Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review

Background This systematic literature review aimed to summarize evidence for the added value of drug sales data analysis for the surveillance of infectious diseases. Methods A search for relevant publications was conducted in Pubmed, Embase, Scopus, Cochrane Library, African Index Medicus and Lilacs...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Pivette, Mathilde [verfasserIn] Mueller, Judith E Crépey, Pascal Bar-Hen, Avner

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	Disease outbreaks Syndromic surveillance Drug utilization Nonprescription drugs Communicable diseases Epidemiology

Anmerkung:	© Pivette et al.; licensee BioMed Central Ltd. 2014

Übergeordnetes Werk:	Enthalten in: BMC infectious diseases - London : BioMed Central, 2001, 14(2014), 1 vom: 18. Nov.
Übergeordnetes Werk:	volume:14 ; year:2014 ; number:1 ; day:18 ; month:11

Links:	Volltext

DOI / URN:	10.1186/s12879-014-0604-2

Katalog-ID:	SPR02805881X

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520			\|a Background This systematic literature review aimed to summarize evidence for the added value of drug sales data analysis for the surveillance of infectious diseases. Methods A search for relevant publications was conducted in Pubmed, Embase, Scopus, Cochrane Library, African Index Medicus and Lilacs databases. Retrieved studies were evaluated in terms of objectives, diseases studied, data sources, methodologies and performance for real-time surveillance. Most studies compared drug sales data to reference surveillance data using correlation measurements or indicators of outbreak detection performance (sensitivity, specificity, timeliness of the detection). Results We screened 3266 articles and included 27 in the review. Most studies focused on acute respiratory and gastroenteritis infections. Nineteen studies retrospectively compared drug sales data to reference clinical data, and significant correlations were observed in 17 of them. Four studies found that over-the-counter drug sales preceded clinical data in terms of incidence increase. Five studies developed and evaluated statistical algorithms for selecting drug groups to monitor specific diseases. Another three studies developed models to predict incidence increase from drug sales. Conclusions Drug sales data analyses appear to be a useful tool for surveillance of gastrointestinal and respiratory disease, and OTC drugs have the potential for early outbreak detection. Their utility remains to be investigated for other diseases, in particular those poorly surveyed.
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allfields	10.1186/s12879-014-0604-2 doi (DE-627)SPR02805881X (SPR)s12879-014-0604-2-e DE-627 ger DE-627 rakwb eng Pivette, Mathilde verfasserin aut Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pivette et al.; licensee BioMed Central Ltd. 2014 Background This systematic literature review aimed to summarize evidence for the added value of drug sales data analysis for the surveillance of infectious diseases. Methods A search for relevant publications was conducted in Pubmed, Embase, Scopus, Cochrane Library, African Index Medicus and Lilacs databases. Retrieved studies were evaluated in terms of objectives, diseases studied, data sources, methodologies and performance for real-time surveillance. Most studies compared drug sales data to reference surveillance data using correlation measurements or indicators of outbreak detection performance (sensitivity, specificity, timeliness of the detection). Results We screened 3266 articles and included 27 in the review. Most studies focused on acute respiratory and gastroenteritis infections. Nineteen studies retrospectively compared drug sales data to reference clinical data, and significant correlations were observed in 17 of them. Four studies found that over-the-counter drug sales preceded clinical data in terms of incidence increase. Five studies developed and evaluated statistical algorithms for selecting drug groups to monitor specific diseases. Another three studies developed models to predict incidence increase from drug sales. Conclusions Drug sales data analyses appear to be a useful tool for surveillance of gastrointestinal and respiratory disease, and OTC drugs have the potential for early outbreak detection. Their utility remains to be investigated for other diseases, in particular those poorly surveyed. Disease outbreaks (dpeaa)DE-He213 Syndromic surveillance (dpeaa)DE-He213 Drug utilization (dpeaa)DE-He213 Nonprescription drugs (dpeaa)DE-He213 Communicable diseases (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Mueller, Judith E aut Crépey, Pascal aut Bar-Hen, Avner aut Enthalten in BMC infectious diseases London : BioMed Central, 2001 14(2014), 1 vom: 18. Nov. (DE-627)326645381 (DE-600)2041550-3 1471-2334 nnns volume:14 year:2014 number:1 day:18 month:11 https://dx.doi.org/10.1186/s12879-014-0604-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2014 1 18 11
