toward the elimination of LF, but has also faced a number of challenges [3,4,5]. Medication supply and financial issues, as well as concerns over the reported incidence of serious adverse reactions, led to the interruption of a number of MDA rounds at both the national and regional levels [3, 8]. Whilst treatment coverage across the country has reportedly been high (60.0% to 100%), actual participation may have been much lower in some areas [3, 5, 9, 10].

Mass drug administration rounds have led to considerable reductions in LF prevalence in many areas of Myanmar [3,4,5]. A number of districts, however, have demonstrated persistent transmission despite many rounds of MDA, suggesting that the programme there had not been fully successful [3,4,5, 9, 10]. A number of reasons have been shown to account for the failure of MDA rounds to interrupt transmission in other countries [11, 12]. These include programmatic factors (the delivery and distribution of medication to eligible participants) or those relating to individual compliance (eligible participants taking the offered medication). Whilst there are common trends, the combination of factors that undermines success varies from region to region. Determining the causes of persistent transmission specific to Myanmar is crucial to ensuring effective elimination efforts.

Recently, an independent survey was conducted in four townships of Mandalay Region that had demonstrated ongoing transmission [9]. It found that 20% of the population had not participated in any of the six rounds of MDA. Of those who had, medication had only been taken on average 2.73 times. While this study provided an accurate estimate of LF burden and MDA participation, there remains no data on the potential causes of ongoing transmission or low medication uptake in Myanmar. We therefore conducted an analysis to determine the factors associated with persistent infection and non-participation (never taking MDA) in the country. Never taking MDA could be due to a number of factors, including lack of access (the programme did not reach the person to offer it), absence during MDA rounds, ineligibility due to age < 2 years, severe chronic illness or pregnancy, or active refusal.

Methods

Study setting

Myanmar is a lower-middle-income country in Southeast Asia which had a population of 51 million at the 2014 census [13]. The country is administratively divided into a union territory (Naypyitaw), seven states and seven regions. These 15 administrative areas are further divided into districts, townships, cities, towns, wards, village tracts and villages.

Mandalay Region is situated in the low-lying and dry central plains of Myanmar. The majority of its population (6 million in 2014) live rurally in villages, where the predominant occupation is farming [13]. The region’s capital, Mandalay, is the second largest city in Myanmar [13].

The study area included four of townships in the Mandalay Region (Amarapura, Patheingyi, Tada-U and Wundwin) where the prevalence of LF had been historically high [3, 14]. Patheingyi and Amarapura lie on the outskirts of Mandalay City, whilst Tada-U and Wundwin are located more rurally to the south. Amarapura, Patheingyi and parts of Tada-U Township lie close to the Irrawaddy River and its tributaries, whilst the Samon River passes through Wundwin. Amarapura also lies adjacent to the large Taung Tha Man Lake. A map of the study area is presented in Dickson et al. [9].

Study design

A cross-sectional household survey was conducted between February and March 2015 to assess the prevalence of LF infection and disease, participation in the MDA programme and risk factors for LF and never taking MDA. The study methodology has been reported previously alongside the results for LF prevalence and MDA participation [9].

In brief, a two-stage random cluster sampling method was used to select households from 24 villages across the four townships. Consenting household members were screened for LF infection, examined for LF-related morbidity and completed a risk-factor questionnaire.

  • Infection screening: Individuals 1 year and older were tested for circulating filarial antigen (CFA) (signifying current infection) using Binax Now Filariasis Immunochromatographic test (ICT) cards (Alere Inc, MA, USA) on finger-prick blood samples. Individuals who were antigen positive had a further 60 μl of finger-prick blood taken between 2200 and 0200 and applied to duplicate microscope slides using the three-line technique to assess for microfilaraemia (Mf).

  • Clinical examination: Under the supervision of medical doctors, trained health workers examined participants aged 15 years and older for the presence of acute and chronic filariasis-related morbidity. Suspected cases of hydrocoele were confirmed using ultrasound (Sonosite M-Turbo, Bothwell, WA, USA).

  • Risk factor questionnaire and GPS mapping: A pre-coded questionnaire was used to assess participation in the MDA programme as well as factors associated with LF infection, disease and never taking MDA. Prior to data collection, the questionnaire was translated into the Myanmar language (Burmese) and pre-tested with staff of the Vector Borne Disease Control Unit. Trained health workers completed a brief questionnaire with each participant (Additional file 1) followed by a more detailed questionnaire with the household head (Additional file 2). Direct observation was used to verify respondent answers where possible. A global positioning device was used to record the location and elevation of each household.

Data analysis

Independent variables: Data were collected on paper forms in the Myanmar language (Burmese) and entered into Excel format before transfer to STATA. The distance between households and large bodies of water was calculated in ArcMap 10.5 (ESRI, Redlands, CA). An electronic map of inland water bodies in shapefile format was obtained from Global Administrative Areas database (http://www.gadm.org/country). The distance between households and water bodies was then calculated using the Near function of the Proximity Tool. The shortest distance was determined using the planar (flat earth) method. An LF knowledge score was created from survey questions to assess the relationship between knowledge of LF and MDA participation. Participants received a point each if they had heard of LF and then if they correctly identified LF’s mode of transmission, symptoms and treatment, giving a maximum possible score of four points.

Univariate analyses: Statistical analysis was completed using STATA version 14.2 (StataCorp, Colleg Station, TX, USA). First, a series of univariate analyses were completed to assess the association between potential risk factors for each of the three outcomes: infection (CFA positive), LF related-hydrocoele and never taking MDA medication. A risk factor analysis for lymphoedema could not be undertaken as no cases were identified in the sample. Microfilaria positivity was not included as an outcome variable because there were a small number of Mf positive individuals and the results were collinear with CFA positivity.

The ‘svy’ prefix command was used to adjust for clustering effect and weight for sampling probability. T-tests, χ2 and logistic regression were used to compare variables and generate odds ratios adjusted for survey design. Independent variables with a p-value < 0.2 were included in the multivariate analysis. Circulating filarial antigen positivity and hydrocoele demonstrated a linear association with age, so age by year was used. In contrast, the association between never taking MDA and age had a bimodal distribution, so age by quintile was used. Total household income data demonstrated a skewed distribution, so the log of income was used to normalise its distribution.

Multivariate analyses: Next, separate backward multivariate logistic regression analyses were completed for each of the three outcomes with adjustment for survey design. The variable ‘Township’ was added at the end of the analyses to assess whether there were additional unmeasured fixed effects associated with township that had not been accounted for. Risk factors with a p-value < 0.05 were considered significant. Participants with incomplete data were excluded from analyses.

Results

Characteristics of the study population

A total of 450 households in 24 villages were sampled. Of those, 20 households (4.4%) were excluded: 15 were absent and 5 declined to participate. From the remaining 430 households, 1014 individuals participated in the study. The median age of participants was 36 years [interquartile range (IQR): 30, range: 1–86]. Significantly more females than males were included in the sample (63.7% vs 36.3%, p < 0.001) with no significant difference in age between genders. The median number of inhabitants per household was four (IQR: 3, range: 1–12) with an average household monthly income of 120,000 Myanmar kyat (85 USD) (IQR: 120,000, range: 5,000 to 1,500,000).

LF infection prevalence

Forty-six of the 1001 participants tested for infection by CFA were positive (crude prevalence: 4.6%, adjusted for age, gender and survey design: 2.63%). The median age of infected individuals was 46 years (IQR: 23, range 8–81 years). A cluster of five villages in Amarapura and Tada-U townships had a notably higher prevalence of infection compared to the remaining villages (mean 13.32% vs 1.14%). Microfilariae were found in 39.02% of antigen positive individuals, representing an overall adjusted Mf prevalence estimate of 1.03% (assuming all antigen negative persons were also Mf negative).

Hydrocoele prevalence

Fifteen of the 269 men aged over 15 years who were examined had an LF-related hydrocoele (crude prevalence 5.58%, adjusted for age and survey design 2.78%). The median age of males suffering from an LF-related hydrocoele was 55 years (IQR: 12, range: 48–71 years). The highest prevalence occurred in three villages in Amarapura Township where adjusted prevalence ranged from 21.53 to 36.81%.

MDA programme participation

Ninety-five per cent of households reported ever being visited by the MDA programme. Of these, the mean number of visits was 2.59. Ninety per cent of household members reported being present during the last MDA round in 2014. Eighty per cent of participants reported taking MDA medication at least once—in other words, 20% were systematic non-takers who had never taken MDA. Of those who had ever taken MDA, the mean number of times medication had been consumed was 2.73. Ten per cent of participants had actively declined to take MDA medication (despite it being offered) on at least one occasion. The most common reasons reported were a fear of side effects and a perception that co-morbidities were a contraindication.

Risk factors for LF infection

Table 1 outlines the univariate analysis of factors associated with LF infection (by CFA) adjusted for survey design (i.e. weighted for sampling probability and adjusted for clustering). Infection was positively associated with age (by year), male gender, household monthly income, residing in Amarapura township, the absence of screens/glass on household windows, the number of people per household room and having moved to one’s current village. Infection was also positively associated with never taking MDA medication as well as not taking it in the last year. Infection was negatively associated with elevation (per metre) and distance to the nearest body of water (per km).

Table 1 Univariate logistic regression analysis of association between infection (measured by CFAa) and individual/household risk factors; weighted and adjusted for survey design (n = 1001)

Table 2 demonstrates the factors significantly associated with LF infection following adjusted multivariate logistic regression. Forty-nine of the 1001 participants tested for infection were excluded from the final multivariate model due to missing data. Infection was positively associated with age (per year), male gender and the number of people per household room. Infection was negatively associated with elevation (per metre).

