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3篇 您的检索式:作者名="Ulrike Fillinger"
    题名 作者 年代 出处 被引量
1Eradication of Anopheles gambiae from Brazil: lessons for malaria control in Africa?显示文摘Gerry F Killeen Ulrike Fillinger Ibrahim Kiche Louis C Gouagna Bart GJ Knols 2002The Lancet Infectious Diseases2002,,10:1
2Characterization of tungiasis infection and morbidity using thermography in Kenya revealed higher disease burden during COVID-19 school closures显示文摘Background Tungiasis is a neglected tropical skin disease caused by the sand flea Tunga penetrans.Female fleas penetrate the skin,particularly at the feet,and cause severe inflammation.This study aimed to characterize disease burden in two highly affected regions in Kenya,to test the use of thermography to detect tungiasis-associated inflammation and to create a new two-level classification of disease severity suitable for mapping,targeting,and monitoring interventions.Methods From February 2020 to April 2021,3532 pupils age 8–14 years were quasi-randomly selected in 35 public primary schools and examined for tungiasis and associated symptoms.Of the infected pupils,266 were quasi-randomly selected and their households visited,where an additional 1138 family members were examined.Inflammation was assessed using infra-red thermography.A Clinical score was created combining the number of locations on the feet with acute and chronic symptoms and infra-red hotspots.Results The overall prevalence of tungiasis among all the school pupils who were randomly selected during survey rounds 1 and 3 was 9.3%[95%confidence interval(CI):8.4–10.3].Based on mixed effects logistic models,the odds of infection with tungiasis among school pupils was three times higher in Kwale(coastal Kenya)than in Siaya[western Kenya;adjusted odds ratio(aOR)=0.36,95%CI:0.18–0.74];three times higher in males than in females(aOR=3.0,95%CI:2.32–3.91)and three times lower among pupils sleeping in a house with a concrete floor(aOR=0.32,95%CI:0.24–0.44).The odds of finding an infected person among the household population during surveys before the COVID-19 pandemic was a third(aOR=0.32,95%CI:0.19–0.53)of that when schools were closed due to COVID-19 restrictions and approximately half(aOR=0.44,95%CI:0.29–0.68)in surveys done after school re-opening(round 3).Infection intensity was positively correlated with inflammation as measured by thermography(Spearman’s rho=0.68,P<0.001)and with the clinical score(rho=0.86,P<0.001).Based on the two-level classification,severe cases were associated with a threefold higher level of pain(OR=2.99,95%CI:2.02–4.43)and itching(OR=3.31,95%CI:2.24–4.89)than mild cases.Conclusions Thermography was a valuable addition for assessing morbidity and the proposed two-level classification of disease severity clearly separated patients with mild and severe impacts.The burden of tungiasis was considerably higher in households surveyed during COVID-19 restrictions suggesting underlying risks are found in the home environment more than in school.Lynne Elson Abneel K.Matharu Naomi Riithi Paul Ouma Francis Mutebi Hermann Feldmeier Jürgen Krücken Ulrike Fillinger 2023Infectious Diseases of Poverty2023,12,2:0
3National prevalence and risk factors for tungiasis in Kenya显示文摘Background Tungiasis is a highly neglected tropical skin disease caused by the sand flea,Tunga penetrans,the female of which burrows into the skin,causing pain and itching.The disease occurs throughout South America and sub-Saharan Africa but there are few systematic data on national disease burdens.The tungiasis research community is keen to develop survey methods to fill this gap.Here we used a school-based,thorough examination method to determine the prevalence and risk factors for tungiasis in Kenya.Methods We conducted the first nationally representative survey of tungiasis,including nine counties covering the major ecological zones of Kenya.A stratified multistage random sampling was used to select 22 primary schools from each of the nine counties and to select up to 114 pupils aged 8 to 14 years in each school.Pupils were examined thoroughly for tungiasis.Two surveys were conducted,the first between May and July 2021 and the second between October 2021 and April 2023 when pupils were also interviewed for risk factors.Mixed effect logistic regression models were used to test associations of independent variables with tungiasis using the school as a random effect.Results The overall prevalence of tungiasis in the first survey was 1.35%[95%confidence interval(CI):1.15-1.59%],and 0.89%in the second survey.The prevalence ranged from 0.08%(95%CI:0.01-0.59%)in Taita Taveta county to 3.24%(95%CI:2.35-4.44%)in Kajiado county.Tungiasis infection was associated with county of residence,male sex[adjusted odds ratio(aOR)=2.01,95%CI:1.52-2.67],and lower age(aOR=0.81,95%CI:0.75-0.88).For the first time we demonstrate an association with attending public schools rather than private schools(aOR=5.62,95%CI:1.20-26.22)and lower socioeconomic status(aOR=0.10,95%CI:0.03-0.33).Using a rapid screening method of the top of feet only,would have missed 62.9%of all cases,78.9%of mild cases and 20.0%of severe cases.Conclusions Tungiasis is widely but heterogeneously distributed across Kenya.School-based surveys offer an efficient strategy for mapping tungiasis distribution.Lynne Elson Christopher Kamau Sammy Koech Christopher Muthama George Gachomba Erastus Sinoti Elwyn Chondo Eliud Mburu Miriam Wakio Jimmy Lore Marta Maia Ifedayo Adetifa Benedict Orindi Phillip Bejon Ulrike Fillinger 2023Infectious Diseases of Poverty2023,12,5:0
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