Stringent nonpharmaceutical interventions (NPIs) such as lockdowns and border closures are not currently recommended for pandemic influenza control. New Zealand used these NPIs to eliminate ...coronavirus disease 2019 during its first wave. Using multiple surveillance systems, we observed a parallel and unprecedented reduction of influenza and other respiratory viral infections in 2020. This finding supports the use of these NPIs for controlling pandemic influenza and other severe respiratory viral threats.
We identified differences in the peripheral cellular immune response between mild and severe influenza. Our findings suggest that individuals with severe influenza may experience immune activation ...that, despite a slow start, is prolonged, compared with those with mild influenza.
Abstract
Background
The immunologic factors underlying severe influenza are poorly understood. To address this, we compared the immune responses of influenza-confirmed hospitalized individuals with severe acute respiratory illness (SARI) to those of nonhospitalized individuals with influenza-like illness (ILI).
Methods
Peripheral blood lymphocytes were collected from 27 patients with ILI and 27 with SARI, at time of enrollment and then 2 weeks later. Innate and adaptive cellular immune responses were assessed by flow cytometry, and serum cytokine levels were assessed by a bead-based assay.
Results
During the acute phase, SARI was associated with significantly reduced numbers of circulating myeloid dendritic cells, CD192+ monocytes, and influenza virus–specific CD8+ and CD4+ T cells as compared to ILI. By the convalescent phase, however, most SARI cases displayed continued immune activation characterized by increased numbers of CD16+ monocytes and proliferating, and influenza virus–specific, CD8+ T cells as compared to ILI cases. SARI was also associated with reduced amounts of cytokines that regulate T-cell responses (ie, interleukin 4, interleukin 13, interleukin 12, interleukin 10, and tumor necrosis factor β) and hematopoiesis (interleukin 3 and granulocyte-macrophage colony-stimulating factor) but increased amounts of a proinflammatory cytokine (tumor necrosis factor α), chemotactic cytokines (MDC, MCP-1, GRO, and fractalkine), and growth-promoting cytokines (PDGFBB/AA, VEGF, and EGF) as compared to ILI.
Conclusions
Severe influenza cases showed a delay in the peripheral immune activation that likely led prolonged inflammation, compared with mild influenza cases.
Reference laboratories are vital for disease control and interpreting the complexities and impact of emerging pathogens. The role of these centralized facilities extends beyond routine screening ...capabilities to provide rapid, specific, and accurate diagnoses, advanced data analysis, consultation services, and sophisticated disease surveillance and monitoring. Within the Australasian region, the Public Health Virology Laboratory (PHV), Forensic and Scientific Services, Department of Health, Queensland Government, Australia, and the Institute of Environmental Science and Research Limited (ESR), New Zealand (NZ) perform specialised reference testing and surveillance for dengue viruses (DENVs) and other emerging arthropod-borne viruses (arboviruses), including chikungunya virus (CHIKV) and Zika virus (ZIKV). With a focus on DENV, we review the reference testing performed by PHV (2005 to 2017) and ESR (2008 to 2017). We also describe how the evolution and expansion of reference-based methodologies and the adoption of new technologies have provided the critical elements of preparedness and early detection that complement frontline public health control efforts and limit the spread of arboviruses within Australasia.
The authors wish to make the following correction to Table 1 of this paper:
The DENV 1-4 DU5 MGB2017 real-time polymerase chain reaction (RT-rtPCR) assay should state that it is designed in the ...Capsid peptide coding region under the genome region column, and not the 3'UTR.
This change has no material impact upon the conclusions of our paper. The authors would like to apologize for any inconvenience caused to the readers by this change.
The failure to mount an antibody response following viral infection or seroconversion failure is a largely underappreciated and poorly understood phenomenon. Here, we identified immunologic markers ...associated with robust antibody responses after influenza virus infection in two independent human cohorts, SHIVERS and FLU09, based in Auckland, New Zealand and Memphis, Tennessee, USA, respectively. In the SHIVERS cohort, seroconversion significantly associates with (1) hospitalization, (2) greater numbers of proliferating, activated CD4+ T cells, but not CD8+ T cells, in the periphery during the acute phase of illness, and (3) fewer inflammatory monocytes (CD14hiCD16+) by convalescence. In the FLU09 cohort, fewer CD14hiCD16+ monocytes during early illness in the nasal mucosa were also associated with the generation of influenza-specific mucosal immunoglobulin A (IgA) and IgG antibodies. Our study demonstrates that seroconversion failure after infection is a definable immunological phenomenon, associated with quantifiable cellular markers that can be used to improve diagnostics, vaccine efficacy, and epidemiologic efforts.
