India - IN021 Excess Mortality: Surveillance Episodes Datasets
Reference ID | IN021-EXMORTALITY-02 |
Year | 2003 - 2021 |
Country | India |
Producer(s) |
Dr Anand Kawade - KEM Hospital Research Centre Pune Dr Sanjay Juvekar - KEM Hospital Research Centre Pune Dr Dhiraj Agarwal - KEM Hospital Research Centre Pune |
Sponsor(s) | Bill & Melinda Gates Foundation, Seattle, WA - BMGF - Current Funder |
Metadata | Documentation in PDF |
Created on
Dec 22, 2023
Last modified
Mar 22, 2024
Page views
2456
Overview
Identification
IN021-EXMORTALITY-02 |
Version
v1: Dataset for public distribution. 2023-06-01
Overview
Following the declaration of COVID-19 as a pandemic by the World Health Organization, there have been high levels of reported deaths, at least in countries with functioning civil registration and vital statistics (CRVS). These largely under-represent the true mortality due to COVID-19. A fundamental question, then, is what is the impact of COVID-19 on mortality and the scale of excess deaths, and the population sub-groups most affected, particularly in low- and middle-income settings? Constructing a true representation of COVID-19 deaths can be useful for social policies and future pandemic preparedness planning. The goal of this initiative is to characterise all-cause mortality rates and trends, by age and sex, across a range of rural and urban sub-Saharan African and South Asian settings under continuous health and demographic surveillance. This a multinational initiative bringing together 17 sites/centres from Africa and South Asia. This dataset represents a snapshot of the continually evolving data in the underlying longitudinal databases maintained by the nodes.
Event history data
Exposure Episodes
Scope
Each record in the dataset represents a period of observation for an individual during which all the recorded characteristics of the individual stay constant. For example, on the birthday of the individual a new episode will start, because the age of the individual has changed. An out-migration will result in a new episode, because the location or residential status has changed. Any change in one of the status values, such as education or marital status, will likewise result in a new episode on the date of the change.Topic | Vocabulary | URI |
---|---|---|
Episodes, Mortality, Migration |
Coverage
The data are collected from the Vadu health and socio-demographic surveillance area in rural, Pune, India. The Vadu site covers approximately 235 km2 in Pune district, Shirur and Haveli block in western part of India. Households resident in dwellings within the study area will be eligible for inclusion in the surveillance. All individuals identified by the household proxy informant as a member of the household will be enumerated. A resident household member is an individual that intends to sleep the majority of time at the dwelling occupied by the household over a four-month period. Households will include resident and non-resident members. An individual is a non-resident member if they have close ties to the household, but do not physically reside with the household most of the time. They can also be called temporary migrants and they are enumerated within the household list. Because household membership is not tied to physical residency, an individual may be a member of more than one household.
Producers and Sponsors
Name | Affiliation |
---|---|
Dr Anand Kawade | KEM Hospital Research Centre Pune |
Dr Sanjay Juvekar | KEM Hospital Research Centre Pune |
Dr Dhiraj Agarwal | KEM Hospital Research Centre Pune |
Name | Affiliation | Role |
---|---|---|
Uddhavi Kand | KEM Hospital Research Centre Pune | Technical Assistance |
Bharat Choudhari | KEM Hospital Research Centre Pune | Technical Assistance |
Sandeep Bhujbal | KEM Hospital Research Centre Pune | Technical Assistance |
Arunkumar Gondhali | KEM Hospital Research Centre Pune | Technical Assistance |
Tapas Kumar Mohanty | KEM Hospital Research Centre Pune | Technical Assistance |
Name | Abbreviation | Role |
---|---|---|
Bill & Melinda Gates Foundation, Seattle, WA | BMGF | Current Funder |
Name | Affiliation | Role |
---|---|---|
Vadu HDSS Field Research Assistants | KEM Hospital Research Centre Pune | Data collection |
SAMRC/Wits Agincourt Team | Agincourt | Data Review |
Kobus Herbst | SAPRIN | Data Review And QA |
Beth Tippett-Barr | Nyanja Health Research Institute | Reviews |