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Thangaraj JWV, Prosperi C, Kumar MS, Hasan AZ, Kumar VS, Winter AK, Bansal AK, Chauhan SL, Grover GS, Jain AK, Kulkarni RN, Sharma SK, Soman B, Chaaithanya IK, Kharwal S, Mishra SK, Salvi NR, Sarmah NP, Sharma S, Varghese A, Sabarinathan R, Duraiswamy A, Rani DS, Kanagasabai K, Lachyan A, Gawali P, Kapoor M, Chonker SK, Sangal L, Mehendale SM, Sapkal GN, Gupta N, Hayford K, Moss WJ, Murherkar MV. Post-campaign coverage evaluation of a measles and rubella supplementary immunization activity in five districts in India, 2019-2020. PLoS One 2024; 19:e0297385. [PMID: 38551928 PMCID: PMC10980234 DOI: 10.1371/journal.pone.0297385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 01/04/2024] [Indexed: 04/01/2024] Open
Abstract
BACKGROUND In alignment with the Measles and Rubella (MR) Strategic Elimination plan, India conducted a mass measles and rubella vaccination campaign across the country between 2017 and 2020 to provide a dose of MR containing vaccine to all children aged 9 months to 15 years. We estimated campaign vaccination coverage in five districts in India and assessed campaign awareness and factors associated with vaccination during the campaign to better understand reasons for not receiving the dose. METHODS AND FINDINGS Community-based cross-sectional serosurveys were conducted in five districts of India among children aged 9 months to 15 years after the vaccination campaign. Campaign coverage was estimated based on home-based immunization record or caregiver recall. Campaign coverage was stratified by child- and household-level risk factors and descriptive analyses were performed to assess reasons for not receiving the campaign dose. Three thousand three hundred and fifty-seven children aged 9 months to 15 years at the time of the campaign were enrolled. Campaign coverage among children aged 9 months to 5 years documented or by recall ranged from 74.2% in Kanpur Nagar District to 90.4% in Dibrugarh District, Assam. Similar coverage was observed for older children. Caregiver awareness of the campaign varied from 88.3% in Hoshiarpur District, Punjab to 97.6% in Dibrugarh District, Assam, although 8% of children whose caregivers were aware of the campaign were not vaccinated during the campaign. Failure to receive the campaign dose was associated with urban settings, low maternal education, and lack of school attendance although the associations varied by district. CONCLUSION Awareness of the MR vaccination campaign was high; however, campaign coverage varied by district and did not reach the elimination target of 95% coverage in any of the districts studied. Areas with lower coverage among younger children must be prioritized by strengthening the routine immunization programme and implementing strategies to identify and reach under-vaccinated children.
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Affiliation(s)
| | - Christine Prosperi
- Department of International Health, International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Muthusamy Santhosh Kumar
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Epidemiology Chennai, Chennai, India
| | - Alvira Z. Hasan
- Department of International Health, International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - V. Saravana Kumar
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Epidemiology Chennai, Chennai, India
| | - Amy K. Winter
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Avi Kumar Bansal
- ICMR-National JALMA Institute for Leprosy & Other Mycobacterial Diseases, Agra, India
| | - Sanjay L. Chauhan
- ICMR- National Institute for Research in Reproductive and Child Health, Mumbai, India
| | | | | | - Ragini N. Kulkarni
- ICMR- National Institute for Research in Reproductive and Child Health, Mumbai, India
| | | | - Biju Soman
- Sree Chitra Tirunal Institute for Medical Sciences and Technology, Achutha Menon Centre for Health Science Studies, Trivandrum, Kerala, India
| | - Itta K. Chaaithanya
- Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | - Sanchit Kharwal
- Department of Health Research, Model Rural Health Research Unit-Hoshiarpur, Punjab, India
| | - Sunil K. Mishra
- Department of Health Research, Model Rural Health Research Unit-Hoshiarpur, Punjab, India
| | - Neha R. Salvi
- Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | - Nilanju P. Sarmah
- Department of Health Research, Model Rural Health Research Unit-Chabua, Assam, India
| | - Sandeep Sharma
- ICMR-National JALMA Institute for Leprosy & Other Mycobacterial Diseases, Agra, India
| | - Adarsh Varghese
- Sree Chitra Tirunal Institute for Medical Sciences and Technology, Achutha Menon Centre for Health Science Studies, Trivandrum, Kerala, India
| | - R. Sabarinathan
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Epidemiology Chennai, Chennai, India
| | - Augustine Duraiswamy
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Epidemiology Chennai, Chennai, India
| | - D. Sudha Rani
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Epidemiology Chennai, Chennai, India
| | - K. Kanagasabai
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Epidemiology Chennai, Chennai, India
| | - Abhishek Lachyan
- Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | - Poonam Gawali
- Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | - Mitali Kapoor
- Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | - Saurabh Kumar Chonker
- Department of Health Research, Model Rural Health Research Unit-Kanpur, Uttar Pradesh, India
| | - Lucky Sangal
- World Health Organization, Southeast Asia Region Office, New Delhi, India
| | | | | | - Nivedita Gupta
- Division of Epidemiology and Communicable Diseases, Indian Council of Medical Research, New Delhi, India
| | - Kyla Hayford
- Department of International Health, International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - William J. Moss
- Department of International Health, International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Manoj V. Murherkar
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Epidemiology Chennai, Chennai, India
