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Article ; Online: Bleeding during the pandemic: the politics of menstruation.

Jahan, Nuzrath

Sexual and reproductive health matters

2020 Volume 28, Issue 1, Page(s) 1801001

MeSH term(s)	COVID-19 ; Coronavirus Infections/prevention & control ; Developing Countries ; Female ; Humans ; Hygiene/education ; India ; Infection Control/statistics & numerical data ; Menstruation ; Pandemics/prevention & control ; Pneumonia, Viral/prevention & control ; Sanitation/statistics & numerical data
Language	English
Publishing date	2020-08-09
Publishing country	England
Document type	Journal Article
ISSN	2641-0397
ISSN (online)	2641-0397
DOI	10.1080/26410397.2020.1801001
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Secular trends of rabies in India, 2005-2020: importance of surveillance and implications for elimination strategies.

Rubeshkumar, Polani / Majella, Marie Gilbert / Jahan, Nuzrath / Sakthivel, Manikandanesan / Krishnamoorthy, Yuvaraj

The Lancet regional health. Southeast Asia

2023 Volume 20, Page(s) 100322

Language	English
Publishing date	2023-11-08
Publishing country	England
Document type	Journal Article
ISSN	2772-3682
ISSN (online)	2772-3682
DOI	10.1016/j.lansea.2023.100322
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Corrigendum to 'Seroprevalence of IgG antibodies against SARS-CoV-2 in India, March 2020-August 2021: a systematic review and meta-analysis' [International Journal of Infectious Diseases, Volume 116 (2022) P59-67].

Jahan, Nuzrath / Brahma, Adarsha / Kumar, Muthusamy Santhosh / Bagepally, Bhavani Shankara / Ponnaiah, Manickam / Bhatnagar, Tarun / Murhekar, Manoj V

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

2022 Volume 119, Page(s) 119

Language	English
Publishing date	2022-04-15
Publishing country	Canada
Document type	Published Erratum
ZDB-ID	1331197-9
ISSN	1878-3511 ; 1201-9712
ISSN (online)	1878-3511
ISSN	1201-9712
DOI	10.1016/j.ijid.2022.03.051
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Article ; Online: Seroprevalence of IgG antibodies against SARS-CoV-2 in India, March 2020 to August 2021: a systematic review and meta-analysis.

Jahan, Nuzrath / Brahma, Adarsha / Kumar, Muthusamy Santhosh / Bagepally, Bhavani Shankara / Ponnaiah, Manickam / Bhatnagar, Tarun / Murhekar, Manoj V

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

2021 Volume 116, Page(s) 59–67

Abstract: Introduction: India experienced 2 waves of COVID-19 pandemic caused by SARS-CoV-2 and reported the second highest caseload globally. Seroepidemiologic studies were done to track the course of the pandemic. We systematically reviewed and synthesized the ... ...

Abstract	Introduction: India experienced 2 waves of COVID-19 pandemic caused by SARS-CoV-2 and reported the second highest caseload globally. Seroepidemiologic studies were done to track the course of the pandemic. We systematically reviewed and synthesized the seroprevalence of SARS-CoV-2 in the Indian population. Methods: We included studies reporting seroprevalence of IgG antibodies against SARS-CoV-2 from March 1, 2020 to August 11, 2021 and excluded studies done only among patients with COVID-19 and vaccinated individuals. We searched published databases, preprint servers, and government documents using a combination of keywords and medical subheading (MeSH) terms of "Seroprevalence AND SARS-CoV-2 AND India". We assessed risk of bias using the Newcastle-Ottawa scale, the appraisal tool for cross-sectional studies (AXIS), the Joanna Briggs Institute (JBI) critical appraisal tool, and WHO's statement on the Reporting of Seroepidemiological Studies for SARS-CoV-2 (ROSES-S). We calculated pooled seroprevalence along with 95% Confidence Intervals (CI) during the first (March 2020 to February 2021) and second wave (March to August 2021). We also estimated seroprevalence by selected demographic characteristics. Results: We identified 3821 studies and included 53 studies with 905379 participants after excluding duplicates, screening of titles and abstracts and full-text screening. Of the 53, 20 studies were of good quality. Some of the reviewed studies did not report adequate information on study methods (sampling = 24% (13/53); laboratory = 83% [44/53]). Studies of 'poor' quality had more than one of the following issues: unjustified sample size, nonrepresentative sample, nonclassification of nonrespondents, results unadjusted for demographics and methods insufficiently explained to enable replication. Overall pooled seroprevalence was 20.7% in the first (95% CI = 16.1 to 25.3) and 69.2% (95% CI = 64.5 to 73.8) in the second wave. Seroprevalence did not differ by age in first wave, whereas in the second, it increased with age. Seroprevalence was slightly higher among women in the second wave. In both the waves, the estimate was higher in urban than in rural areas. Conclusion: Seroprevalence increased by 3-fold between the 2 waves of the pandemic in India. Our review highlights the need for designing and reporting studies using standard protocols.
MeSH term(s)	Antibodies, Viral ; COVID-19/epidemiology ; Cross-Sectional Studies ; Female ; Humans ; Immunoglobulin G ; Pandemics ; SARS-CoV-2 ; Seroepidemiologic Studies
Chemical Substances	Antibodies, Viral ; Immunoglobulin G
Language	English
Publishing date	2021-12-28
Publishing country	Canada
Document type	Journal Article ; Meta-Analysis ; Review ; Systematic Review
ZDB-ID	1331197-9
ISSN	1878-3511 ; 1201-9712
ISSN (online)	1878-3511
ISSN	1201-9712
DOI	10.1016/j.ijid.2021.12.353
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Article ; Online: Epidemiology of hospital-based COVID- 19 cluster in a tertiary care cancer hospital, Chennai, India 2020

