Cash, Food or Vouchers in Urban and Rural Kenya? An Application of the Market Information and Food Insecurity Response Analysis Framework

2011 ◽  
Author(s):  
Hope C. Michelson ◽  
Erin Lentz ◽  
Rich Mulwa ◽  
Mitchell Morey ◽  
Laura Cramer ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Response Analysis ◽  
Market Information ◽  
Analysis Framework ◽  
Rural Kenya

Cash, food, or vouchers? An application of the Market Information and Food Insecurity Response Analysis Framework in urban and rural Kenya

Food Security ◽  
2012 ◽  
Vol 4 (3) ◽  
pp. 455-469 ◽  
Author(s):  
Hope Michelson ◽  
Erin C. Lentz ◽  
Richard Mulwa ◽  
Mitchell Morey ◽  
Laura Cramer ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Response Analysis ◽  
Market Information ◽  
Analysis Framework ◽  
Rural Kenya

scholarly journals Market information and food insecurity response analysis

Food Security ◽  
2009 ◽  
Vol 1 (2) ◽  
pp. 151-168 ◽  
Author(s):  
Christopher B. Barrett ◽  
Robert Bell ◽  
Erin C. Lentz ◽  
Daniel G. Maxwell
Keyword(s):  
Food Insecurity ◽  
Response Analysis ◽  
Market Information

Food Insecurity and Intimate Partner Violence Among HIV-Positive Individuals in Rural Kenya

2020 ◽  
Author(s):  
Abigail M. Hatcher ◽  
Sheri D. Weiser ◽  
Craig R. Cohen ◽  
Jill Hagey ◽  
Elly Weke ◽  
...  
Keyword(s):  
Intimate Partner Violence ◽  
Food Insecurity ◽  
Partner Violence ◽  
Intimate Partner ◽  
Hiv Positive ◽  
Rural Kenya

Request and Response Analysis Framework for Mitigating Clickjacking Attacks

2015 ◽  
Vol 6 (3) ◽  
pp. 1-25 ◽  
Author(s):  
Hossain Shahriar ◽  
Hisham Haddad ◽  
Vamshee Krishna Devendran
Keyword(s):  
False Positive ◽  
Web Application ◽  
False Negative ◽  
Visual Features ◽  
Response Analysis ◽  
Analysis Framework ◽  
Security Issue ◽  
Web Application Security ◽  
Application Security ◽  
Object Based

This paper addresses the detection of clickjacking attacks, which is an emerging web application security issue. The authors propose a web application request and response page analysis framework to detect clickjacking attacks. Their framework considers not only inspects visual features related to frame, JavaScript code pattern in details to match with known attack signatures. The proposed approach is able to detect advanced clickjacking attacks such as cursorjacking, double click, and history object-based attacks. The authors evaluate the proposed approach with a set of legitimate and malicious websites. The results indicate that their approach has low false positive and false negative rates. The overhead imposed by the proposed approach is negligible.

scholarly journals Dietary patterns, food and macronutrient intakes among adults in three ethnic groups in rural Kenya

2011 ◽  
Vol 14 (9) ◽  
pp. 1671-1679 ◽  
Author(s):  
Andreas W Hansen ◽  
Dirk L Christensen ◽  
Melanie W Larsson ◽  
Jeannette Eis ◽  
Tue Christensen ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Ethnic Groups ◽  
Dietary Patterns ◽  
Cross Sectional Study ◽  
Food Groups ◽  
Sectional Study ◽  
Cross Sectional ◽  
Present Cross Sectional Study ◽  
High Prevalence ◽  
Rural Kenya

AbstractObjectiveTo compare dietary patterns and food and macronutrient intakes among adults in three ethnic groups in rural Kenya.DesignIn the present cross-sectional study, dietary intake was estimated in adult volunteers using two non-consecutive interactive 24 h recalls. Dietary patterns were assessed from the number of meals and snacks per day and from the food items and major food groups registered, and their contribution to energy intake (EI) was calculated. Anthropometric values were measured and sociodemographic data obtained using a questionnaire.SettingA cross-sectional study was conducted in the Bondo, Kitui and Transmara districts of rural Kenya. A high prevalence of food insecurity in Kenya underlines the importance of describing the dietary patterns and intakes in different Kenyan ethnic groups.SubjectsA total of 1163 (61 % women) adult Luo, Kamba and Maasai, with a mean age of 38·6 (range: 18–68) years, volunteered to participate.ResultsDietary patterns and food groups contributing to EI differed significantly among the ethnic groups. Mean EI ranged from 5·8 to 8·6 MJ/d among women and from 7·2 to 10·5 MJ/d among men, with carbohydrates contributing between 55·7 % and 74·2 % and fat contributing between 14·5 % and 30·2 % of total EI. Mean protein intake ranged from 0·72 to 1·3 g/kg per d, and EI:BMR ratio ranged between 1·1 and 1·6 in both sexes, and was highest among the Luo. Prevalence of underweight (BMI < 18·5 kg/m2) was 13·7 %, 20·5 % and 24·2 % in the Luo, Kamba and Maasai, respectively.ConclusionsThe degree of food insecurity measured as a degree of undernutrition and as dietary patterns differed considerably among the ethnic groups. The Maasai and Kamba in particular were exposed to food insecurity.

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