Table 2 Multivariate logistic regression analysis of association between infection (measured by CFAa) and individual/household risk factors; weight and adjusted for survey design (n = 952)

Risk factors for LF-related hydrocoele

Table 3 shows the univariate association between LF-related hydrocoele and potential risk factors. Hydrocoele was positively associated with age (by year) and residing in Amarapura Township and negatively associated with working in an outdoor environment. A relationship between hydrocoele, frequency of bathing and shoe wearing was hypothesised; however, there was insufficient variance in responses to assess the association.

Table 3 Univariate logistic regression analysis of association between LF-related hydrocoele and individual/household risk factors; weighted and adjusted for survey design (n = 269)

Table 4 summarises the significant factors associated with LF-related hydrocoele following multivariate logistic regression. All but 1 of the 269 men examined for hydrocoele were included in the multivariate model. Hydrocoele was positively associated with age (by year) and residing in Amarapura Township.

Table 4 Multivariate logistic regression analysis of association between LF-related hydrocoele and individual/household risk factors; adjusted for survey design (n = 268)

Risk factors for never taking MDA medication

Table 5 shows the univariate analysis of potential factors associated with never taking MDA medication, adjusted for survey design. Never taking MDA was positively associated with male gender, moving to one’s current village, declining offered MDA medication, residing in Amarapura and Tada-U Townships and the number of people per household room. Never taking medication was negatively associated with knowledge of LF, being visited by the MDA programme and the number of times visited. Since never taking MDA occurred more often in those who declined medication and had a lower knowledge of LF, a side analysis of the relationship between these two independent variables was conducted. Declining offered medication was significantly less likely in those with greater LF knowledge (OR = 0.68, p = 0.025).

Table 5 Univariate logistic regression analysis of association between never taking MDA medication and individual/household risk factors; weighted and adjusted for survey design (n = 1007)

Table 6 illustrates the factors significantly associated with never taking MDA following multivariate analysis, with adjustment for survey design. Of the 1007 participants who self-reported MDA participation, 163 were excluded from the final multivariate model as a result of missing data. Never taking MDA was positively associated with extremes of age (< 15 years and ≥ 60 years), male gender, moving to one’s current village of residence, ever declining MDA medication and residing in Amarapura Township. It was negatively associated with the number of visits by the MDA programme and the proportion of household members present during the last MDA.

Table 6 Multivariate logistic regression analysis of association between never taking MDA medication and individual/household risk factors; weighted and adjusted for survey design (n = 844)

The proportion of those who had never taken MDA by age varied between genders (Additional file 3: Figure S1). To assess the influence of gender on age, an interaction term was added to the multivariate analysis (Table 6). The analysis indicated that there was significant interaction between age and gender, with the effect of age much more apparent in females. Females aged 30 to 44 years are most likely to have taken medication, whilst males of all ages and females < 30 years or > 44 years old were more likely to have never taken MDA.

Discussion

This study has been the first to examine risk factors related to LF and MDA participation in Myanmar. It assessed three outcomes in an area with ongoing transmission after six rounds of MDA including: persistent infection (measured by CFA), never taking MDA medication and LF-related hydrocoele. It found that persistent infection was related to both individual demographics (age and gender) and household factors (altitude and density of persons per room). Never taking MDA medication was associated with both programme reach and individual compliance factors. Finally, LF-related hydrocoele was significantly associated with increasing age and residing in the historically endemic township of Amarapura.

Despite six rounds of MDA, infection remained significantly associated with baseline risk factors, which include host characteristics and exposure to infected vectors. The relationship between infection and increasing age found in this study is well established [15]. It is thought to relate to both increasing exposure to infected mosquitoes with age and the inefficient transmission of L3 larval stages from mosquitoes to humans [16].

The higher prevalence of LF infection amongst males found here is also well documented [15, 17]. Historically, it was suggested that this was the result of greater occupational exposure. However, the persistence of male predominance, following adjustment for occupation, outdoor work and MDA participation in this analysis, supports the hypothesis that there is also a biological basis for this difference [18,19,20].

Risk of infection was strongly associated with the number of people per household room, a marker of crowding. Entomological studies have shown that rooms with more inhabitants have an increased density of indoor Culex mosquitoes [21]. It is therefore hypothesised that crowding may lead to greater density of indoor Culex mosquitoes increasing transmission risk amongst household members. Efforts to reduce overcrowding, which are employed for other communicable diseases, may therefore also decrease LF transmission. Whilst a relationship between crowding and infection has not previously been documented, a link has been observed between household size and infection in children in Brazil, where Culex is also the vector [22]. When crowding was replaced by household size in our final model, there was a positive association, but it did not reach significance (p = 0.058, results not shown). This suggests that household size, as well as density, may predispose to infection in Culex regions, but this requires further investigation.

