28 items found

Tags: 59999 Environmental Sciences not elsewhere classified AMR

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  • dataset

    Responses to Questions about antimicrobials and antimicrobial resistance<sup>...

    Responses to Questions about antimicrobials and antimicrobial resistance**.
  • dataset

    r37980778c78--1bf4aeb995592b83466728dc7b024222

    Risk of bias assessment for studies included in the quantitative synthesis.
  • dataset

    r37980778c78--f64336db3825781cf163feb30921f183

    IntroductionPrivate sector drug shops are an important source of medicines in Tanzania. In 2003, the government introduced the accredited drug dispensing outlet (ADDO) program...
  • dataset

    r37980778c78--50a510e920dd0fb21e35f07aacfdd5d2

    Awareness of antimicrobials as a type of medicine by region, ADDO density, and distance from ADDO.
  • dataset

    r37980778c78--029ade24ff8dec9d20c2bdd3e759193e

    Pastoralists’ perceptions on risk pathways for antimicrobial resistance dissemination from cow milk to humans in North-central Nigeria.
  • dataset

    Clinical factors at initial colonoscopy predictive of any missed adenoma of r...

    Clinical factors at initial colonoscopy predictive of any missed adenoma of repeat colonoscopy.
  • dataset

    Association between level of knowledge about the use of antibiotics and socio...

    Association between level of knowledge about the use of antibiotics and socio-demographic characteristics.
  • dataset

    Baseline characteristics of the study subjects and initial colonoscopy.

    Baseline characteristics of the study subjects and initial colonoscopy.
  • dataset

    Evidence of superficial knowledge regarding antibiotics and their use: Result...

    We assessed knowledge and practices related to antibiotic use in Kibera, an urban informal settlement in Kenya. Surveys was employed at the beginning (entry) and again at the...
  • dataset

    Overall levels of knowledge of antimicrobials and AMR by region, ADDO density...

    Overall levels of knowledge of antimicrobials and AMR by region, ADDO density, and distance from an ADDO*.
  • dataset

    Association between completeness of antibiotic course and socio-demographic c...

    Association between completeness of antibiotic course and socio-demographic characteristics.
  • dataset

    r37980778c78--cdc84acc99fc759c051b879d4b4ece41

    Characteristics of studies included in the review.
  • dataset

    Socio-demographic characteristics of Fulani pastoralists associated with know...

    Socio-demographic characteristics of Fulani pastoralists associated with knowledge regarding AMU on lactating cows in North-central Nigeria.
  • dataset

    Logistic regression analysis to assess the variables independently associated...

    Logistic regression analysis to assess the variables independently associated with use of non-prescribed antibiotics.
  • dataset

    r37980778c78--a82cd62478dc16c73c2536a55815fcc6

    Practices of antimicrobial usage on lactating cows by Fulani pastoralists in North-central Nigeria.
  • dataset

    Association between level of knowledge about antibiotics and socio-demographi...

    Association between level of knowledge about antibiotics and socio-demographic characteristics.
  • dataset

    Socio-demographic characteristics by use of prescribed and non-prescribed ant...

    Socio-demographic characteristics by use of prescribed and non-prescribed antibiotics.
  • dataset

    Total households (counts and proportions; n = 122) in which responses for kno...

    Total households (counts and proportions; n = 122) in which responses for knowledge, attitude and practice survey questions changed between entry and exit surveys, and the...
  • dataset

    r37980778c78--f83f7b70ba9bf70c53d9cc79e002e1ef

    Survey responses to questions regarding antibiotic use, sources of antibiotics and information on antibiotics.
  • dataset

    r37980778c78--154a002605116efe9b71b292cea11a3c

    Suboptimal bowel preparation can result in missed colorectal adenoma that can evolve into interval colorectal cancer. This study aims to identify the predictive factors...