ACAPS

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  • 100+ Downloads
    Time Period of the Dataset [?]: March 15, 2022-March 19, 2024 ... More
    Modified [?]: 21 February 2024
    Dataset Added on HDX [?]: 15 March 2022
    This dataset updates: Every month
    The Risk List enumerates the risks ACAPS analysts have identified. ACAPS analysts conduct daily monitoring and independent analysis of more than 150 countries to support evidence-based decision-making in the humanitarian sector. The information comes from publicly available sources and expert opinions. Learn more about the ACAPS Risk list: https://www.acaps.org/en/thematics/all-topics/risk-list
  • 100+ Downloads
    Time Period of the Dataset [?]: October 11, 2022-March 19, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 11 October 2022
    This dataset updates: Every month
    ACAPS Humanitarian Access Events Monitoring Dataset tracks humanitarian access events on a global level, using various publicly available sources. Data is collected and reviewed regularly, and the dataset is continuously updated and collected at countrywide level or administrative level 1. This dataset presents broad coverage of the reported information to flag events that may affect access to the aid and basic services that humanitarian responders provide. The goal is to inform and support evidence-based decision-making in the humanitarian sector. For more information, please check Codebook: https://www.acaps.org/sites/acaps/files/products/files/20220920_acaps_global_analysis_hub_humanitarian_access_events_monitoring_codebook_0.pdf Methodology note: https://www.acaps.org/fileadmin/Technical_notes/20211207_acaps_humanitarian_access_methodology_note_december_2021.pdf Website: https://www.acaps.org/en/data
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2021-March 19, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 27 February 2023
    This dataset updates: Every month
    The dataset tracks protection events on a global level, using various publicly available sources, including – but not limited to – local, regional, and international operational and non-operational humanitarian organisations; UN agencies; media; and social media platforms. Data is collected and reviewed regularly, and the dataset is continuously updated. Methodology ACAPS has identified categories for tracking ‘protection events’, including one-time events, policies, and recurrent violations. Protection events are those that impede people’s meaningful access to humanitarian assistance and their rights, safety, and dignity. These events may impose violence, coercion, or deliberate deprivation​. In the table below, we present the list of protection indicators and their scope. The Protection Indicators Monitor Dataset provides information relevant to the main protection threats, vulnerabilities, and coping strategies of affected populations and the existing capacities to address them. It informs decision makers and humanitarian responders about potential protection risks to the affected people and/or their service operations.
  • 500+ Downloads
    Time Period of the Dataset [?]: December 01, 2022-March 19, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 7 February 2023
    This dataset updates: Every month
    This dataset consolidates key indicators of the Ukraine crisis for the regular comparison and analysis of available data and the tracking of changes in the humanitarian situation. Data is sourced from publicly available information, such as reports from international and local humanitarian organisations, international and local media, social media platforms, UN agencies, and official government websites. The dataset is released monthly, and historical versions are available since January 2022.
  • 60+ Downloads
    Time Period of the Dataset [?]: October 01, 2022-March 19, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 24 May 2023
    This dataset updates: Every month
    ACAPS Information Landscape Dataset is a repository of data on the information landscape (or ‘information ecosystem’) in humanitarian settings, tracking the events and trends that affect the way information is handled, circulated and received by people affected in crisis settings. It aims to inform the users about: information disorders (disinformation, misinformation, malinformation) vulnerability of specific groups within the context / safety and dignity of people accessing information (stigma trends, hate-speech) access to information (telecommunication infrastructures damage or limitation, accurate information access, information trust and literacy, digital literacy) information freedom and security (journalist safety, censorship, digital security, communication shutdown and restrinctions) The dataset aims to inform humanitarian actors and analyst, on how to handle information and how to approach the information coming from specific context, to provide some useful insights on how to communicate in specific context, both publicly and with population affected, and how the population receives information. The framework was develop by a partnership between ACAPS and Internews.
  • 1800+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-February 28, 2024 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 28 February 2021
    This dataset updates: As needed
    This dataset brings together data from a range of sources to provide a greater overall and comparative understanding of the current situation and context inside each district. The core indicators consist of key drivers (conflict, basic commodity prices, exclusion and marginalization, and disrupted access to life-saving services and income sources) and their major expected humanitarian impacts (food insecurity, cholera).
  • 7200+ Downloads
    Time Period of the Dataset [?]: August 18, 2021-February 05, 2024 ... More
    Modified [?]: 11 March 2024
    Dataset Added on HDX [?]: 18 August 2021
    This dataset updates: Every two weeks
    This bi-weekly dataset provides an overview of the latest areas of control in Yemen and includes a map, excel spreadsheet and GIS layer. All datasets are fully PCODED to Admin 2 district level, enabling interoperability with other datasets. Through understanding the latest areas of control, it is possible to enhance analysis in areas such as political-economy through adjusting tools to take into account the current geographic situation. This dataset forms part of the Yemen CrisisInsight product suite which includes the Yemen Core Dataset, Yemen: Crisis Impact Overview and Yemen Risk Overview.
