Skip Navigation
Skip to contents

Epidemiol Health : Epidemiology and Health

OPEN ACCESS
SEARCH
Search
Advanced Search
mobile menu button

Search

Page Path
HOME > Search
3 "Dengue"
Filter
Filter
Article category
Keywords
More +
Publication year
Authors
More +
Funded articles
Original Article
Aedes aegypti container preference for oviposition and its possible implications for dengue vector surveillance in Delhi, India
Pooja Prasad, Suman Lata, Sanjeev Kumar Gupta, Pawan Kumar, Rekha Saxena, Deepak Kumar Arya, Himmat Singh
Epidemiol Health. 2023;45:e2023073.   Published online August 23, 2023
DOI: https://doi.org/10.4178/epih.e2023073
  • 4,729 View
  • 164 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
Dengue is a mosquito-borne viral disease globally transmitted by <i>Aedes aegypti</i>. The most effective method to prevent the transmission of the disease is proficient vector control. Understanding the breeding behaviour of the responsible vectors is very pertinent in this regard; therefore, the present study was conducted to understand <i>Ae. aegypti</i> behaviour regarding the selection of containers for oviposition in the megacity of Delhi.
METHODS
A household survey in different localities within Delhi was carried out during 2018-2019. All available containers were inspected for the presence of immature <i>Ae. aegypti</i>. In entomological surveillance, the ovipositional preference of <i>Aedes</i> was computed using the breeding preference ratio, container index in the field, and laboratory settings, and associations of dengue cases with monthly variation in environmental factors and container type were also calculated.
RESULTS
The household larval survey in 40 localities showed that 40% of 27,776 water-holding containers in 3,400 houses were plastic, followed by overhead tanks (26.2%), and coolers (12.1%). The most preferred breeding habitat was clay pots (9.3%), followed by metallic containers (8.5%) and solid waste (7.1%). A laboratory-based study showed that <i>Aedes</i> preferred clay containers (81.8%) over 4 other types of containers (plastic, paper, metal, and glass).
CONCLUSIONS
The present study provides a rationale for using clay containers as a possible surveillance tool (ovitraps) or as a vector control tool. This information might aid researchers in developing novel traps and targeting preferred containers for larval control activities during transmission and non-transmission seasons.
Summary
Key Message
Targeted control is essential for the success of any intervention. Our study revealed that Aedes aegypti has a choice of clay pots over other containers for laying their eggs; this information may be used for developing novel interventions and surveillance tools. This may be useful for countries' vector control programs.
COVID-19: Perspective
Dengue and COVID-19 infections in the ASEAN region: a concurrent outbreak of viral diseases
Lowilius Wiyono, Ian Christoper N. Rocha, Trisha Denise D. Cedeño, Adriana Viola Miranda, Don Eliseo Lucero-Prisno III
Epidemiol Health. 2021;43:e2021070.   Published online September 16, 2021
DOI: https://doi.org/10.4178/epih.e2021070
  • 12,726 View
  • 285 Download
  • 19 Web of Science
  • 20 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
Member countries of the Association of Southeast Asian Nations (ASEAN) have faced dengue outbreaks for decades, and the region has one of the highest rates of dengue globally. Outbreaks continue to occur concurrently with the coronavirus disease 2019 (COVID-19) pandemic in the 10 ASEAN countries. Both infectious diseases pose a tremendous burden in these countries related to both infection control and the economy. Increases in the number of dengue cases occurred in part due to disruptions in the pathogen-host-vector relationship caused by changes in human behaviour in response to the COVID-19 pandemic. The spread of dengue was further aggravated by the implementation of lockdowns and social distancing policies. These measures limited the coverage of dengue preventive programs and delayed the medical management of both diseases due to co-infection and misdiagnosis. It is of the utmost importance for the population to remain aware of both diseases, and dengue vector control strategies must be devised to properly address outbreaks using digitalization and remote surveillance. Similarly, critical triage algorithms and further research are also needed to combat co-infection and misdiagnosis. Controlling the spread of COVID-19 though vaccination should also be undertaken to reduce the impact of the pandemic.
Summary
Key Message
The rising dengue infection amidst the COVID-19 pandemic has indicated the need of response to mitigate the dangers of both dengue and COVID-19. Appropriate measurement from all ASEAN countries are needed to lower the number of cases and ease the burden of both dengue and COVID-19 management."

