How meteorological factors impacting on scrub typhus incidences in the main epidemic areas of 10 provinces, China, 2006–2018
Bibliographic Data
| ID | 22085730 |
|---|---|
| Authors | Yizhe Luo (0000-0002-7362-6018, Nanjing Medical University), Longyao Zhang (0000-0001-5363-8575, Fujian Agriculture and Forestry University), Heng Lv, Changqiang Zhu, Lele Ai, Yong Qi (0000-0002-0692-0962), Na Yue (0000-0002-6880-0261), Lingling Zhang (0000-0002-1995-9866, Fujian Agriculture and Forestry University), Jiahong Wu (0000-0001-6453-1570, Guiyang Medical University, corresponding author), Weilong Tan (0000-0002-2355-2612, Nanjing Medical University, corresponding author) |
| Year | 2022 |
| Volume | 10 |
| Pages | 992555-992555 |
| Publication date | 2022-10-19 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2022.992555 |
| PMID | 36339235 |
| OpenAlex | W4306795656 |
| Language | EN |
| Citations received | 5 |
| References cited | 37 |
Scrub typhus, caused by Orientia tsutsugamushi , is a serious public health problem in the Asia-Pacific region, threatening the health of more than one billion people. China is one of the countries with the most serious disease burden of scrub typhus. Previous epidemiological evidence indicated that meteorological factors may affect the incidence of scrub typhus, but there was limited evidence for the correlation between local natural environment factors dominated by meteorological factors and scrub typhus. This study aimed to evaluate the correlation between monthly scrub typhus incidence and meteorological factors in areas with high scrub typhus prevalence using a distributed lag non-linear model (DLNM). The monthly data on scrub typhus cases in ten provinces from 2006 to 2018 and meteorological parameters were obtained from the Public Health Science Data Center and the National Meteorological Data Sharing Center. The results of the single-variable and multiple-variable models showed a non-linear relationship between incidence and meteorological factors of mean temperature (Tmean), rainfall (RF), sunshine hours (SH), and relative humidity (RH). Taking the median of meteorological factors as the reference value, the relative risks (RRs) of monthly Tmean at 0°C, RH at 46%, and RF at 800 mm were most significant, with RRs of 2.28 (95% CI: 0.95–5.43), 1.71 (95% CI: 1.39–2.09), and 3.33 (95% CI: 1.89–5.86). In conclusion, relatively high temperature, high humidity, and favorable rainfall were associated with an increased risk of scrub typhus
Biology · China · Environmental health · Geography · Meteorology · Orientia tsutsugamushi · Public health · Relative humidity · Scrub typhus · Trombiculidae · Climate Change and Health Impacts · Demography · Environmental Science · Leptospirosis research and findings · Mathematics · Medicine · Viral Infections and Vectors · Ecology · Epidemiology · Internal Medicine · Virology
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| Unique citing works | 5 |
|---|---|
| Citations per year | 1.67 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |