2016
DOI: 10.1016/j.ijdrr.2016.08.024
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Gender-sensitive public health risks and vulnerabilities’ assessment with reference to floods in Pakistan

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Cited by 36 publications
(17 citation statements)
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“…The sample size was determined by the following formula, developed by Yamane [41]. This formula has been popularly used by researchers (see References [42][43][44][45][46][47]) for determining household sample size for livelihood research:…”
Section: Data Collectionmentioning
confidence: 99%
“…The sample size was determined by the following formula, developed by Yamane [41]. This formula has been popularly used by researchers (see References [42][43][44][45][46][47]) for determining household sample size for livelihood research:…”
Section: Data Collectionmentioning
confidence: 99%
“…In many instances, health and nutrition responders lacked the knowledge, or were not willing to follow established IFE protocols, all issues which undermined any support for appropriate infant feeding practices [ 18 , 24 , 26 , 27 , 30 , 32 , 33 , 36 , 42 – 44 ]. The high pre-crisis mixed-feeding (feeding of breastmilk and any other foods or liquids) rate of many affected populations and their preference for infant formula contributed to the difficulty of protecting, promoting and supporting breastfeeding as the safest and healthiest method of feeding infants [ 23 , 25 , 26 , 30 , 32 , 35 , 36 , 44 , 46 , 47 ]. Another major challenge involved breastfeeding misconceptions among mothers and families which often led to their decision not to pursue breastfeeding [ 25 , 26 , 32 , 35 , 36 , 44 , 47 ].…”
Section: Resultsmentioning
confidence: 99%
“…Despite these limitations, scholars have developed indices to quantify social vulnerability based on their interests. Some researchers use the percentage of women, racial groups or age average as indexes to estimate different levels of social vulnerability (Harvey et al, 2016;Jonkman et al, 2009;Sadia et al, 2016). Other scholars use variables linked with social vulnerability as independent variables in regression models (Działek et al, 2016); variables are simply ranked from lowest to 10 highest values (Flanagan et al, 2011) or using the weighted average to estimate social vulnerability (Adger and Vincent, 2005).…”
Section: Social Vulnerability and Natural Disastersmentioning
confidence: 99%