Citations

Citations to this article as recorded by  
  • Health System Preparedness, Response, and Incidence of Dengue in District Mianwali
    Fatima Naseem, Muhammad Iftikhar Khattak, Faisal Rashid, Samia Nasim, Mustafa Khalid Waheed, Javaria Mustafa
    Pakistan Journal of Health Sciences.2024; : 55.     CrossRef
  • Potential inhibitors isolated from Curcuma aeruginosa against dengue virus type 2 (DENV-2) NS2B-NS3 protease activity
    Siti Sarah Fazalul Rahiman, Mohammad Al-Amin, Noratiqah Mohtar, Iffah Izzati Zakaria, Ummirul Mukminin Kahar, Melati Khairuddean, Salizawati Muhamad Salhimi
    Journal of Biologically Active Products from Nature.2024; 14(1): 64.     CrossRef
  • Proceedings of the 6th Asia Dengue Summit, June 2023
    Nattachai Srisawat, Duane J. Gubler, Tikki Pangestu, Umaporn Limothai, Usa Thisyakorn, Zulkifli Ismail, Daniel Goh, Maria Rosario Capeding, Lulu Bravo, Sutee Yoksan, Terapong Tantawichien, Sri Rezeki Hadinegoro, Kamran Rafiq, Valentina Sanchez Picot, Eng
    PLOS Neglected Tropical Diseases.2024; 18(3): e0012060.     CrossRef
  • Analysis of temperature, humidity, rainfall, and wind velocity on dengue hemorrhagic fever in Bandung municipality
    A. Sutriyawan, N. Kurniati, Novianti Novianti, U. Farida, L. Yusanti, S.N. Destriani, M.K.F. Saputra
    Russian Journal of Infection and Immunity.2024; 14(1): 155.     CrossRef
  • Dengue fever coinfection in COVID‐19 era: A public health concern
    Soumya Jal, Sangeeta Chhotaray, Gurudutta Pattnaik, Snehasish Mishra, Ranjan K. Mohapatra, Venkataramana Kandi, Md. Kudrat‐E‐Zahan
    Health Science Reports.2024;[Epub]     CrossRef
  • Incidence and co-infection with COVID-19 of dengue during the COVID-19 pandemic
    Yuan-Pin Hung, Ching-Chi Lee, Ying-Wen Chen, Jen-Chieh Lee, Chun-Wei Chiu, Po-Ren Hsueh, Wen-Chien Ko
    Journal of the Formosan Medical Association.2024;[Epub]     CrossRef
  • Infectious disease research in the Association of Southeast Asian Nations region: a scientometric analysis
    Joseph Christian Obnial, Catherine Joy Escuadra, Adriana Viola Miranda, Don Eliseo Lucero-Prisno, III
    Osong Public Health and Research Perspectives.2024; 15(4): 329.     CrossRef
  • Genomic Characterization of Dengue Virus Outbreak in 2022 from Pakistan
    Massab Umair, Syed Adnan Haider, Zaira Rehman, Zunera Jamal, Qasim Ali, Rabia Hakim, Shaheen Bibi, Aamer Ikram, Muhammad Salman
    Vaccines.2023; 11(1): 163.     CrossRef
  • Rapid Appraisals of the Transformation Strategy Required to Sustain Dengue Vector Control During and After the COVID-19 Pandemic in Indonesia
    Sulistyawati Sulistyawati, Herman Yuliansyah, Tri Wahyuni Sukesi, Arfiani Nur Khusna, Surahma Asti Mulasari, Fatwa Tentama, Bambang Sudarsono, Fanani Arief Ghozali
    Risk Management and Healthcare Policy.2023; Volume 16: 93.     CrossRef
  • Singapore’s Dengue Outbreak Amidst the COVID-19 Pandemic: Challenges, Responses, and Lessons
    Huzaifa Ahmad Cheema, Rustam Shariq Mujtaba, Amna Siddiqui, Laiba Imran Vohra, Abia Shahid, Jaffer Shah, Abdulqadir J Nashwan, Natasha Howard
    Infection and Drug Resistance.2023; Volume 16: 1081.     CrossRef
  • The Diagnostic Potential of RNA Aptamers against the NS1 Protein of Dengue Virus Serotype 2
    Ramesh Thevendran, Sivalingam Rogini, Glenn Leighton, Atherton Mutombwera, Sarah Shigdar, Thean-Hock Tang, Marimuthu Citartan
    Biology.2023; 12(5): 722.     CrossRef
  • Incidence and mortality trends of neglected tropical diseases and malaria in China and ASEAN countries from 1990 to 2019 and its association with the socio-demographic index
    Qiao Liu, Wenxin Yan, Chenyuan Qin, Min Du, Yaping Wang, Min Liu, Jue Liu
    Global Health Research and Policy.2023;[Epub]     CrossRef
  • Dengue in Pregnancy: A Southeast Asian Perspective
    Vanessa Chong, Jennifer Zi Ling Tan, Valliammai Jayanthi Thirunavuk Arasoo
