
浏览全部资源
扫码关注微信
400038 重庆,陆军军医大学(第三军医大学)陆军卫勤训练基地军事医学地理学教研室
[ 罗勇军,E-mail:ajun-333333@163.com LUO Yongjun, E-mail:ajun-333333@163.com
收稿:2018-12-02,
修回:2019-01-10,
纸质出版:2019-04-15
移动端阅览
唐才智, 谭超, 陈郁, 等. 中非地区国家武装冲突与疟疾流行相关性的研究[J]. 第三军医大学学报, 2019,41(7):719-722, 封三.
Caizhi TANG, Chao TAN, Yu CHEN, et al. Correlation of armed conflicts and malaria epidemics in central Africa[J]. Journal of Third Military Medical University, 2019, 41(7): 719-722, 封三.
唐才智, 谭超, 陈郁, 等. 中非地区国家武装冲突与疟疾流行相关性的研究[J]. 第三军医大学学报, 2019,41(7):719-722, 封三. DOI: 10.16016/j.1000-5404.201812007.
Caizhi TANG, Chao TAN, Yu CHEN, et al. Correlation of armed conflicts and malaria epidemics in central Africa[J]. Journal of Third Military Medical University, 2019, 41(7): 719-722, 封三. DOI: 10.16016/j.1000-5404.201812007.
目的
2
研究中非地区国家武装冲突与疟疾流行的相关性。
方法
2
收集中非地区7个国家1997-2016年每年疟疾确诊人数、武装冲突次数和武装冲突死亡人数,运用地理信息系统绘制武装冲突地理情况。采用线性回归模型分析武装冲突与疟疾确诊人数之间的关系。
结果
2
地理信息系统分析结果显示刚果民主共和国是中非地区武装冲突最为频发的国家;Spearman等级相关分析显示:中非地区7个国家中,刚果民主共和国武装冲突次数与疟疾确诊人数呈正相关(
P
<
0.05)。线性回归分析结果显示刚果民主共和国年疟疾确诊人数与武装冲突年均次数线性相关。
结论
2
武装冲突次数与疟疾在刚果民主共和国的流行有明显的关联。
Objective
2
To study the correlation between armed conflicts and malaria epidemic in the countries of central Africa.
Methods
2
The number of confirmed malaria cases
time of armed conflicts and number of deaths in armed conflicts were collected form the 7 countries of central Africa from 1997 to 2016
and the geographical situation of armed conflicts was drawn using Geographic Information System (GIS). A linear regression model was used to analyze the relationship between armed conflicts and the number of malaria epidemics.
Results
2
GIS analysis showed that Democratic Republic of the Congo had the highest frequency of the armed conflicts. Spearman rank correlation analysis indicated that among the 7 countries in the central Africa
the number of armed conflicts in the Democratic Republic of the Congo was positively correlated with the number of confirmed malaria cases (
P
<
0.05). Linear regression analysis suggested that the number of confirmed malaria cases in the country was linearly related to the annual number of armed conflicts.
Conclusion
2
The number of armed conflicts is clearly associated with the prevalence of malaria in the Democratic Republic of the Congo.
LEANING J, GUHA-SAPIR D. Natural disasters, armed conflict, and public health[J]. N Engl J Med, 2014, 370(8): 783-784. DOI:10.1056/NEJMc1315507.
MURRAY C J, KING G, LOPEZ A D, et al. Armed conflict as a public health problem[J]. BMJ, 2002, 324(7333): 346-349.
KIRBY R S. Book review: war epidemics: an historical geography of infectious diseases in military conflict and civil strife, 1850-2000[J]. Public Health Rep, 2008, 123(3): 393-394. DOI:10.1177/003335490812300321.
贾尚春, 邹铮, 徐伏牛.全球气候变暖对疟疾传播的潜在影响[J].中国寄生虫病防治杂志, 2004, 17(1):63. DOI: 10.3969/j.issn.1673-5234.2004.01.020.
JIA S C, ZOU Z, XU F N. Potential impacts of global temperature raise on malaria transmission[J]. Chin J Paras Dis Control, 2004, 17(1): 63. DOI:10.3969/j.issn.1673-5234.2004.01.020.
CRAIG M H, SNOW R W, LE SUEUR D. A climate-based distribution model of malaria transmission in sub-Saharan Africa[J]. Parasitol Today (Regul Ed), 1999, 15(3): 105-111.
温亮, 林明和, 李承毅, 等.疟疾与气象因素关系不同模型预测效果比较[J].中国公共卫生, 2017, 33(6): 942-945. DOI:10.11847/zgggws2017-33-06-19.
WEN L, LIN M H, LI C Y, et al. Effectiveness of back propagation neural network model and stepwise regression in prediction of malaria incidence with meteorological factors[J]. Chin J Public Health, 2017, 33(6): 942-945. DOI:10.11847/zgggws2017-33-06-19.
RALEIGH C, LINKE A, HEGRE H, et al. Introducing ACLED: an armed conflict location and event dataset special data feature[J]. J Peace Res, 2010, 47 (5) :651-660. DOI: 10.1177/0022343310378914.
World Health Organization. World malaria report:2010[M]. Geneva: WHO Press, 2010:1-238.
World Health Organization. World malaria report:2011[M]. Geneva: WHO Press, WHO Press, 2011: 1-250.
World Health Organization.World malaria report:2012[M]. Geneva: WHO Press, WHO Press, 2012: 1-288.
World Health Organization. World malaria report:2013[M]. Geneva: WHO Press, WHO Press, 2013: 1-286.
World Health Organization.World malaria report:2014[M]. Geneva: WHO Press, WHO Press, 2014:1-242.
World Health Organization.World malaria report:2015[M]. Geneva: WHO Press, WHO Press, 2015: 1-244.
World Health Organization.World malaria report:2016[M]. Geneva: WHO Press, WHO Press, 2016: 1-150.
World Health Organization.World malaria report:2017[M]. Geneva: WHO Press, WHO Press, 2017: 1-162.
SNOW R W, AMRATIA P, KABARIA C W, et al. The changing limits and incidence of malaria in Africa: 1939-2009[J]. Adv Parasitol, 2012, 78: 169-262. DOI:10.1016/B978-0-12-394303-3.00010-4.
KOUKOUIKILA-KOUSSOUNDA F, NTOUMI F. Malaria epidemiological research in the Republic of Congo[J]. Malar J, 2016, 15(1): 598. DOI:10.1186/s12936-016-1617-7.
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621