---
title: "How can we produce a time series of childhood wasting estimates, accounting for climate impacts?"
ocid: "ocds-r6ebe6-0000684235"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-r6ebe6-0000684235"
markdown_url: "https://d3tenders.com/contract/ocds-r6ebe6-0000684235.md"
json_url: "https://d3tenders.com/contract/ocds-r6ebe6-0000684235.json"
source: "Public Contracts Scotland"
current_stage: "Tender"
buyer: "UNIVERSITY OF EDINBURGH"
published: "2022-02-22"
---

# How can we produce a time series of childhood wasting estimates, accounting for climate impacts?

Buyer: UNIVERSITY OF EDINBURGH  
Current stage: Tender  
OCID: ocds-r6ebe6-0000684235

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## Summary

The University of Edinburgh is currently undertaking a tender process titled "How can we produce a time series of childhood wasting estimates, accounting for climate impacts?" This project falls under the education sector and is focused on generating reliable data concerning child wasting, which is a critical indicator in achieving Sustainable Development Goals. The tender is open, with a submission deadline set for 4 March 2022. The contract value is £138,000, and the work will be carried out in Edinburgh, UK. Bidders must submit their proposals electronically by the specified deadline, after which the bid opening will occur on 7 March 2022.

This tender presents an excellent opportunity for businesses involved in data analysis, modelling, and climate impact studies, particularly those with expertise in public health and nutrition. Companies that can provide innovative methodologies for cataloguing seasonal and climate data, as well as those capable of integrating this information with existing household survey data, will be well-positioned to compete. Collaborations with local stakeholders in the education and health sectors may also enhance competitiveness for this contract.

## Notice

Child wasting is a key Sustainable Development Goal target and indicator (SDG 2.2b). Even before the COVID-19 pandemic 47 million children were already wasted (a life- threatening form of malnutrition) in 2019. However, in specific countries, survey results on wasting have a variance of 10-20%, meaning that trends arising from these surveys are difficult to interpret. Several factors impact the consistency of these survey results, one of which is climate and seasonality. UNICEF, as part of the Joint Malnutrition Estimates (JME) working group and official co- custodian of SDG indicators 2.2 including on child wasting, currently uses data from MICS, DHS and other surveys with nutrition components to: * Create a dataset of country wasting estimates that are tagged with dates of data collection * Generate global and regional estimates for one year only (i.e., the most recent year). The JME working group has been constrained in its ability to generate reliable wasting timeseries rend estimates at the country, regional or global levels. To support generation of trend estimates, the JME working group would benefit from availability of: * A seasonal/climate metadata database which maps dates to specific agricultural seasons/climate patterns (e.g., pre-harvest and post-harvest seasons / rainy and dry season, "hunger" season) by country and which also contains metadata related to significant periodic climatic events like hurricanes. * Tagging of existing household surveys to seasonal/climate information relevant to wasting. * Estimates regarding the influence different seasons/climate patterns and significant periodic climatic events have on wasting prevalence in different contexts (e.g., by country) and which can be used to inform generation of trend estimates and also to advise on optimal timing of future surveys