spelling	10.1186/s12879-014-0604-2 doi (DE-627)SPR02805881X (SPR)s12879-014-0604-2-e DE-627 ger DE-627 rakwb eng Pivette, Mathilde verfasserin aut Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pivette et al.; licensee BioMed Central Ltd. 2014 Background This systematic literature review aimed to summarize evidence for the added value of drug sales data analysis for the surveillance of infectious diseases. Methods A search for relevant publications was conducted in Pubmed, Embase, Scopus, Cochrane Library, African Index Medicus and Lilacs databases. Retrieved studies were evaluated in terms of objectives, diseases studied, data sources, methodologies and performance for real-time surveillance. Most studies compared drug sales data to reference surveillance data using correlation measurements or indicators of outbreak detection performance (sensitivity, specificity, timeliness of the detection). Results We screened 3266 articles and included 27 in the review. Most studies focused on acute respiratory and gastroenteritis infections. Nineteen studies retrospectively compared drug sales data to reference clinical data, and significant correlations were observed in 17 of them. Four studies found that over-the-counter drug sales preceded clinical data in terms of incidence increase. Five studies developed and evaluated statistical algorithms for selecting drug groups to monitor specific diseases. Another three studies developed models to predict incidence increase from drug sales. Conclusions Drug sales data analyses appear to be a useful tool for surveillance of gastrointestinal and respiratory disease, and OTC drugs have the potential for early outbreak detection. Their utility remains to be investigated for other diseases, in particular those poorly surveyed. Disease outbreaks (dpeaa)DE-He213 Syndromic surveillance (dpeaa)DE-He213 Drug utilization (dpeaa)DE-He213 Nonprescription drugs (dpeaa)DE-He213 Communicable diseases (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Mueller, Judith E aut Crépey, Pascal aut Bar-Hen, Avner aut Enthalten in BMC infectious diseases London : BioMed Central, 2001 14(2014), 1 vom: 18. Nov. (DE-627)326645381 (DE-600)2041550-3 1471-2334 nnns volume:14 year:2014 number:1 day:18 month:11 https://dx.doi.org/10.1186/s12879-014-0604-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2014 1 18 11
allfields_unstemmed	10.1186/s12879-014-0604-2 doi (DE-627)SPR02805881X (SPR)s12879-014-0604-2-e DE-627 ger DE-627 rakwb eng Pivette, Mathilde verfasserin aut Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pivette et al.; licensee BioMed Central Ltd. 2014 Background This systematic literature review aimed to summarize evidence for the added value of drug sales data analysis for the surveillance of infectious diseases. Methods A search for relevant publications was conducted in Pubmed, Embase, Scopus, Cochrane Library, African Index Medicus and Lilacs databases. Retrieved studies were evaluated in terms of objectives, diseases studied, data sources, methodologies and performance for real-time surveillance. Most studies compared drug sales data to reference surveillance data using correlation measurements or indicators of outbreak detection performance (sensitivity, specificity, timeliness of the detection). Results We screened 3266 articles and included 27 in the review. Most studies focused on acute respiratory and gastroenteritis infections. Nineteen studies retrospectively compared drug sales data to reference clinical data, and significant correlations were observed in 17 of them. Four studies found that over-the-counter drug sales preceded clinical data in terms of incidence increase. Five studies developed and evaluated statistical algorithms for selecting drug groups to monitor specific diseases. Another three studies developed models to predict incidence increase from drug sales. Conclusions Drug sales data analyses appear to be a useful tool for surveillance of gastrointestinal and respiratory disease, and OTC drugs have the potential for early outbreak detection. Their utility remains to be investigated for other diseases, in particular those poorly surveyed. Disease outbreaks (dpeaa)DE-He213 Syndromic surveillance (dpeaa)DE-He213 Drug utilization (dpeaa)DE-He213 Nonprescription drugs (dpeaa)DE-He213 Communicable diseases (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Mueller, Judith E aut Crépey, Pascal aut Bar-Hen, Avner aut Enthalten in BMC infectious diseases London : BioMed Central, 2001 14(2014), 1 vom: 18. Nov. (DE-627)326645381 (DE-600)2041550-3 1471-2334 nnns volume:14 year:2014 number:1 day:18 month:11 https://dx.doi.org/10.1186/s12879-014-0604-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2014 1 18 11
allfieldsGer	10.1186/s12879-014-0604-2 doi (DE-627)SPR02805881X (SPR)s12879-014-0604-2-e DE-627 ger DE-627 rakwb eng Pivette, Mathilde verfasserin aut Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pivette et al.; licensee BioMed Central Ltd. 2014 Background This systematic literature review aimed to summarize evidence for the added value of drug sales data analysis for the surveillance of infectious diseases. Methods A search for relevant publications was conducted in Pubmed, Embase, Scopus, Cochrane Library, African Index Medicus and Lilacs databases. Retrieved studies were evaluated in terms of objectives, diseases studied, data sources, methodologies and performance for real-time surveillance. Most studies compared drug sales data to reference surveillance data using correlation measurements or indicators of outbreak detection performance (sensitivity, specificity, timeliness of the detection). Results We screened 3266 articles and included 27 in the review. Most studies focused on acute respiratory and gastroenteritis infections. Nineteen studies retrospectively compared drug sales data to reference clinical data, and significant correlations were observed in 17 of them. Four studies found that over-the-counter drug sales preceded clinical data in terms of incidence increase. Five studies