The absence of screens or glass on household windows was also associated with higher infection risk but lost significance in the multivariate analysis following adjustment for survey design. This may be due to sample heterogeneity, and that Amarapura Township had both a high infection prevalence and low number of screens/glass on windows. The relationship is nonetheless noteworthy, because studies in Africa have shown that windows and doors are the preferred entry point for Culex mosquitoes, and the addition of screens reduces their indoor density [23, 24]. Other variables related to night-time vector exposure, including bednet ownership and usage, also showed a protective association, but did not reach significance. This was probably because bednet ownership and usage were uniformly high across the study area. Although these associations did not reach significance in the final model, together they indicate that individuals may be infected whilst in their household but outside of their bednet. The addition of screens to household windows could therefore be an effective intervention to reduce LF transmission and deserves further study and trials.

An interesting finding was the association between small changes in elevation and infection risk. Whilst a negative association between elevation and infection risk is well documented, this typically occurs with larger variations in altitude [25, 26]. This is because at higher altitudes, atmospheric temperatures decrease, resulting in reduced mosquito survival and slower parasite development within the vector [27]. In this area, which is located within the central plains of Myanmar, altitude only ranged between 45 and 269 m above sea level. This would be insufficient to affect vector survival, but instead indicates low-lying households that may be closer to bodies of water. The distance from households to large bodies of water was also directly measured. Whilst significant in the univariate analysis, the variable lost significance when it replaced or was added alongside elevation in the final model. This could be because elevation more accurately captured subtle proximity to water such as smaller waterways, areas prone to flooding or households closest to water along a riverbank. These findings support earlier work in demonstrating the usefulness of elevation as an indirect marker for proximity to water and therefore infection risk in low-lying contexts [28].

A suggestive finding in this study was the association between persistent infection and never taking MDA. Whilst the relationship lost significance after adjustment for survey design in the multivariate analysis, possibly due to the clustering of those who had never taken MDA, it retained a strong positive effect (OR = 2.15). This relationship may be explained by both the mechanisms with which MDA medications control LF at the individual and community levels. The predominant effect of MDA is microfilaricidal, thereby reducing local transmission and the chance of new infection [29]. This is reflected in the study area, where villages with > 65% MDA participation had a mean CFA prevalence of 2.08% compared to 9.76% in villages with less participation. The secondary effect is macrofilaricidal, reducing the burden of adult worms and therefore eventually CFA [30]. At the individual level, this likely explains the lower weighted and adjusted prevalence in those who had participated in the MDA programme (1.60%) compared to those who had not (6.74%). The high prevalence of infection amongst ‘systematic non-takers’ supports studies elsewhere in highlighting their significant role as a reservoir for ongoing transmission in the community [31, 32].

Compared to the logical relationship between infection and never taking MDA medication, the association with the number of times MDA was taken was complex and non-intuitive. Relative to those who have never taken MDA, infection prevalence progressively reduced in those who took MDA a few or intermediate number of times, but then increased in those who took MDA five or six times (Table 1). All of the participants with infection who reported taking five to six rounds of MDA resided in Amarapura, the highest prevalence township (Additional file 4: Figure S2). These individuals may therefore have been more intensively targeted, at greater risk of re-infection or more familiar with MDA and thus more likely to give responses showing social desirability bias. Of note, the accuracy of self-reported MDA participation has not been validated beyond 1 year, so may also be prone to significant recall bias.

Understanding the causes of never taking MDA medication (i.e systematic non-participation) are crucial to improving control efforts, that is, distinguishing between programmatic deficiencies (not reaching households or visiting at inconvenient times) from individual reasons (such as refusal or perceived ineligibility). In the study area, never taking MDA was related to both programmatic reach (the proportion of targeted persons who are offered medication) and individual compliance (the proportion who take the offered medication).

The programmatic factors associated with never taking MDA suggested households were either not visited by the programme or the members of the household were absent at the time of the visit. While almost all (95%) surveyed households reported being visited by an MDA programme member at least once, the mean number of visits was only 2.59, with fewer visits predictive of never taking MDA. In the households that were visited, absenteeism further predisposed to never taking medication. Never taking MDA was less likely in persons from households with more members present during the last round.

The association between never taking MDA, age and gender may also relate to absenteeism. Males of all ages and females outside of the 30 to 44 year age group were more likely to have never taken MDA. In Mandalay Region, women are more likely than men to be household workers, with the greatest proportion of these women aged between 25 and 49 years [33]. This suggests that the programme may have more successfully reached these women because they were at home during the day compared to the others who were more likely to be absent.

The greater likelihood of never taking MDA in persons that had migrated from another village may also relate to programme reach. This finding was somewhat unexpected as we had no prior knowledge of the frequency, extent or origin of population movement. Domestic migration could be a cause of never taking medication for a variety of reasons, such as moving from non-endemic areas, missing rounds due to travel or non-registration at the current residence. A limitation of our study was that we did not ascertain the source of migration, which is likely to include both long-range migration from areas up-river as well as local movement between villages. Information on migration including its source and frequency should be further investigated in future studies together with information on length of residence in their village.

