Identification

Title

Hydro-epidemiological data for Leptospirosis for areas in Brazil, Malaysia, Philippines, Argentina, China and Sri Lanka, 1978-2020

Abstract

This dataset contains Leptospirosis case numbers for a number of place studies in Brazil, Malaysia, Philippines, Argentina, China and Sri Lanka. Leptospirosis case numbers are provided as weekly or monthly case numbers and cover the period 1978 to 2020, although timelines vary within place studies. Area-weighted daily average hydrometeorological variables are also included: precipitation, river discharge and soil moisture. The data have been collected and collated for a global analysis of the effect of hydrometeorological extremes on leptospirosis infection risk. Also included are the spatial polygons for each of the place studies. Full details about this dataset can be found at https://doi.org/10.5285/56f42170-3678-4586-b8c8-9b05f03125e1

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/56f42170-3678-4586-b8c8-9b05f03125e1

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/56f42170-3678-4586-b8c8-9b05f03125e1.zip

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

function: information

Unique resource identifier

code

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

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

health

Keywords

Geographic location

West bounding longitude

-180

East bounding longitude

180

North bounding latitude

South bounding latitude

-90

Temporal reference

Temporal extent

Begin position

1978-01-01

End position

2020-12-31

Dataset reference date

date type

publication

effective date

2023-08-16

Frequency of update

Quality and validity

Lineage

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.

Conformity

Conformity report

specification

title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

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

Responsible organisations

Responsible party

organisation name

Imperial College London

email address

simon.destercke@imperial.ac.uk

responsible party role

pointOfContact

Responsible party

organisation name

Imperial College London

email address

simon.destercke@imperial.ac.uk

web address

https://orcid.org/0000-0003-0702-1691

description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.

function: information