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10.1186/s40249-020-00706-2

http://scihub22266oqcxt.onion/10.1186/s40249-020-00706-2
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32787916!7422473!32787916
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suck abstract from ncbi


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pmid32787916      Infect+Dis+Poverty 2020 ; 9 (1): 112
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  • Coronavirus disease 2019 epidemic in impoverished area: Liangshan Yi autonomous prefecture as an example #MMPMID32787916
  • Liao RJ; Ji-Ke CN; Zhang T; Liao Q; Li L; Zhu TY; Bian SY
  • Infect Dis Poverty 2020[Aug]; 9 (1): 112 PMID32787916show ga
  • BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) had spread worldwide. Although the world has intensively focused on the epidemic center during this period of time, it is imperative to emphasize that more attention should also be paid to some impoverished areas in China since they are more vulnerable to disease outbreak due to their weak health service capacities. Therefore, this study took Liangshan Yi Autonomous Prefecture as an example to analyze the COVID-19 epidemic in the impoverished area, evaluate the control effect and explore future control strategies. METHODS: In this study, we collected information including age, gender, nationality, occupation, and address of all COVID-19 cases reported from 25 January 2020 to 23 April 2020 in Liangshan Prefecture from the Nationwide Notifiable Infectious Diseases Reporting Information System (NIDRIS), which were used under license and not publicly available. Additionally, we retrieved other information of cases through epidemiological investigation reports reviewing. Data were analyzed using the software Excel 2010 and SPSS 17.0. The geographic distribution of cases was mapped using ArcGIS10.2. RESULTS: By 23 April 2020, a total of 13 COVID-19 cases and two asymptomatic SARS-CoV-2 carriers were reported in Liangshan, in three family clusters. Among the cases, eight cases had a history of sojourning in Hubei Province (61.54%), of which six were related to Wuhan. Cases aged under 44 years accounted for 61.54%, with no child case. The delay of patients' hospital visiting, and the low degree of cooperation in epidemiological investigation are problems. CONCLUSIONS: During the study period, Liangshan was well under control. This was mainly contributed to strict preventive strategies aimed at local culture, inter-sectoral coordination and highly degree of public cooperation. Besides, some possible environmentally and culturally preventive factors (e.g., rapid air flow and family concept) would affect disease prevention and control. In the next step, the health education about COVID-19 should be strengthened and carried out according to the special culture of ethnic minorities to enhance public awareness of timely medical treatment.
  • |*Poverty Areas[MESH]
  • |Adult[MESH]
  • |Age Distribution[MESH]
  • |Aged[MESH]
  • |COVID-19[MESH]
  • |Carrier State/epidemiology/transmission/virology[MESH]
  • |China/epidemiology[MESH]
  • |Cluster Analysis[MESH]
  • |Contact Tracing[MESH]
  • |Coronavirus Infections/*epidemiology/prevention & control/transmission[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics/prevention & control[MESH]
  • |Pneumonia, Viral/*epidemiology/prevention & control/transmission[MESH]
  • |Quarantine[MESH]
  • |Spatial Analysis[MESH]
  • |Time Factors[MESH]


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