These findings corroborate those of Linn et al. who recently conducted a qualitative survey on barriers to MDA participation in Myanmar (unpublished) [34]. They interviewed members of the community and National Program to Eliminate LF (NPELF) in three townships with persistent transmission in Mandalay and the adjacent Magway and Sagaing Regions. They found community members were often unaware of previous rounds, suggesting they may have been missed. Of those who were aware of the previous rounds, a number stated they had not received medication because they were away. Meanwhile, drug distributors reported that financial, human resource and time limitations prevented them from fulfilling their duties and mopping-up recipients who were initially missed. The NPELF should therefore ensure that future rounds reach all households, are sufficiently resourced and are conducted at a time when household members are likely to be present. A strong emphasis should also be made to track down eligible recipients who were missed during the initial round.

In addition to programmatic reach, never taking MDA was also at least partly related to individual compliance in the study area. A notable proportion of the participants (8% of 935) reported that they had refused MDA at least once in the past. Of those, 52% had never taken MDA compared to only 11% among participants who had never actively refused medication. Thus, ever declining medication was strongly associated with never taking MDA. The most common reasons for declining MDA reported in both our study and that of Linn et al. were fear of side effects and a perception that co-morbidities were a contraindication [34]. Although adverse events are rare, community concern has hampered MDA in many countries and resulted in the postponement of the 2006 MDA round in the Mandalay Region [3].

Education initiatives regarding LF, the MDA programme and common misconceptions have been effective in improving MDA compliance [35,36,37]. These studies reported that greater LF knowledge reduced the likelihood of declining medication and non-participation, suggesting that these interventions would likely also be effective in Myanmar. The NPELF should consider efforts to improve community education and dispel myths to improve MDA participation.

Amarapura had significantly more individuals who had never taken MDA compared to the other townships in the study. Douglass et al. similarly found low participation in young people surveyed there in 2013 and 2014 [10]. This lower participation could not be accounted for by the programmatic reach and compliance factors assessed. Of the four townships, Amarapura is the most urban and had the highest average household income. Studies elsewhere have found that MDA participation can be more difficult to achieve in urban areas because of a lack of urban strategy, fewer peripheral health workers, poor health care infrastructure, the presence of unorganised settlements and large numbers of migrants [11]. Compared to other townships, Amarapura had the highest proportion of individuals who had moved from another village but a similar ratio of household members present during the last round and the highest number of NPELF visits. Within urban areas, studies have also found that higher income individuals can be harder to reach in surveys and are more likely to decline to participate in MDA programmes [11]. Amarapura had the lowest proportion of individuals who reported declining MDA medication. When income was assessed in a subgroup analysis of the township, however, there was a trend toward lower participation with higher income but it did not reach significance (cOR = 1.07; p = 0.642; aOR = 1.41; p = 0.080). The lower participation levels in Amarapura, therefore, may relate to its urban location, more mobile population and higher incomes, but this requires further analysis.

In addition to exploring potential causes for persistent infection and never taking MDA, this study also assessed risk factors for LF-related hydrocoele. The positive association found between age and hydrocoele has been well documented [15]. This is thought to be due to the progressive onset of lymphatic dysfunction with chronic filarial infection [38]. Hydrocoele was not found to be associated with CFA positivity following adjustment for survey design. Men with hydrocoele are often CFA negative, reflecting the fact that the active infection has often ceased by the time hydrocoeles develop. The higher risk of hydrocoele in Amarapura probably relates to the historically high infection prevalence there. These findings underscore the importance of reducing infection to prevent the development of LF-related hydrocoele.

The study results reported should be interpreted in light of some limitations. First, more females than males participated in the study. Whilst gender was adjusted for, it led to wider odds ratio confidence intervals. Second, data were missing from a number of risk factor variables (see total column in Tables 1, 3 and 5) leading to fewer numbers of participants in the final models for infection and never taking MDA. In addition to widening confidence intervals, it is possible this may have biased the results. Third, other potential environmental factors such as rainfall, temperature and population density were not included, which may have provided a more complete explanation of risk. Lastly, local health workers and members of the NPELF assisted with data collection. It is therefore possible that participants’ responses regarding MDA participation could have been biased towards ‘acceptable’ replies. The low levels of reported MDA participation, however, suggest this was unlikely.

The results of this study will assist Myanmar’s NPELF and contribute to the global understanding of LF risk factors. Knowledge of the factors associated with persistent infection and never taking MDA will help the National Programme to better allocate its resources in elimination efforts. Maximising MDA participation is critical as Myanmar transitions from the two-drug to three-drug MDA (ivermectin, diethylcarbamazine and albendazole, IDA) starting in 2020, since models predict that fewer rounds of IDA are needed to stop transmission [39]. To do this, our results suggest that emphasis should be placed on both improving reach, with particular attention to mopping-up missed participants, and compliance through educational initiatives. Since the findings reflect many common global reasons for poor MDA uptake and those of Linn et al., it is reasonable to infer that they could be generalisable to other regions of Myanmar. The identified infection risk factors may also apply to other countries where Culex is the vector. Finally, the identification of hydrocoele risk factors contributes to the understanding of LF morbidity and will help Myanmar to better target alleviation programmes.

