Investigation of Human Tungiasis Cases, Sheema District, Uganda, November 2021 – February 2022

Summary

Background: No formal surveillance system exists in Uganda for tungiasis, and outbreaks are frequently reported through media. On 27 January 2022, a news alert reported a jiggers’ outbreak in Sheema District, Southwestern Uganda. We investigated to establish the magnitude of the problem and identify possible exposures associated with infestation to inform control measures.

Methods: We defined a confirmed case as visible Tunga penetrans in the skin of a resident of any of 6 villages in Bwayegamba Parish in February 2022. A suspected case was self-reported T. penetrans infestation during the three months preceding the interview. We visited all households in the 3 most affected villages in Bwayegamba Parish to identify cases and conducted interviews to identify possible exposures. We assessed socio-economic status, house construction, mitigation measures against jiggers, and observed participants (feet, clothes, nails, walking barefooted) and their environments for hygiene. A ‘yes’ response to any one hygiene variable was considered ‘poor hygiene’. We conducted one case-control study comparing case-households (with ≥1 case) with control-households (without any cases), and one comparing individual cases (suspected and confirmed) to neighbourhood controls.

Results: Among 278 households, we identified 60 case-patients, among whom 34 (57%) were male. Kiyungu West was the most affected village (attack rate=31/1,000). Cases had higher odds of being male (OR_MH=2.3, 95%CI=1.3-4.0), <20 years of age (OR_MH=2.0, 95%CI=1.1-3.6), unmarried (OR_MH=2.97, 95%CI=1.7-5.2), unemployed (OR_MH=3.28, 95%CI=1.8-5.8), and having poor personal hygiene (OR_MH=3.73, 95%CI=2.0-7.4) than controls. In the household case-control study, case-households had higher odds of having dirty or littered compounds (OR_MH=2.3, 95%CI=1.2-4.6) and lower odds of practicing mitigation measures against jiggers (OR_MH=0.33, 95%CI=0.1-0.8) than control-households. Conclusion: Males, unemployed persons, and poor personal or household hygiene increased odds of tungiasis in this outbreak. Multi-sectoral, tailored interventions that improve standards of living could reduce risk of tungiasis in this area. Adding tungiasis to national surveillance reporting tools could facilitate early identification of future outbreaks.

---

Background

Tungiasis is a parasitic skin infection due to infestation with the female sand flea, Tunga Penetrans (1). The female sand flea has piercing and sucking mouth parts that it uses to suck the blood and burrow into the skin of its host (2). It thrives in sandy and dusty dry environments, such as those in sub-Saharan Africa (1). It penetrates into skin creating a nodular swelling where it feeds on the host’s blood while growing in size. It’s posterior end remains exposed to the air through which about 100-200 eggs are shed over a period of 2 weeks. Fertilized eggs once hatched develop into larvae and pupae. This stage takes about 2-3 weeks before they develop into adults capable of jumping from the ground onto the skin of the host (1-3). Infestation is usually limited to the feet since the flea cannot jump very high (1). However, other parts of the body, such as the hands, elbows, buttocks, and genitals, can similarly be infested, for instance, in situations where humans sleep on the floor (1, 4). Illness causes itching, oedema, swelling, pain, and desquamation at the site of infestation (4, 5). If left untreated, tungiasis can lead to other bacterial infections, tetanus, gangrene, inability to walk, and a great loss in quality of life (4, 6).

In 2011, a jiggers outbreak in Eastern Uganda was reported to affect 20,000 people, of whom 20 died (7). In 2012, the Uganda Ministry of Health (MOH), cognisant of the disease’s burden, constituted a task force responsible for its eradication in the Eastern and North Eastern regions of the country (8). However, little progress has been made due to a lack of surveillance data on tungiasis. It is still not among the reportable neglected tropical diseases in the Health Management Information System (HMIS) tools as identified by the  Sustainability Plan for Neglected Tropical Diseases (NTDs) Control Program 2020-2025 (9). The disease continues to spread in rural communities in Uganda due to a number of individual factors, such as high levels of poverty and environmental factors, such as  presence of animal reservoirs for the flea (1, 10).

