ArticleHeliyon2021
Non-linear effect of different humidity types on scrub typhus occurrence in endemic provinces, Thailand.
Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 34 citations in OpenAlex.
- Non-linear effects and lag patterns of eco-environmental factors on scrub typhus: a spatiotemporal analysis in Yunnan, China, 2015-2022.Parasites & vectors · 2026Article
- Geographic and Orientia infection status influence on the bacterial microbiome of free-living chiggers in North Carolina, USA.PloS one · 2026Article
- The Effect of Climate Change on Emergence and Evolution of Zoonotic Diseases in Asia.Zoonoses and public health · 2025Review
- Associations between meteorological factors and scrub typhus incidence: a systematic review and meta-analysis of linear and nonlinear dose-response relationships.Tropical medicine and health · 2025Article
- Long-term exposure to extreme heat and cold and cognitive decline in older adults: Results from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort.Environmental research · 2025Article
- Scrub typhus in the era of climate change: exploring lagged and cumulative effects of meteorological factors in the Republic of Korea, 2001-2024, a nationwide time-series study.Osong public health and research perspectives · 2025Article
- Spatiotemporal evolution and impacts of environment on scrub typhus in northern China, 2006-2019.Journal of global health · 2025Article
- The Association Between Environmental Factors and Scrub Typhus: A Review.Tropical medicine and infectious disease · 2025Review
- Eschar is not the sole clue for scrub typhus: a retrospective analysis of pediatric scrub typhus without eschars.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025Article
- Exploring the influencing factors of scrub typhus in Gannan region, China, based on spatial regression modelling and geographical detector.Infectious Disease Modelling · 2025Article
- Meteorological factors and normalized difference vegetation index drivers of scrub typhus incidence in Shandong Province based on a 16-year time-frequency analysis.BMC public health · 2025Article
- A longitudinal molecular surveillance of genetic heterogeneity ofFrontiers in microbiology · 2025Article
- Article
- Pollen effects in a changing climate: Ragweed pollen exposure and sleepiness in immunotherapy patients of a Southeastern Michigan allergy clinic.International journal of biometeorology · 2024Article
- Climate influences scrub typhus occurrence in Vellore, Tamil Nadu, India: analysis of a 15-year dataset.Scientific reports · 2024Article
- Exploring the effects and interactions of meteorological factors on the incidence of scrub typhus in Ganzhou City, 2008-2021.BMC public health · 2024Article
- The impact of meteorological parameters on the scrub typhus incidence in Baoshan City, western Yunnan, China.Frontiers in public health · 2024Article
- Orientia, Rickettsia, and the microbiome in rodent attached chiggers in North Carolina, USA.PloS one · 2024Article
- Co-effects of global climatic dynamics and local climatic factors on scrub typhus in mainland China based on a nine-year time-frequency analysis.One health (Amsterdam, Netherlands) · 2022Article
- Habitat and Season Drive Chigger Mite Diversity and Abundance on Small Mammals in Peninsular Malaysia.Pathogens (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundReported monthly scrub typhus (ST) cases in Thailand has an increase in the number of cases during 2009-2014. Humidity is a crucial climatic factor for the survival of chiggers, which is the disease vectors. The present study was to determine the role of humidity in ST occurrence in Thailand and its delayed effect.
methodsWe obtained the climate data from the Department of Meteorology, the disease data from Ministry of Public Health. Negative binomial regression combined with a distributed lag non-linear model (NB-DLNM) was employed to determine the non-linear effects of different types of humidity on the disease. This model controlled overdispersion and confounder, including seasonality, minimum temperature, and cumulative total rainwater.
resultsThe occurrence of the disease in the 6-year period showed the number of cases gradually increased summer season (Mid-February - Mid-May) and then reached a plateau during the rainy season (Mid-May - Mid-October) and then steep fall after the cold season (Mid-October - Mid-February). The high level (at 70%) of minimum relative humidity (RHmin) was associated with a 33% (RR 1.33, 95% CI 1.13-1.57) significant increase in the number of the disease; a high level (at 14 g/m
conclusionHumidity played a significant role in enhancing ST cases in Thailand, particularly at a high level and usually occurred within the past month. NB-DLNM had good controlled for the overdispersion and provided the precise estimated relative risk of non-linear associations. Results from this study contributed the evidence to support the Ministry of Public Health on warning system which might be useful for public health intervention and preparation in Thailand.
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