Conclusions

This population-representative study assessed risk factors for LF infection, disease and never taking MDA in an area of persistent LF transmission in Myanmar. It found that persistent LF infection was linked to both individual and household factors. In turn, never taking MDA was related to both programme reach and individual compliance factors. It also highlighted that hydrocoele risk was higher in those who were older and residing in the historically high prevalence township of Amarapura. These results will assist the NPELF to improve its MDA rounds and to better target its morbidity management programmes.

Availability of data and materials

All data generated or analysed during this study are included in this published article and its Additional files.

Abbreviations

LF:

Lymphatic filariasis

MDA:

Mass drug administration

WHO:

World Health Organisation

NPELF:

National Program to Eliminate LF

CFA:

Circulating filarial antigen

Mf:

Microfilaraemia

ICT:

Immunochromatographic test

OR:

Odds ratio

95%CI:

95% Confidence interval

IQR:

Interquartile range

References

  1. 1.

    World Health Organization. Global programme to eliminate lymphatic filariasis: progress report, 2018. Wkly Epidemiol Rec. 2019;94(41):457–72.

    Google Scholar 

  2. 2.

    World Health Organization. WHO global programme to eliminate lymphatic filariasis: progress report for 2000–2009 and strategic plan 2010–2020. 2010.

  3. 3.

    Aye NN, Lin Z, Lon KN, Linn NYY, Nwe TW, Mon KM, et al. Mapping and modelling the impact of mass drug adminstration on filariasis prevalence in Myanmar. Infect Dis Poverty. 2018;7(1):56.

    Article  Google Scholar 

  4. 4.

    Dickson BF, Graves PM, McBride WJ. Lymphatic filariasis in Mainland Southeast Asia: a systematic review and meta-analysis of prevalence and disease burden. Trop Med Infect Dis. 2017;2(3):32.

    Article  Google Scholar 

  5. 5.

    Win KM, Tripathy JP, Maung TM, Oo T, Thi A, Lon KN, et al. Rapid progress towards elimination of lymphatic filariasis in endemic regions of Myanmar as a result of 16 years of anti-filarial activities (2001–2016). Trop Med Health. 2018;46(1):14.

    Article  Google Scholar 

  6. 6.

    World Health Organization. Research on rapid geographical assessment of Bancroftian filariasis. TDR/TDF/COMDT/98.2; 1998.

  7. 7.

    de Meillon B, Grab B, Sebastian A. Evaluation of Wuchereria bancrofti infection in Culex pipiens fatigans in Rangoon, Burma. Bull World Health Organ. 1967;36(1):91–100.

    PubMed  PubMed Central  Google Scholar 

  8. 8.

    World Health Organization: Regional Office for South-East Asia. Towards eliminating lymphatic filariasis: progress in the South-East Region (2001–2011). New Delhi: World Health Organization, Regional Office for South-East Asia, 2013. 2013. Report No.

  9. 9.

    Dickson BF, Graves PM, Aye NN, Nwe TW, Wai T, Shwe M, et al. The prevalence of lymphatic filariasis infection and disease following six rounds of mass drug administration in Mandalay Region, Myanmar. PLoS Negl Trop Dis. 2018;12(11):e0006944.

    Article  Google Scholar 

  10. 10.

    Douglass J, Dykes L, Kelly-Hope L, Gordon S, Leggat P, Aye NN, et al. Preventive chemotherapy reverses covert, lymphatic-associated tissue change in young people with lymphatic filariasis in Myanmar. Trop Med Int Health. 2019;24(4):463–76.

    CAS  Article  Google Scholar 

  11. 11.

    Krentel A, Fischer PU, Weil GJ. A review of factors that influence individual compliance with mass drug administration for elimination of lymphatic filariasis. PLoS Negl Trop Dis. 2013;7(11):e2447.

    Article  Google Scholar 

  12. 12.

    Silumbwe A, Zulu JM, Halwindi H, Jacobs C, Zgambo J, Dambe R, et al. A systematic review of factors that shape implementation of mass drug administration for lymphatic filariasis in sub-Saharan Africa. BMC Public Health. 2017;17(1):484.

    Article  Google Scholar 

  13. 13.

    Myanmar Information Management Unit (MIMU). The 2014 Myanmar population and housing census. 2014. http://themimu.info/census-data. Accessed 9 Apr 2020.

  14. 14.

    Myanmar Ministry of Health. Myanmar national programme to eliminate lymphatic filariasis: annual report (2011). Naypyitaw: Myanmar Ministry of Health; 2011.

    Google Scholar 

  15. 15.

