ArticlePloS one2015
Association of Climatic Variability, Vector Population and Malarial Disease in District of Visakhapatnam, India: A Modeling and Prediction Analysis.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 101 citations in OpenAlex.
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- Spatiotemporal analysis of environmental and physiographic factors related to malaria in Bareilly district, India.Osong public health and research perspectives · 2022Article
- Bayesian spatio-temporal distributed lag modeling for delayed climatic effects on sparse malaria incidence data.BMC medical research methodology · 2021Article
- Climate based malaria forecasting system for Andhra Pradesh, India.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2020Article
- Epidemiology of infectious diarrhoea and the relationship with etiological and meteorological factors in Jiangsu Province, China.Scientific reports · 2019Article
- Epidemiological Characteristics of Re-emerging Vivax Malaria in the Republic of Korea (1993-2017).The Korean journal of parasitology · 2018Review
- Seasonal variations in Plasmodium falciparum genetic diversity and multiplicity of infection in asymptomatic children living in southern Ghana.BMC infectious diseases · 2018Article
- Modelling the influence of climate on malaria occurrence in Chimoio Municipality, Mozambique.Parasites & vectors · 2017Article
- The effects of electricity network development besides routine malaria control measures in an underdeveloped region in the pre-elimination phase.Malaria journal · 2016Article
- Estimating malaria parasite prevalence from community surveys in Uganda: a comparison of microscopy, rapid diagnostic tests and polymerase chain reaction.Malaria journal · 2015Article
- Population dynamics and community structure of Anopheles mosquitoes along the China-Myanmar border.Parasites & vectors · 2015Article
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3 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundMalarial incidence, severity, dynamics and distribution of malaria are strongly determined by climatic factors, i.e., temperature, precipitation, and relative humidity. The objectives of the current study were to analyse and model the relationships among climate, vector and malaria disease in district of Visakhapatnam, India to understand malaria transmission mechanism (MTM). METHODOLOGY: Epidemiological, vector and climate data were analysed for the years 2005 to 2011 in Visakhapatnam to understand the magnitude, trends and seasonal patterns of the malarial disease. Statistical software MINITAB ver. 14 was used for performing correlation, linear and multiple regression analysis. RESULTS/
findingsPerennial malaria disease incidence and mosquito population was observed in the district of Visakhapatnam with peaks in seasons. All the climatic variables have a significant influence on disease incidence as well as on mosquito populations. Correlation coefficient analysis, seasonal index and seasonal analysis demonstrated significant relationships among climatic factors, mosquito population and malaria disease incidence in the district of Visakhapatnam, India. Multiple regression and ARIMA (I) models are best suited models for modeling and prediction of disease incidences and mosquito population. Predicted values of average temperature, mosquito population and malarial cases increased along with the year. Developed MTM algorithm observed a major MTM cycle following the June to August rains and occurring between June to September and minor MTM cycles following March to April rains and occurring between March to April in the district of Visakhapatnam. Fluctuations in climatic factors favored an increase in mosquito populations and thereby increasing the number of malarial cases. Rainfall, temperatures (20°C to 33°C) and humidity (66% to 81%) maintained a warmer, wetter climate for mosquito growth, parasite development and malaria transmission. CONCLUSIONS/SIGNIFICANCE: Changes in climatic factors influence malaria directly by modifying the behaviour and geographical distribution of vectors and by changing the length of the life cycle of the parasite.
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