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  • Bangladesh - Joint Protection Monitoring - Q3 2023
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: July 01, 2023-September 30, 2023 ... More
    Modified [?]: 4 October 2024
    Dataset Added on HDX [?]: 6 October 2024
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Bangladesh - Joint Protection Monitoring
    Six agencies conducted protection monitoring to inform protection programming and advocacy through a common and standardized evidence-based information collection. In the third quarter of 2023, focus group discussions, home visits, direct observation and key informant interviews were conducted in 33 camps to record and verify incidents violations of refugees rights. The protection monitoring contributed to a joint analysis of risks, threats, vulnerabilities, and incidents, as well as patterns and trends.
  • Bangladesh - Joint Protection Monitoring - Q4 2023
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: October 01, 2023-December 31, 2023 ... More
    Modified [?]: 4 October 2024
    Dataset Added on HDX [?]: 6 October 2024
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Bangladesh - Joint Protection Monitoring
    Six agencies conducted protection monitoring to inform protection programming and advocacy through a common and standardized evidence-based information collection. In the fourth quarter of 2023, focus group discussions, home visits, direct observation and key informant interviews were conducted in 33 camps to record and verify incidents violations of refugees rights. The protection monitoring contributed to a joint analysis of risks, threats, vulnerabilities, and incidents, as well as patterns and trends.
  • Bangladesh - Joint Protection Monitoring - Q4 2022
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: July 01, 2022-September 30, 2022 ... More
    Modified [?]: 28 December 2023
    Dataset Added on HDX [?]: 7 January 2024
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Bangladesh - Joint Protection Monitoring
    Six agencies conducted protection monitoring to inform protection programming and advocacy through a common and standardized evidence-based information collection. In the third quarter of 2022, focus group discussions, home visits, direct observation and key informant interviews were conducted in 33 camps to record and verify incidents violations of refugees rights. The protection monitoring contributed to a joint analysis of risks, threats, vulnerabilities, and incidents, as well as patterns and trends.
  • Bangladesh - Joint Protection Monitoring - Q1 2023
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: January 01, 2023-March 31, 2023 ... More
    Modified [?]: 28 December 2023
    Dataset Added on HDX [?]: 7 January 2024
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Bangladesh - Joint Protection Monitoring
    Six agencies conducted protection monitoring to inform protection programming and advocacy through a common and standardized evidence-based information collection. In the first quarter of 2023, focus group discussions, home visits, direct observation and key informant interviews were conducted in 33 camps to record and verify incidents violations of refugees rights. The protection monitoring contributed to a joint analysis of risks, threats, vulnerabilities, and incidents, as well as patterns and trends.
  • Bangladesh - Joint Protection Monitoring - Q2 2023
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: April 01, 2023-June 30, 2023 ... More
    Modified [?]: 28 December 2023
    Dataset Added on HDX [?]: 7 January 2024
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Bangladesh - Joint Protection Monitoring
    Six agencies conducted protection monitoring to inform protection programming and advocacy through a common and standardized evidence-based information collection. In the second quarter of 2023, focus group discussions, home visits, direct observation and key informant interviews were conducted in 33 camps to record and verify incidents violations of refugees rights. The protection monitoring contributed to a joint analysis of risks, threats, vulnerabilities, and incidents, as well as patterns and trends.
  • Bangladesh - Joint Protection Monitoring - Q2 2022
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: April 01, 2022-June 30, 2022 ... More
    Modified [?]: 21 September 2023
    Dataset Added on HDX [?]: 20 November 2023
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Bangladesh - Joint Protection Monitoring
    Six agencies conducted protection monitoring to inform protection programming and advocacy through a common and standardized evidence-based information collection. In the second quarter of 2022, focus group discussions, home visits, direct observation and key informant interviews were conducted in 33 camps to record and verify incidents violations of refugees rights. The protection monitoring contributed to a joint analysis of risks, threats, vulnerabilities, and incidents, as well as patterns and trends.
  • Bangladesh - Joint Protection Monitoring - Q3 2022
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: July 01, 2022-September 30, 2022 ... More
    Modified [?]: 21 September 2023
    Dataset Added on HDX [?]: 20 November 2023
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Bangladesh - Joint Protection Monitoring
    Six agencies conducted protection monitoring to inform protection programming and advocacy through a common and standardized evidence-based information collection. In the third quarter of 2022, focus group discussions, home visits, direct observation and key informant interviews were conducted in 33 camps to record and verify incidents violations of refugees rights. The protection monitoring contributed to a joint analysis of risks, threats, vulnerabilities, and incidents, as well as patterns and trends.
  • Bangladesh - Joint Protection Monitoring - Q1 2022
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: January 01, 2022-March 31, 2022 ... More
    Modified [?]: 21 September 2023
    Dataset Added on HDX [?]: 20 November 2023
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Bangladesh - Joint Protection Monitoring
    Six agencies conducted protection monitoring to inform protection programming and advocacy through a common and standardized evidence-based information collection. In the first quarter of 2022, focus group discussions, home visits, direct observation and key informant interviews were conducted in 33 camps to record and verify incidents violations of refugees rights. The protection monitoring contributed to a joint analysis of risks, threats, vulnerabilities, and incidents, as well as patterns and trends.
  • Afghanistan: Projected COVID-19 Sub-national Cases
    Johns Hopkins Applied Physics Lab
    90+ Downloads
    Time Period of the Dataset [?]: July 29, 2020-November 30, 2020 ... More
    Modified [?]: 4 July 2021
    Dataset Added on HDX [?]: 4 August 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: Johns Hopkins Applied Physics Lab - Projected COVID-19 subnational cases
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
  • Sudan: Projected COVID-19 Sub-national Cases
    Johns Hopkins Applied Physics Lab
    80+ Downloads
    Time Period of the Dataset [?]: July 29, 2020-November 30, 2020 ... More
    Modified [?]: 4 March 2021
    Dataset Added on HDX [?]: 5 August 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: Johns Hopkins Applied Physics Lab - Projected COVID-19 subnational cases
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
  • Somalia: Projected COVID-19 Sub-national Cases
    Johns Hopkins Applied Physics Lab
    80+ Downloads
    Time Period of the Dataset [?]: July 29, 2020-September 27, 2020 ... More
    Modified [?]: 4 March 2021
    Dataset Added on HDX [?]: 5 August 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: Johns Hopkins Applied Physics Lab - Projected COVID-19 subnational cases
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
  • Iraq: Projected COVID-19 Sub-national Cases
    Johns Hopkins Applied Physics Lab
    50+ Downloads
    Time Period of the Dataset [?]: July 29, 2020-November 30, 2020 ... More
    Modified [?]: 4 March 2021
    Dataset Added on HDX [?]: 1 December 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: Johns Hopkins Applied Physics Lab - Projected COVID-19 subnational cases
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
  • Democratic Republic of the Congo: Projected COVID-19 Sub-national Cases
    Johns Hopkins Applied Physics Lab
    50+ Downloads
    Time Period of the Dataset [?]: July 29, 2020-November 30, 2020 ... More
    Modified [?]: 1 February 2021
    Dataset Added on HDX [?]: 5 August 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: Johns Hopkins Applied Physics Lab - Projected COVID-19 subnational cases
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
  • South Sudan: Projected COVID-19 Sub-national Cases
    Johns Hopkins Applied Physics Lab
    70+ Downloads
    Time Period of the Dataset [?]: July 29, 2020-September 27, 2020 ... More
    Modified [?]: 1 January 2021
    Dataset Added on HDX [?]: 5 August 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: Johns Hopkins Applied Physics Lab - Projected COVID-19 subnational cases
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.