    Michael E, Bundy DA, Grenfell BT. Re-assessing the global prevalence and distribution of lymphatic filariasis. Parasitology. 1996;112(Pt 4):409–28.

    Article  Google Scholar 

  16. 16.

    Hairston NG, de Meillon B. On the inefficiency of transmission of Wuchereria bancrofti from mosquito to human host. Bull World Health Organ. 1968;38(6):935.

    CAS  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Witt C, Ottesen EA. Lymphatic filariasis: an infection of childhood. Trop Med Int Health. 2001;6(8):582–606.

    CAS  Article  Google Scholar 

  18. 18.

    Dutta S, Diesfeld H. Evidence of sex variations in microfilaraemia and fluorescent antibody titre level at puberty in a bancroftian filariasis endemic area. J Commun Dis. 1994;26(1):43–51.

    CAS  PubMed  Google Scholar 

  19. 19.

    Brabin L. Sex differentials in susceptibility to lymphatic filariasis and implications for maternal child immunity. Epidemiol Infect. 1990;105(2):335–53.

    CAS  Article  Google Scholar 

  20. 20.

    Graves PM, Sheridan S, Fuimaono S, Lau CL. Demographic, socioeconomic and disease knowledge factors, but not population mobility, associated with lymphatic filariasis infection in adult workers in American Samoa in 2014. Parasites Vectors. 2020;13(1):1–18.

    Article  Google Scholar 

  21. 21.

    Kirby MJ, West P, Green C, Jasseh M, Lindsay SW. Risk factors for house-entry by culicine mosquitoes in a rural town and satellite villages in The Gambia. Parasites Vectors. 2008;1(1):41.

    Article  Google Scholar 

  22. 22.

    Braga C, Albuquerque MF, Schindler HC, Silva MR, Maciel A, Furtado A, et al. Risk factors for the occurrence of bancroftian filariasis infection in children living in endemic areas of northeast of Brazil. J Trop Pediatr. 1998;44(2):87–91.

    CAS  Article  Google Scholar 

  23. 23.

    Njie M, Dilger E, Lindsay SW, Kirby MJ. Importance of eaves to house entry by anopheline, but not culicine, mosquitoes. J Med Entomol. 2014;46(3):505–10.

    Article  Google Scholar 

  24. 24.

    Ogoma SB, Lweitoijera DW, Ngonyani H, Furer B, Russell TL, Mukabana WR, et al. Screening mosquito house entry points as a potential method for integrated control of endophagic filariasis, arbovirus and malaria vectors. PLoS Negl Trop Dis. 2010;4(8):e773.

    Article  Google Scholar 

  25. 25.

    Manhenje I, Galán-Puchades MT, Fuentes MV. Socio-environmental variables and transmission risk of lymphatic filariasis in central and northern Mozambique. Geospat Health. 2013;7(2):391–8.

    Article  Google Scholar 

  26. 26.

    Stensgaard A-S, Vounatsou P, Onapa AW, Simonsen PE, Pedersen EM, Rahbek C, et al. Bayesian geostatistical modelling of malaria and lymphatic filariasis infections in Uganda: predictors of risk and geographical patterns of co-endemicity. Malar J. 2011;10(1):298.

    Article  Google Scholar 

  27. 27.

    Attenborough R, Burkot T, Gardner D. Altitude and the risk of bites from mosquitoes infected with malaria and filariasis among the Mianmin people of Papua New Guinea. Trans R Soc Trop Med Hyg. 1997;91(1):8–10.

    CAS  Article  Google Scholar 

  28. 28.

    Stanton MC, Molyneux DH, Kyelem D, Bougma RW, Koudou BG, Kelly-Hope LA. Baseline drivers of lymphatic filariasis in Burkina Faso. Geospat Health. 2013;8(1):159–73.

    Article  Google Scholar 

  29. 29.

    Tisch DJ, Michael E, Kazura JW. Mass chemotherapy options to control lymphatic filariasis: a systematic review. Lancet Infect Dis. 2005;5(8):514–23.

    CAS  Article  Google Scholar 

  30. 30.

    McCarthy JS, Guinea A, Weil GJ, Ottesen EA. Clearance of circulating filarial antigen as a measure of the macrofilaricidal activity of diethylcarbamazine in Wuchereria bancrofti infection. J Infect Dis. 1995;172(2):521–6.

    CAS  Article  Google Scholar 

  31. 31.

    Coutts SP, King JD, Pa’au M, Fuimaono S, Roth J, King MR, et al. Prevalence and risk factors associated with lymphatic filariasis in American Samoa after mass drug administration. Trop Med Health. 2017;45(1):22.

    Article  Google Scholar 

  32. 32.

    Boyd A, Won KY, McClintock SK, Donovan CV, Laney SJ, Williams SA, et al. A community-based study of factors associated with continuing transmission of lymphatic filariasis in Leogane, Haiti. PLoS Negl Trop Dis. 2010;4(3):e640.

