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:

DMC (inc. LMM) for Windows DMC (inc. LMM) for Windows 
DMC (inc. LMM) for Mac OS X DMC (inc. LMM) for Mac OS X
DMC Tutorial DMC Tutorial
Example Data 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