BMJ open · 2025
Spatial-temporal analysis of natural hazards and disasters in the Greater Horn of Africa between 2010 and 2024 to inform disaster risk reduction, and surveillance and control strategies for climate and environmentally sensitive diseases.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Norris Luke E, Lemin Morgan, Kelly-Hope Louise A
Аннотация
OBJECTIVE: To determine the spatial-temporal patterns of natural hazards and disasters in the Greater Horn of Africa, including climate and environmentally sensitive diseases, and compare the reporting consistencies across multiple open-access databases.
DESIGN: Cross-sectional retrospective secondary analysis of natural hazard and disaster data.
SETTING: Djibouti, Eritrea, Ethiopia, Kenya, Somalia, Sudan, South Sudan and Uganda.
DATA SOURCES: Primary data from Emergency Events Database (EM-DAT), and comparative data from ReliefWeb, WHO Disease Outbreak News (WHO-DON), FloodList and Global Unique Disaster Identifier Number (GLIDE).
RESULTS: EM-DAT reported 228 natural hazards and disasters affecting 145.7 million people; highest numbers reported in Uganda (n=48), Kenya (n=46), Somalia (n=38) and Ethiopia (n=35); 175 geophysical, hydrological, meteorological and climatological hazards reported, including 118 floods, 26 droughts, 11 storms and 17 landslides; 46 epidemics reported, primarily bacterial (eg, cholera) or viral (eg, yellow fever, measles) diseases, with 20% preceded by a flood, drought or landslide within the previous 3 months. Reporting consistency and content varied considerably across the five databases.
CONCLUSION: Natural hazards and disasters affect millions of people. There is an urgent need to improve database connectedness to facilitate better monitoring and mapping, which can inform disease forecasting and decision tools to develop preparedness and intervention strategies.
DESIGN: Cross-sectional retrospective secondary analysis of natural hazard and disaster data.
SETTING: Djibouti, Eritrea, Ethiopia, Kenya, Somalia, Sudan, South Sudan and Uganda.
DATA SOURCES: Primary data from Emergency Events Database (EM-DAT), and comparative data from ReliefWeb, WHO Disease Outbreak News (WHO-DON), FloodList and Global Unique Disaster Identifier Number (GLIDE).
RESULTS: EM-DAT reported 228 natural hazards and disasters affecting 145.7 million people; highest numbers reported in Uganda (n=48), Kenya (n=46), Somalia (n=38) and Ethiopia (n=35); 175 geophysical, hydrological, meteorological and climatological hazards reported, including 118 floods, 26 droughts, 11 storms and 17 landslides; 46 epidemics reported, primarily bacterial (eg, cholera) or viral (eg, yellow fever, measles) diseases, with 20% preceded by a flood, drought or landslide within the previous 3 months. Reporting consistency and content varied considerably across the five databases.
CONCLUSION: Natural hazards and disasters affect millions of people. There is an urgent need to improve database connectedness to facilitate better monitoring and mapping, which can inform disease forecasting and decision tools to develop preparedness and intervention strategies.