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Study on the Behavior of Dengue Viruses during Outbreaks with Reference to Entomological and Laboratory Surveillance in the Cuddalore, Nagapattinam, and Tirunelveli Districts of Tamil Nadu, India
Parasuraman Basker, Karumana Gounder Kolandaswamy
Osong Public Health Res Perspect. 2015;6(3):143-158.   Published online June 30, 2015
DOI: https://doi.org/10.1016/j.phrp.2015.05.001
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  • 30 Download
  • 6 Crossref
AbstractAbstract PDF
Objectives
This study was carried out in order to understand the behavior of dengue viruses through the entomological and laboratory surveillance of outbreaks. The aim of the study was to provide additional research to support current knowledge of epidemiological, clinical, and laboratory diagnosis of dengue virus and ultimately to use this information to forecast dengue as well as to justify intervention measures.
Methods
Data on the presence of Aedes larvae in human dwellings during the entomological surveillance in Cuddalore, Nagapattinam, and Tirunelveli dengue outbreaks were taken to compute indices, namely the House Index (HI), Container index (CI), and the Breteau Index (BI). Standard procedures were followed for nonstructural Protein 1 (NS1) and immunoglobulin M enzyme linked immunosorbent assay for the confirmation of dengue. Serovar confirmation was made in the Kottayam field station of the Vector Control Research Center, Puducherry.
Results
Larval indices HI < 2–3% and BI < 20 contributed to halting the outbreak. Incubation of the dengue viruses in humans was detected at 15 days, NS1 was identified as a tool for the early diagnosis of dengue cases and its presence indicated the need to implement all available interventions. It was also discovered that it is helpful to search for hidden habitats of Aedes when dengue cases have not been reduced even after the sustainable management of the larval indices, HI < 5% and BI < 20. Based on the observed incidences of stopping dengue outbreaks, it was learnt that neighborhood areas of the outbreak villages, around 400 m, should have permissible larval indices < 5% HI and BI < 20. Heterogeneous serovars that led to dengue hemorrhagic fever and Dengue Shock Syndrome (DSS) were identified using reverse transcription polymerase chain reaction and reconfirmed in the field as DEN-1 and DEN-3 viruses and were circulating in Tirunelveli during the outbreak.
Conclusion
The behaviors of dengue viruses experienced in experimental, clinical, epidemiological, entomological, and laboratory surveillance did not deviate from observations in the field during dengue outbreaks in the Cuddalore, Nagapattinam, and Tirunelveli districts of Tamil Nadu, India.