    Tropical Medicine and Infectious Disease.2023; 8(2): 86.     CrossRef
  • The effects of the COVID-19 pandemic on dengue cases in Malaysia
    Nuur Hafizah Md Iderus, Sarbhan Singh Lakha Singh, Sumarni Mohd Ghazali, Asrul Anuar Zulkifli, Nur Ain Mohd Ghazali, Mei Cheng Lim, Lonny Chen Rong Qi Ahmad, Mohamad Nadzmi Md Nadzri, Cia Vei Tan, Ahmed Syahmi Syafiq Md Zamri, Chee Herng Lai, Nur Shuhada
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • Dengue Dynamics: A Global Update
    Rabeya Yousuf, Md Wasek Salam, Shaima Akter, Susmita Sinha, Mainul Haque
    Advances in Human Biology.2023;[Epub]     CrossRef
  • The simultaneous crises of dengue and COVID-19 in Pakistan: a double hazard for the country’s debilitated healthcare system
    Govinda Khatri, Mohammad Mehedi Hasan, Somina Shaikh, Syeda Lamiya Mir, Abdul Moiz Sahito, Priya, Ian Christopher N. Rocha, Osman Kamal Osman Elmahi
    Tropical Medicine and Health.2022;[Epub]     CrossRef
  • Does COVID-19 lockdowns have impacted on global dengue burden? A special focus to India
    Hemlata Sharma, Ashal Ilyas, Abhiroop Chowdhury, Nitesh Kumar Poddar, Anis Ahmad Chaudhary, Sireen Abdul Rahim Shilbayeh, Alnada Abdalla Ibrahim, Shahanavaj Khan
    BMC Public Health.2022;[Epub]     CrossRef
  • Temporal Variations and Spatial Clusters of Dengue in Thailand: Longitudinal Study before and during the Coronavirus Disease (COVID-19) Pandemic
    Sayambhu Saita, Sasithan Maeakhian, Tassanee Silawan
    Tropical Medicine and Infectious Disease.2022; 7(8): 171.     CrossRef
  • Epidemiology (2012-2019) and costs (2009-2019) of dengue in Malaysia: a systematic literature review
    Sazaly AbuBakar, Sharifa Ezat Wan Puteh, Randee Kastner, Louisa Oliver, Shi Hao Lim, Riona Hanley, Elaine Gallagher
    International Journal of Infectious Diseases.2022; 124: 240.     CrossRef
  • Has COVID-19 suppressed dengue transmission in Nepal?
    Basu Dev Pandey, Mya Myat Ngwe Tun, Kishor Pandey, Shyam Prakash Dumre, Pramananda Bhandari, Uttam Raj Pyakurel, Nayanum Pokhrel, Meghanath Dhimal, Pardip Gyanwali, Richard Culleton, Yuki Takamatsu, Anthony Costello, Kouichi Morita
    Epidemiology and Infection.2022;[Epub]     CrossRef
Original Article
Empirical model for estimating dengue incidence using temperature, rainfall, and relative humidity: a 19-year retrospective analysis in East Delhi
Vishnampettai G. Ramachandran, Priyamvada Roy, Shukla Das, Narendra Singh Mogha, Ajay Kumar Bansal
Epidemiol Health. 2016;38:e2016052.   Published online November 27, 2016
DOI: https://doi.org/10.4178/epih.e2016052
  • 19,158 View
  • 371 Download
  • 31 Web of Science
  • 21 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
Aedes mosquitoes are responsible for transmitting the dengue virus. The mosquito lifecycle is known to be influenced by temperature, rainfall, and relative humidity. This retrospective study was planned to investigate whether climatic factors could be used to predict the occurrence of dengue in East Delhi.
METHODS
The number of monthly dengue cases reported over 19 years was obtained from the laboratory records of our institution. Monthly data of rainfall, temperature, and humidity collected from a local weather station were correlated with the number of monthly reported dengue cases. One-way analysis of variance was used to analyse whether the climatic parameters differed significantly among seasons. Four models were developed using negative binomial generalized linear model analysis. Monthly rainfall, temperature, humidity, were used as independent variables, and the number of dengue cases reported monthly was used as the dependent variable. The first model considered data from the same month, while the other three models involved incorporating data with a lag phase of 1, 2, and 3 months, respectively.
