{"title":"意大利手足口病(HFMD)的数字流行病学和信息流行病学。通过谷歌和维基百科进行疾病趋势评估。","authors":"Omar Enzo Santangelo, Vincenza Gianfredi, Sandro Provenzano, Fabrizio Cedrone","doi":"10.23750/abm.v94i4.14184","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and aim: </strong>The study aimed to evaluate the epidemiological trend of hand, foot and mouth disease (HFMD) in Italy using data on Internet search volume.</p><p><strong>Methods: </strong>A cross-sectional study design was used. Data on Internet searches were obtained from Google Trends (GT) and Wikipedia. We used the following Italian search term: \"Malattia mano-piede-bocca\" (Hand-foot-mouth disease, in English). A monthly time-frame was extracted, partly overlapping, from July 2015 to December 2022. GT and Wikipedia were overlapped to perform a linear regression and correlation analyses. Statistical analyses were performed using the Spearman's rank correlation coefficient (rho). A linear regression analysis was performed considering Wikipedia and GT.</p><p><strong>Results: </strong>Search peaks for both Wikipedia and GT occurred in the months November-December during the autumn-winter season and in June during the spring-summer season, except for the period from June 2020 to June 2021, probably due to the restrictions of the COVID19 pandemic. A temporal correlation was observed between GT and Wikipedia search trends.</p><p><strong>Conclusions: </strong>This is the first study in Italy that attempts to clarify the epidemiology of HFMD. Google search and Wikipedia can be valuable for public health surveillance; however, to date, digital epidemiology cannot replace the traditional surveillance system.</p>","PeriodicalId":35682,"journal":{"name":"Acta Biomedica de l''Ateneo Parmense","volume":"94 4","pages":"e2023107"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/e3/d0/ACTA-94-107.PMC10440772.pdf","citationCount":"1","resultStr":"{\"title\":\"Digital epidemiology and infodemiology of hand-foot-mouth disease (HFMD) in Italy. Disease trend assessment via Google and Wikipedia.\",\"authors\":\"Omar Enzo Santangelo, Vincenza Gianfredi, Sandro Provenzano, Fabrizio Cedrone\",\"doi\":\"10.23750/abm.v94i4.14184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and aim: </strong>The study aimed to evaluate the epidemiological trend of hand, foot and mouth disease (HFMD) in Italy using data on Internet search volume.</p><p><strong>Methods: </strong>A cross-sectional study design was used. Data on Internet searches were obtained from Google Trends (GT) and Wikipedia. We used the following Italian search term: \\\"Malattia mano-piede-bocca\\\" (Hand-foot-mouth disease, in English). A monthly time-frame was extracted, partly overlapping, from July 2015 to December 2022. GT and Wikipedia were overlapped to perform a linear regression and correlation analyses. Statistical analyses were performed using the Spearman's rank correlation coefficient (rho). A linear regression analysis was performed considering Wikipedia and GT.</p><p><strong>Results: </strong>Search peaks for both Wikipedia and GT occurred in the months November-December during the autumn-winter season and in June during the spring-summer season, except for the period from June 2020 to June 2021, probably due to the restrictions of the COVID19 pandemic. A temporal correlation was observed between GT and Wikipedia search trends.</p><p><strong>Conclusions: </strong>This is the first study in Italy that attempts to clarify the epidemiology of HFMD. Google search and Wikipedia can be valuable for public health surveillance; however, to date, digital epidemiology cannot replace the traditional surveillance system.</p>\",\"PeriodicalId\":35682,\"journal\":{\"name\":\"Acta Biomedica de l''Ateneo Parmense\",\"volume\":\"94 4\",\"pages\":\"e2023107\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/e3/d0/ACTA-94-107.PMC10440772.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Biomedica de l''Ateneo Parmense\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23750/abm.v94i4.14184\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Biomedica de l''Ateneo Parmense","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23750/abm.v94i4.14184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
Digital epidemiology and infodemiology of hand-foot-mouth disease (HFMD) in Italy. Disease trend assessment via Google and Wikipedia.
Background and aim: The study aimed to evaluate the epidemiological trend of hand, foot and mouth disease (HFMD) in Italy using data on Internet search volume.
Methods: A cross-sectional study design was used. Data on Internet searches were obtained from Google Trends (GT) and Wikipedia. We used the following Italian search term: "Malattia mano-piede-bocca" (Hand-foot-mouth disease, in English). A monthly time-frame was extracted, partly overlapping, from July 2015 to December 2022. GT and Wikipedia were overlapped to perform a linear regression and correlation analyses. Statistical analyses were performed using the Spearman's rank correlation coefficient (rho). A linear regression analysis was performed considering Wikipedia and GT.
Results: Search peaks for both Wikipedia and GT occurred in the months November-December during the autumn-winter season and in June during the spring-summer season, except for the period from June 2020 to June 2021, probably due to the restrictions of the COVID19 pandemic. A temporal correlation was observed between GT and Wikipedia search trends.
Conclusions: This is the first study in Italy that attempts to clarify the epidemiology of HFMD. Google search and Wikipedia can be valuable for public health surveillance; however, to date, digital epidemiology cannot replace the traditional surveillance system.
期刊介绍:
Acta Bio Medica Atenei Parmensis is the official Journal of the Society of Medicine and Natural Sciences of Parma, and it is one of the few Italian Journals to be included in many excellent scientific data banks (i.e. MEDLINE). Acta Bio Medica was founded in 1887 and its founders and collaborators, Clinicians and Surgeons, entered history. Acta Bio Medica Atenei Parmensis publishes Original Articles, Commentaries, Review Articles, Case Reports of experimental and general Medicine. A section is devoted to a Continuous Medical Education programme in order to help primary care Physicians to improve the quality of care.