Citations

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    Vindhya S. Aryaprema, Madeline R. Steck, Steven T. Peper, Rui-de Xue, Whitney A. Qualls, Olaf Horstick
    PLOS Neglected Tropical Diseases.2023; 17(3): e0011173.     CrossRef
  • Application of Nanomaterials in the Field of New Energy Environment and Economic Benefit Analysis
    Shuai Xu, Haoying An, Jiahai Dai, Haichang Zhang
    Advances in Materials Science and Engineering.2022; 2022: 1.     CrossRef
  • A study on stegomyia indices in dengue control: a fuzzy approach
    Sayani Adak, Soovoojeet Jana
    Soft Computing.2021; 25(1): 699.     CrossRef
  • Epidemiology and challenges of dengue surveillance in the WHO South-East Asia Region
    Tsheten Tsheten, Darren J Gray, Archie C A Clements, Kinley Wangdi
    Transactions of The Royal Society of Tropical Medi.2021; 115(6): 583.     CrossRef
  • Assessing the interplay between dengue incidence and weather in Jakarta via a clustering integrated multiple regression model
    Muhammad Fakhruddin, Prama Setia Putra, Karunia Putra Wijaya, Ardhasena Sopaheluwakan, Ratna Satyaningsih, Kurnia Endah Komalasari, Mamenun, Sumiati, Sapto Wahyu Indratno, Nuning Nuraini, Thomas Götz, Edy Soewono
    Ecological Complexity.2019; 39: 100768.     CrossRef
  • Emergence of Dengue Virus 4 as the Predominant Serotype during the Outbreak of 2017 in South India
    P.Ferdinamarie Sharmila, K. Vanathy, Barathidasan Rajamani, Venkatesh Kaliaperumal, Rahul Dhodapkar
    Indian Journal of Medical Microbiology.2019; 37(3): 393.     CrossRef
Study on the Prevalence of Leptospirosis among Fever Cases Reported from Private Clinics in the Urban areas of Villupuram District, Tamil Nadu, India
Parasuraman Basker, Pichai Kannan, Karumana Gounder Kolandaswamy
Osong Public Health Res Perspect. 2014;5(1):54-67.   Published online February 28, 2014
DOI: https://doi.org/10.1016/j.phrp.2014.01.003
  • 3,300 View
  • 29 Download
  • 3 Crossref
AbstractAbstract PDF
Objectives
To know the prevalence of leptospirosis cases reported in private clinics among fever cases in Villupuram District, Tamil Nadu, India to know its real magnitude of the problem and to diagnose Leptospirosis among fever cases from differential diagnosis.
Methods
1502 Blood serum samples collected from three urban towns namely Kallakurichi (Latitude: 11° 73′ N; Longitude: 78° 97′ E), Villupuram (Latitude: 11° 75′ N; Longitude: 79° 92′ E) and Thindivanam (Latitude: 12° 25′ N; Longitude: 79° 65′ E) in fifteen clinics based on case definition of leptospirosis delineated by the National Vector Borne Disease Control Programme (NVBDCP), Government of India. Samples were tested in the laboratory of the Zonal Entomological Team (ZET), Cuddalore with Macroscopic Slide Agglutination Test (MSAT) and Ig-M ELISA.
Result
There were 65 positive cases detected from 1502 blood serum samples in both MSAT and Ig-M ELISA. It could be known that there was 4% cases contributed from private clinics among fever cases. From this study, further it was known that all age groups of people affected irrespective of sexes based on their living condition associated with the environment prevailed of the disease.
Conclusion
From this study, it was quantified that 4% of cases reported in private clinics among fever cases and its findings ascertained both the importance of differential diagnosis as well as reports that should be included to the Government for knowing its real magnitude for planning.

Citations

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  • Seroprevalence of acute leptospirosis in a tertiary care hospital of western India
    Bhumika Baveja, Meghna S. Palewar, Suverna Joshi, Rajesh Karyakarte
    MGM Journal of Medical Sciences.2022; 9(4): 517.     CrossRef
  • Leptospirosis in Wardha District, Central India—Analysis of hospital based surveillance data
    Pradeep Deshmukh, Rahul Narang, Jyoti Jain, Manish Jain, Kiran Pote, Pratibha Narang, R.Vimal Raj, Praveen Kumar, Paluru Vijayachari
    Clinical Epidemiology and Global Health.2019; 7(1): 102.     CrossRef
  • Effects of gamma radiation exposure on PANI-Fe(X) -Ni(1−X) (X = 0.2,0.4,0.6,0.8) nanocomposite thin film for Leptospira detection
    Huda Abdullah, Jamal Jurait, Ravinder Singh Sidhu Amrik Singh, Iskandar Yahya, Siti Khairani Bejo
    Materials Research Express.2018; 6(2): 026507.     CrossRef
Study on Entomological Surveillance and its Significance during a Dengue Outbreak in the District of Tirunelveli in Tamil Nadu, India
Parasuraman Basker, Pichai Kannan, Rajagopal Thirugnanasambandam Porkaipandian, Sivsankaran Saravanan, Subramaniam Sridharan, Mahaligam Kadhiresan
Osong Public Health Res Perspect. 2013;4(3):152-158.   Published online June 30, 2013
DOI: https://doi.org/10.1016/j.phrp.2013.04.005
  • 3,623 View
  • 23 Download
  • 7 Crossref
AbstractAbstract PDF
Objectives
To study the significance of entomological surveillance, the house index (HI), container index (CI), and Breteau index (BI) were determined to estimate the degree of a major dengue outbreak in Tirunelveli, Tamil Nadu, India (Latitude: 8°42′N; Longitude: 77°42′E) in May 2012.
Methods
The HI, CI, and BI were determined in a primary health center (PHC) in the village of Maruthamputhur (Pappakudi taluk, Tirunelveli) by carrying out an antilarval (AL) work that involved door-to-door search for immature stages of Aedes spp. mosquitoes by trained field workers and volunteers. The work of field workers was evaluated by a junior and senior entomologist the following day.
Results
Before the AL work, the reported numbers of fever cases from Week 1 to 5 in Maruthamputhur were 211, 394, 244, 222, and 144 with two deaths. By contrast, after the AL work, these numbers were considerably reduced and there was no fever-related death (the HI was reduced from 48.2% to 1.6%, the CI from 28.6% to 0.4%, and the BI from 48.2 to 1.6).
Conclusion
Because no specific medicine and vaccines are available to treat dengue fever and dengue hemorrhagic fever, entomological surveillance and its significance can be used to halt the outbreak of dengue as shown in this study.

