Date (Publication)

2023-08-16

Identifier

https://catalogue.ceh.ac.uk/id/56f42170-3678-4586-b8c8-9b05f03125e1

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

Access constraints

otherRestrictions Other restrictions

Other constraints

no limitations

Use constraints

otherRestrictions Other restrictions

Other constraints

This resource is available under the terms of the Open Government Licence

Use constraints

otherRestrictions Other restrictions

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 Text, table

Metadata language

EnglishEnglish

Character set

utf8 UTF8

Topic category

• Health

Begin date

1978-01-01

End date

2020-12-31

Distribution format

• Comma-separated values (CSV) ()

• geoJSON ()

OnLine resource

Download the data

Download a copy of this data

OnLine resource

Supporting information

Supporting information available to assist in re-use of this dataset

Hierarchy level

dataset Dataset

Other

dataset

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.

File identifier

56f42170-3678-4586-b8c8-9b05f03125e1 XML

Metadata language

EnglishEnglish

Character set

ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1

Hierarchy level

dataset Dataset

Hierarchy level name

dataset

Date stamp

2024-03-01T11:27:38

Metadata standard name

UK GEMINI

Metadata standard version

2.3