  • 5700+ Downloads
    Time Period of the Dataset [?]: January 01, 2019-February 01, 2024 ... More
    Modified [?]: 7 March 2024
    Dataset Added on HDX [?]: 10 July 2019
    This dataset updates: Every month
    The INFORM Severity Index is a regularly updated, and easily interpreted model for measuring the severity of humanitarian crisis globally. It is a composite index, which brings together 31 core indicators, organised in three dimensions: impact, conditions of affected people, and complexity. All the indicators are scored on a scale of 1 to 5. These scores are then aggregated into components, the three dimensions (Impact, Conditions, Complexity), and the overall severity category based on the analytical framework. The three dimensions have been weighted according to their contribution to severity: impact of the crisis (20%); conditions of affected people (50%); complexity (30%). The weightings are currently a best estimate and will be refined using expert analysis and statistical methods. Each crisis will fall into 1 of 5 categories based on their score ranging from very low to high. ACAPS – an INFORM technical partner – is responsible for collection, cleaning, analysis and input of data into the model and the production of the final results. Read more about the INFORM Severity Index: https://www.acaps.org/en/thematics/all-topics/inform-severity-index
  • 100+ Downloads
    Time Period of the Dataset [?]: October 11, 2022-March 19, 2024 ... More
    Modified [?]: 22 February 2024
    Dataset Added on HDX [?]: 11 October 2022
    This dataset updates: As needed
    The Seasonal Events Calendar Dataset presents broad coverage of the reported information to flag events that may affect access to basic services. It also enables the more efficient and quicker production of custom calendars and monitoring of upcoming events. The dataset contains two separate tables. The seasonal calendar table tracks seasonal events occurring in each country in a typical year. The events timeline table tracks when seasonal events occur during a specific year, starting from 2022. The information comes from publicly available sources. . Data is collected and reviewed regularly, and the dataset is continuously updated and collected at countrywide level or administrative level 1. For more information, please check https://www.acaps.org/en/data
  • 300+ Downloads
    Time Period of the Dataset [?]: September 20, 2022-March 19, 2024 ... More
    Modified [?]: 21 September 2023
    Dataset Added on HDX [?]: 20 September 2022
    This dataset updates: As needed
    This dataset brings together data from a range of sources to provide a greater overall and comparative understanding of the current situation and context inside each district. The core indicators consist of key drivers (conflict, basic commodity prices, exclusion and marginalization, and disrupted access to life-saving services and income sources) and their major expected humanitarian impacts (food insecurity, cholera). ACAPS tracks changes in these indicators and alerts the humanitarian community to emerging trends or risks that could overwhelm local coping mechanisms in Afghanistan, triggering a humanitarian emergency.
  • 500+ Downloads
    Time Period of the Dataset [?]: December 15, 2020-December 15, 2020 ... More
    Modified [?]: 28 July 2022
    Dataset Added on HDX [?]: 14 December 2020
    This dataset updates: Every six months
    ACAPS' Humanitarian Access Dataset puts together all the pieces of information on Humanitarian Access Constraints of the first half of 2021. The report resulting from this dataset is the Humanitarian Access Overview, which outlines how access to humanitarian assistance continues to be restricted for crisis-affected populations in more than 60 countries. Data from the dataset is coded according to access dimensions, indicators and sub-indicators, then scored on a 0 to 5 severity scale. The dataset displays: data collected, coded in "log" tab with its "data dictionary" aggregation of data by country, scored per "indicator" country scores (pillars, overall access score and information gaps) in "Scores" tab gis compatible clean tab with ISO codes According to this data, we identified the following: Extreme access constraints (Level 5) for: Eritrea, Libya, Syria, Yemen. Very high access constraints (Level 4) for: Afghanistan, Bangladesh, Cameroon, Democratic Republic of Congo (DRC), Ethiopia, Iraq, Mali, Myanmar, Nigeria, Palestine, Somalia, South Sudan, Venezuela. High access constraints (Level 3) for: Azerbaijan, Burkina Faso, Central African Republic (CAR), Chad, Colombia, Democratic People’s Republic of Korea (DPRK), Honduras, India, Iran, Lebanon, Mozambique, Nicaragua, Niger, Pakistan, Sudan, Turkey, Ukraine. For more information, download the dataset. To access ACAPS' Humanitarian Access Overview, please visit: https://www.acaps.org/en/thematics/all-topics/humanitarian-access
  • 36000+ Downloads
    Time Period of the Dataset [?]: March 17, 2020-March 17, 2020 ... More
    Modified [?]: 10 December 2020
    Dataset Added on HDX [?]: 18 March 2020
    This dataset updates: Never
    The #COVID19 Government Measures Dataset puts together all the measures implemented by governments worldwide in response to the Coronavirus pandemic. Data collection includes secondary data review. The researched information available falls into five categories: Social distancing Movement restrictions Public health measures Social and economic measures Lockdowns Each category is broken down into several types of measures. ACAPS consulted government, media, United Nations, and other organisations sources. For any comments, please contact us at info@acaps.org Please note note that some measures together with non-compliance policies may not be recorded and the exact date of implementation may not be accurate in some cases, due to the different way of reporting of the primary data sources we used.