developed and evaluated statistical algorithms for selecting drug groups to monitor specific diseases. Another three studies developed models to predict incidence increase from drug sales. Conclusions Drug sales data analyses appear to be a useful tool for surveillance of gastrointestinal and respiratory disease, and OTC drugs have the potential for early outbreak detection. Their utility remains to be investigated for other diseases, in particular those poorly surveyed. Disease outbreaks (dpeaa)DE-He213 Syndromic surveillance (dpeaa)DE-He213 Drug utilization (dpeaa)DE-He213 Nonprescription drugs (dpeaa)DE-He213 Communicable diseases (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Mueller, Judith E aut Crépey, Pascal aut Bar-Hen, Avner aut Enthalten in BMC infectious diseases London : BioMed Central, 2001 14(2014), 1 vom: 18. Nov. (DE-627)326645381 (DE-600)2041550-3 1471-2334 nnns volume:14 year:2014 number:1 day:18 month:11 https://dx.doi.org/10.1186/s12879-014-0604-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2014 1 18 11
allfieldsSound	10.1186/s12879-014-0604-2 doi (DE-627)SPR02805881X (SPR)s12879-014-0604-2-e DE-627 ger DE-627 rakwb eng Pivette, Mathilde verfasserin aut Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pivette et al.; licensee BioMed Central Ltd. 2014 Background This systematic literature review aimed to summarize evidence for the added value of drug sales data analysis for the surveillance of infectious diseases. Methods A search for relevant publications was conducted in Pubmed, Embase, Scopus, Cochrane Library, African Index Medicus and Lilacs databases. Retrieved studies were evaluated in terms of objectives, diseases studied, data sources, methodologies and performance for real-time surveillance. Most studies compared drug sales data to reference surveillance data using correlation measurements or indicators of outbreak detection performance (sensitivity, specificity, timeliness of the detection). Results We screened 3266 articles and included 27 in the review. Most studies focused on acute respiratory and gastroenteritis infections. Nineteen studies retrospectively compared drug sales data to reference clinical data, and significant correlations were observed in 17 of them. Four studies found that over-the-counter drug sales preceded clinical data in terms of incidence increase. Five studies developed and evaluated statistical algorithms for selecting drug groups to monitor specific diseases. Another three studies developed models to predict incidence increase from drug sales. Conclusions Drug sales data analyses appear to be a useful tool for surveillance of gastrointestinal and respiratory disease, and OTC drugs have the potential for early outbreak detection. Their utility remains to be investigated for other diseases, in particular those poorly surveyed. Disease outbreaks (dpeaa)DE-He213 Syndromic surveillance (dpeaa)DE-He213 Drug utilization (dpeaa)DE-He213 Nonprescription drugs (dpeaa)DE-He213 Communicable diseases (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Mueller, Judith E aut Crépey, Pascal aut Bar-Hen, Avner aut Enthalten in BMC infectious diseases London : BioMed Central, 2001 14(2014), 1 vom: 18. Nov. (DE-627)326645381 (DE-600)2041550-3 1471-2334 nnns volume:14 year:2014 number:1 day:18 month:11 https://dx.doi.org/10.1186/s12879-014-0604-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2014 1 18 11
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spellingShingle	Pivette, Mathilde misc Disease outbreaks misc Syndromic surveillance misc Drug utilization misc Nonprescription drugs misc Communicable diseases misc Epidemiology Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review
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topic_title	Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review Disease outbreaks (dpeaa)DE-He213 Syndromic surveillance (dpeaa)DE-He213 Drug utilization (dpeaa)DE-He213 Nonprescription drugs (dpeaa)DE-He213 Communicable diseases (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213
topic	misc Disease outbreaks misc Syndromic surveillance misc Drug utilization misc Nonprescription drugs misc Communicable diseases misc Epidemiology
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title	Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review
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title_full	Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review
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title_sort	drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review
title_auth	Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review
abstract	Background This systematic literature review aimed to summarize evidence for the added value of drug sales data analysis for the surveillance of infectious diseases. Methods A search for relevant publications was conducted in Pubmed, Embase, Scopus, Cochrane Library, African Index Medicus and Lilacs databases. Retrieved studies were evaluated in terms of objectives, diseases studied, data sources, methodologies and performance for real-time surveillance. Most studies compared drug sales data to reference surveillance data using correlation measurements or indicators of outbreak detection performance (sensitivity, specificity, timeliness of the detection). Results We screened 3266 articles and included 27 in the review. Most studies focused on acute respiratory and gastroenteritis infections. Nineteen studies retrospectively compared drug sales data to reference clinical data, and significant correlations were observed in 17 of them. Four studies found that over-the-counter drug sales preceded clinical data in terms of incidence increase. Five studies developed and evaluated statistical algorithms for selecting drug groups to monitor specific diseases. Another three studies developed models to predict incidence increase from drug sales. Conclusions Drug sales data analyses appear to be a useful tool for surveillance of gastrointestinal and respiratory disease, and OTC drugs have the potential for early outbreak detection. Their utility remains to be investigated for other diseases, in particular those poorly surveyed. © Pivette et al.; licensee BioMed Central Ltd. 2014
