RESUMEN
The SARS-CoV-2 Delta variant emerged shortly after COVID-19 vaccines became available in 2021. We describe SARS-CoV-2 breakthrough infections in a highly vaccinated, well-monitored US Embassy community in Kampala, Uganda. Defining breakthrough infection rates in highly vaccinated populations can help determine public health messaging, guidance, and policy globally.
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COVID-19 , SARS-CoV-2 , COVID-19/epidemiología , COVID-19/prevención & control , Vacunas contra la COVID-19 , Humanos , SARS-CoV-2/genética , Uganda/epidemiologíaRESUMEN
Although most people who inject drugs (PWID) report receiving assistance during injection initiation events, little research has focused on risk factors among PWID for providing injection initiation assistance. We therefore sought to determine the influence of non-injection drug use among PWID on their risk to initiate others. We used generalized estimating equation (GEE) models on longitudinal data among a prospective cohort of PWID in Tijuana, Mexico (Proyecto El Cuete IV), while controlling for potential confounders. At baseline, 534 participants provided data on injection initiation assistance. Overall, 14% reported ever initiating others, with 4% reporting this behavior recently (i.e., in the past 6 months). In a multivariable GEE model, recent non-injection drug use was independently associated with providing injection initiation assistance (adjusted odds ratio [AOR] = 2.42, 95% confidence interval [CI] = 1.39-4.20). Further, in subanalyses examining specific drug types, recent non-injection use of cocaine (AOR = 9.31, 95% CI = 3.98-21.78), heroin (AOR = 4.00, 95% CI = 1.88-8.54), and methamphetamine (AOR = 2.03, 95% CI = 1.16-3.55) were all significantly associated with reporting providing injection initiation assistance. Our findings may have important implications for the development of interventional approaches to reduce injection initiation and related harms. Further research is needed to validate findings and inform future approaches to preventing entry into drug injecting.
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Cocaína/administración & dosificación , Conducta Cooperativa , Consumidores de Drogas/psicología , Consumidores de Drogas/estadística & datos numéricos , Heroína/administración & dosificación , Metanfetamina/administración & dosificación , Abuso de Sustancias por Vía Intravenosa/psicología , Adulto , Anciano , Estudios de Cohortes , Femenino , Humanos , Estudios Longitudinales , Masculino , México , Persona de Mediana Edad , Oportunidad Relativa , Estudios Prospectivos , Factores de Riesgo , Adulto JovenRESUMEN
During an Ebola virus disease (EVD) outbreak, calculating the exposure window of a confirmed case can assist field investigators in identifying the source of infection and establishing chains of transmission. However, field investigators often have difficulty calculating this window. We developed a bilingual (English/French), smartphone-based field application to assist field investigators in determining the exposure window of an EVD case. The calculator only requires the reported date of symptoms onset and the type of symptoms present at onset or the date of death. Prior to the release of this application, there was no similar electronic capability to enable consistent calculation of EVD exposure windows for field investigators. The Democratic Republic of the Congo Ministry of Health endorsed the application and incorporated it into trainings for field staff. Available for Apple and Android devices, the calculator continues to be downloaded even as the eastern DRC outbreak resolved. We rapidly developed and implemented a smartphone application to estimate the exposure window for EVD cases in an outbreak setting.
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Algoritmos , Brotes de Enfermedades/prevención & control , Ebolavirus/aislamiento & purificación , Implementación de Plan de Salud/legislación & jurisprudencia , Fiebre Hemorrágica Ebola/epidemiología , Medición de Riesgo/métodos , Programas Informáticos , Teléfono Celular/estadística & datos numéricos , República Democrática del Congo/epidemiología , Notificación de Enfermedades/estadística & datos numéricos , Fiebre Hemorrágica Ebola/diagnóstico , Fiebre Hemorrágica Ebola/transmisión , Fiebre Hemorrágica Ebola/virología , HumanosRESUMEN
BACKGROUND: Despite insecurity challenges in Somalia, key indicators for acute flaccid paralysis (AFP) surveillance have met recommended targets. However, recent outbreaks of vaccine-derived polioviruses have raised concerns about possible gaps. We analyzed nonpolio enterovirus (NPEV) and Sabin poliovirus isolation rates to investigate whether comparing these rates can inform about the integrity of stool specimens from inaccessible areas and the likelihood of detecting circulating polioviruses. METHODS: Using logistic regression, we analyzed case-based AFP surveillance data for 1348 cases with onset during 2014-2017. We assessed the adjusted impacts of variables including age, accessibility, and Sabin-like virus isolation on NPEV detection. RESULTS: NPEVs were more likely to be isolated from AFP case patients reported from inaccessible areas than accessible areas (23% vs 15%; P = .01). In a multivariable model, inaccessibility and detection of Sabin-like virus were positively associated with NPEV detection (adjusted odds ratio [AOR], 1.75; 95% confidence interval [CI], 1.14-2.65; and AOR, 1.79; 95% CI, 1.07-2.90; respectively), while being aged ≥5 years was negatively associated (AOR, 0.42; 95% CI, 0.20-0.85). CONCLUSIONS: Rates of NPEV and Sabin poliovirus detection in inaccessible areas suggest that the integrity of fecal specimens tested for AFP surveillance in Somalia can generate useful AFP data, but uncertainties remain about surveillance system quality.
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The Centers for Disease Control and Prevention (CDC) Global Rapid Response Team (GRRT) was launched in June 2015 to strengthen the capacity for international response and to provide an agency-wide roster of qualified surge-staff members who can deploy on short notice and for long durations. To assess GRRT performance and inform future needs for CDC and partners using rapid response teams, we analyzed trends and characteristics of GRRT responses and responders, for deployments of at least 1 day during October 1, 2018, through March 31, 2019. One hundred twenty deployments occurred during the study period, corresponding to 2645 person-days. The median deployment duration was 19 days (interquartile range, 5-30 days). Most deployments were related to emergency response (n = 2367 person-days, 90%); outbreaks of disease accounted for almost all deployment time (n = 2419 person-days, 99%). Most deployments were to Africa (n = 1417 person-days, 54%), and epidemiologists were the most commonly deployed technical advisors (n = 1217 person-days, 46%). This case study provides useful information for assessing program performance, prioritizing resource allocation, informing future needs, and sharing lessons learned with other programs managing rapid response teams. GRRT has an important role in advancing the global health security agenda and should continuously be assessed and adjusted to new needs.