Suganya Barani / Nuzrath Jahan / Mathan Karuppiah / Sirshendu Chaudhuri / Mohankumar Raju / Manickam Ponnaiah / Swaminathan Rajaraman / Venktesh Vaidhyalingam / Parasuraman Ganeshkumar / Girish Kumar CP / Sendhilkumar Muthappan / Jegadeesan Murugesan / Mahalakshmi Srinivasan / Usha Krishnan / Alby John Varghese

Clinical Epidemiology and Global Health, Vol 12, Iss , Pp 100889- (2021)

2021

Abstract: Objectives: To identify risk factors associated with Coronavirus disease 2019 (COVID-19) in a Tertiary care cancer hospital-based cluster and recommend control measures. Methods: We conducted tracing and confirmation among hospital and community contacts. ...

Abstract	Objectives: To identify risk factors associated with Coronavirus disease 2019 (COVID-19) in a Tertiary care cancer hospital-based cluster and recommend control measures. Methods: We conducted tracing and confirmation among hospital and community contacts. We telephonically interviewed and abstracted information from hospital records and registers. We described the cluster by time, place and person. We conducted unmatched case-control study to compare risk factors and computed Odds Ratio (OR) and 95% confidence interval. Results: We confirmed COVID-19 in 21 of 1478 tested (1.4%). Secondary attack (%) of COVID-19 among 824 contacts was higher among in-patients of block A (18), household contacts (3.4), housekeeping staff (3.3) and nurses (1.7). The cluster started on April 22 with two successive peaks five days apart and lasted until May 8. Being male, patients aged >33 years [OR = 30·7; 95% CI = 3·6 to 264], having hypertension [OR = 4·3; 95% CI = 1·1 to 16·7] or diabetes [OR = 3·8; 95% CI = 1·0 to 14·1] were associated with COVID-19. Mask compliance was poor (20%) among hospital workers. Discussion: We recommended screening of all patients for diabetes and hypertension and isolation/testing of anyone with influenza-like illness for preventing COVID-19 clusters in hospital settings.
Keywords	COVID-19 ; SARS-CoV-2 ; Disease outbreaks ; Hospital cluster ; Public aspects of medicine ; RA1-1270
Subject code	360
Language	English
Publishing date	2021-10-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Entry and initial spread of COVID-19 in India

Nuzrath Jahan / Polani Rubeshkumar / Mathan Karuppiah / Irene Sambath / Muthappan Sendhilkumar / Kumaravel Ilangovan / Roopavathi Ongesh / Manikandanesan Sakthivel / Raju Mohankumar / Muthusamy Santhosh kumar / Parasuraman Ganeshkumar / Manickam Ponnaiah / Prabhdeep Kaur

Clinical Epidemiology and Global Health, Vol 9, Iss , Pp 347-

Epidemiological analysis of media surveillance data, India, 2020

2021 Volume 354

Abstract: Background: India reported first laboratory-confirmed case of coronavirus disease 2019 (COVID-19) on 30 January from Kerala. Media surveillance is useful to capture unstructured information about outbreaks. We established media surveillance and described ...