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Prosperi C, Thangaraj J, Hasan A, Kumar M, Truelove S, Kumar V, Winter A, Bansal A, Chauhan S, Grover G, Jain A, Kulkarni R, Sharma S, Soman B, Chaaithanya I, Kharwal S, Mishra S, Salvi N, Sharma N, Sharma S, Varghese A, Sabarinathan R, Duraiswamy A, Rani D, Kanagasabai K, Lachyan A, Gawali P, Kapoor M, Chonker S, Cutts F, Sangal L, Mehendale S, Sapkal G, Gupta N, Hayford K, Moss W, Murhekar M. Added value of the measles-rubella supplementary immunization activity in reaching unvaccinated and under-vaccinated children, a cross-sectional study in five Indian districts, 2018-20. Vaccine 2023; 41:486-495. [PMID: 36481106 PMCID: PMC9831119 DOI: 10.1016/j.vaccine.2022.11.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 10/29/2022] [Accepted: 11/04/2022] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Supplementary immunization activities (SIAs) aim to interrupt measles transmission by reaching susceptible children, including children who have not received the recommended two routine doses of MCV before the SIA. However, both strategies may miss the same children if vaccine doses are highly correlated. How well SIAs reach children missed by routine immunization is a key metric in assessing the added value of SIAs. METHODS Children aged 9 months to younger than 5 years were enrolled in cross-sectional household serosurveys conducted in five districts in India following the 2017-2019 measles-rubella (MR) SIA. History of measles containing vaccine (MCV) through routine services or SIA was obtained from documents and verbal recall. Receipt of a first or second MCV dose during the SIA was categorized as "added value" of the SIA in reaching un- and under-vaccinated children. RESULTS A total of 1,675 children were enrolled in these post-SIA surveys. The percentage of children receiving a 1st or 2nd dose through the SIA ranged from 12.8% in Thiruvananthapuram District to 48.6% in Dibrugarh District. Although the number of zero-dose children prior to the SIA was small in most sites, the proportion reached by the SIA ranged from 45.8% in Thiruvananthapuram District to 94.9% in Dibrugarh District. Fewer than 7% of children remained measles zero-dose after the MR SIA (range: 1.1-6.4%) compared to up to 28% before the SIA (range: 7.3-28.1%). DISCUSSION We demonstrated the MR SIA provided considerable added value in terms of measles vaccination coverage, although there was variability across districts due to differences in routine and SIA coverage, and which children were reached by the SIA. Metrics evaluating the added value of an SIA can help to inform the design of vaccination strategies to better reach zero-dose or undervaccinated children.
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Affiliation(s)
- C. Prosperi
- International Vaccine Access Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - J.W.V. Thangaraj
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Chennai, India
| | - A.Z. Hasan
- International Vaccine Access Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - M.S. Kumar
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Chennai, India
| | - S. Truelove
- International Vaccine Access Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - V.S. Kumar
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Chennai, India
| | - A.K. Winter
- International Vaccine Access Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - A.K. Bansal
- ICMR-National JALMA Institute for Leprosy & Other Mycobacterial Diseases, Agra, India
| | - S.L. Chauhan
- ICMR- National Institute for Research in Reproductive and Child Health (NIRRCH), Mumbai, India
| | - G.S. Grover
- Directorate of Health Services, Government of Punjab, Chandigarh, India
| | - A.K. Jain
- ICMR-National Institute of Pathology, New Delhi, India
| | - R.N. Kulkarni
- ICMR- National Institute for Research in Reproductive and Child Health (NIRRCH), Mumbai, India
| | - S.K. Sharma
- ICMR-Regional Medical Research Centre, NE Region, Dibrugarh, India
| | - B. Soman
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | - I.K. Chaaithanya
- Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | - S. Kharwal
- Department of Health Research, Model Rural Health Research Unit-Hoshiarpur, Punjab, India
| | - S.K. Mishra
- Department of Health Research, Model Rural Health Research Unit-Hoshiarpur, Punjab, India
| | - N.R. Salvi
- Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | - N.P. Sharma
- Department of Health Research, Model Rural Health Research Unit-Chabua, Assam, India
| | - S. Sharma
- Department of Health Research, Model Rural Health Research Unit-Kanpur, Uttar Pradesh, India
| | - A. Varghese
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | - R. Sabarinathan
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Chennai, India
| | - A. Duraiswamy
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Chennai, India
| | - D.S. Rani
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Chennai, India
| | - K. Kanagasabai
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Chennai, India
| | - A. Lachyan
- Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | - P. Gawali
- Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | - M. Kapoor
- Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | - S.K. Chonker
- Department of Health Research, Model Rural Health Research Unit-Kanpur, Uttar Pradesh, India
| | - F.T. Cutts
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - L. Sangal
- World Health Organization, Southeast Asia Region Office, New Delhi, India
| | - S.M. Mehendale
- PD Hinduja Hospital and Medical Research Centre, Mumbai, India
| | - G.N. Sapkal
- ICMR-National Institute of Virology, Pune, India
| | - N. Gupta
- Division of Epidemiology and Communicable Diseases, Indian Council of Medical Research, New Delhi, India
| | - K. Hayford
- International Vaccine Access Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - W.J. Moss
- International Vaccine Access Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Corresponding author at: International Vaccine Access Center, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
| | - M.V. Murhekar
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Chennai, India
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Murhekar MV, Gupta N, Hasan AZ, Kumar MS, Kumar VS, Prosperi C, Sapkal GN, Thangaraj JWV, Kaduskar O, Bhatt V, Deshpande GR, Thankappan UP, Bansal AK, Chauhan SL, Grover GS, Jain AK, Kulkarni RN, Sharma SK, Chaaithanya IK, Kharwal S, Mishra SK, Salvi NR, Sharma S, Sarmah NP, Sabarinathan R, Duraiswamy A, Rani DS, Kanagasabai K, Lachyan A, Gawali P, Kapoor M, Shrivastava AK, Chonker SK, Tilekar B, Tandale BV, Ahmad M, Sangal L, Winter A, Mehendale SM, Moss WJ, Hayford K. Evaluating the effect of measles and rubella mass vaccination campaigns on seroprevalence in India: a before-and-after cross-sectional household serosurvey in four districts, 2018-2020. Lancet Glob Health 2022; 10:e1655-e1664. [PMID: 36240831 PMCID: PMC9579355 DOI: 10.1016/s2214-109x(22)00379-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 07/14/2022] [Accepted: 08/19/2022] [Indexed: 11/07/2022]
