10.17037/DATA.00005008
The overall aim of the study was to define a set of research priorities at the intersection of climate change, hygiene and health using a structured and consensus-driven process. This was performed in two stages - the Child Health and Nutrition Research Initiative (CHNRI) method was used to generate an initial set of pertinent research questions, and a survey of global stakeholders was subsequently performed to score them based upon priority. This collection contains the survey questionnaire and R code written to perform data analysis. Survey data itself is covered by a confidentiality requirement that prevents it being shared, however, the study team can answer questions that may arise.
Respondents were asked to score each question by the four priority criteria - relevancy, answerability, impact, and potential for translation. They indicated their assessment by selecting “Yes” (allocated 1 point), “Maybe” (0.5 points), “No” (0 points), or “Not my Area of Expertise” (excluded from the scoring). The survey was made available in Arabic, English, French, Portuguese, and Spanish, and was open between November 2024 and January 2025.
Global, web-based
Data collection: November 2024 - January 2025
Global experts on water, sanitation, hygiene and/or climate change
Data was collected via an anonymous online survey distributed through the Qualtrics platform.
| Organisation | Ethics ID | Other information |
| London School of Hygiene & Tropical Medicine | 30443 |
Research Agenda; Climate Change; Hygiene; Climate and Health; wellbeing; research
English
London School of Hygiene & Tropical Medicine
| Project name | Funder/sponsor | Grant number |
| Articulating a global research agenda on the effects of climate change hazards on hygiene-related health and wellbeing outcomes | Reckitt Global Hygiene Institute | ITDC0740 |
Survey data itself is covered by a confidentiality requirement that prevents it being shared, however, the study team can answer questions that may arise.
| Forename | Surname | Faculty / Dept | Institution | Role |
| Jessica | Gerard | Faculty of Public Health and Policy / Dept of Public Health, Environments and Society | London School of Hygiene & Tropical Medicine | Data Creator |
| Lauren | D’Mello-Guyett | Faculty of Infectious and Tropical Diseases / Dept of Disease Control | London School of Hygiene & Tropical Medicine | Data Creator |
| Forename | Surname | Faculty / Dept | Institution | Role |
| Robert | Dreibelbis | ITD/DCD | London School of Hygiene & Tropical Medicine | Author |
| Sari | Kovats | PHP/GHD | London School of Hygiene & Tropical Medicine | Author |
| Camille | Heylen | Consultant | External | Author |
| Filename | Description | Access status | Licence |
| Score_per_criteria1 | This R file is to be run first, as part of a duo of consecutive code used to perform analysis on survey responses. This code specifically calculates a score based on the number of answers per weight criteria | Open | Creative Commons Attribution (CCBY) |
| Score_per_question2 | This R file is run second, to produce the number of answers per research question and can be analysed by all questions or by specific demographic criteria | Open | Creative Commons Attribution (CCBY) |
| CCH_code_questions | Survey question numbers and associated questions – supports the survey results data | Open | Creative Commons Attribution (CCBY) |
| CCH_Manuscript_Question | Survey questions for the manuscript | Open | Creative Commons Attribution (CCBY) |