ArticleEpidemiology and infection2017
Effect of temperature, relative humidity and rainfall on dengue fever and leptospirosis infections in Manila, the Philippines.
Article in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.
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Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 77 citations in OpenAlex.
- The Impact of Climate on Human Dengue Infections in the Caribbean.Pathogens (Basel, Switzerland) · 2024Pooled it
- Trends in dengue research in the Philippines: A systematic review.PLoS neglected tropical diseases · 2019Pooled it
- Unseen but increasing: recent changes in risk of extreme precipitation over Southern Africa and Southeast Asia.Weather and climate extremes · 2026Article
- The Role of Hydrometeorological Factors in Leptospirosis Transmission in Central Java, Indonesia.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2025Article
- Pre- and post-COVID-19 pandemic identification of dengue hotspots and exploration of population and environmental determinants of dengue in Quezon City, Philippines.Tropical medicine and health · 2025Article
- Dengue and chikungunya viruses among febrile travelers entering Iran (2015-2021): Evidence of multiple introductions from different countries.IJID regions · 2025Article
- A Systematic Review of Epidemiologic Studies on Scabies in the Philippines.Acta medica Philippina · 2024Article
- Frequency Distribution of Pediatric Primary Care Cases in a Rural Site in The Philippines: A Cross-Sectional Study.Acta medica Philippina · 2024Article
- Molecular Diagnosis as an Alternative for Public Health Surveillance of Leptospirosis in Colombia.Microorganisms · 2023Review
- Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019.Tropical medicine and health · 2023Article
- Potential Drivers for the Re-Emergence of Canine Leptospirosis in the United States and Canada.Tropical medicine and infectious disease · 2022Review
- Temporal trend and spatial clustering of the dengue fever prevalence in West Java, Indonesia.Heliyon · 2022Article
- Rainfall and other meteorological factors as drivers of urban transmission of leptospirosis.PLoS neglected tropical diseases · 2022Article
- Spatial-temporal patterns and risk factors for human leptospirosis in Thailand, 2012-2018.Scientific reports · 2022Article
- Constructing and validating a transferable epidemic risk index in data scarce environments using open data: A case study for dengue in the Philippines.PLoS neglected tropical diseases · 2022Article
- Climate Change Impacts on Microbiota in Beach Sand and Water: Looking Ahead.International journal of environmental research and public health · 2022Review
- SARIMA and ARDL models for predicting leptospirosis in Anuradhapura district Sri Lanka.PloS one · 2022Article
- Climatic Variability and Human Leptospirosis Cases in Cartagena, Colombia: A 10-Year Ecological Study.The American journal of tropical medicine and hygiene · 2021Article
- Both Full-Length and Protease-Cleaved Products of Osteopontin Are Elevated in Infectious Diseases.Biomedicines · 2021Review
- Spatio-temporal distribution and agroecological factors associated with canine leptospirosis in Great Britain.Preventive veterinary medicine · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dengue fever (DF) and leptospirosis are serious public problems in tropical regions, especially in Manila, the Philippines. In attempting to understand the causes of DF and leptospirosis seasonality, meteorological factors have been suspected, but quantitative correlation between seasonality and meteorological factors has not been fully investigated. In this study, we investigated correlation of temporal patterns of reported numbers of laboratory-confirmed cases of both DF and leptospirosis with meteorological conditions (temperature, relative humidity, rainfall) in Manila. We used time-series analysis combined with spectral analysis and the least squares method. A 1-year cycle explained underlying variations of DF, leptospirosis and meteorological data. There was a peak of the 1-year cycle in temperature during May, followed by maxima in rainfall, relative humidity and number of laboratory-confirmed DF and leptospirosis cases. This result suggests that DF and leptospirosis epidemics are correlated not only with rainfall but also relative humidity and temperature in the Philippines. Quantifying the correlation of DF and leptospirosis infections with meteorological conditions may prove useful in predicting DF and leptospirosis epidemics, and health services should plan accordingly.
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