Abstract
Background India did phased measles–rubella supplementary immunisation activities (MR-SIAs; ie, mass-immunisation campaigns) targeting children aged 9 months to less than 15 years. We estimated measles–rubella seroprevalence before and after the MR-SIAs to quantify the effect on population immunity and identify remaining immunity gaps. Methods Between March 9, 2018 and March 19, 2020 we did community-based, cross-sectional serosurveys in four districts in India before and after MR-SIAs. 30 villages or wards were selected within each district, and one census enumeration block from each was selected as the survey cluster. Households were enumerated and 13 children in the younger age group (9 months to <5 years) and 13 children in the older ager group (5 to <15 years) were randomly selected by use of computer-generated random numbers. Serum samples were tested for IgG antibodies to measles and rubella viruses by enzyme immunoassay. Findings Specimens were collected from 2570 children before the MR-SIA and from 2619 children afterwards. The weighted MR-SIA coverage ranged from 73·7% to 90·5% in younger children and from 73·6% to 93·6% in older children. Before the MR-SIA, district-level measles seroprevalence was between 80·7% and 88·5% among younger children in all districts, and between 63·4% and 84·5% among older children. After the MR-SIA, measles seroprevalence among younger children increased to more than 90% (range 91·5 to 96·0) in all districts except Kanpur Nagar, in which it remained unchanged 80·4%. Among older children, measles seroprevalence increased to more than 90·0% (range 93·7% to 96·5%) in all districts except Hoshiarpur (88·7%). A significant increase in rubella seroprevalence was observed in all districts in both age groups, with the largest effect in Dibrugarh, where rubella seroprevalence increased from 10·6% to 96·5% among younger children. Interpretation Measles–rubella seroprevalence increased substantially after the MR-SIAs but the serosurvey also identified remaining gaps in population immunity. Funding The Bill & Melinda Gates Foundation and Indian Council of Medical Research.
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Affiliation(s)
- Manoj V Murhekar
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Chennai, India,Correspondence to: Dr Manoj V Murhekar, ICMR-National Institute of Epidemiology, Tamil Nadu Housing Board, Ayapakkam, Ambattur, Chennai 600 070, India
| | - Nivedita Gupta
- Division of Epidemiology and Communicable Diseases, Indian Council of Medical Research, New Delhi, India
| | - Alvira Z Hasan
- International Vaccine Access Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - V Saravana Kumar
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Chennai, India
| | - Christine Prosperi
- International Vaccine Access Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | | | | | | | | | - Avi Kumar Bansal
- ICMR-National JALMA Institute for Leprosy & Other Mycobacterial Diseases, Agra, India
| | - Sanjay L Chauhan
- ICMR- National Institute for Research in Reproductive and Child Health, Mumbai, India
| | | | | | - Ragini N Kulkarni
- ICMR- National Institute for Research in Reproductive and Child Health, Mumbai, India
| | | | - Itta K Chaaithanya
- ICMR- National Institute for Research in Reproductive and Child Health, Mumbai, India,Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | - Sanchit Kharwal
- Department of Health Research, Model Rural Health Research Unit-Hoshiarpur, Punjab, India
| | - Sunil K Mishra
- Department of Health Research, Model Rural Health Research Unit-Hoshiarpur, Punjab, India
| | - Neha R Salvi
- Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | - Sandeep Sharma
- ICMR-National JALMA Institute for Leprosy & Other Mycobacterial Diseases, Agra, India
| | - Nilanju P Sarmah
- Department of Health Research, Model Rural Health Research Unit-Chabua, Assam, India
| | - R Sabarinathan
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Chennai, India
| | - Augustine Duraiswamy
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Chennai, India
| | - D Sudha Rani
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Chennai, India
| | - K Kanagasabai
- Indian Council of Medical Research (ICMR)-National Institute of Epidemiology, Chennai, India
| | - Abhishek Lachyan
- Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | - Poonam Gawali
- Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | - Mitali Kapoor
- Department of Health Research, Model Rural Health Research Unit-Dahanu, Maharashtra, India
| | | | - Saurabh Kumar Chonker
- ICMR-National JALMA Institute for Leprosy & Other Mycobacterial Diseases, Agra, India
| | | | | | | | - Lucky Sangal
- WHO, Southeast Asia Region Office, New Delhi, India
| | - Amy Winter
- International Vaccine Access Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Department of Epidemiology and Statistics, University of Georgia, Athens, GA, USA
| | | | - William J Moss
- International Vaccine Access Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kyla Hayford
- International Vaccine Access Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Kanagasabai K. Ultrasound of Median Nerve in the Diagnosis of Carpal Tunnel Syndrome—Correlation with Electrophysiological Studies. Indian J Radiol Imaging 2022; 32:16-29. [PMID: 35722647 PMCID: PMC9203152 DOI: 10.1055/s-0041-1741088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy caused by impairment of the median nerve due to compression as it passes through the carpal tunnel. The current gold standard in diagnosing CTS and nerve damage is by electrophysiological nerve conduction study (NCS). However, 10 to 25% of NCS results are falsely negative. Moreover, NCS remains an expensive and time-consuming procedure for patients. Ultrasonography serves as a real-time, well-tolerated, portable, and noninvasive tool for assessing the carpal tunnel. This study aims to assess the role of high-frequency ultrasound of the median nerve at the wrist in evaluating CTS and correlate with NCS to determine whether sonography can be used as an alternative to NCS in diagnosing and grading CTS.
