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78 Genus 1 (2022)

handle is hein.journals/genus78 and id is 1 raw text is: Gupta and Mani Genus (2022)78:1 https-//doi.org/10.1186/s41118-021-00149-z RGNAL ARTpenues Assessing mortality registration in Kerala: the MARANAM study Aashish Gupta and Sneha Sarah Mani2 *Correspondence: aashisgupta@hsph.harvard. Abstract edu Complete or improving civil registration systems in sub-national areas in low- and mid- for PovaCenter de-income countries provide several opportunities to better understand population and Development Studies, health and its determinants. In this article, we provide an assessment of vital statistics Harvard University; r.i.c.e., in Kerala, India. Kerala is home to more than 33 million people and is a comparatively a c nsstut low-mortality context. We use individual-level vital registration data on more than 2.8 for Compassionate o-otltcotx.W usiniiullvlvtlrgsrtodaanmrehn28 Economics,9 Bow Street, million deaths between 2006 and 2017 from the Kerala MARANAM (Mortality and Reg- Cambridge, MA 02138, USA istration Assessment and Monitoring) Study. Comparing age-specific mortality rates s avtfau n o ohen from the Civil Registration System (CRS) to those from the Sample Registration System article (SRS), we do not find evidence that the CRS underestimates mortality. Instead, CRS rates are smoother across ages and less variable across periods. In particular, the CRS records higher death rates than the SRS for ages, where mortality is usually low and for women. Using these data, we provide the first set of annual sex-specific life tables for any state in India. We find that life expectancy at birth was 77.9 years for women in 2017 and 71.4 years for men. Although Kerala is unique in many ways, our findings strengthen the case for more careful attention to mortality records within low- and middle-income countries, and for their better dissemination by government agencies. Introduction Records of births and deaths are among the most important statistics that states and societies collect and maintain (Szreter and Breckenridge, 2012). Reliable mortality reg- istration systems help individuals access social and governmental resources, provide timely information to monitor health, and generate essential data to evaluate the deter- minants of mortality (AbouZahr et al., 2015). These records are the basis of life table databases for high-income countries, such as the Human Mortality Database (Barbieri et al., 2015). Mortality registration, however, is incomplete in many low- and middle- income countries (AbouZahr et al., 2012). These systems miss many vital events, biasing mortality estimates downward (Mathers et al., 2005). The unreliability and incompleteness of mortality registration in developing countries has motivated demographers to develop and use indirect or survey-based approaches for estimating mortality levels (Department of International Economic and Social Affairs, 1983; Hill, 1991; Moultrie et al., 2013; Timaeus, 1991). These approaches include estimating mortality rates from (a) survival of relatives-often siblings or parents (Brass ©The Author(s), 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits Springer Open use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original -- author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the mate- rial. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directlyfrom the copyright holder.To view a copyof this licence, visit httpy/ creativecommons.org/licenses/by/4.0/.

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