ArticleThe Science of the total environment2018
Projecting potential spatial and temporal changes in the distribution of
Article in The Science of the total environment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions.Journal of the Royal Society, Interface · 2021Pooled it
- Association of Climate Variables with Plasmodium vivax and Plasmodium falciparum Malaria Cases in Mandoto, Madagascar: A Statistical Modeling Study.The American journal of tropical medicine and hygiene · 2026Article
- Liver-targeted polymeric prodrugs delivered subcutaneously improve tafenoquine therapeutic window for malaria radical cure.Science advances · 2024Article
- Predicting malaria risk considering vector control interventions under climate change scenarios.Scientific reports · 2024Article
- Health Co-Benefits of Environmental Changes in the Context of Carbon Peaking and Carbon Neutrality in China.Health data science · 2024Review
- Article
- Malaria transmission in Nepal under climate change: anticipated shifts in extent and season, and comparison with risk definitions for intervention.Malaria journal · 2022Article
- Climate Change and Cascading Risks from Infectious Disease.Infectious diseases and therapy · 2022Review
- Bayesian spatio-temporal distributed lag modeling for delayed climatic effects on sparse malaria incidence data.BMC medical research methodology · 2021Article
- Impact of Climate Change on Health and Well-Being of People in Hindu Kush Himalayan Region: A Narrative Review.Frontiers in physiology · 2021Review
- Spatio-Temporal Dynamic of Malaria Incidence: A Comparison of Two Ecological Zones in Mali.International journal of environmental research and public health · 2020Article
- THE EXPOSOME IN HUMAN EVOLUTION: FROM DUST TO DIESEL.The Quarterly review of biology · 2019Article
- Effects of Climate Change and Heterogeneity of Local Climates оn the Development of Malaria Parasite (International journal of environmental research and public health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 7 institutions in 4 countries.
Funding
Abstract
backgroundGlobal climate change is likely to increase the geographic range and seasonality of malaria transmission. Areas suitable for distribution of malaria vectors are predicted to increase with climate change but evidence is limited on future distribution of malaria with climate in China.
objectiveOur aim was to assess a potential effect of climate change on
methodsNational malaria surveillance data during 2005-2014 were integrated with corresponding climate data to model current weather-malaria relationship. We used the Generalized Additive Model (GAM) with a spatial component, assuming a quasi-Poisson distribution and including an offset for the population while accounting for potential non-linearity and long-term trend. The association was applied to future climate to project county-level malaria distribution using ensembles of Global Climate Models under two climate scenarios - Representative Concentration Pathways (RCP4.5 and RCP8.5).
resultsClimate change could substantially increase
conclusionOur findings suggest that spatial and temporal distribution of
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.