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Affiliation(s)
- K. Kanagasabai
- Department of Radiology, Kauvery Hospital, Chennai, Tamil Nadu, India
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Joshua V, Kanagasabai K, Sabarinathan R, Ravi M, Kirubakaran BK, Ramachandran V, Shete V, Gowri AK, Murhekar MV. Space time analysis of dengue fever diagnosed through a network of laboratories in India from 2014-2017. J Vector Borne Dis 2020; 57:221-225. [PMID: 34472505 DOI: 10.4103/0972-9062.311774] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND & OBJECTIVES The Department of Health Research and the Indian Council of Medical Research, Government of India, have established Virus Research and Diagnostic Laboratory Network (VRDLN) to strengthen the laboratory capacity in the country for providing timely diagnosis of disease outbreaks. Fifty-one VRDLs were functional as on December 2017 and had reported about dengue fever across Indian states. The objectives of the study were to detect space time clusters and purely temporal clusters of dengue using Kulldorff's SaTScan statistics using patient level information; and to identify regions at greater risk of developing the disease using Kriging technique aggregating at district level. METHODS A total of 211,432 patients from 51 VRDLs were investigated for IgM antibodies or NS1 antigen against dengue virus during the period from 1 January 2014 to 31 December 2017 and among them 60,096 (28.4%) were found to be positive. Kulldorff's space time analysis was used to identify significant clusters over space and time. Kriging technique was used to interpolate dengue data for areas not physically sampled using the relationship in the spatial arrangement of the data set. Maps obtained using both the methods were overlaid to identify the regions at greater risk of developing the disease. RESULTS Kulldorff Space time Scan Statistics using the Bernoulli model with monthly precision revealed eight statistically significant clusters (P <0.001) for the time period, 1 January 2014 to 31 December 2017. Eight significant clusters identified were districts of Nagpur, Jhunjhunu, Gadag, Dakshin Kannada, Kancheepuram, Sivaganga, Ernakulam and Malda. The purely temporal clusters occurred during the last quarter of 2015 and 2016. The Kriging technique identified north eastern part of the country (Arunachal Pradesh, Nagaland and Manipur) and Gujarat. INTERPRETATION & CONCLUSION Dengue fever has spread in all directions in the country. Hence, it is need of the hour to perform an in-depth investigation.
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Affiliation(s)
- Vasna Joshua
- ICMR-National Institute of Epidemiology, Chennai, India
| | - K Kanagasabai
- ICMR-National Institute of Epidemiology, Chennai, India
| | | | - M Ravi
- ICMR-National Institute of Epidemiology, Chennai, India
| | | | | | - Vishal Shete
- ICMR-National Institute of Epidemiology, Chennai, India
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Gadabanahalli K, Bhat V, Kanagasabai K, Rao PV. Magnetic Resonance Imaging Assessment of Pre- and Post-Surgery Myocardial Changes in Hypertrophic Cardiomyopathy: Correlation with Echocardiography. J Clin Imaging Sci 2020; 10:4. [PMID: 32123618 PMCID: PMC7049884 DOI: 10.25259/jcis_162_2019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 01/22/2020] [Indexed: 11/25/2022] Open
Abstract
Hypertrophic cardiomyopathy (HCM) is a common form of cardiomyopathy and a leading cause of sudden death in the young. Magnetic resonance imaging (MRI) is an established pre-operative tool for the evaluating of patients suspected with HCM for morphological assessment and identifying patients at risk of sudden death. Echocardiography and MRI are equally used in the post-treatment assessment of cardiac function and morphology. In this report, we present the comparative role of these two modalities in pre- and post-operative imaging assessment in our patients, treated surgically with the left ventricular myomectomy. Relative merits of MRI and echocardiography are presented and discussed.
