Objective To study the seasonal characteristics of cholera, Hepatitis A, bacillary dysentery, kidney syndrome hemorrhagic fever (HFRS), and epidemic encephalitis B and rabies in Nanchang from 1998 to 2007. Methods The seasonal characteristics and the peak morbidity time distribution were analyzed respectively by the Concentration degree analysis and the Circular distribution. Results In terms of seasonal characteristics, cholera was strictly and epidemic encephalitis B stronly distributed, while bacillary dysentery had some indicdtions and Hepatitis A and HFRS were not obvious. All the above diseases had their peaks: cholera on August 3, and epidemic encephalitis B on July 8.95% of credible time zones were from June 12 to August 24 and April 24 to September 21 respectively. Conclusions Hygienic publisizing and disease surveillance should be strengthened, especially during morbidity peak time.

Objective:Based on an investigation of an outbreak of COVID-19 in Nanchang, to understand the transmission process, analyze the infectivity of the cases in incubation period and asymptomatic carrier, and evaluate the transmission risks in different exposures.Methods:Case investigation was based on the traditional epidemiological survey, combined with analysis based on big data about population movement trajectories. Transmission chain was identified to indicate transmission relationship.Results:A total of 27 cases were found in this cluster epidemic, including 25 confirmed cases, 1 suspected case (index case) and 1 asymptomatic carrier. A total of 347 close contacts were found. The secondary attack rate was 7.2% (25/347). The infection rates in close contacts of the first, second, third and fourth generation cases were 52.6% (10/19), 6.1% (13/213), 2.3% (2/88) and 0.0% (0/27), respectively. Asymptomatic carrier caused household transmission. The infection rates in close contacts after having meals, sharing rooms/beds, having work contacts, having neighbor contacts, having same time medical services or sharing wards and sharing vehicles with the patients were 10.6%(17/160), 10.0%(20/201), 5.3%(5/94), 0.0%(0/30), 0.0%(0/18) and 0.0%(0/17), respectively.Conclusions:The infection source of this cluster epidemic was a suspected case from Wuhan. Analysis based on big data about population movement trajectories can help to search the cases and close contacts accurately. The proposed epidemic prevention and control measures based on this investigation were effective.