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    Siraj Ahmed Khan, Smita Bordoloi, Anisha Shah, Subrata Baidya
    Journal of Vector Borne Diseases.2024; 61(1): 101.     CrossRef
  • Acarological Risk of Infection with Borrelia burgdorferi, the Lyme Disease Agent, in Staten Island, New York City
    Liyang Zhou, Leonid Tsynman, Kamesan Kanapathipillai, Zahir Shah, Waheed Bajwa
    Arthropoda.2024; 2(3): 181.     CrossRef
  • Morphological and molecular characterization of Aedes aegypti variant collected from Tamil Nadu, India
    Nirmal P Kumar, M Kalimuthu, M Senthil Kumar, R Govindrajan, A Venkatesh, R Paramasivan, Ashwani Kumar, Bhavna Gupta
    Journal of Vector Borne Diseases.2022; 59(1): 22.     CrossRef
  • Larval survey and spatial epidemiological analysis of vector Aedes aegypti to study the risk of dengue outbreak in India
    A. Sajeli Begum, Swati Alok, Samrun Nessa
    GeoJournal.2021; 86(1): 81.     CrossRef
  • Estimating the annual dengue force of infection from the age of reporting primary infections across urban centres in endemic countries
    Joseph R. Biggs, Ava Kristy Sy, Katharine Sherratt, Oliver J. Brady, Adam J. Kucharski, Sebastian Funk, Mary Anne Joy Reyes, Mary Ann Quinones, William Jones-Warner, Ferchito L. Avelino, Nemia L. Sucaldito, Amado O. Tandoc, Eva Cutiongco-de la Paz, Maria
    BMC Medicine.2021;[Epub]     CrossRef
  • Comparison of INAR(1)-Poisson model and Markov prediction model in forecasting the number of DHF patients in west java Indonesia
    Atina Ahdika, Novyan Lusiyana
    Journal of Physics: Conference Series.2017; 814: 012002.     CrossRef
  • Identification of Aedes albopictus larval index thresholds in the transmission of dengue in Guangzhou, China
    Lei Luo, Xiaoning Li, Xincai Xiao, Ya Xu, Miaoling Huang, Zhicong Yang
    Journal of Vector Ecology.2015; 40(2): 240.     CrossRef
Article
Study on the Correlation of Premises Condition Index and the Presence of Larvae of Aedes Species Mosquitoes in Human Dwellings of the Cuddalore District of Tamil Nadu, India
Parasuraman Basker, Radhakrishnan Ezhil
Osong Public Health Res Perspect. 2012;3(1):3-7.   Published online December 31, 2011
DOI: https://doi.org/10.1016/j.phrp.2011.11.046
  • 3,258 View
  • 19 Download
  • 5 Crossref
AbstractAbstract PDF
Conclusions It is concluded that this study helps in conducting rapid survey to identify the presence of Aedes larvae with a minimum number of staff for both inspection and treatment of Aedes larvae during the epidemic situation. Objectives To predict dwellings for the presence of Aedes larvae rapidly based on Premises Condition Index (PCI) factors, we studied the possible presence of Aedes species mosquitoes larvae among houses in the Chidambaram urban of Cuddalore District in Tamil Nadu, India based on the scores of variables in PCI, namely House, Yard and degree of shadow. Data of these variables were collected in September and October 2006 from 1813 houses in the Chidambaram urban area during the intensive vector control activities employed for the prevention and control of Chikungunya.
Methods
The association between presence of larvae and the variables of PCI was tested by Chi-square and Correlation. The predictability of the presence of Aedes larvae based on PCI factors was computed by logistic regression.
Results
The study shows 301 containers in 132 houses were found positive with Aedes species out of 1813 houses surveyed. It was further observed that the probability of presence of positive premises was four times higher in the premises with 75% shadow compared with premises with a 25% shadow. These findings showed a significant association (p < 0.001) with positive premises.