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Affiliation(s)
- Karthik Gadabanahalli
- Departments of Radiology, Narayana Health, Narayana Hrudayalaya Hospital, Bengaluru, India
| | - Venkatraman Bhat
- Departments of Radiology, Narayana Health, Narayana Hrudayalaya Hospital, Bengaluru, India
| | - K Kanagasabai
- Departments of Radiology, Narayana Health, Narayana Hrudayalaya Hospital, Bengaluru, India
| | - P V Rao
- Departments of Cardiac surgery, Narayana Health, Narayana Hrudayalaya Hospital, Bengaluru, India
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Murhekar MV, Ashok M, Kanagasabai K, Joshua V, Ravi M, Sabarinathan R, Kirubakaran BK, Ramachandran V, Shete V, Gupta N, Mehendale SM. Epidemiology of Hepatitis A and Hepatitis E Based on Laboratory Surveillance Data-India, 2014-2017. Am J Trop Med Hyg 2019; 99:1058-1061. [PMID: 30182922 DOI: 10.4269/ajtmh.18-0232] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Hepatitis A and hepatitis E viruses (HAV and HEV) are the most common etiologies of viral hepatitis in India. To better understand the epidemiology of these infections, laboratory surveillance data generated during 2014-2017, by a network of 51 virology laboratories, were analyzed. Among 24,000 patients tested for both HAV and HEV, 3,017 (12.6%) tested positive for HAV, 3,865 (16.1%) for HEV, and 320 (1.3%) for both HAV and HEV. Most (74.6%) HAV patients were aged ≤ 19 years, whereas 76.9% of HEV patients were aged ≥ 20 years. These laboratories diagnosed 12 HAV and 31 HEV clusters, highlighting the need for provision of safe drinking water and improvements in sanitation. Further expansion of the laboratory network and continued surveillance will provide data necessary for informed decision-making regarding introduction of hepatitis-A vaccine into the immunization program.
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Affiliation(s)
- Manoj V Murhekar
- National Institute of Epidemiology, Indian Council of Medical Research, Chennai, India
| | - M Ashok
- National Institute of Epidemiology, Indian Council of Medical Research, Chennai, India
| | - K Kanagasabai
- National Institute of Epidemiology, Indian Council of Medical Research, Chennai, India
| | - Vasna Joshua
- National Institute of Epidemiology, Indian Council of Medical Research, Chennai, India
| | - M Ravi
- National Institute of Epidemiology, Indian Council of Medical Research, Chennai, India
| | - R Sabarinathan
- National Institute of Epidemiology, Indian Council of Medical Research, Chennai, India
| | - B K Kirubakaran
- National Institute of Epidemiology, Indian Council of Medical Research, Chennai, India
| | - V Ramachandran
- National Institute of Epidemiology, Indian Council of Medical Research, Chennai, India
| | - Vishal Shete
- National Institute of Epidemiology, Indian Council of Medical Research, Chennai, India
| | - Nivedita Gupta
- Division of Epidemiology and Communicable Diseases, Indian Council of Medical Research, New Delhi, India
| | - Sanjay M Mehendale
- Division of Epidemiology and Communicable Diseases, Indian Council of Medical Research, New Delhi, India
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Murhekar M, Joshua V, Kanagasabai K, Shete V, Ravi M, Ramachandran R, Sabarinathan R, Kirubakaran B, Gupta N, Mehendale S. Epidemiology of dengue fever in India, based on laboratory surveillance data, 2014–2017. Int J Infect Dis 2019; 84S:S10-S14. [DOI: 10.1016/j.ijid.2019.01.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2018] [Revised: 01/05/2019] [Accepted: 01/07/2019] [Indexed: 11/17/2022] Open
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Murhekar M, Kanagasabai K, Shete V, Joshua V, Ravi M, Kirubakaran BK, Ramachandran R, Sabarinathan R, Gupta N. Epidemiology of chikungunya based on laboratory surveillance data—India, 2016–2018. Trans R Soc Trop Med Hyg 2019; 113:259-262. [DOI: 10.1093/trstmh/try141] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 11/14/2018] [Accepted: 12/14/2018] [Indexed: 11/12/2022] Open
Affiliation(s)
- Manoj Murhekar
- Indian Council of Medical Research–National Institute of Epidemiology, R127, Tamil Nadu Housing Board, Ayapakkam, Chennai, Tamil Nadu, India
| | - K Kanagasabai
- Indian Council of Medical Research–National Institute of Epidemiology, R127, Tamil Nadu Housing Board, Ayapakkam, Chennai, Tamil Nadu, India
| | - Vishal Shete
- Indian Council of Medical Research–National Institute of Epidemiology, R127, Tamil Nadu Housing Board, Ayapakkam, Chennai, Tamil Nadu, India
| | - Vasna Joshua
- Indian Council of Medical Research–National Institute of Epidemiology, R127, Tamil Nadu Housing Board, Ayapakkam, Chennai, Tamil Nadu, India
| | - M Ravi
- Indian Council of Medical Research–National Institute of Epidemiology, R127, Tamil Nadu Housing Board, Ayapakkam, Chennai, Tamil Nadu, India
| | - B K Kirubakaran
- Indian Council of Medical Research–National Institute of Epidemiology, R127, Tamil Nadu Housing Board, Ayapakkam, Chennai, Tamil Nadu, India
| | - R Ramachandran
- Indian Council of Medical Research–National Institute of Epidemiology, R127, Tamil Nadu Housing Board, Ayapakkam, Chennai, Tamil Nadu, India
| | - R Sabarinathan
- Indian Council of Medical Research–National Institute of Epidemiology, R127, Tamil Nadu Housing Board, Ayapakkam, Chennai, Tamil Nadu, India