### Lot Information

Lot 1

Other related modelling exercises are also underway with UNICEF and other partners to help better estimation of wasting burden to support programming. The key objective of this project would be to collate and develop methods at a global scale that can be used for SDG monitoring, while maintaining links and creating synergies with other relevant projects as appropriate. The project could also include a special case study for the Sahel region as well as a few key focus countries to delve into deeper discussions. Challenge Sponsor(s)UNICEF Desired Outcome 1. A seasonal/climate metadata database which maps dates to specific agricultural seasons/climate patterns (e.g., pre-harvest and post-harvest seasons / rainy and dry season, "hunger" season,) by country 2. Existing household surveys tagged to seasonal/climate information relevant to wasting. 3. Analyses to explore and assess the influence of the seasonal/climate metadata on the wasting estimates in the JME database and other available surveys, and proposed adjustments which could be applied to generate trends across survey years by country. 4. Annual timeseries country wasting estimates, adjusted to reflect the impact of seasons/climate 5. Guidance on how to update and use the seasonal/climate metadata database for optimal planning of survey timings.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Public Contracts Scotland |
| Latest notice | https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=FEB441395 |
| Notice type | PCS Notice - Website Contract Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Open |
| Procurement method details | Open procedure |
| Tender suitability | Not specified |
| Awardee scale | Not specified |
| All stages | Tender |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 22 Feb 2022 |
| Submission deadline | 4 Mar 2022 |
| Future notice date | Not specified |
| Award date | Not specified |
| Contract period | Not specified |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £138,000 |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Active |
| Lots status | Active |
| Awards status | Not specified |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | UNIVERSITY OF EDINBURGH |
| Locality | EDINBURGH |
| Post town | Edinburgh |
| Postcode | EH1 1HT |
| Country | Scotland |
| ITL 1 | TLM Scotland |
| ITL 2 | TLM1 East Central Scotland |
| ITL 3 | TLM13 City of Edinburgh |
| Local authority | City of Edinburgh |
| Electoral ward | City Centre |
| Westminster constituency | Edinburgh East and Musselburgh |
| Delivery location | TLM75 City of Edinburgh |

## CPV Codes

### Divisions

- 73 - Research and development services and related consultancy services

### Codes

- 73110000 - Research services

## Release History

- 22 Feb 2022 at 00:00 - Tender - PCS Notice - Website Contract Notice - https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=FEB441395

## Documents

- https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=FEB441395
  How can we produce a time series of childhood wasting estimates, accounting for climate impacts? - Child wasting is a key Sustainable Development Goal target and indicator (SDG 2.2b). Even before the COVID-19 pandemic 47 million children were already wasted (a life- threatening form of malnutrition) in 2019. However, in specific countries, survey results on wasting have a variance of 10-20%, meaning that trends arising from these surveys are difficult to interpret. Several factors impact the consistency of these survey results, one of which is climate and seasonality. UNICEF, as part of the Joint Malnutrition Estimates (JME) working group and official co- custodian of SDG indicators 2.2 including on child wasting, currently uses data from MICS, DHS and other surveys with nutrition components to: * Create a dataset of country wasting estimates that are tagged with dates of data collection * Generate global and regional estimates for one year only (i.e., the most recent year). The JME working group has been constrained in its ability to generate reliable wasting timeseries rend estimates at the country, regional or global levels. To support generation of trend estimates, the JME working group would benefit from availability of: * A seasonal/climate metadata database which maps dates to specific agricultural seasons/climate patterns (e.g., pre-harvest and post-harvest seasons / rainy and dry season, "hunger" season) by country and which also contains metadata related to significant periodic climatic events like hurricanes. * Tagging of existing household surveys to seasonal/climate information relevant to wasting. * Estimates regarding the influence different seasons/climate patterns and significant periodic climatic events have on wasting prevalence in different contexts (e.g., by country) and which can be used to inform generation of trend estimates and also to advise on optimal timing of future surveys

## Notice URLs

- http://www.ed.ac.uk/schools-departments/procurement/supplying
- https://api.publiccontractsscotland.gov.uk/v1/Notice?id=ocds-r6ebe6-0000684235
- https://www.dataforchildrencollaborative.com/challenge-questions
- https://www.dataforchildrencollaborative.com/challenge-questionsNOTE:ToregisteryourinterestinthisnoticeandobtainanyadditionalinformationpleasevisitthePublicContractsScotlandWebSiteathttps://www.publiccontractsscotland.gov.uk/Search/Search_Switch.aspx?ID=684235.(SCRef:684235)
- https://www.publiccontractsscotland.gov.uk/Search/Search_Switch.aspx?ID=684235
- https://www.publictendersscotland.publiccontractsscotland.gov.uk

## Provenance

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