ReviewInternational journal of environmental research and public health2009
Valuing climate change impacts on human health: empirical evidence from the literature.
Review in International journal of environmental research and public health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Economic impacts associated with the health effects of climate change in South America: a scoping review.Lancet regional health. Americas · 2023Article
- Extreme Weather and Climate Change: Population Health and Health System Implications.Annual review of public health · 2021Review
- Article
- Assessment of the health impacts of climate change in Kiribati.International journal of environmental research and public health · 2014Article
- Comparison of UTCI with other thermal indices in the assessment of heat and cold effects on cardiovascular mortality in the Czech Republic.International journal of environmental research and public health · 2014Article
- The effect of precipitation on the transmission of Japanese encephalitis (JE) virus in nature: a complex effect on antibody-positive rate to JE virus in sentinel pigs.International journal of environmental research and public health · 2013Article
- Managing the health effects of temperature in response to climate change: challenges ahead.Environmental health perspectives · 2013Article
- The costs of climate change: a study of cholera in Tanzania.International journal of environmental research and public health · 2011Article
- The economics of health and climate change: key evidence for decision making.Globalization and health · 2011Article
- Adaptation cost of diarrhea and malaria in 2030 for India.Indian journal of occupational and environmental medicine · 2011Article
- Adaptation to impacts of climate change on aeroallergens and allergic respiratory diseases.International journal of environmental research and public health · 2010Review
- Sustainability: environmental studies and public health.International journal of environmental research and public health · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a broad consensus that climate change will increase the costs arising from diseases such as malaria and diarrhea and, furthermore, that the largest increases will be in developing countries. One of the problems is the lack of studies measuring these costs systematically and in detail. This paper critically reviews a number of studies about the costs of planned adaptation in the health context, and compares current health expenditures with MDGs which are felt to be inadequate when considering climate change impacts. The analysis serves also as a critical investigation of the methodologies used and aims at identifying research weaknesses and gaps.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.