Epidemiology of hemorrhagic fever with renal syndrome in Tai’an area
Abstract Hemorrhagic fever with renal syndrome (HFRS), a serious threat to human health, is mainly transmitted by rodents in Eurasia. The risk of disease differs according to sex, age, and occupation. Further, temperature and rainfall have some lagging effects on the occurrence of the disease. The q...
Guardado en:
Autores principales: | , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/b9cb7a91fb3f42f68ece4b298d2e0dfb |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:b9cb7a91fb3f42f68ece4b298d2e0dfb |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:b9cb7a91fb3f42f68ece4b298d2e0dfb2021-12-02T16:15:06ZEpidemiology of hemorrhagic fever with renal syndrome in Tai’an area10.1038/s41598-021-91029-12045-2322https://doaj.org/article/b9cb7a91fb3f42f68ece4b298d2e0dfb2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91029-1https://doaj.org/toc/2045-2322Abstract Hemorrhagic fever with renal syndrome (HFRS), a serious threat to human health, is mainly transmitted by rodents in Eurasia. The risk of disease differs according to sex, age, and occupation. Further, temperature and rainfall have some lagging effects on the occurrence of the disease. The quantitative data for these factors in the Tai’an region of China are still unknown. We used a forest map to calculate the risk of HFRS in different populations and used four different mathematical models to explain the relationship between time factors, meteorological factors, and the disease. The results showed that compared with the whole population, the relative risk in rural medical staff and farmers was 5.05 and 2.00, respectively (p < 0.05). Joinpoint models showed that the number of cases decreased by 33.32% per year from 2005 to 2008 (p < 0.05). The generalized additive model showed that air temperature was positively correlated with disease risk from January to June, and that relative humidity was negatively correlated with risk from July to December. From January to June, with an increase in temperature, after 15 lags, the cumulative risk of disease increased at low temperatures. From July to December, the cumulative risk decreased with an increase in the relative humidity. Rural medical staff, farmers, men, and middle-aged individuals were at a high risk of HFRS. Moreover, air temperature and relative humidity are important factors that affect disease occurrence. These associations show lagged and differing effects according to the season.XiuJuan BiShuying YiAihua ZhangZhenghua ZhaoYunqiang LiuChao ZhangZhen YeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q XiuJuan Bi Shuying Yi Aihua Zhang Zhenghua Zhao Yunqiang Liu Chao Zhang Zhen Ye Epidemiology of hemorrhagic fever with renal syndrome in Tai’an area |
description |
Abstract Hemorrhagic fever with renal syndrome (HFRS), a serious threat to human health, is mainly transmitted by rodents in Eurasia. The risk of disease differs according to sex, age, and occupation. Further, temperature and rainfall have some lagging effects on the occurrence of the disease. The quantitative data for these factors in the Tai’an region of China are still unknown. We used a forest map to calculate the risk of HFRS in different populations and used four different mathematical models to explain the relationship between time factors, meteorological factors, and the disease. The results showed that compared with the whole population, the relative risk in rural medical staff and farmers was 5.05 and 2.00, respectively (p < 0.05). Joinpoint models showed that the number of cases decreased by 33.32% per year from 2005 to 2008 (p < 0.05). The generalized additive model showed that air temperature was positively correlated with disease risk from January to June, and that relative humidity was negatively correlated with risk from July to December. From January to June, with an increase in temperature, after 15 lags, the cumulative risk of disease increased at low temperatures. From July to December, the cumulative risk decreased with an increase in the relative humidity. Rural medical staff, farmers, men, and middle-aged individuals were at a high risk of HFRS. Moreover, air temperature and relative humidity are important factors that affect disease occurrence. These associations show lagged and differing effects according to the season. |
format |
article |
author |
XiuJuan Bi Shuying Yi Aihua Zhang Zhenghua Zhao Yunqiang Liu Chao Zhang Zhen Ye |
author_facet |
XiuJuan Bi Shuying Yi Aihua Zhang Zhenghua Zhao Yunqiang Liu Chao Zhang Zhen Ye |
author_sort |
XiuJuan Bi |
title |
Epidemiology of hemorrhagic fever with renal syndrome in Tai’an area |
title_short |
Epidemiology of hemorrhagic fever with renal syndrome in Tai’an area |
title_full |
Epidemiology of hemorrhagic fever with renal syndrome in Tai’an area |
title_fullStr |
Epidemiology of hemorrhagic fever with renal syndrome in Tai’an area |
title_full_unstemmed |
Epidemiology of hemorrhagic fever with renal syndrome in Tai’an area |
title_sort |
epidemiology of hemorrhagic fever with renal syndrome in tai’an area |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/b9cb7a91fb3f42f68ece4b298d2e0dfb |
work_keys_str_mv |
AT xiujuanbi epidemiologyofhemorrhagicfeverwithrenalsyndromeintaianarea AT shuyingyi epidemiologyofhemorrhagicfeverwithrenalsyndromeintaianarea AT aihuazhang epidemiologyofhemorrhagicfeverwithrenalsyndromeintaianarea AT zhenghuazhao epidemiologyofhemorrhagicfeverwithrenalsyndromeintaianarea AT yunqiangliu epidemiologyofhemorrhagicfeverwithrenalsyndromeintaianarea AT chaozhang epidemiologyofhemorrhagicfeverwithrenalsyndromeintaianarea AT zhenye epidemiologyofhemorrhagicfeverwithrenalsyndromeintaianarea |
_version_ |
1718384314378354688 |