Factors potentially associated with a large anthrax outbreak occurrence by univariate and multivariate logistic regression: Cases (large > 51 ≥ small) vs . factors.

• Main Authors: Tuvshinzaya Zorigt (10779482), Satoshi Ito (12555), Norikazu Isoda (431846), Yoshikazu Furuta (210102), Misheck Shawa (10779473), Natsagdorj Norov (11731157), Baasansuren Lkham (11731160), Jargalsaikhan Enkhtuya (11547414), Hideaki Higashi (387365)
• Format: Dataset
• Language: unknown
• Published: 2021
• Subjects: Biotechnology; Ecology; Science Policy; Infectious Diseases; Environmental Sciences not elsewhere classified; Biological Sciences not elsewhere classified; worldwide zoonotic disease; lying areas around; e .; murun; analyze retrospective data; 1986 &# 8211; xlink "> anthrax; carcass sites distributed; carcass burial sites; uul ); suggesting; describe historical spatio; year study period; anthrax spatial distribution; future anthrax outbreaks; mongolia </ p; carcass sites; study period; disposal sites; spatial mean; spatial information; anthrax occurrences; study disclosed; study area; temporal patterns; risk factors; public health; potential hazard; permafrost freeze; northern part; north regions; new hotspot; localized source; livestock anthrax; last decade; khuvsgul province; economic issue; permafrost
• Online Access: https://doi.org/10.1371/journal.pone.0260299.t003

Factors potentially associated with a large anthrax outbreak occurrence by univariate and multivariate logistic regression: Cases (large > 51 ≥ small) vs . factors.