Travel-associated carbon emissions of patients receiving cancer treatment from an urban safety net hospital

Travel to receive cancer care is associated with significant carbon emissions and poses a climate and public health risk. Efforts to decrease the overall carbon footprint of cancer treatment are needed to minimise the contributions of cancer treatment to climate change.

Authors

Institutions

Publication Details

Journal
Future Healthcare Journal
Published
2024-09-03
DOI
https://doi.org/10.1016/j.fhj.2024.100174
Citations
9
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
2.83
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Travel-associated carbon emissions of patients receiving cancer treatment from an urban safety net hospital

Abhishek Kumar, Hasiya Yusuf, Rajvi Gor, Roha Memon Saheed et al.
9 citations
Future Healthcare Journal
Air Quality and Health Impacts
2.83
article

Travel-associated carbon emissions of patients receiving cancer treatment from an urban safety net hospital

Abhishek Kumar, Hasiya Yusuf, Rajvi Gor, Roha Memon Saheed, Charan Vegiventi
article en
9 citations

Abstract

Travel to receive cancer care is associated with significant carbon emissions and poses a climate and public health risk. Efforts to decrease the overall carbon footprint of cancer treatment are needed to minimise the contributions of cancer treatment to climate change.

Future Healthcare JournalVol. 11(4)
Albert Einstein College of Medicine (US), Jacobi Medical Center (US)
Openalex Percentile: Top 10%
Air Quality and Health Impacts
2.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.