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- Spatiotemporal analysis of environmental and physiographic factors related to malaria in Bareilly district, India
- Shikhar Chaudhary, Biju Soman
- Osong Public Health Res Perspect. 2022;13(2):123-132. Published online March 31, 2022
- DOI: https://doi.org/10.24171/j.phrp.2021.0304
- 4,979 View
- 92 Download
- 1 Crossref
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Graphical Abstract
Abstract
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- Objectives
The aim of this study was to explore the spatiotemporal clustering of reported malaria cases and to study the effects of various environmental and physiographic factors on malaria incidence in Bareilly district, Uttar Pradesh, India. Methods: Malaria surveillance data were collected from the state health department and cleaned into an analyzable format. These data were analyzed along with meteorological, physiographic, and 2019 population data, which were obtained from the Indian Meteorological Department, National Aeronautics and Space Administration web portal, the Bhuvan platform of the Indian Space Research Organization, and the 2011 Census of India. Results: In total, 46,717 malaria cases were reported in Bareilly district in 2019, of which 25.99% were Plasmodium vivax cases and 74.01% were P. falciparum cases. The reported malaria cases in the district showed clustering, with significant spatial autocorrelation (Moran’s I value=0.63), and space-time clustering (p<0.01). A significant positive correlation was found between monthly malaria incidence and the monthly mean temperature (with a lag of 1−2 months) and rainfall (with a lag of 1 month). A significant negative correlation was detected between the elevation of blocks (i.e., intermediate-level administrative districts) and annual malaria reporting. Conclusion: The presence of space-time clustering of malaria cases and its correlation with meteorological and physiographic factors indicate that routine spatial analysis of the surveillance data could help control and manage malaria outbreaks in the district. -
Citations
Citations to this article as recorded by
- Digital health: trends, opportunities and challenges in medical devices, pharma and bio-technology
Naresh Kasoju, N. S. Remya, Renjith Sasi, S. Sujesh, Biju Soman, C. Kesavadas, C. V. Muraleedharan, P. R. Harikrishna Varma, Sanjay Behari
CSI Transactions on ICT.2023; 11(1): 11. CrossRef
- Digital health: trends, opportunities and challenges in medical devices, pharma and bio-technology
- The Influence of Dietary Patterns on the Nutritional Profile in a Korean Child Cohort Study
- Hyeon-Jeong Choi, Hyojee Joung, Hye-Ja Lee, Han Byul Jang, Jae-Heon Kang, Jihyun Song
- Osong Public Health Res Perspect. 2011;2(1):59-64. Published online June 30, 2011
- DOI: https://doi.org/10.1016/j.phrp.2011.04.007
- 2,917 View
- 15 Download
- 14 Crossref
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Abstract
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- Objectives
The aim of the present study was to identify the major dietary patterns of seven- and eight-year-old Korean children and to examine the relationship between dietary patterns and obesity, nutrient intake, and diet quality.
Methods
The subjects were 284 seven- and eight-year-old children who participated in the Gwacheon child cohort study. Three dietary patterns emerged from the factor analysis: Korean, modified Western, and Western. Cluster analysis was used to classify the subjects into two dietary groups: Korean and Western diet patterns.
Results
The two different dietary patterns were closely related to dietary quality which in turn was related to health risks. The Western diet group had a lower fiber intake, a higher intake of energy, fat and calcium and a higher dietary diversity score (DDS) than the Korean diet group. The number of days when fruit, milk and dairy products were omitted from the diet was higher for the Korean diet group than for the Western group.