On 27 January 2022, a jiggers’ outbreak was reported in Sheema District, located in South Western Uganda. The news alert indicated that 80 families in 5 villages in Bwayegamba Parish, Kigarama Subcounty were affected (11). We investigated to establish the magnitude of the problem and identify exposures associated with infestation in order to inform evidence-based control measures.

 Methods

Outbreak area

Sheema District is a relatively new district in South Western Uganda that was curved out of Bushenyi District in 2010 (Figure 1). The District is administratively divided into 3 Counties, 14 Sub-counties, and 41 Parishes. Kigarama, the affected sub-county comprises 7 Parishes and 97 Villages (12). The District has a projected 2012 population of 220,300 people (13). The main economic activities in the District include crop and livestock farming (13).

Case definition and finding

We defined a confirmed case as presenting with itching, pain, a burrow at the site of infestation with visible presence of Tunga penetrans in the skin (dark papule with a central pit) of any household member resident in Bwayegamba Parish in February 2022. We defined a suspect case as reporting of being infested with T.penetrans, with visible scars on the feet or any other part of the body in a period of three months before the time of interview by any resident of Bwayegamba Parish. This time period was chosen because it takes approximately 6–8 weeks from eggs hatching to the time a female sand flea grows in size and releases its eggs outside the host body (3).

We actively searched for cases in six out of 14 villages in Bwayegamba Parish known to have cases, namely: Kiyungu West, Rwakahitsi, Kikuto I, Kiyungu East, Nyamiko, and Mwengura. With the guidance of area Local Council I (LC I) chairmen and members of Village Health Teams (VHTs) of affected villages, we visited homes of case-households in the affected villages. We used a standardized tool to line-list cases and conducted interviews with case-patients or their parents as necessary to understand patient history and risk factors.

Descriptive epidemiology

We described the line-listed case-patients by person, place, and time. We constructed an epidemic curve to show the distribution of cases over the study period of November 2021 to February 2022. We computed attack rates by sex, age, and village using population projections from the Uganda Bureau of Statistics (UBOS) (12). We drew a choropleth map to show the most affected villages in the Parish. Maps were developed using Quantum Geographic Information System (QGIS) software version 3.16 with administrative shapefiles from UBOS hosted on the United Nations Office for the Coordination of Humanitarian Affairs’ (UNOCHA) Humanitarian Data Exchange (HDX) online database (15).

Hypothesis generation interviews and environmental assessment

We visited the homes of 12 households located in three of the six affected villages, namely; Mwengura, Kiyungu East, and Nyamiko, and assessed sanitation and hygiene by observing household compounds, surroundings and housing conditions (floors, walls), keeping animals that could act as reservoirs, and knowledge of ways to get rid of jiggers. We walked around the homes and the neighbourhoods to identify environmental conditions that are conducive to the fleas. The factors that were found to affect 30% of the cases during hypothesis generation were further assessed using a case-control study design.

Case-control studies

To test the hypotheses, we conducted unmatched case-control studies at the household and individual level. Households with one or more cases were classified as case-households and those without any household members infested as control-households. We conducted interviews among case-households and control-households in the three most affected villages, namely: Kiyungu West, Rwakahitsi, and Kikuto I in Bwayegamba Parish. Control-households were identified within the same villages as case-households. We visited all 383 households in the three most affected villages and interviewed 278 households with an adult present at the time of the interview. Out of these, we identified 41 case-households and 237 control-households. In total, we interviewed 412 people. We collected and compared data regarding socio-demographic characteristics of cases in case-households and controls in control-households.