Citations

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  • Source reduction with a purpose: Mosquito ecology and community perspectives offer insights for improving household mosquito management in coastal Kenya
    Jenna E. Forsyth, Francis M. Mutuku, Lydiah Kibe, Luti Mwashee, Joyce Bongo, Chika Egemba, Nicole M. Ardoin, A. Desiree LaBeaud, Roberto Barrera
    PLOS Neglected Tropical Diseases.2020; 14(5): e0008239.     CrossRef
  • Ability of the Premise Condition Index to Identify Premises with Adult and Immature Aedes Mosquitoes in Kampong Cham, Cambodia
    John Hustedt, Dyna Doum, Vanney Keo, Sokha Ly, BunLeng Sam, Vibol Chan, Sebastien Boyer, Marco Liverani, Neal Alexander, John Bradley, Didot Budi Prasetyo, Agus Rachmat, Sergio Lopes, Rithea Leang, Jeffrey Hii
    The American Journal of Tropical Medicine and Hyg.2020; 102(6): 1432.     CrossRef
  • Pitch and Flat Roof Factors’ Association with Spatiotemporal Patterns of Dengue Disease Analysed Using Pan-Sharpened Worldview 2 Imagery
    Fedri Rinawan, Ryutaro Tateishi, Ardini Raksanagara, Dwi Agustian, Bayan Alsaaideh, Yessika Natalia, Ahyani Raksanagara
    ISPRS International Journal of Geo-Information.2015; 4(4): 2586.     CrossRef
  • Study on Entomological Surveillance and its Significance during a Dengue Outbreak in the District of Tirunelveli in Tamil Nadu, India
    Parasuraman Basker, Pichai Kannan, Rajagopal Thirugnanasambandam Porkaipandian, Sivsankaran Saravanan, Subramaniam Sridharan, Mahaligam Kadhiresan
    Osong Public Health and Research Perspectives.2013; 4(3): 152.     CrossRef
  • The Risk ofAedes aegyptiBreeding and Premises Condition in South Mexico
    Pablo Manrique-Saide, Clive R Davies, Paul G Coleman, Azael Che-Mendoza, Felipe Dzul-Manzanilla, Mario Barrera-Pérez, Silvia Hernández-Betancourt, Guadalupe Ayora-Talavera, Miguel Pinkus-Rendón, Pierre Burciaga-Zúñiga, Gustavo Sánchez Tejeda, Juan I Arred
    Journal of the American Mosquito Control Associati.2013; 29(4): 337.     CrossRef

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