COVID-19 Pandemi Sürecinde Veri ve Teknoloji
Özet
COVID-19 pandemisi, küresel ölçekte sosyal hayatı, eğitimi ve özellikle ekonomiyi derinden etkileyen kısıtlamalara yol açmıştır. Geçmişteki SARS, Zika ve Ebola salgınları gibi COVID-19 da büyük finansal kayıplara ve seyahat, konaklama, imalat gibi sektörlerde ciddi krizlere neden olmuştur. Bu tür küresel krizlerle mücadelede, semptomların coğrafi konumdan bağımsız olarak benzerlik göstermesi nedeniyle uluslararası iş birliği ve veri paylaşımı hayati önem taşımaktadır. Veri paylaşımındaki gecikmeler tıbbi çözümleri zorlaştırırken; şeffaf, zamanında ve kaliteli veri akışı mücadeleyi hızlandırmaktadır. Akıllı şehir teknolojileri, sensörler, giyilebilir cihazlar ve yapay zeka tabanlı sistemler, virüsün yayılımını gerçek zamanlı izleme, erken tanı ve risk yönetiminde önemli rol oynamaktadır. Nitekim gelişmiş teknolojik olanaklar sayesinde COVID-19'un tanımlanması yalnızca 17 gün sürmüştür. Ancak günümüzde, farklı üreticilerin cihazları arasındaki entegrasyon sorunları ve rekabet, toplanan büyük verilerin standardize ağlarda işlenmesini ve depolanmasını zorlaştırmaktadır. Karar vericilerin sınırlı teknoloji tedarikçilerine bağımlı kalmadan açık erişimli ve standardize küresel ağlar kurması, hem mevcut pandeminin yönetilmesinde hem de gelecekteki salgınların önlenmesinde somut ve etkin kararlar alınmasını sağlayacaktır.
The COVID-19 pandemic has led to restrictions deeply affecting social life, education, and especially the economy on a global scale, and just like past SARS, Zika, and Ebola outbreaks, it has caused great financial losses and severe crises in sectors such as travel, accommodation, and manufacturing. International cooperation and data sharing are of vital importance in combating such global crises because symptoms show similarities regardless of geographical location. While delays in data sharing complicate medical solutions, transparent, timely, and quality data flow accelerates the struggle. Smart city technologies, sensors, wearable devices, and artificial intelligence-based systems play a significant role in real-time tracking of the virus's spread, early diagnosis, and risk management; indeed, thanks to advanced technological possibilities, the identification of COVID-19 took only 17 days. However, nowadays, integration problems and competition among devices of different manufacturers make it difficult to process and store the collected big data in standardized networks. Establishing open-access and standardized global networks without decision-makers having to depend on limited technology providers will ensure that concrete and effective decisions are made both in managing the current pandemic and in preventing future outbreaks.
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