Data regarding the case-control studies was collected using Kobo collect (14), downloaded as a Microsoft Excel file and analyzed using Epi-Info version 7.2.5.0 and STATA version 14.2. For the household case-control study, we assessed whether neighbors were infested during the study period, house walls, floor, compound, keeping animals, animal shelter, distance to water source, and ownership of a list of 15 household items, including electricity, radio, television, table, chair, sofa set, bed, cupboard, refrigerator, mobile phone, computer, bicycle, motorcycle, car, and animal drawn cart. We then used principal component analysis to predict wealth index scores premised on ownership of the above 15 household items.

We used this to generate a composite household wealth index of two levels (lower and upper). We created composite binary variables for categories used to assess house walls (cracked, rough), house floors (earthen, dusty, cracked), and household compound (dirty, littered). We also assessed mitigation measures against jiggers which was defined as using a pin or needle to remove the sand flea from infested body parts immediately after it is seen. For the individual case-control study, we assessed sex, age group, education, occupation, marital status, and personal hygiene. We generated composite binary variables for age group, education, occupation, marital status, and personal hygiene (dirty feet, dirty clothes, long nails, walking barefooted). Mantel-Haensel odds ratios and p-values derived from two by two tables were used to determine the associations of exposures with jigger infestation at 95% confidence intervals.

Ethical Considerations

The Ministry of Health, through the Director General of Health Services, gave the directive to conduct this study. We further sought administrative clearance from the District health office before conducting the study. We additionally obtained clearance from the office of the Director for Science, US Centers for Disease Control and Prevention (CDC), who determined that this study was in response to a public health problem and therefore non-research.

All participants were asked to give verbal informed consent, and parents were asked to give consent and assent for their children before interviews. Only households with an adult present at the time of the interview were interviewed. To ensure anonymity, all information was coded with a unique identifier. Study participants were assured of confidentiality as only team members had access to the data.

 Results

Descriptive epidemiology

Out of 278 households visited, we identified 41 (15%) case-households. Among 412 household members, 60 (15%) were either currently infested (n=32/60, 53%) or reported ever being infested (n=28/60, 47%) in a period of three months preceding the date of interview. Males (AR/1,000 population = 13) and people in age groups 21-40 (AR/1,000 population = 16) and 41+ (AR/1,000 = 17) were most affected by jigger infestations in the six villages of Bwayegamba Parish. Village attack rates ranged from 2-31 per 1,000 population (Figure 2).

 

The majority of participants were most recently infested in February 2022 (n=23/60) (Fig.3).

Hypothesis generation findings

The study was conducted during a semi-dry season. We observed poor sanitation and hygiene, characterised by littered and dirty compounds, people wearing visibly dirty clothes, having long dirty nails and walking barefooted with muddy feet. Similarly, the majority of houses had earthen floors, which may provide a sandy environment conducive to the flea.

We hypothesized that factors such as household member infested in the past three months (n=10/12, 83%), household member currently infested with jiggers (n=5/12, 42%), keeping animals (n=10/12, 83%), housing animals inside main house (n=5/12, 42%), earthen floor (n=8/12, 67%), cracked floor (n=9/12, 75%), dirty floor (n=8/12, 67%), dusty floor (n=7/12, 58%), rough wall (n=8/12, 67%), cracked wall (n=6/12, 50%), littered and dirty compound (n=6/12, 50%) were associated with being a case-household.

Individual factors such as having been infested for more than one month (n=4/12, 33%), knowledge of any measure for getting rid of jiggers (n=12/12, 100%), walking barefoot (n=8/12, 67%), and wearing dirty clothes (n=7/12, 58%) were associated with being a case (Figure 4).