abstractGer	Background This systematic literature review aimed to summarize evidence for the added value of drug sales data analysis for the surveillance of infectious diseases. Methods A search for relevant publications was conducted in Pubmed, Embase, Scopus, Cochrane Library, African Index Medicus and Lilacs databases. Retrieved studies were evaluated in terms of objectives, diseases studied, data sources, methodologies and performance for real-time surveillance. Most studies compared drug sales data to reference surveillance data using correlation measurements or indicators of outbreak detection performance (sensitivity, specificity, timeliness of the detection). Results We screened 3266 articles and included 27 in the review. Most studies focused on acute respiratory and gastroenteritis infections. Nineteen studies retrospectively compared drug sales data to reference clinical data, and significant correlations were observed in 17 of them. Four studies found that over-the-counter drug sales preceded clinical data in terms of incidence increase. Five studies developed and evaluated statistical algorithms for selecting drug groups to monitor specific diseases. Another three studies developed models to predict incidence increase from drug sales. Conclusions Drug sales data analyses appear to be a useful tool for surveillance of gastrointestinal and respiratory disease, and OTC drugs have the potential for early outbreak detection. Their utility remains to be investigated for other diseases, in particular those poorly surveyed. © Pivette et al.; licensee BioMed Central Ltd. 2014
abstract_unstemmed	Background This systematic literature review aimed to summarize evidence for the added value of drug sales data analysis for the surveillance of infectious diseases. Methods A search for relevant publications was conducted in Pubmed, Embase, Scopus, Cochrane Library, African Index Medicus and Lilacs databases. Retrieved studies were evaluated in terms of objectives, diseases studied, data sources, methodologies and performance for real-time surveillance. Most studies compared drug sales data to reference surveillance data using correlation measurements or indicators of outbreak detection performance (sensitivity, specificity, timeliness of the detection). Results We screened 3266 articles and included 27 in the review. Most studies focused on acute respiratory and gastroenteritis infections. Nineteen studies retrospectively compared drug sales data to reference clinical data, and significant correlations were observed in 17 of them. Four studies found that over-the-counter drug sales preceded clinical data in terms of incidence increase. Five studies developed and evaluated statistical algorithms for selecting drug groups to monitor specific diseases. Another three studies developed models to predict incidence increase from drug sales. Conclusions Drug sales data analyses appear to be a useful tool for surveillance of gastrointestinal and respiratory disease, and OTC drugs have the potential for early outbreak detection. Their utility remains to be investigated for other diseases, in particular those poorly surveyed. © Pivette et al.; licensee BioMed Central Ltd. 2014
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title_short	Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review
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Methods A search for relevant publications was conducted in Pubmed, Embase, Scopus, Cochrane Library, African Index Medicus and Lilacs databases. Retrieved studies were evaluated in terms of objectives, diseases studied, data sources, methodologies and performance for real-time surveillance. Most studies compared drug sales data to reference surveillance data using correlation measurements or indicators of outbreak detection performance (sensitivity, specificity, timeliness of the detection). Results We screened 3266 articles and included 27 in the review. Most studies focused on acute respiratory and gastroenteritis infections. Nineteen studies retrospectively compared drug sales data to reference clinical data, and significant correlations were observed in 17 of them. Four studies found that over-the-counter drug sales preceded clinical data in terms of incidence increase. Five studies developed and evaluated statistical algorithms for selecting drug groups to monitor specific diseases. Another three studies developed models to predict incidence increase from drug sales. Conclusions Drug sales data analyses appear to be a useful tool for surveillance of gastrointestinal and respiratory disease, and OTC drugs have the potential for early outbreak detection. 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Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review

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