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Is artificial intelligence key to dengue prevention?
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Prevalence of neural tube defects, maternal HIV status, and antiretroviral therapy from a hospital-based birth defect surveillance in Kampala, Uganda
by Linda Barlow-Mosha et al.Data from a hospital-based surveillance program at four hospitals in Kampala, Uganda were used to estimate the baseline prevalence of NTDs and assess potential associations with HIV status and ART use.
From cause to care: Can a triple approach to better population data improve the global outlook of congenital heart disease?
by Lorenzo D. Botto, Pierpaolo MastroiacovoAs infant mortality improves due to better infection control and peripartum care, congenital anomalies are becoming a key driver of pediatric survival and health.
From cause to care: Triple surveillance for better outcomes in birth defects and rare diseases
by Lorenzo D. Botto, Pierpaolo MastroiacovoBetter outcomes are a priority for all those who care about birth defects and rare diseases. We propose three enhancements to improve the value of surveillance.
Low Zika Virus Seroprevalence in Vientiane, Laos, 2003–2015
by Pastorino et al.With a low herd immunity in the Vientiane population, ZIKV represents a risk for future large-scale outbreaks. Implementation of a nationwide ZIKV surveillance network and epidemiological studies throughout Laos is needed.
Advances in using Internet searches to track dengue
by Shihao Yang, Samuel C. Kou , Fred Lu, John S. Brownstein, Nicholas Brooke, Mauricio SantillanaDengue is a mosquito-borne disease that threatens over half of the world’s population. Despite being endemic to more than 100 countries, government-led efforts and tools for timely identification and tracking of new infections are still lacking in many affected areas. Multiple methodologies that leverage the use of Internet-based data sources have been proposed as a way to complement dengue surveillance efforts. Among these, dengue-related Google search trends have been shown to correlate with dengue activity. We extend a methodological framework, initially proposed and validated for flu surveillance, to produce near real-time estimates of dengue cases in five countries/states: Mexico, Brazil, Thailand, Singapore and Taiwan. Our result shows that our modeling framework can be used to improve the tracking of dengue activity in multiple locations around the world.
Outwitting dengue threat and epidemics resurgence in Asia-Pacific countries: strengthening integrated dengue surveillance, monitoring and response systems
by Tambo E et al.Strengthening integrated dengue surveillance, monitoring and response systems
Development of real-time tracking tools to monitor dengue
by NICHOLAS BROOKE & MAURICIO SANTILLANAReal-time dengue surveillance is critical for identifying areas where transmission is ongoing or likely to occur so that interventions can be optimized. Sophisticated new tools can help - and so can you.
Symptomatic Dengue in Children in 10 Asian and Latin American Countries
by Maïna L’Azou, M.Sc. et al.Secondary analysis of clinical trial data reveals dengue burden
Vector control, surveillance, drugs, diagnostics and vaccines all hold exciting potential but none can solve the problem alone. We need an integrated approach.
These findings suggest that the 2013 dengue epidemic in Angola was larger than indicated by passive surveillance data. Abstract During the 2013 dengue epidemic in Luanda, Angola, 811 dengue rapid diagnostic test-positive cases were reported to the Ministry of Health. To better understand the magnitude of the epidemic and identify risk factors for dengue virus (DENV) infection, we conducted cluster surveys around households of case-patients and randomly selected households 6 weeks after the peak of the epidemic. Of 173 case cluster participants, 16 (9%) exhibited evidence of recent DENV infection. Of 247 random cluster participants, 25 (10%) had evidence of recent DENV infection. Of 13 recently infected participants who had a recent febrile illness, 7 (54%) had sought medical care, and 1 (14%) was hospitalized with symptoms consistent with severe dengue; however, none received a diagnosis of dengue. Behavior associated with protection from DENV infection included recent use of mosquito repellent or a bed net. These findings suggest that the 2013 dengue epidemic was larger than indicated by passive surveillance data.