The University of Southampton
University of Southampton Institutional Repository

Do international surveys and censuses exhibit ‘dry season’ bias?

Wright, J.A., Yang, Hong and Walker, Kate (2011) Do international surveys and censuses exhibit ‘dry season’ bias? Population, Space and Place, 18, (1), pp. 116-126. (doi:10.1002/psp.681).

Record type: Article

Abstract

This study aims to assess whether Demographic and Health Surveys (DHS) and population censuses in developing countries are predominantly conducted during drier months and are therefore subject to seasonal bias. We examined field implementation dates of 176 DHS conducted in 64 countries and enumeration dates of the latest population censuses in 59 of those countries. We compared dry versus wet season implementation rates, distinguishing seasons using mean precipitation estimates and Koppen climate classes for each country. For countries with seasonal precipitation climates, 23% of 39 censuses were conducted in the wet season, compared with an expected 47%. In the same countries, 43.3% of DHS fieldwork took place in the wet season, compared with an expected 45.4%. There was thus a slight tendency for DHS and greater, statistically significant tendency for censuses to be implemented in drier months. Thus, the recent censuses analysed exhibit greater ‘dry season’ bias than DHS when viewed internationally. Since past studies have identified seasonal patterns in diarrhoea incidence, water source and malarial bednet use, care should be taken when comparing census and survey results for these variables internationally

Full text not available from this repository.

More information

Accepted/In Press date: 2011
Organisations: PHEW – S (Spatial analysis and modelling), Remote Sensing & Spatial Analysis

Identifiers

Local EPrints ID: 188521
URI: http://eprints.soton.ac.uk/id/eprint/188521
ISSN: 1544-8444
PURE UUID: 1034bf3f-9323-45ec-afd1-d10f986063b8

Catalogue record

Date deposited: 04 Jul 2011 08:04
Last modified: 18 Jul 2017 11:42

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×