ArticleMalaria journal2014
The temporal lagged association between meteorological factors and malaria in 30 counties in south-west China: a multilevel distributed lag non-linear analysis.
Article in Malaria journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.
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Who cites it
34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.
- Predicting the risk of malaria re-introduction in countries certified malaria-free: a systematic review.Malaria journal · 2023Pooled it
- The Impact of Meteorological Factors on Communicable Disease Incidence and Its Projection: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Differences of Rainfall-Malaria Associations in Lowland and Highland in Western Kenya.International journal of environmental research and public health · 2019Pooled it
- Climatic drivers of the 2024 malaria outbreak in two neighbouring districts in northeastern India and its corridor: The indirect role of El Niño.One health (Amsterdam, Netherlands) · 2026Article
- Spatiotemporal patterns and climate-induced macroeconomic burden of malaria in sub-Saharan Africa.BMC public health · 2025Article
- Climate variability, socio-economic conditions and vulnerability to malaria infections in Mozambique 2016-2018: a spatial temporal analysis.Frontiers in public health · 2023Article
- Climate Change and Vector-Borne Diseases in China: A Review of Evidence and Implications for Risk Management.Biology · 2022Review
- The Temporal Lagged Relationship Between Meteorological Factors and Scrub Typhus With the Distributed Lag Non-linear Model in Rural Southwest China.Frontiers in public health · 2022Article
- Bayesian spatio-temporal distributed lag modeling for delayed climatic effects on sparse malaria incidence data.BMC medical research methodology · 2021Article
- Associations between environmental covariates and temporal changes in malaria incidence in high transmission settings of Uganda: a distributed lag nonlinear analysis.BMC public health · 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
- Disparities in Risks of Malaria Associated with Climatic Variability among Women, Children and Elderly in the Chittagong Hill Tracts of Bangladesh.International journal of environmental research and public health · 2020Article
- Spatial and Temporal Patterns of Malaria in Phu Yen Province, Vietnam, from 2005 to 2016.The American journal of tropical medicine and hygiene · 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
- Temporal lagged relationship between a vegetation index and cutaneous leishmaniasis cases in Colombia: an analysis implementing a distributed lag nonlinear model.Parasitology research · 2020Article
- Health impact of climate change in cities of middle-income countries: the case of China.British medical bulletin · 2019Review
- Dentine biomarkers of prenatal and early childhood exposure to manganese, zinc and lead and childhood behavior.Environment international · 2018Article
- The influence of meteorological factors on tuberculosis incidence in Southwest China from 2006 to 2015.Scientific reports · 2018Article
- A Time Series Analysis: Weather Factors, Human Migration and Malaria Cases in Endemic Area of Purworejo, Indonesia, 2005-2014.Iranian journal of public health · 2018Article
- Considering spatial heterogeneity in the distributed lag non-linear model when analyzing spatiotemporal data.Journal of exposure science & environmental epidemiology · 2018Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe association between malaria and meteorological factors is complex due to the lagged and non-linear pattern. Without fully considering these characteristics, existing studies usually concluded inconsistent findings. Investigating the lagged correlation pattern between malaria and climatic variables may improve the understanding of the association and generate possible better prediction models. This is especially beneficial to the south-west China, which is a high-incidence area in China.
methodsThirty counties in south-west China were selected, and corresponding weekly malaria cases and four weekly meteorological variables were collected from 2004 to 2009. The Multilevel Distributed Lag Non-linear Model (MDLNM) was used to study the temporal lagged correlation between weekly malaria and weekly meteorological factors. The counties were divided into two groups, hot and cold weathers, in order to compare the difference under different climatic conditions and improve reliability and generalizability within similar climatic conditions.
resultsRainfall was associated with malaria cases in both hot and cold weather counties with a lagged correlation, and the lag range was relatively longer than those of other meteorological factors. Besides, the lag range was longer in hot weather counties compared to cold weather counties. Relative humidity was correlated with malaria cases at early and late lags in hot weather counties.Minimum temperature had a longer lag range and larger correlation coefficients for hot weather counties compared to cold weather counties. Maximum temperature was only associated with malaria cases at early lags.
conclusionUsing weekly malaria cases and meteorological information, this work studied the temporal lagged association pattern between malaria cases and meteorological information in south-west China. The results suggest that different meteorological factors show distinct patterns and magnitudes for the lagged correlation, and the patterns will depend on the climatic condition. Existing inconsistent findings for climatic factors' lags could be due to either the invalid assumption of a single fixed lag or the distinct temperature conditions from different study sites. The lag pattern for meteorological factors should be considered in the development of malaria early warning system.
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