Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 424 days ago
International Perinatal Outcomes in the Pandemic (iPOP) study, multi-country
Dataset
Summary
DOI Name:
10.34688/ipop_study
Documentation
Associated Media:
Description:
Data from the International Perinatal Outcomes in the Pandemic (iPOP) study [https://ipopstudy.com](https://ipopstudy.com). The iPOP study is investigating the impact of pandemic lockdowns on preterm birth and stillbirth rates. Aggregate population-based birth data provided by collaborators will be analysed using quasi-experimental methods including Interrupted Time Series Analysis (ITSA) and Difference in Differences [DID] design.
This dataset definition describes the data provided by collaborators and the study outputs. The [Study protocol](https://wellcomeopenresearch.org/articles/6-21) provides more details on the scope and design of the study. The data collection templates used are provided in the Resources section below.
In order to have an access request for this dataset considered, you must be part of the iPOP community. See iPOP website for instructions as to how to join.
Coverage
Spatial:
Norway; Uruguay; Hungary; United Kingdom,Wales; Sweden; Chile; Finland; Iran,
Islamic Republic of; Iceland; Peru; United Kingdom,Scotland; Brazil; Belgium;
Canada; United States; Denmark; Australia,New South Wales
Provenance
Origin
Sources:
Other
Temporal
Accrual Periodicity:
Static
Start Date:
01 January 2023
End Date:
31 December 2020
Time Lag:
Not applicable
Accessibility
Access
Access Rights:
Delivery Lead Time:
Not applicable
Jurisdictions:
- NO
- UY
- HU
- GB-WLS
- SE
- CL
- FI
- IR
- IS
- PE
- GB-SCT
- BR
- BE
- CH
- CA
- US
- DK
- AU
Data Controller:
In order to have an access request for this dataset considered, you must be part
of the iPOP community. See iPOP website for instructions as to how to join.
Format and Standards
Vocabulary Encoding Schemes:
OTHER
Languages:
en
Formats:
text
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
1
Count
01 January 2023