 

Case-control studies’ findings

Description of case-households and control-households during an outbreak investigation of jiggers, Sheema District, Uganda, November 2021–February 2022

Compared to control-households, most case-households fell within the upper wealth quintile (n=24 (59%), p=0.059), reported practicing mitigation measures against jiggers (n=36 (88%), p=0.019), had higher proportions of cracked and rough house walls (n=31 (76%), p=0.04), littered and dirty compounds (n=20 (49%), p=0.013) and kept animals (n=25 (61%), p=0.009). Both case (n=36 (88%)) and control-households (n=176 (74%), p=0.06) had earthen, dusty and cracked floors. Most case-households (n=30 (73%)) and control households (n=156 (66%), p=0.356) kept their animals in a separate shelter outside the main house. Most case-households (n=34 (83%)) and control-households lived within 500m of a water source (n=175 (74%), p=0.214) (Table 1).

 Table 1: Household exposures vs. household infestation with jiggers during a tungiasis outbreak investigation, Bwayegamba Parish, Sheema District, November 2021 – February 2022

Household exposure (N=278)	Case-HHs* (N=41)                    n (%)	Control-HHs* (N=237)                n (%)	ORM-H†	95% CI‡	P-value
Wealth quintile
Upper	24 (59)	101 (43)	ref	0.26-1.03
Lower	17 (41)	136 (57)	0.53		0.059
Practice mitigation measures§
Yes	36 (88)	166 (70)	ref	0.11-0.82
No	5 (12)	71 (30)	0.33		0.019
Neighbour infested
No	23 (56)	164 (69)	ref	0.88-3.46
Yes	18 (44)	73 (31)	1.75		0.099
Wall
Not cracked or rough	10 (24)	98 (41)	ref	1.04-4.86
Cracked or rough	31 (76)	139 (59)	2.18		0.04
Floor
Not Earthen, dusty or cracked	5 (12)	61 (26)	ref	0.98-7.44
Earthen, dusty or cracked	36 (88)	176 (74)	2.49		0.06
Compound
Not littered or dirty	21 (51)	168 (71)	ref	1.17-4.57
Littered or dirty	20 (49)	69 (29)	2.31		0.013
Keeps animals
No	16 (39)	48 (20)	ref	0.2-0.82
Yes	25 (61)	189 (80)	0.4		0.009
Animal shelter
Outside main house	30 (73)	156 (66)	ref	0.32-1.46
Inside main house	11 (27)	81 (34)	0.71		0.357
Water source
< 500m	34 (83)	175 (74)	ref	0.23-1.34
> 500m	7 (17)	62 (26)	0.58		0.214

*HHs = Households

†OR_M–H = Mantel Haensel Odds Ratio

‡CI = Confidence Interval

• Practice mitigation measures = using a pin or needle to remove the sand flea from infested body parts immediately it is seen

Description of cases and controls during an outbreak investigation of jiggers, Sheema District, Uganda, November 2021–February 2022

Compared to controls, a higher proportion of cases were male (n=34/60, 57%, p=0.003), with a mean age of 30.1(SD = +21) years. Most cases (n=38/60, 63%) and controls (n=273/352, 78%, p=0.018) fell within the 21+ age group. Compared to controls, most cases (n=31/60, 52%, p=<0.001) were unmarried and unemployed (n=33/60, 55%, p=<0.001). Compared to controls, a higher proportion of cases had poor personal hygiene (n=47/60, 78%) vs. (n=173/352, 49%, p=<0.001). Among cases, 35% (n=21/60) of them reported to have been infested with jiggers for a period of more than one month (Table 2).

Table 2: Individual exposures vs. being infested with jiggers during a tungiasis outbreak investigation, Bwayegamba Parish, Sheema District, November 2021 – February 2022

