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  • 100+ Downloads
    Updated July 13, 2020 | Dataset date: Mar 9, 2020-Jul 4, 2020
    This data is by request only
    Subnational data about Covid19 in Burkina Faso - Infected (new cases, gender), Deceased, Recovered.
  • 2100+ Downloads
    Updated July 13, 2020 | Dataset date: Jan 1, 2019-Apr 30, 2020
    This dataset updates: As needed
    This page provides the data published in the Attacks on Health Care Monthly News Brief. For data supporting the Safeguarding Health in Conflict Coalition (SHCC), please see: https://data.humdata.org/dataset/shcchealthcare-dataset These datasets covers events where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members in 2019 and in 2020 to date. All data contains incidents identified in open sources. Categorized by country and with links to relevant Monthly News Brief.
  • 2200+ Downloads
    Updated Live | Dataset date: Dec 1, 2019-Jul 12, 2020
    This dataset updates: Live
    Data Overview This repository contains spatiotemporal data from many official sources for 2019-Novel Coronavirus beginning 2019 in Hubei, China ("nCoV_2019") You may not use this data for commercial purposes. If there is a need for commercial use of the data, please contact Metabiota at info@metabiota.com to obtain a commercial use license. The incidence data are in a CSV file format. One row in an incidence file contains a piece of epidemiological data extracted from the specified source. The file contains data from multiple sources at multiple spatial resolutions in cumulative and non-cumulative formats by confirmation status. To select a single time series of case or death data, filter the incidence dataset by source, spatial resolution, location, confirmation status, and cumulative flag. Data are collected, structured, and validated by Metabiota’s digital surveillance experts. The data structuring process is designed to produce the most reliable estimates of reported cases and deaths over space and time. The data are cleaned and provided in a uniform format such that information can be compared across multiple sources. Data are collected at the time of publication in the highest geographic and temporal resolutions available in the original report. This repository is intended to provide a single access point for data from a wide range of data sources. Data will be updated periodically with the latest epidemiological data. Metabiota maintains a database of epidemiological information for over two thousand high-priority infectious disease events. Please contact us (info@metabiota.com) if you are interested in licensing the complete dataset. Cumulative vs. Non-Cumulative Incidence Reporting sources provide either cumulative incidence, non-cumulative incidence, or both. If the source only provides a non-cumulative incidence value, the cumulative values are inferred using prior reports from the same source. Use the CUMULATIVE FLAG variable to subset the data to cumulative (TRUE) or non-cumulative (FALSE) values. Case Confirmation Status The incidence datasets include the confirmation status of cases and deaths when this information is provided by the reporting source. Subset the data by the CONFIRMATION_STATUS variable to either TOTAL, CONFIRMED, SUSPECTED, or PROBABLE to obtain the data of your choice. Total incidence values include confirmed, suspected, and probable incidence values. If a source only provides suspected, probable, or confirmed incidence, the total incidence is inferred to be the sum of the provided values. If the report does not specify confirmation status, the value is included in the "total" confirmation status value. The data provided under the "Metabiota Composite Source" often does not include suspected incidence due to inconsistencies in reporting cases and deaths with this confirmation status. Outcome - Cases vs. Deaths The incidence datasets include cases and deaths. Subset the data to either CASE or DEATH using the OUTCOME variable. It should be noted that deaths are included in case counts. Spatial Resolution Data are provided at multiple spatial resolutions. Data should be subset to a single spatial resolution of interest using the SPATIAL_RESOLUTION variable. Information is included at the finest spatial resolution provided to the original epidemic report. We also aggregate incidence to coarser geographic resolutions. For example, if a source only provides data at the province-level, then province-level data are included in the dataset as well as country-level totals. Users should avoid summing all cases or deaths in a given country for a given date without specifying the SPATIAL_RESOLUTION value. For example, subset the data to SPATIAL_RESOLUTION equal to “AL0” in order to view only the aggregated country level data. There are differences in administrative division naming practices by country. Administrative levels in this dataset are defined using the Google Geolocation API (https://developers.google.com/maps/documentation/geolocation/). For example, the data for the 2019-nCoV from one source provides information for the city of Beijing, which Google Geolocations indicates is a “locality.” Beijing is also the name of the municipality where the city Beijing is located. Thus, the 2019-nCoV dataset includes rows of data for both the city Beijing, as well as the municipality of the same name. If additional cities in the Beijing municipality reported data, those data would be aggregated with the city Beijing data to form the municipality Beijing data. Sources Data sources in this repository were selected to provide comprehensive spatiotemporal data for each outbreak. Data from a specific source can be selected using the SOURCE variable. In addition to the original reporting sources, Metabiota compiles multiple sources to generate the most comprehensive view of an outbreak. This compilation is stored in the database under the source name “Metabiota Composite Source.” The purpose of generating this new view of