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Murhekar MV, Kamaraj P, Kanagasabai K, Elavarasu G, Rajasekar TD, Boopathi K, Mehendale S. Coverage of childhood vaccination among children aged 12-23 months, Tamil Nadu, 2015, India. Indian J Med Res 2018; 145:377-386. [PMID: 28749402 PMCID: PMC5555068 DOI: 10.4103/ijmr.ijmr_1666_15] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background & objectives: District-Level Household Survey-4 (DLHS-4) indicated that during 2012-2013, only 56 per cent of children aged 12-23 months in Tamil Nadu were fully vaccinated, which were lesser than those reported in earlier national surveys. We, therefore, conducted cluster surveys to estimate coverage of childhood vaccination in the State, and also to identify the factors associated with low coverage. Methods: Cross-sectional surveys were conducted in 15 strata [municipal corporation non-slum (n=1), municipal corporation slum (n=1), hilly (n=1), rural (n=6) and urban (n=6)]. From each stratum, 30 clusters were selected using probability proportional to the population size linear systematic sampling; seven children aged 12-23 months were selected from each cluster and their mothers/care-takers were interviewed to collect information about vaccination status of the child. A child was considered fully vaccinated if he/she received bacillus Calmette-Guérin (BCG), three doses of pentavalent, three doses of oral polio vaccine and one dose of measles vaccine, and appropriately vaccinated if all vaccine doses were given at right age and with right interval. Further, coverage of fully vaccinated children (FVC) as per vaccination cards or mothers’ recall, validated coverage of FVC (V-FVC) among those having cards, and coverage of appropriately vaccinated children (AVC) were estimated using survey data analysis module with appropriate sampling weights. Results: A total of 3150 children were surveyed, of them 2528 (80.3%) had vaccination card. The weighted coverage of FVC, V-FVC and AVC in the State was 79.9 per cent [95% confidence interval (CI): 78.2-81.5], 78.8 per cent (95% CI: 76.9-80.5) and 69.7 per cent (95% CI: 67.7-71.7), respectively. The coverage of individual vaccine ranged between 84 per cent (measles) and 99.8 per cent (BCG). About 12 per cent V-FVC were not vaccinated as per the vaccination schedule. Interpretation & conclusions: The coverage of FVC in Tamil Nadu was high, with about 80 per cent children completing primary vaccination. Efforts to increase vaccination coverage in the State need to focus on educating vaccinators about the need to adhere to the national vaccination schedule and strengthening supervision to ensure that children are vaccinated appropriately.
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Affiliation(s)
- Manoj V Murhekar
- Department of Epidemiology, ICMR-National Institute of Epidemiology, Chennai, India
| | - P Kamaraj
- Department of Epidemiology, ICMR-National Institute of Epidemiology, Chennai, India
| | - K Kanagasabai
- Department of Epidemiology, ICMR-National Institute of Epidemiology, Chennai, India
| | - G Elavarasu
- Department of Epidemiology, ICMR-National Institute of Epidemiology, Chennai, India
| | - T Daniel Rajasekar
- Department of Epidemiology, ICMR-National Institute of Epidemiology, Chennai, India
| | - K Boopathi
- Department of Epidemiology, ICMR-National Institute of Epidemiology, Chennai, India
| | - Sanjay Mehendale
- Department of Epidemiology, ICMR-National Institute of Epidemiology, Chennai, India
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Murhekar MV, Oak C, Ranjan P, Kanagasabai K, Shinde S, Pandey AK, Mittal M, Gore M, Mehendale SM. Coverage & missed opportunity for Japanese encephalitis vaccine, Gorakhpur division, Uttar Pradesh, India, 2015: Implications for Japanese encephalitis control. Indian J Med Res 2018; 145:63-69. [PMID: 28574016 PMCID: PMC5460575 DOI: 10.4103/ijmr.ijmr_712_16] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background & objectives: Japanese encephalitis (JE) is an important aetiology of acute encephalitis syndrome in Gorakhpur division, Uttar Pradesh, India. Two doses of JE vaccine (first during 9-12 months and second during 16-24 months of age) are administered under the Universal Immunization Programme. We conducted surveys to estimate the coverage of JE vaccine and magnitude of missed opportunity for vaccination (MoV) for JE in Gorakhpur division. Methods: To estimate the JE vaccine coverage, cluster surveys were conducted in four districts of Gorakhpur division by selecting 30 clusters by probability proportional to size method in each district, seven children aged 25-36 months were selected from each cluster and their mothers were interviewed about JE vaccination. To estimate the magnitude of MoV, exit surveys were conducted in vaccination clinics in selected health facilities, mothers were interviewed about the vaccination status of their children and vaccines administered to the child on the day of interview. Results: A total of 840 children were surveyed, 210 from each district. The coverages of one and two doses of JE vaccine in Gorakhpur division were 75 per cent [95% confidence interval (CI): 71.0-78.9] and 42.3 per cent (95% CI: 37.8-46.8), respectively. Facility-based exit survey indicated that 32.7 per cent of the eligible children missed JE vaccine. Interpretation & conclusions: The survey results showed that three of the four children aged 25-36 months in Gorakhpur division had received at least one dose of JE vaccine. The coverage of second dose of JE vaccine, however, was low. Failure to administer vaccination simultaneously was the most common reason for MoV for JE vaccine. Training vaccinators about correct vaccination schedule and removing their misconception about administering vaccines simultaneously would substantially improve JE vaccine coverage in Gorakhpur.
