Hydro-epidemiological data for Leptospirosis for areas in Brazil, Malaysia, Philippines, Argentina, China and Sri Lanka, 1978-2020
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Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2023-08-16
- Identifier
- doi: / 10.5285/56f42170-3678-4586-b8c8-9b05f03125e1
- Other citation details
- De Stercke, S., Buytaert, W., Mijic, A., Templeton, M., Zulkafli, Z., Ab Rahman, J., Tahir, W., Rahmat, F., Jayaramu, V., Salwa Ibrahim, S., Ismail, M., Juraiza Ishak, A., Abdul Rahman, R. Z. (2023). Hydro-epidemiological data for Leptospirosis for areas in Brazil, Malaysia, Philippines, Argentina, China and Sri Lanka, 1978-2020. NERC EDS Environmental Information Data Centre 10.5285/56f42170-3678-4586-b8c8-9b05f03125e1
- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
- Use constraints
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- Use constraints
- otherRestrictions
- Other constraints
- If you reuse this data, you should cite: De Stercke, S., Buytaert, W., Mijic, A., Templeton, M., Zulkafli, Z., Ab Rahman, J., Tahir, W., Rahmat, F., Jayaramu, V., Salwa Ibrahim, S., Ismail, M., Juraiza Ishak, A., Abdul Rahman, R. Z. (2023). Hydro-epidemiological data for Leptospirosis for areas in Brazil, Malaysia, Philippines, Argentina, China and Sri Lanka, 1978-2020. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/56f42170-3678-4586-b8c8-9b05f03125e1
- Spatial representation type
- textTable
- Topic category
-
- Health
- Begin date
- 1978-01-01
- End date
- 2020-12-31
Distribution Information
- Data format
-
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Comma-separated values (CSV)
()
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geoJSON
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Comma-separated values (CSV)
()
- Resource Locator
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Supporting information
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Supporting information
Supporting information available to assist in re-use of this dataset
- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- Leptospirosis case numbers were extracted from health department statistics or from peer-reviewed literature. Source data for the hydrometeorological variables were in raster format and were converted into area-weighted daily average for each of the place studies. All source data were from publicly available datasets. Polygons were obtained from official country data stores or via OpenStreetMap.
Metadata
- File identifier
- 56f42170-3678-4586-b8c8-9b05f03125e1 XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2024-03-01T11:27:38
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3