Individual exposure (N=412)	Cases (N=60)        n (%)	Controls (N=352)   n (%)	ORM-H*	95% CI†	P-value
Sex
Female	26 (43)	223 (63)	ref
Male	34 (57)	129 (37)	2.26	1.3-3.96	0.003
Age group
1-20	22 (37)	79 (22)	2	1.1-3.57	0.018
21+	38 (63)	273 (78)	ref
Education level
Did not attend school	14 (23)	56 (16)	0.62	0.32-1.24	0.157
Attended school	46 (76)	296 (84)	ref
Marital status
Single/never married	31 (52)	93 (26)	2.97	1.69-5.22	<0.001
Married/widowed/divorced	29 (48)	259 (74)	ref
Occupation
Employed	27 (45)	70 (20)	ref
Unemployed	33 (55)	282 (80)	3.28	1.84-5.84	<0.001
Comorbidity
No	47 (78)	270 (77)	ref
Yes	13 (22)	82 (23)	0.91	0.46-1.74	0.782
Poor personal hygiene
No	13 (22)	179 (51)	ref
Yes	47 (78)	173 (49)	3.73	1.98-7.38	<0.001

*OR_M–H = Mantel Haensel Odds Ratio

†CI = Confidence Interval

Factors associated with jiggers’ infestation at household level, during an outbreak, Sheema District, Uganda, November 2021–February 2022

Case-households had lower odds of practicing mitigation measures against jigger infestation (OR_MH=0.33, 95%CI= (0.1-0.8) than control-households. Case-households had higher odds of living in homes with littered or dirty compounds (OR_MH=2.31, 95%CI= (1.2-4.6) than control-households (Table 1).

Factors associated with jiggers’ infestation at individual level, during an outbreak, Sheema District, Uganda, November 2021–February 2022

Cases had higher odds of being male (OR_MH=2.26, 95%CI= (1.3-4.0)), in the 1-20 years age group (OR_MH=2, 95%CI= (1.1-3.6)), unmarried (OR_MH=2.97, 95%CI= (1.7-5.2)), unemployed (OR_MH=3.28, 95%CI= (1.8-5.8)), and having poor personal hygiene (OR_MH=3.73, 95%CI= (2-7.4)) than controls (Table 2).

 Discussion

This investigation aimed at establishing the magnitude of tungiasis in Sheema District and identifying exposures associated with infestation in order to inform evidence-based control measures. Our results show that at household level, poorly maintained compounds were associated with infestation. At the individual level, being male, aged 1–20 years, unemployed, and having poor personal hygiene were associated with tungiasis. Whereas, practicing mitigation measures was significantly protective against infestation.

At the household level, having littered or dirty compounds was significantly associated with tungiasis. This finding is similar to other studies which found that the occurrence of tungiasis was associated with littered compounds (10, 16). Poorly maintained compounds and environments around the home may attract animals such as cats, dogs, goats, and pigs which have been identified as reservoirs of the sand flea (1, 17) thereby propagating the vector. The Ministry of Health, through VHTs, should continue supporting rural communities to improve sanitation by sweeping compounds and digging garbage compost pits to help keep away stray animals, which act as reservoirs for the vector.

At the individual level, cases had significantly higher odds of being male. This is in agreement with a study conducted in Eastern Uganda which found males were most affected (18) and a study in Nigeria which found males having the highest number of viable tungiasis lesions (19). This result may be explained by gender differences in personal hygiene and grooming. Females generally bathe more often than males and this may result in them noticing and removing the flea as soon as they can.

Similarly, we found that poor personal hygiene such as wearing dirty clothes, having dirty feet, having long nails, and walking barefooted was significantly associated with tungiasis. This is similar to other studies that also found an association between poor personal hygiene and being infested with jiggers (10, 16, 20, 21). However, since our study found that the majority of households lived within 500m of a water source, lack of access to water may not account for the observed poor personal hygiene. Poor personal hygiene may therefore be due to individual or behavioural characteristics and shows a great need for continuous health education by VHTs about frequent washing and bathing, through which one may notice embedded fleas and remove them. A study conducted in Kenya found that frequent washing with soap may reduce severity of tungiasis (22) while a randomised control trial in Madagascar found that frequent wearing of shoes and using Zanzarin, a plant-based repellent, prevents infestation (23).

