Innovative Uses for Syndromic Surveillance

O'Connell, E.; Zhang, Guoyan; Leguen, Fermin; Llau, Anthoni; Rico, Edhelene

doi:10.3201/eid1604.090688

Cited by 18 publications

(17 citation statements)

References 5 publications

(5 reference statements)

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“…3,4 Traditional, passive surveillance systems typically rely on data submitted to the relevant public health authority by physicians, laboratories, and other health-care providers; they provide information crucial to the eff ective functioning of health systems. 5 These systems can be com plex and expensive. Time and resource constraints, as well as a lack of operational knowledge of reporting systems, adversely aff ect the completeness of reporting, 6 resulting in an incomplete account of disease emergence.…”

Section: Introductionmentioning

confidence: 99%

Internet-based surveillance systems for monitoring emerging infectious diseases

Milinovich

Williams

Clements

et al. 2014

The Lancet Infectious Diseases

261

265

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Emerging infectious diseases present a complex challenge to public health officials and governments; these challenges have been compounded by rapidly shifting patterns of human behaviour and globalisation. The increase in emerging infectious diseases has led to calls for new technologies and approaches for detection, tracking, reporting, and response. Internet-based surveillance systems offer a novel and developing means of monitoring conditions of public health concern, including emerging infectious diseases. We review studies that have exploited internet use and search trends to monitor two such diseases: influenza and dengue. Internet-based surveillance systems have good congruence with traditional surveillance approaches. Additionally, internet-based approaches are logistically and economically appealing. However, they do not have the capacity to replace traditional surveillance systems; they should not be viewed as an alternative, but rather an extension. Future research should focus on using data generated through internet-based surveillance and response systems to bolster the capacity of traditional surveillance systems for emerging infectious diseases.

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Section: Introductionmentioning

confidence: 99%

Internet-based surveillance systems for monitoring emerging infectious diseases

Milinovich

Williams

Clements

et al. 2014

The Lancet Infectious Diseases

261

265

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“…Esse tipo de vigilância pode utilizar diversas formas e fontes de dados, que não são necessariamente casos suspeitos ou confirmados, para detectar de forma precoce a alteração do perfil do agravo (30)(31)(32) . No caso do Rotavírus, a estruturação da vigilância sindrômica se apoiaria principalmente na captação de casos de diarreias em unidades de media e baixa complexidade e as amostras coletadas seriam enviadas aos laboratórios (30) .…”

Section: Discussionunclassified

Avaliação da vigilância epidemiológica ampliada do rotavírus

Oliveira¹,

Horta²,

Verani³

2014

RBPS

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Evaluation of rotavirus enhanced epidemiologic surveillance Evaluación de la vigilancia epidemiológica ampliada del rotavirus RESUMO Objetivo: Conhecer as práticas de vigilância do Rotavírus, identificando os pontos positivos e as dificuldades encontradas através do modelo de avaliação da Vigilância Epidemiológica Ampliada das Doenças Diarreicas por Rotavírus (VER). Métodos: Tratou-se de uma pesquisa avaliativa realizada em dois diferentes estados brasileiros, entre março a novembro de 2010. Participaram da avaliação 14 atores no total (do nível central, estadual e municipal), sendo submetidos a entrevistas gravadas utilizando questionários semiestruturados, além da realização de análise documental e observação direta da rotina do serviço dentro das respectivas unidades. Essas informações permitiram alimentar uma matriz de julgamento e evidenciar os variados aspectos componentes da operacionalização do sistema. Resultados: Foram observados pontos positivos (a sensibilidade de captação de casos, a aceitabilidade do sistema por parte dos técnicos envolvidos, a estrutura física adequada e a capacitação e atualização dos técnicos) e dificuldades operacionais (a escassez de recursos humanos e financeiros, e a baixa oportunidade do sistema de informação) na condução das atividades da vigilância. Conclusão: Os resultados encontrados sugerem a baixa efetividade do sistema de vigilância adotado, indicando que a vigilância do tipo sentinela pode não ser a mais adequada para o sistema de saúde desses estados estudados.

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“…Traditional, infectious disease surveillance systems typically rely upon data submitted to public health authorities by medical practitioners, laboratories and other health care providers1. These systems are critical to the effective functioning of health systems and form a central component in infectious disease prevention and control.…”

mentioning

confidence: 99%

Disease surveillance based on Internet-based linear models: an Australian case study of previously unmodeled infection diseases

Rohart

Milinovich

Avril³

et al. 2016

Sci Rep

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Effective disease surveillance is critical to the functioning of health systems. Traditional approaches are, however, limited in their ability to deliver timely information. Internet-based surveillance systems are a promising approach that may circumvent many of the limitations of traditional health surveillance systems and provide more intelligence on cases of infection, including cases from those that do not use the healthcare system. Infectious disease surveillance systems built on Internet search metrics have been shown to produce accurate estimates of disease weeks before traditional systems and are an economically attractive approach to surveillance; they are, however, also prone to error under certain circumstances. This study sought to explore previously unmodeled diseases by investigating the link between Google Trends search metrics and Australian weekly notification data. We propose using four alternative disease modelling strategies based on linear models that studied the length of the training period used for model construction, determined the most appropriate lag for search metrics, used wavelet transformation for denoising data and enabled the identification of key search queries for each disease. Out of the twenty-four diseases assessed with Australian data, our nowcasting results highlighted promise for two diseases of international concern, Ross River virus and pneumococcal disease.

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Innovative Uses for Syndromic Surveillance

Cited by 18 publications

References 5 publications

Internet-based surveillance systems for monitoring emerging infectious diseases

Internet-based surveillance systems for monitoring emerging infectious diseases

Avaliação da vigilância epidemiológica ampliada do rotavírus

Disease surveillance based on Internet-based linear models: an Australian case study of previously unmodeled infection diseases

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