Changes in the landscape of field epidemiology
Abstract Aim Field epidemiology plays a critical role in investigating disease outbreaks and public health emergencies. This editorial revisits the evolving landscape of field epidemiology, focusing on the increasing reliance on secondary data and the challenges this shift introduces. Subject and me...
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| Format: | Article |
| Language: | English |
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Springer
2025-08-01
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| Series: | Discover Social Science and Health |
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| Online Access: | https://doi.org/10.1007/s44155-025-00275-5 |
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| author | Ehsan Allah Kalteh Mohammad Hassan Lotfi Fatemeh Shakeri Shamsi Hossein Akhondi |
| author_facet | Ehsan Allah Kalteh Mohammad Hassan Lotfi Fatemeh Shakeri Shamsi Hossein Akhondi |
| author_sort | Ehsan Allah Kalteh |
| collection | DOAJ |
| description | Abstract Aim Field epidemiology plays a critical role in investigating disease outbreaks and public health emergencies. This editorial revisits the evolving landscape of field epidemiology, focusing on the increasing reliance on secondary data and the challenges this shift introduces. Subject and method We distinguish Applied Epidemiology from Field Epidemiology, particularly in the Iranian context, and venture into broader implications where necessary. Emphasis is placed on the expanding use of secondary sources of data, such as electronic health records and vast health databases, along with technological advances that influence field engagement. A comparative table is utilized to describe differences. Result While secondary data improves efficiency and cost-effectiveness, direct field investigation remains irreplaceable in managing emerging diseases, chronic conditions, and environmental threats. The shift is most pronounced in countries like Iran, where technological and institutional transitions have reshaped epidemiological practices. Conclusion A hybrid model combining traditional field investigation with modern data analytics is essential to enhance public health responsiveness and research quality. Policy frameworks and training curricula should reflect this integration. |
| format | Article |
| id | doaj-art-d897832048f04f55bd2b7be4b19e8471 |
| institution | Kabale University |
| issn | 2731-0469 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Social Science and Health |
| spelling | doaj-art-d897832048f04f55bd2b7be4b19e84712025-08-20T04:02:50ZengSpringerDiscover Social Science and Health2731-04692025-08-01511410.1007/s44155-025-00275-5Changes in the landscape of field epidemiologyEhsan Allah Kalteh0Mohammad Hassan Lotfi1Fatemeh Shakeri Shamsi2Hossein Akhondi3Department of Biostatistics and Epidemiology, School of Public Health, Center for Healthcare Data Modeling, Shahid Sadoughi University of Medical SciencesDepartment of Biostatistics and Epidemiology, School of Public Health, Center for Healthcare Data Modeling, Shahid Sadoughi University of Medical SciencesDepartment of Biostatistics and Epidemiology, School of Public Health, Center for Healthcare Data Modeling, Shahid Sadoughi University of Medical SciencesDepartment of Biostatistics and Epidemiology, School of Public Health, Center for Healthcare Data Modeling, Shahid Sadoughi University of Medical SciencesAbstract Aim Field epidemiology plays a critical role in investigating disease outbreaks and public health emergencies. This editorial revisits the evolving landscape of field epidemiology, focusing on the increasing reliance on secondary data and the challenges this shift introduces. Subject and method We distinguish Applied Epidemiology from Field Epidemiology, particularly in the Iranian context, and venture into broader implications where necessary. Emphasis is placed on the expanding use of secondary sources of data, such as electronic health records and vast health databases, along with technological advances that influence field engagement. A comparative table is utilized to describe differences. Result While secondary data improves efficiency and cost-effectiveness, direct field investigation remains irreplaceable in managing emerging diseases, chronic conditions, and environmental threats. The shift is most pronounced in countries like Iran, where technological and institutional transitions have reshaped epidemiological practices. Conclusion A hybrid model combining traditional field investigation with modern data analytics is essential to enhance public health responsiveness and research quality. Policy frameworks and training curricula should reflect this integration.https://doi.org/10.1007/s44155-025-00275-5Field epidemiologyApplied epidemiologyPublic health practiceSecondary dataHealth informatics |
| spellingShingle | Ehsan Allah Kalteh Mohammad Hassan Lotfi Fatemeh Shakeri Shamsi Hossein Akhondi Changes in the landscape of field epidemiology Discover Social Science and Health Field epidemiology Applied epidemiology Public health practice Secondary data Health informatics |
| title | Changes in the landscape of field epidemiology |
| title_full | Changes in the landscape of field epidemiology |
| title_fullStr | Changes in the landscape of field epidemiology |
| title_full_unstemmed | Changes in the landscape of field epidemiology |
| title_short | Changes in the landscape of field epidemiology |
| title_sort | changes in the landscape of field epidemiology |
| topic | Field epidemiology Applied epidemiology Public health practice Secondary data Health informatics |
| url | https://doi.org/10.1007/s44155-025-00275-5 |
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