2,908 research outputs found
SUPERSEDED - AMR dynamics in gut microbiome of farmers and animals
## This item has been replaced by the one which can be found at [https://doi.org/10.7488/ds/7792] ##' This dataset and code are part of supplementary data for a manuscript Muwonge, A., Kakooza, T., Johnson, P.C.D., Kisuule, L., Kimaanga, M., Kankya, C., de Clare Bronsvoort, B.M., Lembo, T., "Production system drivers of antibiotic resistance at the human-animal interface in Uganda", The Lancet Planetary Health (in submission). They explore the role of livestock production systems in the epidemiology of antibacterial resistance (ABR) in sympatric human and livestock populations, which is poorly understood. Here, they examine ABR at the farmer-pig interface of Uganda, where the pig sector is rapidly growing, to quantify rates of resistance, understand associated human- and livestock-related factors, and investigate cross-species transmission.
The motivation of this is to improve our understanding of the role of livestock production systems in the emergence and transmission of AMR, this paper uses phenotypic resistance profile from sentinel bacteria E.coli and Klebsiella, recovered from a faecal sample collected from farmers and their pigs across a one-year longitudinal study. This is mapped to AMR gene carriage of four selected genes measured using QPCR. Using the Metadata, they examine drivers of resistance in this setting, and also use the prevalence and sharing of MDR profiles to infer transmission.There are three main datasets: Metadata, Phenotype and Qpcr datases.
Three other subsets: A) House_Hold_PAIRS, B) HOUSE_HOLD_PAIRS_SHARED_MDR,C) E_COLI_MDR_SHARED
METADATA.csv has 476 rows and 14 columns.
This data set is named FLF_PHENOTYPE DATA. It contains 8 columns and 2830 rows This data is output from analysis of bacteria culture from farmers and thier pigs in the one year longitudinal study. We collected these sample 6 times growing three bacteria E.coli, Klebsiella and Salmonella.
Pig and Human ID, SAMPLE ID E.G KLAMAK011P (The first three letters= District; second three letter= Sub county; the two number digit= household; next number= visit number; last number= the host, Pig or Human)
Controls:
E.g. KLANANCTR021. CRT= control; 02= Negative control; 01= Positive control; last number= visit number.
For analysis, use column 3: SAMPLE_ID2. We often generate variables out of the ID as data integrity validation process, usually in a data set as ID3.
SETTING= District (Urban=Kampala (intensive & semi intensive pig), Rural= Mubende (free range or semi free range));
Subcounty= administrative division in the district;
SAMPLING= the visit time (1-6);
Species= the Host (Human or Pig);
Isolate= tracking number for the laboratory;
Bacteria= the Bacteria isolated.
Antibiotics, these will have three states (R,I,S)= resistant, intermediate and susceptible.
Note that, we did not have results for Imipenem for the first sampling poin
Livestock production drivers of antibiotic resistance
There are three main datasets i.e A) House_Hold_PAIRS, B) HOUSE_HOLD_PAIRS_SHARED_MDR, C) E_COLI_MDR_SHARED, We also have a list of paired farmer and pig(HOUSE_HOLD_PAIRS), the multi-drug resistant(MDR) strains they share (HOUSE_HOLD_PAIRS_MDR_SHARED), and the MDR patterns carried by E.coli recovered from the paired farmer and pig(E_COLI_MDR_SHARED). Farmer-pig_carriage this dataset compares the gene carriage of a farmer at time T and thier pig at time T+1 in the same household.
METADATA dataset has 476 rows and 14 columns This data set is named PHENOTYPE DATA it contains 8 columns and 2830 rows This data is output from analysis of bacteria culture from farmers and their pigs in the one-year longitudinal study. We collected these samples 6 times growing three bacteria E.coli, Klebsiella, and Salmonella Pig and Human ID SAMPLE ID E.G KLAMAK011P The first three letters District, Second three letter Sub-county The two number digits is for the household next number is for the visit number the last number is for the host (Pig or Human)
Controls KLANANCTR021 CRT means control 02 = Negative control 01= Positive control The last number is for the visit number For analysis use column 3. SAMPLE_ID2 We often generate variables out of the ID as a data integrity validation process usually in a data set as ID3 SETTING Means District (Urban =Kampala(Intensive & Semi intensive pig), Rural=Mubende(free range or semi-free range)) Sub-county is an administrative division in the district SAMPLING.... is the visit time (1-6) Species mean the Host (Human or Pig) Isolate means Is a tracking number for the laboratory Bacteria is the Bacteria isolated Antibiotics, these will have three states(R, I, S) resistant, intermediate and Susceptible.E_COLI_MDR_SHARED.csv
Farmer_pig_carriage.csv
FLF_QPCR_DB.csv
HOUSE_HOLD_PAIRS_MDR_SHARED.csv
HOUSE_HOLD_PAIRS.csv
META_DATA.csv
PHENOTYPE_DB.cs
Repurposing data to support livestock disease control in developing countries
The use of network analysis to support livestock disease control in low middle-income countries (LMICs) has historically been hampered by the cost of generating empirical data in the absence of animal movement recording schemes. To fill this gap, we have adopted methods which exploit freely available demographic and archived molecular data to generate livestock networks based on phylogeographic and gravity modelling techniques. We compare output from these network methodologies to empirical and randomly generated data. We simulate disease scenarios on the networks to evaluate the potential utility of our methodologies to inform robust livestock disease control strategies.
