Data Grid Completeness defines
a set of core data that are essential for preparedness and emergency response.
For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Grid Completeness board above. Please help us improve this feature by sending your feedback to
hdx@un.org.
Legend:
Presence, freshness, and quality of dataset
Dataset fully matches criteria and is up-to-date
Dataset partially matches criteria and/or is not up-to-date
We have provided the 3 word addresses of each health centre within the West African Region.
what3words is a simple, real-time, location referencing system which solves many of the key logistical issues facing aid and humanitarian organisations, for whom street addresses, GPS co-ordinates, and other systems don't exist or are problematic.
Using words means non-technical people can find any location more accurately and most importantly, communicate it more quickly, more easily and with less ambiguity than any other system.
For more information, to get our API or batch encode your coordinates visit http://www.developer.what3words.com
UNOSAT code FL20221019NGA This map illustrates cumulative satellite-detected water using VIIRS in Nigeria between 13 to 17 October 2022 compared with the period from 08 to 12 October 2022. Within the cloud free analysed areas of about 890,000 km², a total of about 30,000 km² of land appears to be affected. In the analysed areas, 738 health facilities and 1,424 schools are identified to be within or close to a flooded zone. In comparison with the period between 08 to 12 October 2022, water extent appears to have decreased of about 1,000 km². Based on Worldpop population data and the maximal flood water extent ~6,660,000 people are potentially exposed or living close to flooded areas amongst the 204 million people living in the analysed zone.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
UNOSAT code FL20221019NGA This map illustrates cumulative satellite-detected water using VIIRS in Nigeria between 19 to 23 October 2022 compared with the period from 13 to 17 October 2022. Within the cloud free analysed areas of about 873,000 km², a total of about 25,000 km² of land appears to be affected. In the analysed areas, 664 health facilities and 1,160 schools are identified to be within or close to a flooded zone. In comparison with the period between 13 to 17 October 2022, water extent appears to have decreased of about 5,000 km². Based on Worldpop population data and the maximal flood water extent ~5,200,000 people are potentially exposed or living close to flooded areas amongst the 197 million people living in the analysed zone.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
UNOSAT code FL20221019NGA This map illustrates cumulative satellite-detected water using VIIRS in Nigeria between 1 to 25 October 2022 compared with the period from 1 to 30 September 2022. Within the cloud free analysed areas of about 912,000 km², a total of about 48,300 km² of land appears to be affected. In the analysed areas, 1,370 health facilities and 2,730 schools are identified to be within or close to a flooded zone. In comparison with the period between 1 to 30 September 2022, water extent appears to have increased of about 2,300 km². Based on Worldpop population data
and the maximal flood water extent ~12,200,000 people are potentially exposed or living close to flooded areas amongst the 220 million people
living in the analysed zone.
This is a preliminary analysis and has
not yet been validated in the field.
Please send ground feedback to the
United Nations Satellite Centre
(UNOSAT).
Here we provide version 1 Flowminder (www.flowminder.org) human mobility models for West Africa, together with WorldPop population density data for the region, to support ongoing efforts to control the ebola outbreak. Before downloading any data, please read the documention carefully as it provides details on the datasets and models provided through the links below. The mobility data refer to estimated patterns before the Ebola outbreak and should be interpreted with caution for Ebola affected countries as mobility patters are known to have changed.
Additional discussion by the authors around the use of mobile operator data for epidemilogical research see: http://currents.plos.org/outbreaks/article/containing-the-ebola-outbreak-the-potential-and-challenge-of-mobile-network-data/
UNOSAT code: FL20220721NGA This map illustrates satellite-detected surface waters in Gujba LGA, Yobe state, Nigeria as observed from a Sentinel-1 image acquired on 18 Jul 2022 at 18:22 local time. Within the analyzed area of about 1,040 km2, about 22 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 1,400 people are potentially exposed or living within/close to flooded areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
SURVEILLANCE SYSTEM FOR ATTACKS ON HEALTH CARE (SSA)
The SSA displays data from countries with complex humanitarian emergencies, as mandated in resolution [WHA 65.20]
http://ssa.who.int
This dataset contains 3018 verified attacks against health activities. Is taken from the SSA system coordinated and maintained by WHO.