RESULTS
The greatest number of cases was reported during the post-monsoon period each year. Temperature, rainfall, and humidity varied significantly across the pre-monsoon, monsoon, and post-monsoon periods. The best correlation between these three climatic factors and dengue occurrence was at a time lag of 2 months.
CONCLUSIONS
This study found that temperature, rainfall, and relative humidity significantly affected dengue occurrence in East Delhi. This weather-based dengue empirical model can forecast potential outbreaks 2-month in advance, providing an early warning system for intensifying dengue control measures.
Summary

Citations

Citations to this article as recorded by  
  • Improving dengue fever predictions in Taiwan based on feature selection and random forests
    Chao-Yang Kuo, Wei-Wen Yang, Emily Chia-Yu Su
    BMC Infectious Diseases.2024;[Epub]     CrossRef
  • Intrauterine Transmission of Zika and Vertical Transfer of Neutralizing Antibodies Detected Immediately at Birth in Oaxaca, Mexico: An Analysis in the Context of Microcephaly
    Alfredo Porras-García, Dina Villanueva-García, Rafael Arnaud-Rios, Nadia García-Lemus, Angélica Castillo-Romero, Mariana Mejía-Flores, Luis Erik Contreras, Liliana Hernández-Castillo, Elva Jiménez-Hernández, Juan Manuel Mejía-Aranguré, Sara A. Ochoa, Juan
    Microorganisms.2024; 12(3): 423.     CrossRef
  • Influence of climatic factors on the life stages of Aedes mosquitoes and vectorial transmission: A review
    Pooja Prasad, Sanjeev Kumar Gupta, Kaushal Kumar Mahto, Gaurav Kumar, Alka Rani, Iyyappan Velan, Deepak Kumar Arya, Himmat Singh
    Journal of Vector Borne Diseases.2024; 61(2): 158.     CrossRef
  • Bayesian spatio-temporal analysis of dengue transmission in Lao PDR
    Mick Soukavong, Kavin Thinkhamrop, Khanittha Pratumchart, Chanthavy Soulaphy, Phonepadith Xangsayarath, Mayfong Mayxay, Sysavanh Phommachanh, Matthew Kelly, Kinley Wangdi, Archie C. A. Clements, Apiporn T. Suwannatrai
    Scientific Reports.2024;[Epub]     CrossRef
  • A Systematic Review on the Distribution and Density of Aedes Species in the Hindu-Kush Himalayan Countries
    Punya Ram Sukupayo, Ram Chandra Poudel, Tirth Raj Ghimire
    Indian Journal of Entomology.2024; : 1.     CrossRef
  • Effects of meteorological factors on dengue incidence in Bangkok city: a model for dengue prediction
    Wilawan Kumharn, Wittaya Piwngam, Oradee Pilahome, Waichaya Ninssawan, Yuttapichai Jankondee, Somboon Chaochaikong
    Modeling Earth Systems and Environment.2023; 9(1): 1215.     CrossRef
  • The effect of temperature on dengue virus transmission by Aedes mosquitoes
    Zhuanzhuan Liu, Qingxin Zhang, Liya Li, Junjie He, Jinyang Guo, Zichen Wang, Yige Huang, Zimeng Xi, Fei Yuan, Yiji Li, Tingting Li
    Frontiers in Cellular and Infection Microbiology.2023;[Epub]     CrossRef
  • A retrospective study of environmental predictors of dengue in Delhi from 2015 to 2018 using the generalized linear model
    Poornima Suryanath Singh, Himanshu K. Chaturvedi
    Scientific Reports.2022;[Epub]     CrossRef
  • The application of geographic information system for dengue epidemic in Southeast Asia: A review on trends and opportunity
    Cipta Estri Sekarrini, Sumarmi, Syamsul Bachri, Didik Taryana, Eggy Arya Giofandi
    Journal of Public Health Research.2022; 11(3): 227990362211041.     CrossRef
  • Application of time series methods for dengue cases in North India (Chandigarh)
    Kumar Shashvat, Rikmantra Basu, Amol P. Bhondekar
    Journal of Public Health.2021; 29(2): 433.     CrossRef
  • Learning from panel data of dengue incidence and meteorological factors in Jakarta, Indonesia
    Karunia Putra Wijaya, Dipo Aldila, K. K. W. Hashita Erandi, Muhammad Fakhruddin, Miracle Amadi, Naleen Ganegoda
    Stochastic Environmental Research and Risk Assessment.2021; 35(2): 437.     CrossRef
  • Dengue risk assessment using multicriteria decision analysis: A case study of Bhutan
    Tsheten Tsheten, Archie C. A. Clements, Darren J. Gray, Kinley Wangdi, Elvina Viennet
    PLOS Neglected Tropical Diseases.2021; 15(2): e0009021.     CrossRef
  • Co-Circulation of All Four Dengue Viruses and Zika Virus in Guerrero, Mexico, 2019
    Daniel Nunez-Avellaneda, Chandra Tangudu, Jacqueline Barrios-Palacios, Carlos Machain-Williams, Luz del Carmen Alarcón-Romero, Ma Isabel Zubillaga-Guerrero, Salatiel Nunez-Avellaneda, Lauren A. McKeen, Israel Canche-Aguilar, Laura Loaeza-Díaz, Bradley J.