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Affiliation(s)
| | - Chinmay Oak
- ICMR-National Institute of Epidemiology, Chennai, India
| | - Prashant Ranjan
- Department of Health & Family Welfare, Government of Uttar Pradesh, Gorakhpur, India
| | - K Kanagasabai
- ICMR-National Institute of Epidemiology, Chennai, India
| | - Satish Shinde
- ICMR-National Institute of Epidemiology, Chennai, India
| | | | - Mahima Mittal
- Department of Paediatrics, BRD Medical College, Gorakhpur, India
| | - Milind Gore
- ICMR-National Institute of Virology, Gorakhpur Unit, Gorakhpur, India
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12
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Joshua V, Murhekar MV, Ashok M, Kanagasabai K, Ravi M, Sabarinathan R, Kirubakaran BK, Ramachandran V, Gupta N, Mehendale S. Mapping dengue cases through a national network of laboratories, 2014-2015. Indian J Med Res 2018; 144:938-941. [PMID: 28474634 PMCID: PMC5433290 DOI: 10.4103/ijmr.ijmr_673_16] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Affiliation(s)
- Vasna Joshua
- ICMR-National Institute of Epidemiology, Chennai 600 077, India
| | | | - M Ashok
- ICMR-National Institute of Epidemiology, Chennai 600 077, India
| | - K Kanagasabai
- ICMR-National Institute of Epidemiology, Chennai 600 077, India
| | - M Ravi
- ICMR-National Institute of Epidemiology, Chennai 600 077, India
| | - R Sabarinathan
- ICMR-National Institute of Epidemiology, Chennai 600 077, India
| | - B K Kirubakaran
- ICMR-National Institute of Epidemiology, Chennai 600 077, India
| | - V Ramachandran
- ICMR-National Institute of Epidemiology, Chennai 600 077, India
| | - Nivedita Gupta
- Division of Epidemiology and Communicable Diseases, Indian Council of Medical Research, New Delhi 110 29, India
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Hong C, Aung MM, Kanagasabai K, Lim CA, Liang S, Tan KS. The association between oral health status and respiratory pathogen colonization with pneumonia risk in institutionalized adults. Int J Dent Hyg 2017; 16:e96-e102. [PMID: 29120096 DOI: 10.1111/idh.12321] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2017] [Indexed: 11/28/2022]
Abstract
OBJECTIVES This study aimed to assess the oral health and the prevalence of pre-existing oral colonization with respiratory pathogens in dependent elderly, and whether these factors influence pneumonia development. MATERIALS AND METHODS Participants residing in a long-term care facility received bedside oral examinations, and information on their oral health (caries status, calculus index and debris index) was obtained. Samples from the tongue and teeth were collected at baseline and at time of pneumonia development. Sputum was collected at the time of pneumonia diagnosis. Samples were assessed for Haemophilus influenzae, Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus and Streptococcus pneumoniae by polymerase chain reaction. RESULTS This was a 1-year longitudinal study of 60 dependent elderly (mean age: 64.2 ± 14.1 years). Seventeen patients (28.3%) developed pneumonia. The mean Decayed, Missing and Filled Teeth and Simplified Oral Hygiene Index were 22.8 ± 9.2 and 4.0 ± 1.0, respectively. At baseline, 48.3% were orally colonized with ≥1 respiratory pathogens. The presence of H. influenzae (P = .002) and P. aeruginosa (P = .049) in the sputum was significantly associated with their colonization on the tongue at baseline. In the bivariate analyses, pneumonia development was associated with naso-gastric feeding tube (P = .0001), H. influenzae (P = .015) and P. aeruginosa (P = .003) tongue colonization at baseline and calculus index (P = .002). Multivariate analyses revealed that calculus index (P = .09) and the presence of tracheostomy (P = .037) were associated with pneumonia. CONCLUSIONS The calculus amount and tongue colonization with respiratory pathogens are risk factors for pneumonia development. Oral hygiene measures to remove tongue biofilm and calculus may reduce pneumonia development.