Furthermore, we found that more than a third of cases were infested for a period of greater than one month. Long infestation periods may point to the role of people in the propagation of the vector within their environments when the eggs are released, as modelled by a study conducted in Eastern Uganda which showed that more than seven new jigger infections could be caused by a single individual (24). This emphasises the need for continuous health education and awareness raising campaigns about the removal and prevention of infestation with the sand flea.

We found that being in the 1–20-year age group was significantly associated with tungiasis. This finding agrees with other studies which found the highest prevalence among 1–15 year age category (19, 22, 25). However, due to differences in age categories, this result should be interpreted with caution as those who are older than 15 years of age may be in a better position to notice embedded fleas and remove them compared to those younger than 15 years of age. Children are most likely to be found walking barefooted and playing in soils that are contaminated with the sand flea. Besides the pain, walking impairment, and deformed nails (5), tungiasis has other debilitating effects among children. A study conducted in Rwanda, for instance, identified tungiasis as a reason for absenteeism from school among school going children (26) while a study in Kenya found a lower quality of life among children with tungiasis (27). Thus, implementing multi-pronged interventions that focus on improving household living conditions may in turn help children attain a better quality of life.

In addition, being unemployed was significantly associated with tungiasis. This could be due to impairing effects of tungiasis such as pain, itching, combined with shame and stigma that prevent case-patients from seeking medical care (1, 28, 29). Tackling social factors like employment and increasing income has been shown to lead to greater attainment in health outcomes (30, 31). Similarly, an increase in income implies that households may have money available to buy soap to use while bathing. Therefore, the Ministry of Health should liaise with other ministries and government departments to ensure improvement in the health and social-economic status of rural communities.

On the other hand, households that practiced mitigation measures against jiggers were significantly protected against infestation. Mitigation measures, defined here as the immediate removal of the sand flea from infested body parts once it is noticed, are essential in reducing the suffering inflicted by tungiasis (1). This agrees with other studies that found that using a pin or needle to remove the sand flea was protective against tungiasis (10). Therefore, MOH through VHTs, should raise awareness about the immediate removal of embedded fleas to reduce the severity of tungiasis in affected villages.

Lastly, the number of tungiasis cases fluctuated over the four-month study period. However, there was no way to declare an outbreak as surveillance data and reporting thresholds are lacking. Presently, there’s no direct provision for reporting tungiasis using the HMIS tools as it is lumped under “other NTDs”. MOH largely relies on media reports to identify outbreaks before responding, which may not be ideal for affected communities. Thus, we call for a change in national policy towards reporting, surveillance, funding, and management of tungiasis as one of the important NTDs as recognised by the Sustainability Plan for Neglected Tropical Diseases Control Program 2020–2025 (9). The Ministry of Health should integrate tungiasis as part of HMIS reporting to enable monitoring of interventions and prompt responses.

Study limitations

The main limitation of this study is that recall and social desirability bias raise doubts about the use of self-reported data (32, 33). The suspect case definition required participants to recall whether they had been infested three months before the day of interview. Such memory questions are likely to introduce recall bias as well as social desirability bias for participants or households that did not have currently have an infested member. Additionally, our suspect case definition largely relied on participants’ local knowledge of what jigger infestation is. We counteracted this by using the local term (“emira”) for jigger infestations in the Runyankore language, which is spoken in Sheema District. This being a case-control study, we were unable to determine causality. However, we identified exposures that increased the odds of infestation with jiggers in Sheema District.

Conclusion and recommendations

Males, those who are unemployed, those in the age group 1–20 year and those who have poor personal hygiene were significantly associated with tungiasis in this outbreak. Households with littered or dirty compounds were significantly associated with infestation, whereas those that practiced mitigation measures against jiggers were protected against infestation. This calls for designing targeted interventions towards affected groups with improvements in household living conditions. There’s a need for continuous health education and awareness raising on the prevention of jigger infestations in rural communities. This can be done through existing structures such as VHTs in order to reach and help greatly affected individuals, especially those that have been infested for long periods. Accordingly, the Ministry of Health should fast track the distinct inclusion of tungiasis in HMIS reporting of neglected tropical diseases in order to avail surveillance data needed to identify future outbreaks.