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Post-infection seroconversion is associated with severity of influenza virus infectionSeroconverters have early proliferation and activation of CD4+ T cellsCD8+ T cells are unaffectedCD14hiCD16+ monocytes in the blood and nasal mucosa is associated with antibody response
Wong et al. show that antibody responsiveness after influenza virus infection is associated with CD4+ T cells and CD14hiCD16+ monocytes. CD14hiCD16+ monocytes are also important in the mucosal antibody response. This demonstrates that seroconversion failure after infection is a definable immunological phenomenon, an important consideration for diagnostics and epidemiological studies.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Estimation of consumption of illicit drugs by wastewater-based epidemiology provides estimates of community drug-use patterns. This study describes monitoring data of three illicit drugs in New ...Zealand using wastewater-based epidemiology.
Wastewater samples were collected at monthly intervals for larger (population ~ 50,000+) cities or in smaller towns where more data was required by authorities. In other smaller towns, samples were collected every 2 months. Samples were extracted and analysed for parent compounds and metabolites of methamphetamine, MDMA, cocaine, heroin and fentanyl consumption using solid-phase extraction followed by liquid chromatography coupled with tandem-mass spectrometry (LC-MS/MS) detection. Back calculations were performed to estimate the consumption of each drug in each catchment area.
Methamphetamine was the drug measured with the highest estimated mean consumption rates (724 mg/1000 people per day) in New Zealand. North Island small urban settlements had the highest estimated mean methamphetamine consumption rates (1259 mg/1000 people/day).
Cocaine had the lowest estimated consumption rates (9.4 mg/1000 people/day). The highest estimated mean cocaine consumption rate was in North Island major urban settlements (24.4 mg/1000 people/day).
Major urban settlements had the highest estimated mean MDMA (420 mg/1000 people/day) and cocaine consumption rates (18.8 mg/1000 people/day). South Island medium urban settlements had unexpectedly high estimated mean consumption rates of MDMA (533 mg/1000 people/day) and cocaine (17.0 mg/1000 people/day). The higher-than-expected estimated cocaine consumption was from one medium urban settlement that is also a popular tourist destination in the South Island.
Heroin biomarkers were not detected at any locations, and fentanyl was detected around or below the limit of reporting.
This research provides information for appropriate responses for improved social and health investment to support social services associated with illicit drug consumption.
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•Illicit drug consumption measured in up to 71 % of the New Zealand population•Wastewater-based epidemiology used to measure drug consumption in towns and cities.•Small settlements had the highest methamphetamine consumption.•Major urban settlements have the highest MDMA consumption.•Different drug consumption rates across the two main islands in New Zealand
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Abstract
Background
In contrast with respiratory disease caused by influenza, information on the risk of respiratory syncytial virus (RSV) disease among adults with chronic medical conditions (CMCs) ...is limited.
Methods
We linked population-based surveillance of acute respiratory illness hospitalizations to national administrative data to estimate seasonal RSV hospitalization rates among adults aged 18–80 years with the following preexisting CMCs: chronic obstructive pulmonary disease (COPD), asthma, congestive heart failure (CHF), coronary artery disease (CAD), cerebrovascular accidents (CVA), diabetes mellitus (DM), and end-stage renal disease (ESRD). Age- and ethnicity-adjusted rates stratified by age group were estimated.
Results
Among 883 999 adult residents aged 18–80 years, 281 RSV-positive hospitalizations were detected during 2012–2015 winter seasons. Across all ages, RSV hospitalization rates were significantly higher among adults with COPD, asthma, CHF, and CAD compared with those without each corresponding condition. RSV hospitalization rates were significantly higher among adults with ESRD aged 50–64 years and adults with DM aged 18–49 years and 65–80 years compared with adults in each age group without these conditions. No increased risk was seen for adults with CVA. The CMC with the highest risk of RSV hospitalization was CHF (incidence rate ratio IRR range, 4.6–36.5 across age strata) and COPD (IRR range, 9.6–9.7). Among RSV-positive adults, CHF and COPD were independently associated with increased length of hospital stay.
