Project Outputs
Additional information, outputs and data can also be found at QWeCI partners' own QWeCI websites:
http://www.meteo.unican.es/projects/qweci
http://qweci.uni-koeln.de/
http://www.ecmwf.int/research/EU_projects/QWECI/
On this page you can find the following items:
Newsletters and general documents
Deliverables
Milestones
Software
Data
Presentations and publications
Note: The PDF files on this website are intended for download for personal use and individual viewing only. They should not be made available on other websites and dissemination in electronic or print form is prohibited. Every effort has been made to ensure that the information contained in these documents is accurate. However, if you have any comments or queries regarding these documents, please get in touch with the QWeCI project office via the contact form.
Newsletters and general documents
QWeCI Bilingual Brochure
QWeCI letter of presentation
QWeCI Newsletter Issue No. 1
QWeCI Newsletter Issue No. 2
QWeCI Newsletter Issue No. 3
QWeCI Newsletter Issue No. 4
QWeCI Newsletter Issue No. 5
QWeCI Newsletter Issue No. 6
QWeCI Final Newsletter September 2013, No. 7
Deliverables
Publicly available deliverable and milestone reports sorted by work package can be found in the project structure section. Detailed planned deliverables sorted by month are listed below (publicly available submitted deliverable reports are attached where possible):
Del. no.
|
Deliverable name
|
Delivery month
|
D5.4.a
|
Historical disease data contribution for WP1.1
D5.4a: Historical disease data contribution for WP1.1
|
3
|
D5.4.b
|
Historical atmospheric station data contribution for WP1.2.
D5.4b: Historical atmospheric station data contribution for WP1.2
|
3
|
D5.4.c
|
Report from end-users concerning format of information preferred.
D5.4c: Report from end-users concerning format of
|
3
|
D6.2.a
|
Project website
D6.2.a – Project Website
|
3
|
D5.3.a
|
Database (with climate, environment and disease datasets) Links to WP1.1 and WP 1.2.
D5.3a: Database (with climate, environment and disease datasets). Links to WP1.1
|
6
|
D3.1.a
|
Assessment report on the skill of global seasonal predictions in Africa using a quintile interval-based validation
D3.1a: Assessment report on the skill of global seasonal
|
9
|
D1.3.a
|
Review document for governmental and NGO planners concerning state-of-the-art knowledge concerning climate driver impact on target disease incidence and present climate vulnerabilities for endemic and epidemic incidence according to these relationships.
D1.3.a – Review document for governmental and NGO planners concerning state-of-t
|
12
|
D5.1.a |
Report on the needs of African decision makers regarding the depth of analyses necessary for the decision process.
D5.1.a – Report on the needs of African decision makers regarding the depth of a
|
12 |
D5.4.d
|
Report from ICTP concerning potential forecast dissemination format.
D5.4d: Report from ICTP concerning potential forecast dissemination format
|
12
|
D6.2.b
|
Bilingual English-French brochure
D6.2b Bilingual English-French brochure.
|
12
|
D1.2.a
|
Database with gridded climate and remote sensed data and observed meteorological data
D1.2a: Database with gridded climate and remote sensed data and observed meteoro
|
15
|
D2.1.a
|
Report on dynamic malaria model runs for regions of interest and verification against data sets.
D2.1a Report on dynamic malaria model runs for regions of interest and verificat
|
15
|
D3.1.b
|
QWeCI Statistical Downscaling Portal established and open to partners with an initial set of statistical-based seasonal predictions for the target regions, with documentation and support on good practises of use.
D3.1b: QWeCI Statistical Downscaling Portal
|
15
|
D6.1.a
|
Assessment of results from first year extended visits.
D6.1.a – Assessment report from first year extended visits
|
15
|
D1.1.a
|
Report on current climate controls on selected infectious disease in Africa, based on database analysis and projection
D1.1a: Report on current climate controls on selected infectious disease in Afri
|
18
|
D5.4.e
|
Report on implementation of real-time data logging system for disease incidence monitoring.
D5.4e: Report on implementation of real-time data logging system for disease inc
|
18
|
D6.2.c
|
Two Reports on first African Workshops in Dakar and Blantyre
D6.2c: Report on African Workshops
|
18
|
D7.a |
First periodic report |
20 |
D1.2.b
|
Assessment of ECMWF interim reanalysis products for target countries
D1.2b: Assessment of ECMWF interim reanalysis products for target countries
|
24
|
D1.3.b
|
Scientific publication validating existing published climate-driver disease (principally malaria and Rift Valley Fever) incidence relationships in pilot project target countries and appropriate modifications to these relationships in a future climate
D1.3b – Scientific publication validating existing published climate-driver dise
|
24
|
D3.1.c
|
Report on the skill of dynamical predictions for southern Africa
D3.1.c – Report on the skill of dynamical predictions for southern Af
|
24
|
D3.1.d
|
Regional seasonal predictions, with uncertainty estimations, in the target regions, and inclusion in the QWeCI statistical downscaling portal, accessible to partners in user-friendly formats.