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Affiliation(s)
- Chl Hong
- Faculty of Dentistry, Discipline of Orthodontics and Paediatric Dentistry, National University of Singapore, Singapore, Singapore
| | - M M Aung
- Ren Ci Hospital, Singapore, Singapore
| | - K Kanagasabai
- CQMU [Clinical Quality Management Unit], Ren Ci Hospital, Singapore, Singapore
| | - C A Lim
- Faculty of Dentistry, Discipline of Oral Sciences, National University of Singapore, Singapore, Singapore
| | - S Liang
- Department of Biostatistics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - K S Tan
- Faculty of Dentistry, Discipline of Oral Sciences, National University of Singapore, Singapore, Singapore
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Ganguly S, Barkataki S, Karmakar S, Sanga P, Boopathi K, Kanagasabai K, Kamaraj P, Chowdhury P, Sarkar R, Raj D, James L, Dutta S, Sehgal R, Jha P, Murhekar M. High prevalence of soil-transmitted helminth infections among primary school children, Uttar Pradesh, India, 2015. Infect Dis Poverty 2017; 6:139. [PMID: 28988538 PMCID: PMC5632835 DOI: 10.1186/s40249-017-0354-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Accepted: 08/25/2017] [Indexed: 01/09/2023] Open
Abstract
Background Soil-transmitted helminth (STH) infections often affect the poorest and most deprived communities. In order to generate reliable data for planning a school based deworming program, we conducted a survey among primary school children studying in government schools in the Indian state of Uttar Pradesh. The objectives of our survey were to estimate the prevalence and intensity of STH infections. Methods We conducted a cross-sectional survey among children studying in 130 primary schools from 9 agro-climatic zones, during May – August 2015. Information about socio-demographic details, defecation and hand-hygiene practices, and stool samples were collected from the school children. Stool samples were examined using the Kato-Katz method. Results Stool samples from 6421 school children were examined. The overall weighted prevalence of any STH in the State was 75.6% (95% CI: 71.2–79.5). The prevalence was more than 50% in six of the nine agro-climatic zones. A. lumbricoides was the most prevalent STH (prevalence: 69.6%), followed by hookworm (prevalence: 22.6%) and T. trichura (4.6%). The majority of the STH infections were of low intensity. The practice of open defecation and not washing hands with soap after defecation and residence in kutcha house were significant risk factors of STH infection. Conclusions STH prevalence among primary school children in Uttar Pradesh was high. Given the WHO guidelines on deworming frequency according to STH prevalence, Govt of Uttar Pradesh needs to implement a school-based deworming program with bi-annual frequency. The findings of our survey would also help monitor the performance of school based deworming programme. Electronic supplementary material The online version of this article (10.1186/s40249-017-0354-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sandipan Ganguly
- National Institute of Cholera & Enteric Diseases, Indian Council of Medical Research, Kolkata, India
| | | | - Sumallya Karmakar
- National Institute of Cholera & Enteric Diseases, Indian Council of Medical Research, Kolkata, India
| | | | - K Boopathi
- Department of Epidemiology, National Institute of Epidemiology, Indian Council of Medical Research, Chennai, India
| | - K Kanagasabai
- Department of Epidemiology, National Institute of Epidemiology, Indian Council of Medical Research, Chennai, India
| | - P Kamaraj
- Department of Epidemiology, National Institute of Epidemiology, Indian Council of Medical Research, Chennai, India
| | - Punam Chowdhury
- National Institute of Cholera & Enteric Diseases, Indian Council of Medical Research, Kolkata, India
| | - Rituparna Sarkar
- National Institute of Cholera & Enteric Diseases, Indian Council of Medical Research, Kolkata, India
| | - Dibyendu Raj
- National Institute of Cholera & Enteric Diseases, Indian Council of Medical Research, Kolkata, India
| | | | - Shanta Dutta
- National Institute of Cholera & Enteric Diseases, Indian Council of Medical Research, Kolkata, India
| | - Rakesh Sehgal
- Department of Medical Parasitology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Priya Jha
- Evidence Action - Deworm the World Initiative, New Delhi, India
| | - Manoj Murhekar
- Department of Epidemiology, National Institute of Epidemiology, Indian Council of Medical Research, Chennai, India.
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Kanagasabai K, Bhat V, Pramod GK, Patil SJ, Kiranmayi S. Severe caudal regression syndrome with overlapping features of VACTERL complex: antenatal detection and follow up. BJR Case Rep 2017; 3:20150356. [PMID: 30363289 PMCID: PMC6159258 DOI: 10.1259/bjrcr.20150356] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Revised: 08/31/2016] [Accepted: 11/03/2016] [Indexed: 11/05/2022] Open
Abstract
Caudal regression is a rare syndrome with a spectrum of structural defects involving multiple organ systems. Spinal anomalies, a charecteristic feature of the entity, can vary from isolated partial agenesis of the coccyx to lumbosacral agenesis with involvement of the thoracic spine in the most severe cases. The aetiology of this syndrome is not well-known. Maternal diabetes, genetic predisposition and vascular hypoperfusion have been suggested as possible causative factors. Severe forms of the disease are commonly associated with cardiac, renal and respiratory problems with overlapping feature of VACTERL complex (vertebral, anorectal, cardiac, tracheoesophageal, renal and limb anomalies). In this case report, we describe imaging appearances of severe caudal regression syndrome, VACTERL complex associated with multisystem anomalies, detected on a screening antenatal scan during second trimester. Some unusual features of the syndrome including sternal anomaly and absent bony hemithorax are highlighted.
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Affiliation(s)
- K Kanagasabai
- Department of Imaging Services, Narayana Health, Mazumdar Shaw Cancer Center, Bengaluru, India
| | - Venkatraman Bhat
- Department of Imaging Services, Narayana Health, Mazumdar Shaw Cancer Center, Bengaluru, India
| | - GK Pramod
- Department of Imaging Services, Narayana Health, Mazumdar Shaw Cancer Center, Bengaluru, India
| | | | - S Kiranmayi
- Department of Obstetrics, Mazumdar Shaw Cancer Center, Bengaluru, India
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Ramachandran V, Kaur P, Kanagasabai K, Vadivoo S, Murhekar MV. Persistent arthralgia among Chikungunya patients and associated risk factors in Chennai, South India. J Postgrad Med 2014; 60:3-6. [DOI: 10.4103/0022-3859.128795] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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O'Holohan DR, Hugoe-Matthews J, Kanagasabai K. Clinical trial of phenyelene di-iso-thiocyanate (1.4), Jonit, in the treatment of hookworm disease in Malaysia. Southeast Asian J Trop Med Public Health 1971; 2:51-5. [PMID: 5112340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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