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绘制埃塞俄比亚提格雷北部、北沃洛和阿法尔(阿法尔)地区主要人畜共患病的流行病学分布和发病率。

Mapping the epidemiological distribution and incidence of major zoonotic diseases in South Tigray, North Wollo and Ab'ala (Afar), Ethiopia.

机构信息

College of Veterinary Medicine, Mekelle University, Mekelle, Ethiopia.

Institute of Climate and Society, Mekelle University, Mekelle, Ethiopia.

出版信息

PLoS One. 2018 Dec 31;13(12):e0209974. doi: 10.1371/journal.pone.0209974. eCollection 2018.

Abstract

Zoonotic diseases continue to affect the health and livelihood of resource limited communities. In Ethiopia, despite the presence of a national master plan for prevention, control and elimination of some common zoonotic diseases, well-organized epidemiological data regarding incidence and distribution are lacking. A retrospective cross-sectional study based on a patient medical data recorded from 2012-2016 in selected districts of Southern Tigray, North Wollo zone of Amhara region and Ab'Ala district of Afar region was conducted to map the distribution and Incidence proportion of major zoonotic diseases. The incidence proportion of four major zoonotic diseases (helminthiasis, tuberculosis (TB), rabies and schistosomiasis) was mapped using qGIS software based on the Health Management Information System (HMIS) data collected from district health facilities. The result indicated that, out of a total 1,273,145 observed human disease cases, 53,614 (4.2%) of them were potential zoonotic diseases that include: helminthiasis (51,192), TB (2,085), rabies (227), schistosomiasis (105) and visceral leishmaniasis (7). The highest incidence proportion of TB (262.8 cases per 100,000 population) and rabies (33.2 cases per 100,000 population) were recorded in Gubalafto and Weldya followed by Raya Alamata (253.4 cases per 100,000 population %), and Ab'Ala and Raya Azebo (29 cases each per 100,000 population) for TB and rabies, respectively. The highest incidence proportion for schistosomiasis was reported in Raya Alamata (50.1 cases per 100,000 population) followed by Gubalafto and Weldya (10.8 cases per 100,000 population). The incidence proportion of visceral leishmaniasis per 100,000 population was 4.1, 1.3 and 1.2 cases for Ab'Ala, Gubalafto and Weldiya, and Raya Azebo districts, respectively. Except rabies, which showed high incidence proportion (p<0.0001) in 5-14 age groups, the other zoonotic diseases showed higher incidence proportion (p<0.0001) in age groups above 15 years. Rabies, helminthiasis and schistosomiasis showed statistically significant variation (p<0.0001) among seasons. Rabies and TB showed decreasing trend within the data recorded years. In animals, only 31 rabies cases and 15 anthrax cases were recorded from 2012 to 2016. This finding highlighted the distribution and incidence of some major zoonotic diseases in the study areas. Systematic and detailed research should be conducted in the future to map the distribution of major zoonotic diseases at regional and country level so as to initiate integrated effort from human and animal health authorities and professionals.

摘要

人畜共患病继续影响资源有限社区的健康和生计。在埃塞俄比亚,尽管有国家预防、控制和消除一些常见人畜共患病的总体计划,但缺乏关于发病率和分布的组织良好的流行病学数据。本研究采用 2012-2016 年在阿姆哈拉地区北沃洛州南提格雷、北沃洛州和阿法尔地区阿巴莱区选定地区的患者医疗数据记录进行了回顾性横断面研究,以绘制主要人畜共患病的分布和发病率比例图。使用基于从地区卫生设施收集的健康管理信息系统 (HMIS) 数据的 qGIS 软件,绘制了四种主要人畜共患病(寄生虫病、结核病 (TB)、狂犬病和血吸虫病)的发病率比例图。结果表明,在观察到的 1273145 例人类疾病病例中,有 53614 例(4.2%)为潜在人畜共患病,包括寄生虫病(51192 例)、TB(2085 例)、狂犬病(227 例)、血吸虫病(105 例)和内脏利什曼病(7 例)。TB(每 10 万人 262.8 例)和狂犬病(每 10 万人 33.2 例)的发病率比例最高的是 Gubalafto 和 Weldya,其次是 Raya Alamata(每 10 万人 253.4 例)和 Ab'Ala 和 Raya Azebo(每 10 万人各 29 例),TB 和狂犬病。血吸虫病发病率比例最高的是 Raya Alamata(每 10 万人 50.1 例),其次是 Gubalafto 和 Weldya(每 10 万人 10.8 例)。内脏利什曼病每 10 万人的发病率分别为阿巴莱区 4.1 例、古拉法托和韦尔德亚区 1.3 例和 1.2 例,以及拉亚阿泽博区。除了狂犬病(在 5-14 岁年龄组中发病率比例较高(p<0.0001))外,其他人畜共患病在 15 岁以上年龄组中的发病率比例较高(p<0.0001)。狂犬病、寄生虫病和血吸虫病在季节之间存在统计学显著差异(p<0.0001)。狂犬病和结核病的发病率在记录的年份内呈下降趋势。在动物中,2012 年至 2016 年期间仅记录到 31 例狂犬病病例和 15 例炭疽病例。这一发现突出了研究地区一些主要人畜共患病的分布和发病率。未来应进行系统和详细的研究,以绘制区域和国家一级主要人畜共患病的分布情况,以便启动人类和动物卫生当局和专业人员的综合努力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdcd/6312287/023b5ebb2f98/pone.0209974.g001.jpg

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