Abstract	Background: India reported first laboratory-confirmed case of coronavirus disease 2019 (COVID-19) on 30 January from Kerala. Media surveillance is useful to capture unstructured information about outbreaks. We established media surveillance and described the characteristics of the COVID-19 cases, clusters, deaths by time, place, and person during January–March 2020 in India. Methods: The media surveillance team of ICMR-National Institute of Epidemiology abstracted data from public domains of India's Central and State health ministries, online news and social media platforms for the period of January 31 to March 26, 2020. We collected data on person (socio-demographics, circumstances of travel/contact, clinical and laboratory), time (date/period of reported exposures; laboratory confirmation and death) and place (location). We drew epidemic curve, described frequencies of cases by age and gender. We described available details for identified clusters. Results: As of March 26, 2020, India reported 694 (Foreigners = 45, 6%) confirmed COVID-19 cases (Attack rate = 0.5 per million population) and 17 deaths (Fatality = 2.5%) from 21 States and 6 Union Territories. The cases were higher among 20–59 years of age (60 of 85) and male gender (65 of 107). Median age at death was 68 years (Range: 38–85 years). We identified 13 clusters with a total of 63 cases and four deaths among the first 200 cases. Conclusion: Surveillance of media sources was useful in characterizing the epidemic in the early phase. Hence, media surveillance should be integrated in the routine surveillance systems to map the events specially in context of new disease outbreaks.
Keywords	Cluster ; COVID-19 ; Epidemiology ; India ; SARS-CoV-2 ; Public aspects of medicine ; RA1-1270
Subject code	950
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Epidemiology of hospital-based COVID- 19 cluster in a tertiary care cancer hospital, Chennai, India 2020.

Barani, Suganya / Jahan, Nuzrath / Karuppiah, Mathan / Chaudhuri, Sirshendu / Raju, Mohankumar / Ponnaiah, Manickam / Rajaraman, Swaminathan / Vaidhyalingam, Venktesh / Ganeshkumar, Parasuraman / Kumar Cp, Girish / Muthappan, Sendhilkumar / Murugesan, Jegadeesan / Srinivasan, Mahalakshmi / Krishnan, Usha / John Varghese, Alby

Clinical epidemiology and global health

2021 Volume 12, Page(s) 100889

Abstract: Objectives: To identify risk factors associated with Coronavirus disease 2019 (COVID-19) in a Tertiary care cancer hospital-based cluster and recommend control measures.: Methods: We conducted tracing and confirmation among hospital and community ... ...

Abstract	Objectives: To identify risk factors associated with Coronavirus disease 2019 (COVID-19) in a Tertiary care cancer hospital-based cluster and recommend control measures. Methods: We conducted tracing and confirmation among hospital and community contacts. We telephonically interviewed and abstracted information from hospital records and registers. We described the cluster by time, place and person. We conducted unmatched case-control study to compare risk factors and computed Odds Ratio (OR) and 95% confidence interval. Results: We confirmed COVID-19 in 21 of 1478 tested (1.4%). Secondary attack (%) of COVID-19 among 824 contacts was higher among in-patients of block A (18), household contacts (3.4), housekeeping staff (3.3) and nurses (1.7). The cluster started on April 22 with two successive peaks five days apart and lasted until May 8. Being male, patients aged >33 years [OR = 30·7; 95% CI = 3·6 to 264], having hypertension [OR = 4·3; 95% CI = 1·1 to 16·7] or diabetes [OR = 3·8; 95% CI = 1·0 to 14·1] were associated with COVID-19. Mask compliance was poor (20%) among hospital workers. Discussion: We recommended screening of all patients for diabetes and hypertension and isolation/testing of anyone with influenza-like illness for preventing COVID-19 clusters in hospital settings.
Language	English
Publishing date	2021-11-04
Publishing country	India
Document type	Journal Article
ISSN	2452-0918
ISSN	2452-0918
DOI	10.1016/j.cegh.2021.100889
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Entry and initial spread of COVID-19 in India

Jahan, Nuzrath / Rubeshkumar, Polani / Karuppiah, Mathan / Sambath, Irene / Sendhilkumar, Muthappan / Ilangovan, Kumaravel / Ongesh, Roopavathi / Sakthivel, Manikandanesan / Mohankumar, Raju / Santhosh kumar, Muthusamy / Ganeshkumar, Parasuraman / Ponnaiah, Manickam / Kaur, Prabhdeep

Clinical Epidemiology and Global Health ; ISSN 2213-3984

Epidemiological analysis of media surveillance data, India, 2020

2020

Keywords	covid19
Language	English
Publisher	Elsevier BV
Publishing country	us
Document type	Article ; Online
DOI	10.1016/j.cegh.2020.10.008
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Entry and initial spread of COVID-19 in India: Epidemiological analysis of media surveillance data, India, 2020.

Jahan, Nuzrath / Rubeshkumar, Polani / Karuppiah, Mathan / Sambath, Irene / Sendhilkumar, Muthappan / Ilangovan, Kumaravel / Ongesh, Roopavathi / Sakthivel, Manikandanesan / Mohankumar, Raju / Santhosh Kumar, Muthusamy / Ganeshkumar, Parasuraman / Ponnaiah, Manickam / Kaur, Prabhdeep

Clinical epidemiology and global health

2020 Volume 9, Page(s) 347–354

Abstract	Background: India reported first laboratory-confirmed case of coronavirus disease 2019 (COVID-19) on 30 January from Kerala. Media surveillance is useful to capture unstructured information about outbreaks. We established media surveillance and described the characteristics of the COVID-19 cases, clusters, deaths by time, place, and person during January-March 2020 in India. Methods: The media surveillance team of ICMR-National Institute of Epidemiology abstracted data from public domains of India's Central and State health ministries, online news and social media platforms for the period of January 31 to March 26, 2020. We collected data on person (socio-demographics, circumstances of travel/contact, clinical and laboratory), time (date/period of reported exposures; laboratory confirmation and death) and place (location). We drew epidemic curve, described frequencies of cases by age and gender. We described available details for identified clusters. Results: As of March 26, 2020, India reported 694 (Foreigners = 45, 6%) confirmed COVID-19 cases (Attack rate = 0.5 per million population) and 17 deaths (Fatality = 2.5%) from 21 States and 6 Union Territories. The cases were higher among 20-59 years of age (60 of 85) and male gender (65 of 107). Median age at death was 68 years (Range: 38-85 years). We identified 13 clusters with a total of 63 cases and four deaths among the first 200 cases. Conclusion: Surveillance of media sources was useful in characterizing the epidemic in the early phase. Hence, media surveillance should be integrated in the routine surveillance systems to map the events specially in context of new disease outbreaks.
Keywords	covid19
Language	English
Publishing date	2020-11-07
Publishing country	India
Document type	Journal Article
ISSN	2452-0918
ISSN	2452-0918
DOI	10.1016/j.cegh.2020.10.008
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Entry and initial spread of COVID-19 in India: Epidemiological analysis of media surveillance data, India, 2020

Jahan, Nuzrath / Rubeshkumar, Polani / Karuppiah, Mathan / Sambath, Irene / Sendhilkumar, Muthappan / Ilangovan, Kumaravel / Ongesh, Roopavathi / Sakthivel, Manikandanesan / Mohankumar, Raju / Santhosh Kumar, Muthusamy / Ganeshkumar, Parasuraman / Ponnaiah, Manickam / Kaur, Prabhdeep

Abstract	Background: India reported first laboratory-confirmed case of coronavirus disease 2019 (COVID-19) on 30 January from Kerala. Media surveillance is useful to capture unstructured information about outbreaks. We established media surveillance and described the characteristics of the COVID-19 cases, clusters, deaths by time, place, and person during January-March 2020 in India. Methods: The media surveillance team of ICMR-National Institute of Epidemiology abstracted data from public domains of India's Central and State health ministries, online news and social media platforms for the period of January 31 to March 26, 2020. We collected data on person (socio-demographics, circumstances of travel/contact, clinical and laboratory), time (date/period of reported exposures; laboratory confirmation and death) and place (location). We drew epidemic curve, described frequencies of cases by age and gender. We described available details for identified clusters. Results: As of March 26, 2020, India reported 694 (Foreigners = 45, 6%) confirmed COVID-19 cases (Attack rate = 0.5 per million population) and 17 deaths (Fatality = 2.5%) from 21 States and 6 Union Territories. The cases were higher among 20-59 years of age (60 of 85) and male gender (65 of 107). Median age at death was 68 years (Range: 38-85 years). We identified 13 clusters with a total of 63 cases and four deaths among the first 200 cases. Conclusion: Surveillance of media sources was useful in characterizing the epidemic in the early phase. Hence, media surveillance should be integrated in the routine surveillance systems to map the events specially in context of new disease outbreaks.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #912085
Database	COVID19

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