the outbreak is to provide the most accurate and precise spatiotemporal data for the outbreak. At this time, Metabiota does not incorporate unofficial - including media - sources into the “Metabiota Composite Source” dataset. Quality Assurance Data are collected by a team of digital surveillance experts and undergo many quality assurance tests. After data are collected, they are independently verified by at least one additional analyst. The data also pass an automated validation program to ensure data consistency and integrity. NonCommercial Use License Creative Commons License Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) This is a human-readable summary of the Legal Code. You are free: to Share — to copy, distribute and transmit the work to Remix — to adapt the work Under the following conditions: Attribution — You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). Noncommercial — You may not use this work for commercial purposes. Share Alike — If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one. With the understanding that: Waiver — Any of the above conditions can be waived if you get permission from the copyright holder. Public Domain — Where the work or any of its elements is in the public domain under applicable law, that status is in no way affected by the license. Other Rights — In no way are any of the following rights affected by the license: Your fair dealing or fair use rights, or other applicable copyright exceptions and limitations; The author's moral rights; Rights other persons may have either in the work itself or in how the work is used, such as publicity or privacy rights. Notice — For any reuse or distribution, you must make clear to others the license terms of this work. The best way to do this is with a link to this web page. For details and the full license text, see http://creativecommons.org/licenses/by-nc-sa/3.0/ Liability Metabiota shall in no event be liable for any decision taken by the user based on the data made available. Under no circumstances, shall Metabiota be liable for any damages (whatsoever) arising out of the use or inability to use the database. The entire risk arising out of the use of the database remains with the user.
  • 6200+ Downloads
    Updated July 13, 2020 | Dataset date: Jul 13, 2020
    This dataset updates: Every day
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
  • 20+ Downloads
    Updated July 13, 2020 | Dataset date: Apr 29, 2016
    This dataset updates: As needed
    No abstract provided
  • 60+ Downloads
    Updated July 12, 2020 | Dataset date: Jul 2, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: layer source name bridge surface smoothness oneway highway width lanes This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated July 12, 2020 | Dataset date: May 5, 2020
    This dataset updates: Every day
    Living Atlas live feed sources for hurricane path, observed path, forecast path, and intensity of tropical cyclone activity (hurricanes, typhoons, cyclones) from the National Hurricane Center and Joint Typhoon Warning Center
  • 2100+ Downloads
    Updated July 12, 2020 | Dataset date: Jun 1, 2017-May 1, 2020
    This dataset updates: Every month
    This dashboard highlights the living situation in Syria by showing the prices of basic market items. How to use this product: The first three pages track price change chronologically on governorate level, with ability to compare between them by choosing one or more. The subsequent pages show the prices of market items on the governorate and sub-district level with an item availability heat map of any selected item on any selected level and period. You can select one of the listed items in one sub-district or more. When you choose a governorate its subdistrict(s) will be highlighted according to the availability of the selected item in the selected governorate(s).
  • 1800+ Downloads
    Updated July 12, 2020 | Dataset date: Mar 1, 2020-May 31, 2020
    This dataset updates: Every week
    This data includes movement changes measured by Facebook throughout March, April, and May 2020 starting from a baseline in February.
  • 40+ Downloads
    Updated July 12, 2020 | Dataset date: Jul 9, 2020
    This dataset updates: Every three months
    Les 519 zones de santé (ZS) de la République démocratique du Congo, extraites de la base de données OpenStreetMap. The 519 health zones of the Democratic Republic of the Congo, extracted from the OpenStreetMap database.
  • 30+ Downloads
    Updated July 12, 2020 | Dataset date: Jul 9, 2020
    This dataset updates: Every three months
    Les 26 divisions provinciales de la santé (DPS) de la République démocratique du Congo, extraites de la base de données OpenStreetMap. The 26 provincial health divisions of the Democratic Republic of the Congo, extracted from the OpenStreetMap database.
  • 20+ Downloads
    Updated July 12, 2020 | Dataset date: Jul 9, 2020
    This dataset updates: Every three months
    Les limites "sanitaires" des 145 territoires et 19 villes de la République démocratique du Congo, extraites de la base de données OpenStreetMap. The "health" limits of the 145 territories and 19 cities of the Democratic Republic of the Congo, extracted from the OpenStreetMap database.
  • 300+ Downloads
    Updated July 12, 2020 | Dataset date: Jan 1, 1999-Dec 31, 2018
    This dataset updates: Every year
    Food Security Indicators for Zimbabwe. Contains data from the FAOSTAT bulk data service.
  • 7300+ Downloads
    Updated July 12, 2020 | Dataset date: Jan 1, 1990-Jun 15, 2020
    This dataset updates: Every week
    This dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 500+ Downloads
    Updated July 12, 2020 | Dataset date: Jan 1, 2020-Jul 12, 2020
    This dataset updates: Every week
    Newly displaced population due to conflict between 01 January 2020 and 5 July 2020, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 12 July 2020 and the numbers are expected to change as new assessment figures become available.
