Evidence map›Paper›PMID 22223952›Full record

ArticleIndian journal of occupational and environmental medicine2011

Adaptation cost of diarrhea and malaria in 2030 for India.

Sandhya K Ramakrishnan

Open access · greenAbstract read
In one paragraph

Article in Indian journal of occupational and environmental medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 41% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Sandhya K RamakrishnanCentre for Health Policy and Management, Tata Institute of Social Sciences, Deonar, Mumbai, India.
Tata Institute of Social Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClimate change is significant and an emerging threat to public health. The climate change-related health consequences of diarrheal diseases and malaria are projected to pose the largest risks to future populations. This study provides an initial estimate of the cost of intervention to cope with the health impacts of climate change in 2030 on diarrhea and malaria for India. MATERIALS AND

methodsThe costs of treating diarrheal diseases and malaria in 2030 were estimated under three climate scenarios using: (1) the current numbers of cases; (2) the projected relative risks of these diseases in 2030; and (3) current treatment costs. The analysis assumed that the number of annual cases and costs of treatment would remain constant. There was limited consideration for population growth and socioeconomic development.

resultsUnderscenario assuming emissions reduction resulting in stabilization at 750 ppm CO(2) equivalent in 2210, the costs of treating diarrheal diseases and malaria were estimated to be between Rs. 3648 lakhs and Rs. 7787 lakhs. The Mitigation scenario results in fewer cases and lower investment needs than the BAU scenario. For the middle scenario, the annual needs are about Rs. 1036 lakhs per year, lower from Rs. 4684 lakhs down to Rs. 3648 lakhs. Should the high scenario occur, the annual investment needs are about Rs. 3901 lakhs lower from the BAU to the Mitigation scenario.

conclusionThe adaptation and mitigation can reduce sensitivity to climate change. The case for making public expenditures is strong on economic and moral grounds because the costs without interventions are much higher if we consider the relative risk of these diseases.

Indexed as

Adaptation costclimate changediarrheamalariamitigation

Identifiers

PMID22223952
PMCPMC3249792
OpenAlexW2031594761

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.