D3.1d: Regional seasonal predictions, with uncertainty
|
24
|
D3.2.a
|
Preliminary assessment of the characteristics of interannual variations of the intraseasonal variability of African temperature and precipitation in dynamical models and observations.
D3.2a: Preliminary assessment of the characteristics of interannual variations o
|
24
|
D4.1.a |
Report on the seamless integration of a dynamic disease model with monthly and seasonal ensemble prediction system hindcasts. |
24 |
D5.1.d
|
MT for Standing Water
D5.1.d – Monitoring for Standing Water
|
24
|
D5.3.b
|
Entomological profile of the Barkedji Environment and Health Observatory for malaria and RVF vectors.
D5.3.b: Entomological profile of the Barkedji
|
24
|
D5.3.c
|
Climate change projection and it impacts on health (malaria and RVF) for Barkedji Observatory region.
D5.3c: Climate change projection and its impact on health (malaria and RVF) for
|
24
|
D5.4.f
|
Implemented forecast dissemination, decision support system with WP 5.1
D5.4f – Implemented forecast dissemination, decision
|
24
|
D1.2.c
|
Final, documented database of observations for WP1.1 ready for transfer into the AMMA data base
D1.2c: Final, documented database of observations for WP1.1 ready for
|
26
|
D2.1.b
|
Report on the performance of the dynamic and semi-dynamical modelling approaches for selected diseases for regions in Africa
D2.1b Report on the performance of the dynamic and semi-dynamical modelling appr
|
28
|
D3.1.e |
Report on the seamless calibrated products for disease-related variables integrating the output from medium-range, monthly and seasonal ensemble forecast systems using ECMWF products. |
28 |
D5.2.a
|
Report on entomological and parasitological malaria data for each field season, with maps of larval and adult mosquito habitats, water temperature of larval habitats; and map of malaria risk areas.
D5.2a: Report on entomological survey of malaria data for each field season, wit
|
28
|
D5.3.d
|
Vulnerability and risk cartography of malaria and RVF at the Barkedji Observatory.
D5.3.d: Vulnerability and risk cartography of malaria and RVF at the Barkedji Ob
|
29
|
D3.2.b
|
Report on the advantages in terms of forecast quality of the combination of dynamical and statistical models of interannual and decadal variability for Africa.
D3.2b: Report on the advantages in terms of forecast
|
30
|
D4.1.b |
Report on decadal ensemble prediction system integration with a dynamic disease model |
30 |
D4.1c
|
Description of the pilot integrated multi-agent system
D4.1c: Description of the pilot integrated multi-agent system
|
30
|
D5.2.b
|
Report on the correlation between malaria observations and meteorological/ecological and environmental variables and correlation between water temperature and meteorological variables
D5.2b: Report on the correlation between malaria observations and meteorological
|
30
|
D6.1.b
|
Assessment of results from second year extended visits.
D6.1b: Assessment of results from second year extended visits
|
30
|
D6.2.d
|
Report on the follow-up workshop.
D6.2d: Completion of Pretoria workshop
|
30
|
D7.b |
Second periodic report |
32 |
D5.2.c
|
Report on the validation and improvements of the LMM and malaria seasonal forecasts based on LMM.
D5.2c: Report on the validation and improvements of the LMM and malaria seasonal
|
33
|
D5.4.g |
Report concerning end-user experience and feedback from first season of use; other potential sites for wireless network in Malawi, and other potential countries that could benefit from such a system. |
33 |
D5.1.b
|
Multi agency system
D5.1b Multi Agency System
|
36
|
D5.1.c
|
Health Early Warning System
D5.1c: Formation of a Health Early Warning System
|
36
|
D5.1.e
|
Disease Operation System
D5.1.e: Disease Operation System
|
36
|
D5.1.f
|
MT of Near-Real Time Disease Incidence in Health Clinics
D5.1f MT of Near-Real Time Disease Incidence in Health Clinics
|
36
|
D5.2.d
|
DSS and malaria early warning system for the Kumasi area with WP5.1
D5.2d: DSS and Malaria Early Warning for Kumasi
|
36
|
D1.1.b
|
Report on current climate sensitivities of disease and projections of future distributions including a mapped output on the project website
D1.1b: Report on current climate sensitivities of diseases and projections of fu
|
38
|
D5.3.e
|
GIS HEWS - Development of decision support systems for end users in conjunction with WP 5.1.
D5.3e: Open GIS Source software
|
38
|
D6.3.a |
Final Pilot Project Report: summarizing the success and failures in each pilot project and making recommendations for improvements and future pilot projects. |
38 |
D6.2.f |
Non-technical summary of the project overview for end-users (including policy makers, NGOs) |
40 |
D6.2.e
|
Twice annual newsletter
D6.2.e – Twice Annual Newsletter
D6.2.e – Twice Annual Newsletter (M18)
D6.2.e – Twice Annual Newsletter (M24)
D6.2.e (M30) – Twice annual newsletter
D6.2.e – Twice annual newsletter (M36)
|
6, 12, 18, 24, 30, 36 and 42
|
D7.c |
Third periodic report
D7c Final Report
|
44 |
D7.d |
Final Report including plan for use and dissemination of foreground and Report on societal implications.
