ArticleScientific data2022
A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- CV19global: harmonized epidemiology, policy, mobility and weather indicators from two years and 54 countries.Scientific data · 2026Article
- Spatiotemporal Association of Coronavirus Disease 2019 Cases and Deaths With Exposure to Wildfire Particulate Matter in 2020.Open forum infectious diseases · 2025Article
- COVID-19 global risk evaluation: rankings, reducing surveillance bias, and infodemic.Frontiers in public health · 2025Article
- Enhancing COVID-19 forecasting precision through the integration of compartmental models, machine learning and variants.Scientific reports · 2024Article
- YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories.Scientific data · 2024Article
- Mobility networks in Greater Mexico City.Scientific data · 2024Article
- PANDEM-Source, a tool to collect or generate surveillance indicators for pandemic management: a use case with COVID-19 data.Frontiers in public health · 2024Article
- Unveiling the paths of COVID-19 in a large city based on public transportation data.Scientific reports · 2023Article
- Essential childhood immunization in 43 low- and middle-income countries: Analysis of spatial trends and socioeconomic inequalities in vaccine coverage.PLoS medicine · 2023Article
- A general urban spreading pattern of COVID-19 and its underlying mechanism.npj urban sustainability · 2023Article
- On the effectiveness of COVID-19 restrictions and lockdowns: Pan metron ariston.BMC public health · 2022Article
- A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution.Scientific data · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This database provides the daily time-series of COVID-19 cases, deaths, recovered people, tests, vaccinations, and hospitalizations, for more than 230 countries, 760 regions, and 12,000 lower-level administrative divisions. The geographical entities are associated with identifiers to match with hydrometeorological, geospatial, and mobility data. The database includes policy measures at the national and, when available, sub-national levels. The data acquisition pipeline is open-source and fully automated. As most governments revise the data retrospectively, the database always updates the complete time-series to mirror the original source. Vintage data, immutable snapshots of the data taken each day, are provided to ensure research reproducibility. The latest data are updated on an hourly basis, and the vintage data are available since April 14, 2020. All the data are available in CSV files or SQLite format. By unifying the access to the data, this work makes it possible to study the pandemic on a global scale with high resolution, taking into account within-country variations, nonpharmaceutical interventions, and environmental and exogenous variables.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.