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Early alert and community involvement: approach for disaster risk reduction in Rwanda

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Listed:
  • Lamek Nahayo

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    University of Lay Adventists of Kigali (UNILAK))

  • Christophe Mupenzi

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    University of Lay Adventists of Kigali (UNILAK))

  • Alphonse Kayiranga

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    University of Lay Adventists of Kigali (UNILAK))

  • Fidele Karamage

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    University of Lay Adventists of Kigali (UNILAK))

  • Felix Ndayisaba

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    University of Lay Adventists of Kigali (UNILAK))

  • Enan Muhire Nyesheja

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    University of Lay Adventists of Kigali (UNILAK))

  • Lanhai Li

    (Chinese Academy of Sciences)

Abstract

Natural disasters’ socioeconomic and environmental losses are predicted to rise, unless early warning, full stakeholders and community involvement in the mitigation, adaptation and risk reduction are squarely engaged. The objective of this study is to assess the impact of early alert and community involvement in disaster risk reduction in Nyabihu District, Western Rwanda. A quota sampling method was employed to obtain a sample of 240 households from 12 sectors of Nyabihu District in 2015. A structured questionnaire was used, and the field data collected were computed by using SPSS16.0 for Windows. The results indicated that, as stated by respondents, the frequently experienced disasters are floods (51.25%) and landslides (42.08%). However, as asserted by 68% of informants, disaster-related information is communicated through radio channels after the occurrence, while 29% of them declared that disaster information is disseminated before occurrence, which implies the rising level of risk vulnerability and incidences to the community due to lack of early warning. A lower community participation in disaster risk preparedness and mitigation was noticed (6.2%) while 31.6% mentioned taking part in activities aimed at coping with the aftermath (adaptation). Moreover, disaster risk reduction government policies are preferentially implemented (42.9%) other than considering the community’s knowledge (14.1%). To halt the gradual increase in disasters’ associated risks and losses, it is suggested to introduce disaster-related training across the community, introduce disaster courses from elementary schools and integrate the community in decision-making process.

Suggested Citation

  • Lamek Nahayo & Christophe Mupenzi & Alphonse Kayiranga & Fidele Karamage & Felix Ndayisaba & Enan Muhire Nyesheja & Lanhai Li, 2017. "Early alert and community involvement: approach for disaster risk reduction in Rwanda," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(2), pages 505-517, March.
    • Handle: RePEc:spr:nathaz:v:86:y:2017:i:2:d:10.1007_s11069-016-2702-5
    DOI: 10.1007/s11069-016-2702-5
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    Cited by:

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    2. Anathalie Nyirarwasa & Fang Han & Zhaoping Yang & Philbert Mperejekumana & Edovia Dufatanye Umwali & Jean Nepo Nsengiyumva & Sharifjon Habibulloev, 2024. "Evaluating the Impact of Environmental Performance and Socioeconomic and Demographic Factors on Land Use and Land Cover Changes in Kibira National Park, Burundi," Sustainability, MDPI, vol. 16(2), pages 1-24, January.
    3. Esther Roca-Campos & Sara Carbonell-Sevilla & Josep M. Canal-Barbany & Mireia Barrachina-Sauri & Sandra Girbés-Peco & Elisenda Giner-Gota & Ramón Flecha, 2025. "Co-Creating Educational Action to Protect Children After DANA Floods in Spain," Sustainability, MDPI, vol. 17(4), pages 1-23, February.
    4. Shema Gatoni Innocent & Geoffrey Ochieng Otieno & Richard Wamalwa Wanzala, 2025. "Characterization and Determinants of Smallholder Dairy Farmers in Rwanda," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3), pages 2644-2653, March.
    5. Jean Baptiste Nsengiyumva & Geping Luo & Lamek Nahayo & Xiaotao Huang & Peng Cai, 2018. "Landslide Susceptibility Assessment Using Spatial Multi-Criteria Evaluation Model in Rwanda," IJERPH, MDPI, vol. 15(2), pages 1-23, January.
    6. Tian-Tian Zhu & Yue-Jun Zhang, 2017. "An investigation of disaster education in elementary and secondary schools: evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(3), pages 1009-1029, December.
    7. Martin Kuradusenge & Santhi Kumaran & Marco Zennaro, 2020. "Rainfall-Induced Landslide Prediction Using Machine Learning Models: The Case of Ngororero District, Rwanda," IJERPH, MDPI, vol. 17(11), pages 1-20, June.

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