The molecular network was the closest approximation to the empirical network, both in relation to topological and epidemic characteristics. The gravity network tended to overestimated disease epidemics. However, better agreement across all three networks was observed if less specific epidemic characteristics such as the size of outbreak were investigated. Moreover, these methods consistently identified the same important animal movement and trade hotspots as the empirical networks. We therefore consider this proof-of-concept that demographic data such as censuses and archived molecular data could be repurposed to inform livestock disease management in LMICs
Providence College Faculty Author Series 2012-2013: Dr. Adrian Weimer
Dr. Adrian Weimer (History, Providence College) discusses her new book Martyrs\u27 Mirror: Persecution and Holiness in Early New England and the cultural importance of martyrdom within Colonial America
Providence College Faculty Author Series 2012-2013: Dr. Adrian Weimer
Dr. Adrian Weimer (History, Providence College) discusses her new book Martyrs\u27 Mirror: Persecution and Holiness in Early New England and the cultural importance of martyrdom within Colonial America
Adrian Matejka, 34th Annual ODU Literary Festival
Adrian Matejka is the author of The Devil’s Garden and Mixology, which was a winner of the 2008 National Poetry Series. He is the recipient of two Illinois Arts Council Literary Awards and fellowships from Cave Canem and the Lannan Foundation. His work has been featured in American Poetry Review, The Best American Poetry 2010, and Ploughshares, among other journals and anthologies. He teaches at Southern Illinois University Edwardsville
Performing the archive: following in the footsteps
Using documentation of Mike Pearson's performance 'Bubbling Tom', Deirdre Heddon attempts to step into his shoes and re-perform it
Preventing future pandemics and epidemics through a North-South collaboration on genomic surveillance in Africa
The editorial describes the measures for preventing future pandemics and epidemics through a North-South collaboration on genomic surveillance in Afric
Electrochemical-control of abrasive polishing and machining rates, U.S. Patent 6,171,467
An apparatus and method is disclosed; both of which use electrochemistry to selectively grow and remove hard oxide coatings on metals, and capacitive double layers on non-metals and semiconductors in order to predict and control the rate of surface abrasion during planarization of the surface of such materials
ADRIAN POP - IN SEARCH OF A LONG LOST SMILE
An anniversary, especially in the case of a generation colleague, the renowned composer Adrian Pop, generates the remembrance of a long series of musical events that have become notorious, with works included in the national and international concert repertoire. The avoidance of nostalgic memories made that a stage miniature be chosen for the present paper, an incursion of the author into the naive world of childhood reading. The result was a modern, glamorous musical transposition of a sequence with Max and Moritz, the playful heroes created by the famous humorist and cartoonist Wilhelm Busch in the middle of the 19th century. The musical act Onkel Fritz by Adrian Pop was first performed in Cluj in 2016, on October 22, on the occasion of his previous anniversary, within the Cluj Musical Autumn Festival. The graceful performers of the act, presented under the title “Anniversaries at the Festival, Adrian Pop compositional portrait”, were soprano Mihaela Maxim, in the role of Max and pianist Eva Butean, in the role of Moritz. How did composer Adrian Pop manage to musically enliven a 150 years old humorous story? The author of the following text will try to answer this question.
Rezumat. ADRIAN POP - ÎN CĂUTAREA SURÂSULUI PIERDUT. O aniversare, mai ales în cazul unui coleg de generație, reputatul compozitor Adrian Pop, generează rememorarea unui lung șir de evenimente muzicale devenite notorii, cu lucrări intrate în repertoriul intern și internațional de concerte. Evitarea unor memorii nostalgice au făcut ca sorții acestei comunicări să cadă asupra unei miniaturi scenice, o incursiune a autorului în lumea ingenuă a lecturilor din copilărie. A rezultat o transpunere muzicală modernă, plină de farmec, a unei secvențe cu Max și Moritz, eroii poznași creați de celebrul umorist și caricaturist Wilhelm Busch la mijlocul secolului XIX. Prima audiție clujeană a scenetei muzicale Onkel Fritz de Adrian Pop a avut loc în 2016, la 22 octombrie, cu ocazia precedentei sale aniversări, în cadrul Toamnei Muzicale Clujene. Interpreții plini de har ai scenetei prezentate sub genericul „Aniversări în Festival, portret componistic Adrian Pop” au fost soprana Mihaela Maxim, în rolul lui Max și pianista Eva Butean, în rolul lui Moritz. Oare cum a reușit compozitorul Adrian Pop să însuflețească muzical o poveste umoristică de 150 de ani? La această întrebare va încerca să răspundă autoarea acestor rânduri.
Cuvinte cheie: Adrian Pop, Wilhelm Busch, Max și Moritz, Unchiul Fritz, act muzica
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