Author
Listed:
- Ruth Monyenye Nyangacha
- David Odongo
- Florence Oyieke
- Christine Bii
- Erastus Muniu
- Stanley Chasia
- Missiani Ochwoto
Abstract
Background: Tungiasis is a parasitic disease caused by the sand flea Tunga penetrans also known as jigger flea. Communities living in precarious conditions in tropical and sub tropical countries bear the brunt of the infection. The main objective of this study was to determine the burden of Tungiasis in Vihiga County in Kenya. Methods: This was a cross-sectional study conducted in 21 villages in 3 Sub-locations in Vihiga County, western Kenya. A total of 437 participants, 5 years old and above were clinically examined for the presence of tungiasis after consenting to take part in the study. Diagnosis was made following standard methods. A semi- structured questionnaire was administered to assess socio-demographic factors, housing, presence and ownership of animals, knowledge and practice related to tungiasis. Data were analyzed using bivariate and multivariate regression analysis. GIS was used to map the geographic distribution of tungiasis in the area. Results: The overall prevalence was found to be (21.5%; 95% CI: 17.7–25.3%). The cases were analysed and visualized in a map form. Multivariate analysis suggested that the occurrence of tungiasis was associated with variables that indicated low economic status (like a monthly income of Ksh ≤ 1000 (adjusted odds ratio 27.85; 95% CI: 4.13–187.59), earthen floor (0.36; 0.13–1.024) and lack of toilet facilities (4.27; 0.82–22.34), age of participant ≤14 (27.414; 10.02–74.99), no regular use of closed footwear (1.98; 0.987–3.97) and common resting place inside the house (1.93; 0.96–3.89). Conclusions: Tungiasis is an important health problem in Vihiga County occasioned by the low economic status of the people affected. Factors that point to poverty contribute to the occurrence of tungiasis. These findings suggest a need to design control strategies for tungiasis that are cost effective and easily accessible. Author summary: Tungiasis even though curable, continues to cause a lot of morbidity and in some cases death to millions of people living in tropical and subtropical countries. The global burden of tungiaisis is not known unlike for most diseases which attract a lot of attention and funding. There are also gaps on the exact geographical distribution of this disease and the communities affected, hence it is largely ignored and neglected by the scientific community, the health sector, pharmaceutical industries and policy makers. As a consequence, there are no universally accepted methods to treat and control tungiasis. The study attempted to close this gap by combining geographic information system and questionnaire data to visualize the burden and risk factors of tungiasis in Vihiga County, Kenya. The researchers found that tungiasis is an important health burden in Vihiga County, Kenya and that its occurrence was associated with factors that point to poverty. These findings suggest a need to design control strategies for tungiasis that are cost effective and easily accessible by the communities affected.
Suggested Citation
Ruth Monyenye Nyangacha & David Odongo & Florence Oyieke & Christine Bii & Erastus Muniu & Stanley Chasia & Missiani Ochwoto, 2019.
"Spatial distribution, prevalence and potential risk factors of Tungiasis in Vihiga County, Kenya,"
PLOS Neglected Tropical Diseases, Public Library of Science, vol. 13(3), pages 1-14, March.
Handle:
RePEc:plo:pntd00:0007244
DOI: 10.1371/journal.pntd.0007244
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Cited by:
- Åse Walle Mørkve & Jackline Sitienei & Graziella Van den Bergh, 2024.
"“We Are Just Supposed to Be an NGO Helping”: A Qualitative Case Study of Health Workers’ and Volunteers’ Perceptions of the Government and Civil Society’s Role in Fighting Jiggers in Bungoma County, K,"
Societies, MDPI, vol. 14(2), pages 1-18, February.
- Stephen M. Mbunzi & Joseph K. Mungatu & Anthony G. Waititu & Samuel M. Mwalili & Kenneth O. Ogila & Thomas N. O. Achia & Daniel Nthiwa, 2021.
"Severity of Infestation Levels of Tunga Penetrans in Central, Kenya: A Bayesian Cumulative Logit Model,"
International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 10(5), pages 1-70, September.
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