ArticleInfectious Disease Modelling2017
Climate variability and infectious diseases nexus: Evidence from Sweden.
Article in Infectious Disease Modelling, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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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.
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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.
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Who cites it
23 citing papers in PubMed.
- Healthcare delivery in the arctic-telehealth prospects.International journal of circumpolar health · 2025Review
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- Air Pollution and Influenza Incidence: Evidence from Highly Polluted Countries.Iranian journal of public health · 2025Article
- Ambient air pollution contributed to pulmonary tuberculosis in China.Emerging microbes & infections · 2024Article
- Tropical Diseases in the United States: Beyond Poverty - Advancing an Ecological Framework in Tropical Medicine.The American journal of tropical medicine and hygiene · 2024Article
- Persistence of Coronavirus on Surface Materials and Its Control Measures Using Nonthermal Plasma and Other Agents.International journal of molecular sciences · 2023Review
- Article
- Separation of Different Blogs from Skin Disease Data using Artificial Intelligence.Computational intelligence and neuroscience · 2022Article
- Climate change, extreme events, and increased risk of salmonellosis: foodborne diseases active surveillance network (FoodNet), 2004-2014.Environmental health : a global access science source · 2021Article
- Association between environmental factors and COVID-19 in Shanghai, China.Environmental science and pollution research international · 2021Article
- A review of the COVID-19 pandemic and its interaction with environmental media.Environmental challenges (Amsterdam, Netherlands) · 2021Review
- Meteorological factors, governmental responses and COVID-19: Evidence from four European countries.Environmental research · 2021Article
- The spread of 2019-nCoV in China was primarily driven by population density. Comment on "Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China" by Zhu et al.The Science of the total environment · 2020Article
- Airborne particulate matter, population mobility and COVID-19: a multi-city study in China.BMC public health · 2020Article
- The mediating effect of air quality on the association between human mobility and COVID-19 infection in China.Environmental research · 2020Article
- Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China.The Science of the total environment · 2020Article
- Association between ambient temperature and COVID-19 infection in 122 cities from China.The Science of the total environment · 2020Article
- Article
- Climate Change and Infectious Diseases: Evidence from Highly Vulnerable Countries.Iranian journal of public health · 2019Article
- Nexus between Air Pollution and Neonatal Deaths: A Case of Asian Countries.International journal of environmental research and public health · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many studies on the link between climate variability and infectious diseases are based on biophysical experiments, do not account for socio-economic factors and with little focus on developed countries. This study examines the effect of climate variability and socio-economic variables on infectious diseases using data from all 21 Swedish counties. Employing static and dynamic modelling frameworks, we observe that temperature has a linear negative effect on the number of patients. The relationship between winter temperature and the number of patients is non-linear and "U" shaped in the static model. Conversely, a positive effect of precipitation on the number of patients is found, with modest heterogeneity in the effect of climate variables on the number of patients across disease classifications observed. The effect of education and number of health personnel explain the number of patients in a similar direction (negative), while population density and immigration drive up reported cases. Income explains this phenomenon non-linearly. In the dynamic setting, we found significant persistence in the number of infectious and parasitic-diseased patients, with temperature and income observed as the only significant drivers.
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Registered trials
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