    Vector-Borne and Zoonotic Diseases.2021; 21(6): 458.     CrossRef
  • Development and Comparison of Dengue Vulnerability Indices Using GIS-Based Multi-Criteria Decision Analysis in Lao PDR and Thailand
    Sumaira Zafar, Oleg Shipin, Richard E. Paul, Joacim Rocklöv, Ubydul Haque, Md. Siddikur Rahman, Mayfong Mayxay, Chamsai Pientong, Sirinart Aromseree, Petchaboon Poolphol, Tiengkham Pongvongsa, Nanthasane Vannavong, Hans J. Overgaard
    International Journal of Environmental Research and Public Health.2021; 18(17): 9421.     CrossRef
  • Spatial and temporal patterns of dengue incidence in Bhutan: a Bayesian analysis
    Tsheten Tsheten, Archie C.A. Clements, Darren J. Gray, Sonam Wangchuk, Kinley Wangdi
    Emerging Microbes & Infections.2020; 9(1): 1360.     CrossRef
  • Real-time dengue forecast for outbreak alerts in Southern Taiwan
    Yu-Chieh Cheng, Fang-Jing Lee, Ya-Ting Hsu, Eric V. Slud, Chao A. Hsiung, Chun-Hong Chen, Ching-Len Liao, Tzai-Hung Wen, Chiu-Wen Chang, Jui-Hun Chang, Hsiao-Yu Wu, Te-Pin Chang, Pei-Sheng Lin, Hui-Pin Ho, Wen-Feng Hung, Jing-Dong Chou, Hsiao-Hui Tsou, Da
    PLOS Neglected Tropical Diseases.2020; 14(7): e0008434.     CrossRef
  • Forecasting Zoonotic Infectious Disease Response to Climate Change: Mosquito Vectors and a Changing Environment
    Andrew W. Bartlow, Carrie Manore, Chonggang Xu, Kimberly A. Kaufeld, Sara Del Valle, Amanda Ziemann, Geoffrey Fairchild, Jeanne M. Fair
    Veterinary Sciences.2019; 6(2): 40.     CrossRef
  • Forest cover and climate as potential drivers for dengue fever in Sumatra and Kalimantan 2006–2016: a spatiotemporal analysis
    Zida Husnina, Archie C. A. Clements, Kinley Wangdi
    Tropical Medicine & International Health.2019; 24(7): 888.     CrossRef
  • Spatiotemporal analysis of historical records (2001–2012) on dengue fever in Vietnam and development of a statistical model for forecasting risk
    Bernard Bett, Delia Grace, Hu Suk Lee, Johanna Lindahl, Hung Nguyen-Viet, Pham-Duc Phuc, Nguyen Huu Quyen, Tran Anh Tu, Tran Dac Phu, Dang Quang Tan, Vu Sinh Nam, Tzai-Hung Wen
    PLOS ONE.2019; 14(11): e0224353.     CrossRef
  • Factors determining dengue outbreak in Malaysia
    Rohani Ahmad, Ismail Suzilah, Wan Mohamad Ali Wan Najdah, Omar Topek, Ibrahim Mustafakamal, Han Lim Lee, Jiang-Shiou Hwang
    PLOS ONE.2018; 13(2): e0193326.     CrossRef
  • Developing a dengue forecast model using machine learning: A case study in China
    Pi Guo, Tao Liu, Qin Zhang, Li Wang, Jianpeng Xiao, Qingying Zhang, Ganfeng Luo, Zhihao Li, Jianfeng He, Yonghui Zhang, Wenjun Ma, Benjamin Althouse
    PLOS Neglected Tropical Diseases.2017; 11(10): e0005973.     CrossRef
Epidemiol Health : Epidemiology and Health
© Korean Society of Epidemiology.
TOP