Safety 2026 guidance

ABSTRACT SUBMISSION GUIDANCE

• Submit your abstract (deadline: 13 Feb 2026) at this link

• Most of our case-control studies will not have results to show by that deadline. However, this is usually not a problem for conference abstracts.  Below, we provide a template (and an example) of how to write an abstract that doesn’t have results.

• Please remember to comply with the conference abstract word limit (300 words). 

• We recommend making the following choices during abstract submission

• Research-based Presentations (oral or poster):  Pick “Oral”.

• Track: Track 1 Epidemiology and Prevention

Abstract Template

TITLE: State the problem, and include the phrase “Case-Control Study” 

BACKGROUND:  Briefly state the public health problem, why it matters, and the key gap in existing evidence that your study addresses.

OBJECTIVE:  State the primary study objective(s), framed in terms of estimating associations between exposures and the outcome.

METHOD: Describe the study design and setting (case–control), case definition, control selection, data sources, and key exposures. Specify the planned analytic approach (e.g., multivariable logistic regression) and covariates. Note that analyses are ongoing if required.

RESULTS: Say something like: “Analyses are currently underway; results will be presented at the conference.”

CONCLUSION: Explain the anticipated contribution of the study (e.g., improved understanding of risk factors, implications for policy or intervention), without claiming findings.

Example Abstract

TITLE: Effect of Ambient Temperature on Fatal Traffic Crashes in India: A Case-Control Study

BACKGROUND: Recent evidence indicates that high ambient temperatures are associated with increased injury incidence, including traffic crashes, yet the mechanisms and contextual modifiers of this relationship remain poorly understood. As global temperatures rise, injuries are increasingly recognized as a major contributor to heat-related health impacts.

OBJECTIVE: To estimate the association between ambient temperature and fatal traffic crashes in India, and to assess whether this association varies by road user type, baseline climate, road type, and time of day.

METHOD: We will conduct a population-based case-crossover study using police First Information Reports (FIRS) covering all fatal traffic crashes occurring in six Indian states from 2017 to 2019. Cases are defined as the locations and times of fatal crashes. For each case, control observations will be defined as the same location and time two weeks prior to the crash. Ambient temperature exposure will be assigned using gridded spatial–temporal data from the Copernicus Climate Data Store (ERA5-Land) matched to the crash location and time. Conditional logistic regression will be used to estimate associations. Potential confounding by other factors (e.g., precipitation) will be addressed through adjustment, stratification, and sensitivity analyses.

RESULTS: Analyses are currently underway; results will be presented at the conference.

CONCLUSION: This study will provide evidence on the role of extreme heat in traffic fatalities in a low- and middle-income country setting and identify contexts and populations in which heat-related crash risks may be greatest, informing climate adaptation and road safety policy.