Automated Author ProfileSchaten, K.
The University of Edinburgh0000-0002-9286-6658
Schaten, K.
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The dataset describes the results of a laboratory analysis investigating the presence of various infectious agents in goats, cattle, pigs, dogs and sheep from Mambwe District, Eastern Province, Zambia. Blood samples were collected in June, July and August 2013 and stored on Whatman FTA (Flinders Technology Associates) cards. Laboratory analysis was conducted using polymerase chain reactions (PCR) for African trypanosomes and tick-borne infections. In addition, serum was tested for Brucella using the Rose Bengal test. Cattle and dogs were tested for African trypanosomes, tick-borne infections and Brucella. Goats and sheep were tested for African trypanosomes and Brucella. Pigs were tested for African trypanosomes only. The objective was to evaluate the health status of domestic animals in the Mambwe District. This work was conducted alongside a human wellbeing questionnaire survey. The research was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC project no NE/J000701/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA).
Authors
- Schaten, K. ;
- Machila, N. ;
- Chirwa, C. ;
- Shaw, A.P.M. ;
- Mashili, J. ;
- Hang'andu, F. ;
- Simukonda, S. ;
- Simuunza, M. ;
- Anderson, N.E. ;
- MacLeod, E.T. ;
- Thrusfield, M. ;
- Welburn, S.C.
This dataset contains the results of 211 household surveys conducted in Mambwe District, Zambia, as part of a wider study looking at human and animal trypanosomiasis and changing settlement patterns in the area. The interviews were conducted from June 2013 to August 2013. The objective of the survey was to set the health of people and their animals in the context of overall household wellbeing, assets and access to resources. The topics covered included household demographics, human and animal health, access to and use of medical and veterinary services, livestock and dog demographics, livestock production, human and animal contacts with wildlife, crop and especially cotton production, migration, access to water and fuel use, household assets and poverty, resilience and values. The dataset has been anonymised by removing names of respondents, Global Positioning Satellite (GPS) location of their homes and names of interviewers. Household numbers were retained. Written consent was obtained prior to commencing all interviews.This research was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC), and these data contributed to the research carried out by the consortium. The research was funded by NERC with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA).
Authors
- Schaten, K. ;
- Shaw, A.P.M. ;
- Machila, N. ;
- Simuunza, M. ;
- Chirwa, E. ;
- Anderson, N.E. ;
- MacLeod, E. ;
- Welburn, S.C.