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Effectiveness of Early Warning Systems in Enhancing Food Security in Pokot Central Sub County, West Pokot County, Kenya
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Pokot Central Sub County in West Pokot County, Kenya, is the most drought-stricken and food-insecure region as of 2022. The region faces severe threats to agriculture and food accessibility, exacerbated by delayed, reactive drought response strategies and limited resources. This study evaluated the effectiveness of early warning systems in enhancing food security during drought periods. The study used vulnerability and resilience and complex adaptive systems theories to explore these interrelationships. A mixed-method approach with a convergent parallel design was adopted, targeting 22,041 households in Pokot Central. A sample of 396 households was selected through stratified random sampling and 20 key informants were chosen using purposive sampling. Descriptive analysis outlined drought preparedness and food security, while thematic and content analysis were used for qualitative data. Regression and correlation analysis determined relationships between early warning systems and food security. Key findings revealed a positive association between early warning awareness and food security (r=0.155, p=0.000). Recommendations include enhancing drought risk management and improving early warning dissemination. An integrated approach involving government agencies, NGOs and local communities is crucial for effective drought response.
Title: Effectiveness of Early Warning Systems in Enhancing Food Security in Pokot Central Sub County, West Pokot County, Kenya
Description:
Pokot Central Sub County in West Pokot County, Kenya, is the most drought-stricken and food-insecure region as of 2022.
The region faces severe threats to agriculture and food accessibility, exacerbated by delayed, reactive drought response strategies and limited resources.
This study evaluated the effectiveness of early warning systems in enhancing food security during drought periods.
The study used vulnerability and resilience and complex adaptive systems theories to explore these interrelationships.
A mixed-method approach with a convergent parallel design was adopted, targeting 22,041 households in Pokot Central.
A sample of 396 households was selected through stratified random sampling and 20 key informants were chosen using purposive sampling.
Descriptive analysis outlined drought preparedness and food security, while thematic and content analysis were used for qualitative data.
Regression and correlation analysis determined relationships between early warning systems and food security.
Key findings revealed a positive association between early warning awareness and food security (r=0.
155, p=0.
000).
Recommendations include enhancing drought risk management and improving early warning dissemination.
An integrated approach involving government agencies, NGOs and local communities is crucial for effective drought response.
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