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1.
Int Health ; 15(1): 85-92, 2023 01 03.
Article in English | MEDLINE | ID: mdl-35390149

ABSTRACT

BACKGROUND: The parasitic disease tungiasis, caused by the flea Tunga penetrans, remains an important public health problem among children and the elderly. The study assessed the factors influencing prevention and control of tungiasis infection among school-age children in Kwale County, Kenya. METHODS: A cross-sectional survey was conducted in five villages in Lunga Lunga subcounty among 538 children ages 5-14 y. The study employed a mobile application tool in collecting sociodemographic, knowledge, perception and practice data on prevention and control of tungiasis with frequencies and bivariate and multivariate regression analysis used. RESULTS: The prevalence of tungiasis was found to be 62.1% (328/528), with fathers' education level, place of residence and wearing shoes being factors associated with infection. Those who wore shoes were less likely to be infected compared with those who did not (odds ratio 0.059 [95% confidence interval 0.29 to 0.12]). Children living in Dzombo B and Kinyungu were less likely to be infected with tungiasis compared with those living in Bandu, holding other factors constant. CONCLUSION: Creating awareness of the cause of tungiasis remains of key public importance. Hygiene promotion, including wearing of shoes and the general cleanliness of the environment at the community level, needs to be implemented.


Subject(s)
Tungiasis , Humans , Child , Aged , Child, Preschool , Adolescent , Tungiasis/epidemiology , Tungiasis/parasitology , Tungiasis/prevention & control , Kenya/epidemiology , Cross-Sectional Studies , Public Health , Educational Status
2.
BMC Infect Dis ; 18(1): 262, 2018 06 07.
Article in English | MEDLINE | ID: mdl-29879917

ABSTRACT

BACKGROUND: Tuberculosis (TB) case finding is an important component of TB control because it can reduce transmission of Mycobacterium tuberculosis (MTB) through prompt detection and treatment of infectious patients. METHODS: Using population-based infectious disease surveillance (PBIDS) platforms with links to health facilities in Kenya we implemented intensified TB case finding in the community and at the health facilities, as an adjunct to routine passive case finding conducted by the national TB program. From 2011 to 2014, PBIDS participants ≥15 years were screened either at home or health facilities for possible TB symptoms which included cough, fever, night sweats or weight loss in the preceding 2 weeks. At home, participants with possible TB symptoms had expectorated sputum collected. At the clinic, HIV-infected participants with possible TB symptoms were invited to produce sputum. Those without HIV but with symptoms lasting 7 days including the visit day had chest radiographs performed, and had sputum collected if the radiographs were abnormal. Sputum samples were tested for the presence of MTB using the Xpert MTB/RIF assay. TB detection rates were calculated per 100,000 persons screened. RESULTS: Of 11,191 participants aged ≥15 years screened at home at both sites, 2695 (23.9%) reported possible TB symptoms, of whom 2258 (83.8%) produced sputum specimens. MTB was detected in 32 (1.4%) of the specimens resulting in a detection rate of 286/100,000 persons screened. At the health facilities, a total of 11,762 person were screened, 7500 (63.8%) had possible TB symptoms of whom 1282 (17.1%) produced sputum samples. MTB was detected in 69 (5.4%) of the samples, resulting in an overall detection rate of 587/100,000 persons screened. The TB detection rate was higher in persons with HIV compared to those without at both home (HIV-infected - 769/100,000, HIV-uninfected 141/100,000, rate ratio (RR) - 5.45, 95% CI 3.25-22.37), and health facilities (HIV-infected 3399/100,000, HIV-uninfected 294/100,000, RR 11.56, 95% CI 6.18-18.44). CONCLUSION: Facility-based intensified TB case finding detected more TB cases per the number of specimens tested and the number of persons screened, including those with HIV, than home-based TB screening and should be further evaluated to determine its potential programmatic impact.


Subject(s)
Tuberculosis/diagnosis , Adult , Aged , Ambulatory Care Facilities , Female , HIV Infections/complications , HIV Infections/diagnosis , Humans , Kenya , Male , Mass Screening , Middle Aged , Mycobacterium tuberculosis/isolation & purification , Population Surveillance , Rural Population , Sputum/microbiology , Tuberculosis/complications , Urban Population , Young Adult
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