| [1] |
.
[J]. South China Journal of Preventive Medicine, 2023, 49(9): 1209-1212.
|
| [2] |
HU Longjun, XIE Haixia, HUANG Xiaowei, WU Shuyin, QIAN Mingping, LIN Peipei, WEI Yan, ZENG Xuheng, CHANG Fengshui.
Daily life impact and its change of the COVID-19 on adult residents in some urban and rural areas in China in 2020-2021
[J]. South China Journal of Preventive Medicine, 2023, 49(8): 940-945.
|
| [3] |
MAI Jiemei, ZHONG Xiaoyan, XIAO Fengshan, CAI Xuelian, QIU Zhijian.
Depression level and its influencing factors among medical workers in a district of Guangzhou
[J]. South China Journal of Preventive Medicine, 2023, 49(8): 946-951.
|
| [4] |
.
[J]. South China Journal of Preventive Medicine, 2023, 49(8): 1000-1004.
|
| [5] |
.
[J]. South China Journal of Preventive Medicine, 2023, 49(8): 1045-1048.
|
| [6] |
.
[J]. South China Journal of Preventive Medicine, 2023, 49(7): 876-879.
|
| [7] |
.
[J]. South China Journal of Preventive Medicine, 2023, 49(7): 936-939.
|
| [8] |
.
[J]. South China Journal of Preventive Medicine, 2023, 49(6): 747-750.
|
| [9] |
ZHANG Yuan, LU Ting, YOU Yong.
Characteristics of patients attending the emergency department in the new phase and dynamic clearance phase of the COVID-19 epidemic prevention and control
[J]. South China Journal of Preventive Medicine, 2023, 49(5): 656-659.
|
| [10] |
.
[J]. South China Journal of Preventive Medicine, 2023, 49(4): 459-462.
|
| [11] |
.
[J]. South China Journal of Preventive Medicine, 2022, 48(12): 1552-1555.
|
| [12] |
XU Yang-ting.
Temporal variation characteristics and trend analysis of scarlet fever in Nanjing, 1951-2020
[J]. South China Journal of Preventive Medicine, 2022, 48(7): 782-785.
|
| [13] |
.
[J]. South China Journal of Preventive Medicine, 2022, 48(5): 602-604.
|
| [14] |
.
[J]. South China Journal of Preventive Medicine, 2022, 48(4): 473-476.
|
| [15] |
.
[J]. South China Journal of Preventive Medicine, 2022, 48(2): 195-198.
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