Conflict of Interest

The authors declare that they had no competing interests.

Acknowledgements

We acknowledge members of the District Health Team, Sheema District Local Government for the administrative support. We appreciate Mr. Beboneza Ben, the Health Inspector, Kigarama Sub-county, and members of the Village Health Teams for guidance in the community during data collection.

---

References

1. Heukelbach J, De Oliveira FAS, Hesse G, Feldmeier H. Tungiasis: a neglected health problem of poor communities. Tropical Medicine & International Health. 2001;6(4):267-72.
2. Nagy N, Abari E, D’Haese J, Calheiros C, Heukelbach J, Mencke N, et al. Investigations on the life cycle and morphology of Tunga penetrans in Brazil. Parasitology research. 2007;101(2):233-42.
3. U.S CDC. Tungiasis https://www.cdc.gov/dpdx/tungiasis/index.html: United States Centers for Disease Control and Prevention; 2022 [29/01/2022].
4. Feldmeier H, Heukelbach J, Ugbomoiko US, Sentongo E, Mbabazi P, von Samson-Himmelstjerna G, et al. Tungiasis—a neglected disease with many challenges for global public health. PLoS neglected tropical diseases. 2014;8(10):e3133.
5. Ugbomoiko US, Ariza L, Babamale AO, Heukelbach J. Prevalence and clinical aspects of tungiasis in south-west Nigerian schoolchildren. Tropical doctor. 2017;47(1):34-8.
6. WHO. Tungiasis Factsheet https://www.who.int/news-room/fact-sheets/detail/tungiasis#:~:text=Tungiasis%20is%20a%20cutaneous%20parasitosis,jigger%2C%20sand%20flea%20or%20chigoe: World Health Organisation; 2022 [29/01/2022].
7. Jawoko K. Jiggers outbreak in Uganda. Can Med Assoc; 2011.
8. Ministry of Health Uganda. Jiggers Eradication Program https://www.health.go.ug/programs/jiggers-eradication-program/2022 [29/01/2022].
9. Ministry of Health Uganda. Sustainability Plan for Neglected Tropical Diseases Control Program 2020–2025. Kampala http://library.health.go.ug/publications/neglected-tropical-diseases/sustainability-plan-neglected-tropical-diseases-control: MOH; 2021 16/09/2021.
10. Wafula ST, Ssemugabo C, Namuhani N, Musoke D, Ssempebwa J, Halage AA. Prevalence and risk factors associated with tungiasis in Mayuge district, Eastern Uganda. The Pan African medical journal. 2016;24.
11. Whisper Eye News. Deadly jiggers outbreak hits several families in Sheema https://whispereye.co.ug/2022/01/27/deadly-jiggers-outbreak-hits-several-families-in-sheema/2022 [29/01/2022].
12. Uganda Bureau of Statistics. National Population and Housing Census 2014

https://www.ubos.org/wp-content/uploads/publications/2014CensusProfiles/SHEEMA.pdf: UBOS; 2014 April 2017.