QWeCI Final Report
|
44 |
Milestones
Publicly available milestone reports are as follows:
M1.1a: Completion of main phase of data entry to database
M1.1b: Completion of disease-climate relationships from pilot projects
M1.2.a: Furnish database on hard disk to African partners
M1.2.b – Final documented database transferred into the AMMA database
M1.3.a – Review document for governmental and NGO planners completed
M2.1.a – Generalised single host, single vector dynamic vector-pathogen-host mod
M3.1 a: Prototype seamless products from monthly to seasonal EPS systems
M3.2a: Prototype seamless decadal ensemble
M4.1a – Preliminary analysis of the existing dynamic malaria model with a seamle
M4.1b - Pilot Integration of the existing dynamic malaria model with a decadal e
M5.1.a: First versions of all SDSS, IS, and MT based on the knowledge attainment
M5.1.a (M24) First versions of all SDSS, IS, and MT based on the knowledge atta
M5.1a (M30) First versions of all SDSS, IS, and MT based on the knowledge attain
M5.1.b: Final versions (including documentation) of all SDSS, IS, and MT (provis
M5.2a: Longitudinal survey of entomological and confirmed malaria cases (data)
M5.2b: Malaria seasonal forecast
M5.3a: Workshop on common observing strategies
M5.3.b – Field Campaign Year one
M5.3.c: Implementation of computer systems for analysis and modelling of dataset
M5.3.d: Field campaign report year two
M5.3.e: GIS HEWS conceptual model
M6.1a: First Exchange Visits Concluded
M6.2a: Completion of the ICTP symposium
M6.2b: Completion of the Pretoria Symposium
M7.a – Project kick-off meeting
M7.b: Completion of the final project symposium
Software
Disease Model Cradle (including the Liverpool Malaria Model), tutorial and example data:
Data
http://www.zoonosis.ac.uk/EID2/
http://www.ecmwf.int/research/EU_projects/QWECI/
http://qweci.uni-koeln.de
https://www.meteo.unican.es/downscaling/qweci
http://database.amma-international.org/
Presentations and publications
QWeCI publications
QWeCI publications are listed here: QWeCI publications list
QWeCI forecasts for Ghana, Malawi and Senegal
ECMWF System 4 outputs have been used to drive the LMM (Liverpool Malaria Model) for the three QWeCI partner countries:
ECMWF System 4 forecasts for malaria in Ghana
ECMWF System 4 forecasts for malaria in Malawi
ECMWF System 4 forecasts for malaria in Senegal
QWeCI science talks:
Work package overview and detailed planning presentations from project meetings are available on request from the QWeCI project office.
Science talks from the final annual meeting hosted by IC3 in Barcelona in May 2013 can be found here: Presentations
QWeCI and related science talks at the 2012 annual meeting (ILRI, Nairobi) included:
Day 1
Adrian Tompkins Regional seasonal forecasting activities at ICTP: climate and malaria
Francesca Di Giuseppe A prototype Malaria Early Warning System
Gulilat Tefera Diro Dynamical Downscaling of ECMWF Seasonal Forecasts: case studies over Eastern and
Cyril Caminade The impact of climate change on malaria distribution in Africa: a multi-model ap
Day 2
George Michuki Genomics platform and AVID project
Bernard Bett Statistical modelling - RVF Updates on dynamic model Other RVF projects in ILRI
Dave Macleod Using the Liverpool Malaria Model to explore the uncertainty in the relationship
Marie McIntyre The validity of using automated evidence of pathogen occurrence from bibliometri
Mary Kilavi Kenya's climate
Volker Ermert Correlation of water temperatures of temporary water bodies with atmospheric tem
Day 3
Adeola Abiodun Linkage Between Climatic and Environmental Factors and Malaria Vector Habitat in
James Chirombo A statistical modelling approach to identify the importance of climate as a driv
Kathy Kreppel The effects of climate on the epidemiology of plague in Madagascar
Kibii Komen Using ARDL-bounds test and spatial-temporal approaches to examine the influence
Leonard Amekudzi Changes in precipitation over Ghana for last 50 years: Assessment of the ability
Sammy Tay Urinary Schistosomiasis in Ghana: resurgence in Urban and Peri-Urban Settlements and associated paper Prevalence of schistosoma haematobium infection in Ghana ...
Xavier Rodo Malaria models for Senegal and the role of climate in malaria predictability
Background information about the EU-Africa partnership
http://ec.europa.eu/research/iscp/pdf/eu-africa.pdf
http://ec.europa.eu/research/iscp/pdf/eu_africa_partnership_en.pdf