    Article  Google Scholar 

  33. 33.

    Myanmar Ministry of Immigration and Population. The Union report: occupation and industry. Myanmar; 2016.

  34. 34.

    Linn NY, Lin NN, Mon A, Thu AK, Thapa B, Maung TM, et al. Towards lymphatic filariasis elimination: exploring the barriers in MDA (Mass Drug Administration) at the community level in selected Pre-TAS (Pre-Transmission Assessment Survey) failed LF endemic districts, Myanmar. 48th Myanmar Health Research Congress; Yangon, Myanmar. 2020.

  35. 35.

    Cantey PT, Rout J, Rao G, Williamson J, Fox LM. Increasing compliance with mass drug administration programs for lymphatic filariasis in India through education and lymphedema management programs. PLoS Negl Trop Dis. 2010;4(6):e728.

    Article  Google Scholar 

  36. 36.

    Ramaiah K, Vijay Kumar K, Hosein E, Krishnamoorthy P, Augustin D, Snehalatha K, et al. A campaign of ‘communication for behavioural impact’ to improve mass drug administrations against lymphatic filariasis: structure, implementation and impact on people’s knowledge and treatment coverage. Ann Trop Med Parasitol. 2006;100(4):345–61.

    CAS  Article  Google Scholar 

  37. 37.

    Nandha B, Krishnamoorthy K. School-based health education campaign—a potential tool for social mobilization to promote the use of DEC-fortified salt towards elimination of lymphatic filariasis. Health Educ Res. 2007;22(4):539–46.

    CAS  Article  Google Scholar 

  38. 38.

    Dreyer G, Noroes J, Figueredo-Silva J, Piessens W. Pathogenesis of lymphatic disease in bancroftian filariasis: a clinical perspective. Parasitol Today. 2000;16(12):544–8.

    CAS  Article  Google Scholar 

  39. 39.

    Irvine MA, Stolk WA, Smith ME, Subramanian S, Singh BK, Weil GJ, et al. Effectiveness of a triple-drug regimen for global elimination of lymphatic filariasis: a modelling study. Lancet Infect Dis. 2017;17(4):451–8.

    CAS  Article  Google Scholar 

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Acknowledgements

We thank all individuals who offered their time to participate in the study. We also acknowledge the other individuals who assisted in data collection, in particular Dr. Yi Yi Win from the Vector Borne Disease Control Unit and the staff of the four township hospitals. We are grateful to the clinical training and advice provided by Professor Chris King and Associate Professor Daniel Tisch from Case Western Reserve University. We are very grateful to the NIH/NIAID Filariasis Research Reagent Resource Center (www.filariasiscenter.org) for providing the ICT positive control. Lastly, we thank Professor Susan Gordon for her assistance in study planning, logistics and data collection.

Funding

This study was funded by the generous support of the Australian Institute of International Affairs, Euan Crone, the College of Medicine and Dentistry of James Cook University and The Royal College of Pathologists of Australasia. BFRD was the recipient of all study funding. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information

Affiliations

Authors

Contributions

Study conception and design: BFRD, PMG; study planning: BFRD, PMG, NNA, TWN, TW, SSW. Data collection: BFRD, PMG, TWN, TW, SSW, MS, JD; mapping and geospatial analysis: PW, KW; data analysis: BFRD, PMG. Drafting of manuscript: BFRD, PMG. All authors reviewed the final manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Benjamin F. R. Dickson.

Ethics declarations

Ethics approval and consent to participate

The study was approved by The Human Research Ethics Committee, James Cook University (approval H5849), and The Ethics Review Committee on Medical Research Involving Human Subjects, Department of Medical Research, Myanmar Ministry of Health. The Ministry of Health, Regional Health Director and village leaders provided permission for this study. Written informed consent was obtained from all participants or their guardians.

Consent for publication

Not applicable.

Competing interests

NNA, TWN, TW and SSW were involved in Myanmar’s National LF Elimination Program at the time of the study. MS works as a self-employed private general practitioner in Mandalay. He volunteered his time to assist with data collection during the study.

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Supplementary Information

Additional file 1.

Individual participant survey in English and Myanmar languages.

Additional file 2.

Household survey in English and Myanmar languages.

Additional file 3: Figure S1.

Unadjusted proportion who never took MDA by age and gender.

Additional file 4: Figure S2.

Unadjusted infection prevalence by number of times MDA medication taken and township.

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Dickson, B.F.R., Graves, P.M., Aye, N.N. et al. Risk factors for lymphatic filariasis and mass drug administration non-participation in Mandalay Region, Myanmar. Parasites Vectors 14, 72 (2021). https://doi.org/10.1186/s13071-021-04583-y

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Keywords

  • Lymphatic filariasis
  • Risk factors
  • Myanmar
  • Asia
  • Infection
  • Hydrocoele
  • Mass drug administration
  • Coverage
  • Compliance
  • Participation