2018
DOI: 10.1016/j.ijdrr.2018.02.012
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Assessment of climate change vulnerability of farm households in Pyapon District, a delta region in Myanmar

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Cited by 52 publications
(57 citation statements)
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“…[1,2] Percentage of HHs in which family members have chronic illness Yes = 1, No = 0 Chronic illness increases vulnerability. [4,13] Percentage of HHs receiving treatment from a local doctor during illness Yes = 1, No = 0 Treatment from a local doctor increases vulnerability. [14,15,17] Percentage of HHs having a sanitary latrine Yes = 1, No = 0 Using sanitary latrine decreases vulnerability.…”
Section: Indicators Score/values Expected Relationship Justification mentioning
confidence: 99%
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“…[1,2] Percentage of HHs in which family members have chronic illness Yes = 1, No = 0 Chronic illness increases vulnerability. [4,13] Percentage of HHs receiving treatment from a local doctor during illness Yes = 1, No = 0 Treatment from a local doctor increases vulnerability. [14,15,17] Percentage of HHs having a sanitary latrine Yes = 1, No = 0 Using sanitary latrine decreases vulnerability.…”
Section: Indicators Score/values Expected Relationship Justification mentioning
confidence: 99%
“…Yes = 1, No = 0 Facing increased winter period increases vulnerability. [4,13] Facing gradually increasing summer period from last 10 years. Yes = 1, No = 0 Facing increased summer period increases vulnerability.…”
Section: Climatic Variabilitymentioning
confidence: 99%
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“…Assessing climate change vulnerability is a widely complex challenge and has become a multidisciplinary task since it affects several areas of activities and resources [19][20][21]. There have been several recent studies that aimed to assess the effects of climate change on coastal cities by using different approaches [22][23][24][25][26].…”
Section: Methodsmentioning
confidence: 99%