  • 70+ Downloads
    Updated Live | Dataset date: May 1, 2019-Dec 31, 2020
    This dataset updates: Live
    This dataset combines two sources of education-insecurity data: Machine-learning-driven counts of tweets from Africa and the Middle East on the topic of education insecurity—in Arabic, English, and French—via the Artificial Intelligence for Disaster Response (AIDR) project Human-curated reports of actual education-insecurity events in Africa and the Middle East, via the Armed Conflict Location & Event Data (ACLED) project.
  • 600+ Downloads
    Updated July 11, 2020 | Dataset date: Jul 11, 2020
    This dataset updates: As needed
    This dataset is showing the health data of the Democratic Republic of Congo
  • 1000+ Downloads
    Updated July 10, 2020 | Dataset date: Mar 2, 2020-Jul 5, 2020
    This dataset updates: Every day
    This dataset contains the number of confirmed cases, recoveries and deaths by province due to the Coronavirus pandemic in Indonesia.
  • 70+ Downloads
    Updated July 10, 2020 | Dataset date: May 29, 2019
    This dataset updates: Every day
    Reference historic FX rates quoted by the European Central Bank (ECB) converted to USD base currency. There are two resources - one with USD as the quote currency (more standard x/USD) and another with USD as the base currency (USD/x). Note that where the rate is 0 or NaN, it means that the currency existed in the past but no longer exists.
  • 300+ Downloads
    Updated July 10, 2020 | Dataset date: Jun 30, 2020
    This dataset updates: Every month
    Number of refugees returning to Burundi from the neighboring countries from September 2017 to June 2020.
  • 1000+ Downloads
    Updated July 10, 2020 | Dataset date: Dec 31, 2019-Jul 7, 2020
    This dataset updates: Every week
    The Database of Government Actions on COVID-19 in Developing Countries collates and tracks national policies and actions in response to the pandemic, with a focus on developing countries. The database provides information for 20 Global South countries – plus 6 Global North countries for reference – that Dalberg staff are either based in or know well. The database content is drawn from publicly available information combined, crucially, with on-the-ground knowledge of Dalberg staff. The database contains a comprehensive set of 100 non-pharmaceutical interventions – organized in a framework intended to make it easy to observe common variations between countries in the scope and extent of major interventions. Interventions we are tracking include: • Health-related: strengthening of healthcare systems, detection and isolation of actual / possible cases, quarantines • Policy-related: government coordination and legal authorization, public communications and education, movement restrictions • Distancing and hygiene: social distancing measures, movement restrictions, decontamination of physical spaces • Economic measures: economic and social measures, logistics / supply chains and security. We hope the database will be a useful resource for several groups of users: (i) governments and policymakers looking for a quick guide to actions taken by different countries—including a range of low- and middle-income countries, (ii) policy analysts and researchers studying the data to identify patterns of actions taken and compare the effectiveness of different interventions in curbing the pandemic, and (iii) media and others seeking to quickly access facts about the actions taken by governments in the countries covered in the database. Comments on the data can be submitted to covid.database.comments@dalberg.com Questions can be submitted to covid.database.questions@dalberg.com www.dalberg.com
  • 20+ Downloads
    Updated July 10, 2020 | Dataset date: Jun 25, 2020
    This dataset updates: Every week
    Raw Global 3W national data visualized in the Global Humanitarian Operational Presence Who, What, Where (3W) Portal as of 10 July 2020 Fields: 'Country_Code' -- example 'UKR' for Ukraine 'Sector' -- example 'CCCM' = Camp Coordination / Management 'Org_name' -- Organization name. Note these are not verified, cleaned, or standardized. 'Org_acr' -- Organization acronym. Note these are not verified, cleaned, or standardized. 'Org_type' -- INGO (International NGO), NNGO (National NGO), UN (United Nations), 'Undefined', or 'Other' 'COVID_19' -- 'yes' / 'no' (pertaining to the context) '3w_month_year' -- date of data applicability Users with questions are encouraged to use the 'Contact the contributor' button below.
  • 200+ Downloads
    Updated July 10, 2020 | Dataset date: Apr 13, 2020-May 28, 2020
    This dataset updates: Every week
    West and Central Africa Coronavirus covid-19 situation
  • 100+ Downloads
    Updated July 9, 2020 | Dataset date: Mar 16, 2020-Jul 3, 2020
    This dataset updates: As needed
    Subnational data about Covid19 in Gambia - Infected (new cases, gender), Deceased, Recovered.
  • 200+ Downloads
    Updated July 9, 2020 | Dataset date: Feb 27, 2020-Jul 5, 2020
    This dataset updates: As needed
    Subnational data about Covid19 in Nigeria - Infected (new cases, gender), Deceased, Recovered.