ArticleParasites & vectors2013
Temperature, relative humidity and sunshine may be the effective predictors for occurrence of malaria in Guangzhou, southern China, 2006-2012.
Article in Parasites & vectors, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 4 of them syntheses that pooled it.
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Who cites it
38 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Predicting the risk of malaria re-introduction in countries certified malaria-free: a systematic review.Malaria journal · 2023Pooled it
- Plasmodium vivax epidemiology in Ethiopia 2000-2020: A systematic review and meta-analysis.PLoS neglected tropical diseases · 2021Pooled it
- A review of the impact of outdoor and indoor environmental factors on human health in China.Environmental science and pollution research international · 2020Pooled it
- Differences of Rainfall-Malaria Associations in Lowland and Highland in Western Kenya.International journal of environmental research and public health · 2019Pooled it
- Effect of prolonged dehydration stress on the vector competence ofbioRxiv : the preprint server for biology · 2025Article
- Hybrid models combining trend and seasonality components with machine learning algorithms provide accurate forecasting of malaria incidence.PLOS global public health · 2025Article
- Effect of seasonal variability on the increased malaria positivity rate in drought-prone malaria endemic areas of Ethiopia.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2024Article
- The Effects of Environmental Factors on General Human Health: A Scoping Review.Healthcare (Basel, Switzerland) · 2024Article
- Epidemiology of malaria in saravan city and its suburbs from 2018 to 2023, Southeast Iran.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2024Article
- Association between Climate Factors and Dengue Fever in Asuncion, Paraguay: A Generalized Additive Model.International journal of environmental research and public health · 2022Article
- Global climate change and human health: Pathways and possible solutions.Eco-Environment & Health · 2022Review
- Exploring predictive frameworks for malaria in Burundi.Infectious Disease Modelling · 2022Article
- Climate Change and Vector-Borne Diseases in China: A Review of Evidence and Implications for Risk Management.Biology · 2022Review
- The neglected role of relative humidity in the interannual variability of urban malaria in Indian cities.Nature communications · 2022Article
- Spatio-Temporal Variation of Malaria Incidence and Risk Factors in West Gojjam Zone, Northwest Ethiopia.Environmental health insights · 2022Article
- Bayesian spatio-temporal distributed lag modeling for delayed climatic effects on sparse malaria incidence data.BMC medical research methodology · 2021Article
- Residual malaria in Jazan region, southwestern Saudi Arabia: the situation, challenges and climatic drivers of autochthonous malaria.Malaria journal · 2021Article
- Effect of temperature and its interactions with relative humidity and rainfall on malaria in a temperate city Suzhou, China.Environmental science and pollution research international · 2021Article
- Early warning climate indices for malaria and meningitis in tropical ecological zones.Scientific reports · 2020Article
- Modeling an association between malaria cases and climate variables for Keonjhar district of Odisha, India: a Bayesian approach.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malaria has been endemic in Guangzhou for more than 50 years. The goal of this study was to use a negative binomial regression to identify the relationship between meteorological variables and malaria reported. Our results revealed that each 1°C rise of temperature corresponds to an increase of 0.90% in the monthly number of malaria cases. Likewise, a one percent rise in relative humidity led to an increase of 3.99% and a one hour rise in sunshine led to an increase of 0.68% in the monthly number of cases. Our findings may be useful for developing a simple, precise malaria early warning system.
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