Assessment of cancer clusters in the Najaf, 2020 to 2023: A geographic analysis

Abstract

In order to identify cancer clusters in the Najaf, 2020-2023, this study employed kernel density estimation (KDE) and the SaTScan spatial scan statistic. The districts of Al Hirafieen, Al Radhawya, and Al Ghari have the lowest cancer densities along Najaf, according to KDE data. Al Muthanna, Al Saad, Al Ashtraky, Al Saha, Al-Suaraa, Alskaan, Al Furat, and AL Rahmaa have a significant increase in density, which peaks in these areas. To find geographical clusters and assess their statistical significance, we employed a spatial scan statistic. We identified three geographical clusters with increased cancer risks that were statistically significant for the 50% window size, which is the spatial scan statistic. The most likely cluster (C1) was found around Al Hannana, Al Hussein, Al Saad Al Saha, Abu Khaled, Al Ulamaa Al-Suaraa, Al Muthanna, Al Karama AL-Murahlen, Al Mualimeen, Al Atibbaa, Al Ghadeer, Alskaan, Adan, Al ashtraky, ALburaq, Al Jdeidat, Al Ghari, Alamara, AL Rahmaa, Al Naft, Al Furat, Alhuwesh, AlHawraa-Zainab, Old cars viewe and Al Shourta (LLR=37.30, p