  • 100+ Downloads
    Time Period of the Dataset [?]: August 27, 2021-March 19, 2024 ... More
    Modified [?]: 30 August 2021
    Dataset Added on HDX [?]: 30 August 2021
    This dataset updates: As needed
    Haiti Earthquake (M7.2) Preliminary Satellite-Based Comprehensive - Damage assessment (Grande’Anse, South, and Nippes departments of Haiti, 27 August 2021)
  • 100+ Downloads
    Time Period of the Dataset [?]: March 01, 2022-March 19, 2024 ... More
    Modified [?]: 10 February 2023
    Dataset Added on HDX [?]: 10 February 2023
    This dataset updates: Every week
    This is a collection of all the available data on Turkiye and Syria in the ACAPS database as of 10.02.2023. The collection puts together the extraction of data from the following datasets and products: INFORM Severity Index (TUR005, SYR002, REG015 crises) ACAPS Humanitarian Access (TUR005, SYR002, REG015) Humanitarian Access Events Dataset Events Timeline Seasonal Calendar ACAPS Risk List Protection Monitoring Dataset* this product is not yet publicly available, but they will be published as standalone global products in the next weeks. ACAPS supports the earthquake response with a comprehensive data repository, providing both baseline pre-earthquake data, and in-crisis data. All these datasets are available with more frequent releases on the ACAPS API Please refer to http://www.acaps.org for the detailed codebooks of each dataset. For any inquiry please reach out to info@acaps.org
  • 100+ Downloads
    Time Period of the Dataset [?]: May 26, 2020-May 26, 2020 ... More
    Modified [?]: 26 May 2020
    Dataset Added on HDX [?]: 26 May 2020
    This dataset updates: As needed
    The COVID-19 Humanitarian Exemptions to Government Measures Dataset puts together all the measures implemented by governments worldwide in response to the Coronavirus pandemic.
  • 200+ Downloads
    Time Period of the Dataset [?]: February 15, 2021-March 19, 2024 ... More
    Modified [?]: 5 July 2021
    Dataset Added on HDX [?]: 17 March 2021
    This dataset updates: As needed
    Subnational dataset on the 2021 Ebola outbreak in Guinea including cases, deaths, hospitalisations, contact tracing, and vaccinations. The data is down to sub-prefecture level and updated approx 1-3 days since 15/02/21. The data has been extracted from the Government of Guinea situation reports, available from Relief Web. The dataset contains the following information: - Cas: Distribution of Ebola cases by health district, including suspected, confirmed, and probable cases. - Patients et des décès: Situation of patients and deaths in epidemiological treatment centres, including hospitalisations, discharges, and deaths. - Suivi des contacts: Status of contact tracing including number of contacts followed up, number not followed up, reasons for not following up, follow-up rate, contacts still remaining to follow up, and number of contacts who have become suspected cases. - Vaccinations: Vaccination results and targets in N’Zérékoré, including target contacts, daily vaccine contacts, number vaccinated (cumulative), and percent of target contacts who have been vaccinated. For more information, please see the README sheet of the dataset. For any questions, please contact ah@acaps.org. Read the ACAPS short note Ebola outbreak in Guinea: https://www.acaps.org/country/guinea/special-reports#container-1630
  • 400+ Downloads
    Time Period of the Dataset [?]: September 09, 2020-September 09, 2020 ... More
    Modified [?]: 2 December 2020
    Dataset Added on HDX [?]: 9 September 2020
    This dataset updates: Never
    The objective of the dataset is to provide information that enables decision makers to better direct their efforts in addressing the wider effects of the COVID-19 pandemic. The dataset will track secondary impacts across a wide range of relevant themes: economy, health, migration, education to name a few. A set of around 80 impact indicators anticipated to be impacted by COVID-19 have been identified and organised across 4 pillars and 13 thematic blocks. Additionally, a set of around 25 pre-COVID-19 baseline indicators have been selected for each pillar. The data collection is conducted on a country-level and identifies the secondary impacts the COVID- 19 pandemic is having in more than 190 countries. Data comes from a range of available sources, including international organisations, research centres, and media analysis. Note: These are the preliminary results of the data collection on secondary impacts. This dataset is currently in the beta-testing phase, we will keep improving and updating in the coming weeks.