For more innformation contact ssa@who.int
Dates 31/12/2021
25/02/2017
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.comwww.dalberg.com
Cumulative number of health-care workers infected with Ebola. Extracted from WHO: Ebola Response Roadmap Situation Reports, the last of which was on 4 November 2015.
Total number of existing beds in EVD treatment units. Extracted from WHO: Ebola Response Roadmap Situation Reports, the latest of which was on 31 December 2014.
Cumulative number of health-care workers that died from Ebola infection. Extracted from WHO: Ebola Response Roadmap Situation Reports, the latest of which was on 4 November 2015.
The Teacher Development Programme (TDP) is a six-year (2013-2019) programme funded by the UK Department for International Development. It seeks to improve the quality of teaching in primary schools, junior secondary schools, and colleges of education at the state level in northern Nigeria. It works through in-service training for primary teachers, reform of pre-service teacher education, and strengthening evidence-based research on teaching.
Oxford Policy Management has conducted an independent impact evaluation of TDP. This evaluation focuses on the first of these three outputs: in-service training and support for primary teachers in the three core curriculum subjects of English, mathematics, and science. The programme initially operated in three states, Jigawa, Katsina, and Zamfara, and was later extended to Kaduna and Kano. This survey covers a group of schools that were randomly assigned to receive the TDP intervention in Jigawa, Katsina, and Zamfara, and a control group of schools in the same states that did not receive the TDP intervention.
The impact evaluation is a theory-based, mixed-methods design. At the core is a constrained randomised design, with half of the sample schools assigned to receive the TDP intervention, while the other half was assigned to the control group. The main source of quantitative data is the sample panel survey of 330 schools in Jigawa, Katsina, and Zamfara conducted in 2014 and 2017. At each sample school, the head teacher and a sample of teachers and pupils were interviewed and tested on their subject knowledge in English, mathematics, and science; lesson observations were conducted; a teacher roster was compiled; and classroom attendance by teachers and pupils was measured.
The data from the endline survey are from the TDP IE quantitative endline survey conducted in 2017. For the qualitative research findings and methods see the final endline report provided below.
The Nigeria Teacher Development Programme (TDP) In-Service Training Component Impact Evaluation 2014 is a DFID-funded programme, managed by a consortium led by Mott Macdonald. Its aim is to increase the effectiveness of teachers and thus raise primary and junior secondary school (JSS) pupil learning levels, through support to the Federal and State institutions responsible for pre- and in-service training and development of basic education teachers. The programme has the following three components:
In-service teacher training in the three core curriculum subjects of English, maths, and science & technology (S&T) for primary and JSS teachers; Pre-service teacher training; and Results & evidence-based research.
The dataset contains the list of Sahel/regional output indicators and country-specific indicators as defined in the the 9 Sahel countries SRPs 2015 process by each cluster. The data includes the annual target per indicator per country and the achievements on a month to month basis.
The dataset illustrates the list ongoing activities from the 2015 Strategic Response Plans (SRP) of the 9 Sahel countries. The data was collected from partners who reported on their monthly project achievements via The Sahel Online Reporting System (ORS).
The dataset contains a list of all the projects that were approved in the SRP 2015 via the UNOCHA Online Project System (OPS) for 9 Sahel appeal countries i.e. Burkina Faso, Mauritania, Mali, Niger, Chad, Nigeria, Gambia, Cameroon and Senegal.
The dataset contains the cluster frameworks of the 9 Sahel countries as defined during the SRP 2015 process by each cluster. The cluster framework includes a set of activities and indicators identified by cluster/sector focal points in each country and are linked to the Sahel Strategic Objectives. Partners uploading projects on OPS would see the activity indicators and select the activities they will be undertaking for their projects and define project targets.
The dataset contains the list of Sahel/regional output indicators and country-specific indicators as defined in the the 9 Sahel countries SRPs 2015 process by each cluster.
This data set contains information about to the Ebola treatment centres, Isolation centres and transit centres in regards to the West Africa Ebola outbreak. The dataset is updated daily.
This report explores food insecurity in Nigeria in the context of urbanization and demographic change. A comparison of changing acute food security measures (IPC) from January and February 2010-2018 accompanies the report. The authors, Jordan Burnett, Leah Nadel, Victoria Santiago, and Arline Tarazona, completed their research in partial fulfillment of Public Health coursework in Medical Geography, for Spring 2018, at Drew University. Dr. Lisa Jordan edited the report and supplemented their work with additional spatial data.