A call for standardised age-disaggregated health data.

The 2030 Sustainable Development Goals agenda calls for health data to be disaggregated by age. However, age groupings used to record and report health data vary greatly, hindering the harmonisation, comparability, and usefulness of these data, within and across countries. This variability has become especially evident during the COVID-19 pandemic, when there was an urgent need for rapid cross-country analyses of epidemiological patterns by age to direct public health action, but such analyses were limited by the lack of standard age categories. In this Personal View, we propose a recommended set of age groupings to address this issue. These groupings are informed by age-specific patterns of morbidity, mortality, and health risks, and by opportunities for prevention and disease intervention. We recommend age groupings of 5 years for all health data, except for those younger than 5 years, during which time there are rapid biological and physiological changes that justify a finer disaggregation. Although the focus of this Personal View is on the standardisation of the analysis and display of age groups, we also outline the challenges faced in collecting data on exact age, especially for health facilities and surveillance data. The proposed age disaggregation should facilitate targeted, age-specific policies and actions for health care and disease management

Below-replacement fertility of ethnic Indians in Fiji: a decomposition analysis of the components of changes in the total fertility rate

The population of Fiji consists of two major ethnic groups, Fijians and Indians; it also comprises other groups, such as Europeans, Chinese and other Pacific Islands. The 2007 Census showed that there were 56.8 % Fijians and 37.5 % Indians, with the remaining 5.7 % consisting of other groups. This paper examines ethnic variation in fertility using current fertility estimated directly from the census data. As the Fiji census continued to gather information on the relationship of mothers with their own children, this information has been used to estimate fertility trends over the past 15 years preceding the census by the application of the own-children method. Fiji has recently undergone a spectacular decline in fertility but with a marked variation between Fijians and Indians. The total fertility rate (TFR) among Indians dropped to 2.8 in 1986 and 2.5 in 1996. It continued to decline further, approaching below the replacement fertility of 1.9 in 2007. By contrast, Fijian fertility reached 3.9 in 1996. As with that of Indians, Fijian fertility also fell sharply, to 3.2 in 2007. This paper uses a decomposition analysis technique to determine the components of changes in the TFRs due to marital structure and marital fertility among Fijians and Indians, covering the intercensal periods, 1966–1976, 1976–1986, 1986–1996 and 1996–2007