13. Sheema District Local Government. Sheema District https://sheema.go.ug/lg/overview: Sheema District Local Government; 2022 [30/01/2022].
14. KOBO Toolbox. KoBoToolbox | Data Collection Tools for Challenging Environments 2022 [29/01/2022]. Available from: https://www.kobotoolbox.org/.
15. Uganda – Subnational Administrative Boundaries [Internet]. United Nations Office for the Coordination of Humanitarian Affairs’ (UNOCHA) Humanitarian Data Exchange (HDX). 2022 [cited 28/02/2022]. Available from: https://data.humdata.org/dataset/cod-ab-uga.
16. Kimani B, Nyagero J, Ikamari L. Knowledge, attitude and practices on jigger infestation among household members aged 18 to 60 years: case study of a rural location in Kenya. The Pan African Medical Journal. 2012;13(Suppl 1).
17. Mutebi F, Krücken J, Feldmeier H, Waiswa C, Mencke N, Sentongo E, et al. Animal reservoirs of zoonotic tungiasis in endemic rural villages of Uganda. PLoS neglected tropical diseases. 2015;9(10):e0004126.
18. Amatre G, Lejju JB, Andama M. Prevalence of jigger flea (Tunga Penetrans) infestation amongst age groups, male and female persons in Jinja District, Eastern Uganda. 2018.
19. Enwemiwe VN, Ojianwuna CC, Anyaele OO. Intensity and clinical morbidities of tungiasis in an impoverished south-west Nigerian community. Parasite epidemiology and control. 2021;14:e00215.
20. Girma M, Astatkie A, Asnake S. Prevalence and risk factors of tungiasis among children of Wensho district, southern Ethiopia. BMC infectious diseases. 2018;18(1):1-7.
21. Kamau TM, Ngechu RN, Haile ZT, Mwitari J. An exploration of factors associated with jigger infestation (Tungiasis) among residents of Muranga North District, Kenya. International Journal of Health Sciences and Research. 2014;4(3):1-8.
22. Elson L, Wiese S, Feldmeier H, Fillinger U. Prevalence, intensity and risk factors of tungiasis in Kilifi County, Kenya II: Results from a school-based observational study. PLoS neglected tropical diseases. 2019;13(5):e0007326.
23. Thielecke M, Raharimanga V, Rogier C, Stauss-Grabo M, Richard V, Feldmeier H. Prevention of tungiasis and tungiasis-associated morbidity using the plant-based repellent Zanzarin: a randomized, controlled field study in rural Madagascar. PLoS neglected tropical diseases. 2013;7(9):e2426.
24. Nannyongaa B, Mangoa JM, Rugeihyamub S. Modelling prevention and control of jigger infestation in Mayuge district: a mathematical approach. J Math Compu Sci. 2021;22:252-65.
25. Obebe OO, Aluko OO. Epidemiology of tungiasis in sub-saharan Africa: a systematic review and meta-analysis. Pathogens and Global Health. 2020;114(7):360-9.
26. Nsanzimana J, Karanja S, Kayongo M, Nyirimanzi N, Umuhoza H, Murangwa A, et al. Factors associated with tungiasis among primary school children: a cross-sectional study in a rural district in Rwanda. BMC public health. 2019;19(1):1-9.
27. Wiese S, Elson L, Feldmeier H. Tungiasis-related life quality impairment in children living in rural Kenya. PLoS neglected tropical diseases. 2018;12(1):e0005939.
28. Heukelbach J, Van Haeff E, Rump B, Wilcke T, Moura RCS, Feldmeier H. Parasitic skin diseases: health care‐seeking in a slum in north‐east Brazil. Tropical medicine & international health. 2003;8(4):368-73.
29. Winter B, Oliveira FA, Wilcke T, Heukelbach J, Feldmeier H. Tungiasis-related knowledge and treatment practices in two endemic communities in northeast Brazil. The Journal of Infection in Developing Countries. 2009;3(06):458-66.
30. WHO Commission on Social Determinants of Health. Closing the gap in a generation: health equity through action on the social determinants of health: Commission on Social Determinants of Health final report: World Health Organization; 2008.
31. Braveman P, Gottlieb L. The social determinants of health: it’s time to consider the causes of the causes. Public health reports. 2014;129(1_suppl2):19-31.
32. Bowling A. Mode of questionnaire administration can have serious effects on data quality. Journal of public health. 2005;27(3):281-91.
33. Krumpal I. Determinants of social desirability bias in sensitive surveys: a literature review. Quality & quantity. 2013;47(4):2025-47.
    

    ---