Conclusions
Dietary patterns and related diet quality should be considered when designing nutrition policy and intervention programs for children. -
Citations
Citations to this article as recorded by- Factors Associated with Dietary Patterns of Schoolchildren: A Systematic Review
Laura Rangel Drummond de Menezes, Rafaela Cristina Vieira e Souza, Pollyanna Costa Cardoso, Luana Caroline dos Santos
Nutrients.2023; 15(11): 2450. CrossRef - The effect of a nutrition program based on the Health Behavior Interaction Model on primary school students’ nutritional attitudes and behaviors
Ayşe Burcu Başçı, Oya Nuran Emiroğlu, Bilge Kalanlar
Journal of Public Health.2023;[Epub] CrossRef - Dietary patterns of 5-year-old children and their correlates: findings from a multi-ethnic Asian cohort
Ray Sugianto, Shu Fang Wong, Jia Ying Toh, Mya Thway Tint, Marjorelee T. Colega, Yung Seng Lee, Fabian Kok Peng Yap, Lynette Pei-Chi Shek, Kok Hian Tan, Keith M. Godfrey, Yap Seng Chong, Bee Choo Tai, Mary Foong-Fong Chong
British Journal of Nutrition.2022; 127(5): 763. CrossRef - Association of Dietary Patterns with Weight Status and Metabolic Risk Factors among Children and Adolescents
Seulki Oh, So Yeong Lee, Do-Yeon Kim, Sarah Woo, YoonMyung Kim, Hye-Ja Lee, Han Byul Jang, Sang Ick Park, Kyung Hee Park, Hyunjung Lim
Nutrients.2021; 13(4): 1153. CrossRef - Dairy protein intake is inversely related to development of non-alcoholic fatty liver disease
Jun-Hyuk Lee, Hye Sun Lee, Sang Bong Ahn, Yu-Jin Kwon
Clinical Nutrition.2021; 40(10): 5252. CrossRef - Traditional v. modern dietary patterns among a population in western Austria: associations with body composition and nutrient profile
Sabrina Egg, Judith Erler, Bernhard Perktold, Verena Hasenegger, Petra Rust, Reinhold Ramoner, Jürgen König, Anna Elisabeth Purtscher
Public Health Nutrition.2019; 22(3): 455. CrossRef - Associations of Dietary Riboflavin, Niacin, and Retinol with Age-related Hearing Loss: An Analysis of Korean National Health and Nutrition Examination Survey Data
Tae Su Kim, Jong Woo Chung
Nutrients.2019; 11(4): 896. CrossRef - Relationship between Obesity and Korean and Mediterranean Dietary Patterns: A Review of the Literature
Eunhee Choi, Seong-Ah Kim, Hyojee Joung
Journal of Obesity & Metabolic Syndrome.2019; 28(1): 30. CrossRef - Sociodemographic, anthropometric and behavioural risk factors for ultra-processed food consumption in a sample of 2–9-year-olds in Brazil
Laís Amaral Mais, Sarah Warkentin, Juliana Bergamo Vega, Maria do Rosário Dias de Oliveira Latorre, Susan Carnell, José Augusto de Aguiar Carrazedo Taddei
Public Health Nutrition.2018; 21(1): 77. CrossRef - Effects of total fat intake on bodyweight in children
Celeste E Naude, Marianne E Visser, Kim A Nguyen, Solange Durao, Anel Schoonees
Cochrane Database of Systematic Reviews.2018;[Epub] CrossRef - Effects of total fat intake on bodyweight in children
Celeste E Naude, Marianne E Visser, Kim A Nguyen, Solange Durao, Anel Schoonees
Cochrane Database of Systematic Reviews.2018;[Epub] CrossRef - What are Asian-American Youth Consuming? A Systematic Literature Review
Cassandra S. Diep, Margaret J. Foster, E. Lisako J. McKyer, Patricia Goodson, Jeffrey J. Guidry, Jeffrey Liew
Journal of Immigrant and Minority Health.2015; 17(2): 591. CrossRef - School and Neighborhood Nutrition Environment and Their Association With Students' Nutrition Behaviors and Weight Status in Seoul, South Korea
Sohyun Park, Bo Youl Choi, Youfa Wang, Elizabeth Colantuoni, Joel Gittelsohn
Journal of Adolescent Health.2013; 53(5): 655. CrossRef - The Road Less Traveled
Chaeshin Chu
Osong Public Health and Research Perspectives.2011; 2(1): 1. CrossRef
- Factors Associated with Dietary Patterns of Schoolchildren: A Systematic Review
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