BackgroundIn early 2020, during the COVID-19 pandemic, New Zealand implemented graduated, risk-informed national COVID-19 suppression measures aimed at disease elimination. We investigated their impacts on the epidemiology of the first wave of COVID-19 in the country and response performance measures. MethodsWe did a descriptive epidemiological study of all laboratory-confirmed and probable cases of COVID-19 and all patients tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in New Zealand from Feb 2 to May 13, 2020, after which time community transmission ceased. We extracted data from the national notifiable diseases database and the national SARS-CoV-2 test results repository. Demographic features and disease outcomes, transmission patterns (source of infection, outbreaks, household transmission), time-to-event intervals, and testing coverage were described over five phases of the response, capturing different levels of non-pharmaceutical interventions. Risk factors for severe outcomes (hospitalisation or death) were examined with multivariable logistic regression and time-to-event intervals were analysed by fitting parametric distributions using maximum likelihood estimation. Findings 1503 cases were detected over the study period, including 95 (6•3%) hospital admissions and 22 (1•5%) COVID-19 deaths. The estimated case infection rate per million people per day peaked at 8•5 (95% CI 7•6-9•4) during the 10-day period of rapid response escalation, declining to 3•2 (2•8-3•7) in the start of lockdown and progressively thereafter. 1034 (69%) cases were imported or import related, tending to be younger adults, of European ethnicity, and of higher socioeconomic status. 702 (47%) cases were linked to 34 outbreaks. Severe outcomes were associated with locally acquired infection (crude odds ratio [OR] 2•32 [95% CI 1•40-3•82] compared with imported), older age (adjusted OR ranging from 2•72 [1•40-5•30] for 50-64 year olds to 8•25 [2•59-26•31] for people aged ≥80 years compared with 20-34 year olds), aged residential care residency (adjusted OR 3•86 [1•59-9•35]), and Pacific peoples (adjusted OR 2•76 [1•14-6•68]) and Asian (2•15 [1•10-4•20]) ethnicities relative to European or other. Times from illness onset to notification and isolation progressively decreased and testing increased over the study period, with few disparities and increasing coverage of females, Māori, Pacific peoples, and lower socioeconomic groups.Interpretation New Zealand's response resulted in low relative burden of disease, low levels of population disease disparities, and the initial achievement of COVID-19 elimination.

The strategy in New Zealand (Aotearoa) to eliminate coronavirus disease requires that international arrivals undergo managed isolation and quarantine and mandatory testing for severe acute respiratory syndrome coronavirus 2. Combining genomic and epidemiologic data, we investigated the origin of an acute case of coronavirus disease identified in the community after the patient had spent 14 days in managed isolation and quarantine and had 2 negative test results. By combining genomic sequence analysis and epidemiologic investigations, we identified a multibranched chain of transmission of this virus, including on international and domestic flights, as well as a probable case of aerosol transmission without direct person-to-person contact. These findings show the power of integrating genomic and epidemiologic data to inform outbreak investigations.

Since the first wave of coronavirus disease in March 2020, citizens and permanent residents returning to New Zealand have been required to undergo managed isolation and quarantine (MIQ) for 14 days and mandatory testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of October 20, 2020, of 62,698 arrivals, testing of persons in MIQ had identified 215 cases of SARS-CoV-2 infection. Among 86 passengers on a flight from Dubai, United Arab Emirates, that arrived in New Zealand on September 29, test results were positive for 7 persons in MIQ. These passengers originated from 5 different countries before a layover in Dubai; 5 had negative predeparture SARS-CoV-2 test results. To assess possible points of infection, we analyzed information about their journeys, disease progression, and virus genomic data. All 7 SARS-CoV-2 genomes were genetically identical, except for a single mutation in 1 sample. Despite predeparture testing, multiple instances of in-flight SARS-CoV-2 transmission are likely.

INTRODUCTION: Maintaining good nutrition is vital for healthy ageing. Poor nutrition increases the risk of hospitalisation, disability and mortality. Research shows clinical malnutrition is preceded by a state of nutritional risk and screening can identify older people at risk of poor nutrition or who currently have impaired nutritional status. AIM: To assess the population prevalence of nutritional risk amongst community-living Maori and non-Maori older people in Hawke’s Bay. METHODS: A postal survey of 1268 people aged 65 years or older on the electoral roll for Hawke’s Bay was conducted. Nutritional risk was measured using the SCREEN II questionnaire. RESULTS: Responses from 473 people were received (43.8% male, 49.9% female, 6.3% unspecified) with an estimated average age of 74 years. Nutritional risk was present amongst 56.5% of older people with 23.7% at risk and 32.8% at high risk. Maori were 5.2 times more likely to be at nutritional risk than non-Maori. Older people living alone were 3.5 times more likely to be at nutritional risk than those living with others. The most frequent risk factors were low milk-product intake, perception of own weight being more or less than it should be, and low meat and alternatives intake. Skipping meals and low fruit and vegetable intake were additional frequent risk factors for Maori. DISCUSSION: Both living situation and ethnicity are associated with nutritional risk. Further investigation is needed to confirm these findings and to determine issues specific for older Maori, including barriers to good nutrition and opportunities for nutritional improvement. KEYWORDS: Maori; nutritional status; older people

Overall, we found that most differences in infant risk behaviours in a Pēpi-Pod compared to a bassinet were small, with confidence intervals excluding meaningful differences. We noted poorer maternal sleep quality at 1 month. Higher infant heart rates in the Pēpi-Pod group may be related to higher room temperatures. The Pēpi-Pod appears physiologically safe but is associated with lower reported maternal sleep quality.