Assessment of the acute encephalitis surveillance system in Bongaigaon district of Assam, India, 2020
Introduction: Japanese encephalitis (JE) is a significant cause of acute encephalitis syndrome (AES) in Asia, with Northeast India, particularly Assam, being a hotspot. Effective surveillance is crucial for disease control. This study aims to describe the AES surveillance system in Bongaigaon distri...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2025-05-01
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| Series: | Journal of Family Medicine and Primary Care |
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| Online Access: | https://journals.lww.com/10.4103/jfmpc.jfmpc_1445_24 |
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| author | Hiren Gogoi Mohammad Ahmad Kapil Goel Arunima Sen Kalyani Dabbagatla |
| author_facet | Hiren Gogoi Mohammad Ahmad Kapil Goel Arunima Sen Kalyani Dabbagatla |
| author_sort | Hiren Gogoi |
| collection | DOAJ |
| description | Introduction:
Japanese encephalitis (JE) is a significant cause of acute encephalitis syndrome (AES) in Asia, with Northeast India, particularly Assam, being a hotspot. Effective surveillance is crucial for disease control. This study aims to describe the AES surveillance system in Bongaigaon district, Assam, assess its attributes, and provide recommendations for improvement.
Methods:
The weekly compilation reports (Forms P, S, L) submitted by 34 sentinel surveillance sites were reviewed from January 2018 to December 2020. Nodal officers and health providers were interviewed from 38 government and one private health care facilities using a semistructured questionnaire.
Result:
A total of 51 AES cases and 32 JE cases were identified. The overall positivity rate was 38.6% and the case fatality rate was 18% for AES and 25% for JE. Maximum JE cases (66%) were in the age group >31 years. No JE-positive case was found below 5 years. The case incidence was 6.90 for AES and 4.33 for JE per 100,000 population. Only 1% was vaccinated. The quality of surveillance was good for most indicators, except timeliness of case detection, and representativeness of private hospitals which were found to be moderate.
Conclusion:
The AES surveillance system in Bongaigaon district is well established. Overall, the system is simple and acceptable and has good data quality but requires improvement for timeliness of suspected case reporting and representativeness. Inclusion of potential private hospitals in the reporting system and regular orientation of nodal officers and health care providers would improve case detection and reporting. |
| format | Article |
| id | doaj-art-b4047c834c07457884c99fe34ee2f76a |
| institution | Kabale University |
| issn | 2249-4863 2278-7135 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Family Medicine and Primary Care |
| spelling | doaj-art-b4047c834c07457884c99fe34ee2f76a2025-08-20T03:24:32ZengWolters Kluwer Medknow PublicationsJournal of Family Medicine and Primary Care2249-48632278-71352025-05-011451751175610.4103/jfmpc.jfmpc_1445_24Assessment of the acute encephalitis surveillance system in Bongaigaon district of Assam, India, 2020Hiren GogoiMohammad AhmadKapil GoelArunima SenKalyani DabbagatlaIntroduction: Japanese encephalitis (JE) is a significant cause of acute encephalitis syndrome (AES) in Asia, with Northeast India, particularly Assam, being a hotspot. Effective surveillance is crucial for disease control. This study aims to describe the AES surveillance system in Bongaigaon district, Assam, assess its attributes, and provide recommendations for improvement. Methods: The weekly compilation reports (Forms P, S, L) submitted by 34 sentinel surveillance sites were reviewed from January 2018 to December 2020. Nodal officers and health providers were interviewed from 38 government and one private health care facilities using a semistructured questionnaire. Result: A total of 51 AES cases and 32 JE cases were identified. The overall positivity rate was 38.6% and the case fatality rate was 18% for AES and 25% for JE. Maximum JE cases (66%) were in the age group >31 years. No JE-positive case was found below 5 years. The case incidence was 6.90 for AES and 4.33 for JE per 100,000 population. Only 1% was vaccinated. The quality of surveillance was good for most indicators, except timeliness of case detection, and representativeness of private hospitals which were found to be moderate. Conclusion: The AES surveillance system in Bongaigaon district is well established. Overall, the system is simple and acceptable and has good data quality but requires improvement for timeliness of suspected case reporting and representativeness. Inclusion of potential private hospitals in the reporting system and regular orientation of nodal officers and health care providers would improve case detection and reporting.https://journals.lww.com/10.4103/jfmpc.jfmpc_1445_24quality assessmentvector-borne diseaseviral encephalitis |
| spellingShingle | Hiren Gogoi Mohammad Ahmad Kapil Goel Arunima Sen Kalyani Dabbagatla Assessment of the acute encephalitis surveillance system in Bongaigaon district of Assam, India, 2020 Journal of Family Medicine and Primary Care quality assessment vector-borne disease viral encephalitis |
| title | Assessment of the acute encephalitis surveillance system in Bongaigaon district of Assam, India, 2020 |
| title_full | Assessment of the acute encephalitis surveillance system in Bongaigaon district of Assam, India, 2020 |
| title_fullStr | Assessment of the acute encephalitis surveillance system in Bongaigaon district of Assam, India, 2020 |
| title_full_unstemmed | Assessment of the acute encephalitis surveillance system in Bongaigaon district of Assam, India, 2020 |
| title_short | Assessment of the acute encephalitis surveillance system in Bongaigaon district of Assam, India, 2020 |
| title_sort | assessment of the acute encephalitis surveillance system in bongaigaon district of assam india 2020 |
| topic | quality assessment vector-borne disease viral encephalitis |
| url | https://journals.lww.com/10.4103/jfmpc.jfmpc_1445_24 |
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