Conclusions
Adults with specific CMCs are at increased risk of RSV hospitalizations. Age affects this relationship for some CMCs. Such populations maybe relevant for future RSV prevention strategies.
Abstract
Background
Severe influenza illness is presumed more common in adults with chronic medical conditions (CMCs), but evidence is sparse and often combined into broad CMC categories.
Methods
...Residents (aged 18–80 years) of Central and South Auckland hospitalized for World Health Organization-defined severe acute respiratory illness (SARI) (2012–2015) underwent influenza virus polymerase chain reaction testing. The CMC statuses for Auckland residents were modeled using hospitalization International Classification of Diseases, Tenth Revision codes, pharmaceutical claims, and laboratory results. Population-level influenza rates in adults with congestive heart failure (CHF), coronary artery disease (CAD), cerebrovascular accidents (CVA), chronic obstructive pulmonary disease (COPD), asthma, diabetes mellitus (DM), and end-stage renal disease (ESRD) were calculated by Poisson regression stratified by age and adjusted for ethnicity.
Results
Among 891 276 adults, 2435 influenza-associated SARI hospitalizations occurred. Rates were significantly higher in those with CMCs compared with those without the respective CMC, except for older adults with DM or those aged <65 years with CVA. The largest effects occurred with CHF (incidence rate ratio IRR range, 4.84–13.4 across age strata), ESRD (IRR range, 3.30–9.02), CAD (IRR range, 2.77–10.7), and COPD (IRR range, 5.89–8.78) and tapered with age.
Conclusions
Our findings support the increased risk of severe, laboratory-confirmed influenza disease among adults with specific CMCs compared with those without these conditions.
Population-based surveillance of acute respiratory infections among Auckland, New Zealand residents during 2012–2015 revealed significantly higher incidence and risk of influenza-related hospitalizations in adults with chronic medical conditions, with the largest effects occurring in CHF, ESRD, CAD, and COPD.
•SARI had highest specificity in detecting influenza and RSV but lowest sensitivity.•Cough or shortness of breath had the highest sensitivity but the lowest specificity.•All case definitions had ...relatively low sensitivity.•Case definitions should fit the purpose of the surveillance system.•Surveillance systems for finding viruses might use more specific case definitions.•Surveillance systems for burden estimates might use more sensitive case definitions.
The WHO is exploring the value of adding RSV testing to existing influenza surveillance systems to inform RSV control programs. We evaluate the usefulness of four commonly used influenza surveillance case-definitions for influenza and RSV surveillance.
SHIVERS, a multi-institutional collaboration, conducted surveillance for influenza and RSV in four New Zealand hospitals. Nurses reviewed admission logs, enrolled patients with suspected acute respiratory infections (ARI), and obtained nasopharyngeal swabs for RT-PCR. We compared the performance characteristics for identifying laboratory-confirmed influenza and RSV severe acute respiratory infection (SARI), defined as persons admitted with measured or reported fever and cough within 10 days of illness, to three other case definitions: 1. reported fever and cough or shortness of breath, 2. cough and shortness of breath, or 3. cough.
During April-September 2012–2016, SHIVERS identified 16,055 admissions with ARI; of 6374 cases consented and tested for influenza or RSV, 5437 (85%) had SARI and 937 (15%) did not. SARI had the highest specificity in detecting influenza (40.6%) and RSV (40.8%) but the lowest sensitivity (influenza 78.8%, RSV 60.3%) among patients of all ages. Cough or shortness of breath had the highest sensitivity (influenza 99.3%, RSV 99.9%) but the lowest specificity (influenza 1.6%, RSV 1.9%). SARI sensitivity among children aged <3 months was 60.8% for influenza and 43.6% for RSV–both lower than in other age groups.
While SARI had the highest specificity, its sensitivity was limited, especially among children aged <3 months. Cough or shortness of breath was the most sensitive.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP