From Prevalence to Vulnerability Implications of Climate Change on - - PowerPoint PPT Presentation

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From Prevalence to Vulnerability Implications of Climate Change on - - PowerPoint PPT Presentation

From Prevalence to Vulnerability Implications of Climate Change on Health Policy in India Nitish Dogra, MD, MPH Fulbright-Nehru Environmental Leadership Program Fellow (2013-14) Associate Professor International Institute of Health Management


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From Prevalence to Vulnerability Implications of Climate Change on Health Policy in India

Nitish Dogra, MD, MPH Fulbright-Nehru Environmental Leadership Program Fellow (2013-14) Associate Professor International Institute of Health Management Research, India

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 Vulnerability Indices  Case Studies at District Level  Implications for the Real World

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Source: IPCC

Vulnerability ∫Exposure, Sensitivity and Adaptive Capacity

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Climate Drivers Exposure Pathways Health Impacts Health Outcomes/Burden Reduced Adaptive Capacity Increased exposure Increased sensitivity

Poor access to care and preventive services

Elements of Vulnerability

Source: Courtesy Dr. John Balbus, NIH

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\

Source: Saravask, based on work by Planemad and Nichalp

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Guidance document on V&A Workplan Presentation: 2010 PAHO/WHO Global

Workshop in Costa Rica

WHO SEARO supported and guided project First of it’s kind exercise in South-East Asia Climate-proofing of interventions

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To assess the baseline vulnerability for climate- sensitive diseases at the local level in India To construct a pilot tool for assessment of health vulnerability to climate change at the sub-national level in India (SEPARATE STUDY)

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Exposure

  • Annual rainy days (17%)
  • Summer mean max.

temp.(17%)\

  • Forest area (17%)
  • Water logging (25%)
  • Flood risk zone (25%)

Sensitivity

  • Population density (25%)
  • Low income group (25%)
  • Baseline cases of malaria

(25%)

  • Plasmodium falciparum

(25%)

Adaptive Capacity

  • Health provider/unit

population (12.5%)

  • Health facility access

(12.5%)

  • HR efficiency (25%)
  • Past risk (50%)
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Source: IIHMR, 2013

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TWO ADJACENT DISTRICTS NEAR GURGAON (MEWAT AND REWARI IN NORTH INDIA)

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Same climate zone (semi-arid) Sensitivity differs radically (women, children, poor) Barriers to adaptation are also markedly at variance Hence best place to study how climate change impacts health

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Time-series analysis Household survey GIS

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Key informant interviews Focus group discussions (FGDs) Exit interviews Questionnaires for physicians knowledge Health facility inventory Prioritization exercise for adaptation options

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Time-series analysis

MEWAT: 1o rise in temp= 3.2% rise in diarrhoea REWARI: 1o rise in temp= 4.3% rise in diarrhoea

Household survey

Community based study with contrasting findings

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Key informant interviews Focus group discussions (FGDs)

  • Both the above constitute additional evidence

bringing out health access issues.

  • Provide a clue to the apparently contradictory

findings of the time-series analysis.

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Prospective time-series studies required. Detailed household surveys may not be feasible. GIS methods need to be evolved. Qualitiative methods apart from FGD and KII. Mixed methods with community studies essential.

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Prospective time-series studies required. Detailed household surveys may not be feasible. GIS methods need to be evolved. Qualitiative methods apart from FGD and KII. Mixed methods with community studies essential.

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Key informant interviews Focus group discussions (FGDs)

  • Both the above constitute additional evidence

bringing out health access issues.

  • Provide a clue to the apparently contradictory

findings of the time-series analysis.

Source: all-free-download.com/free-photos/download/earth_dry_dehydrated_223112.html

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Health data from district will not coincide with historical station data

13-05-2017 18

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Collect data at CHC level

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Besides government health facility

Private practitioners

Indigenous system

RMPs (quacks)

Treatment at home

13-05-2017 20

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➢ Community based prospective cohort

studies at each of India’s climate zones

Best to use existing sites like Vadu in Pune

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Source: http://www.abc.net.au/reslib/200707/r157677_571889.jpg