Regional variations in seasonality of births in Nigeria, 1990-2007: A trigonometric regression model approach
Background: Seasonality of births in Nigeria has been previously addressed in a small number of studies. This study was designed to explore and describe the regional variations in the seasonality of births in Nigeria. Data Source and Methods: A total of 82,827 births history data collected in the Ni...
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| Veröffentlicht in: | African Population Studies 2017, Vol.31 (1), p.3166-3178 |
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| container_title | African Population Studies |
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| creator | Cheserem, Leonard K Akinyemi, Joshua O Ayeni, Olusola |
| description | Background: Seasonality of births in Nigeria has been previously
addressed in a small number of studies. This study was designed to
explore and describe the regional variations in the seasonality of
births in Nigeria. Data Source and Methods: A total of 82,827 births
history data collected in the Nigerian Demographic Survey 2008 were
analyzed. It covered periods between January 1990 and December 2007.
Seasonal variation by month of birth was explored with the aid of
correlogram. A classical time series trigonometric regression model was
fitted to describe the pattern of seasonality. Findings: The reported
monthly distribution for number of births showed a significant seasonal
pattern with a peak in May and corresponding minima in November. Birth
patterns differ across the regions, but in every region, births are
concentrated in the first half of the year. Conclusion: Though, birth
seasonality is more pronounced in the northern part of the country,
there has been significant shift in the magnitude of variation in the
18 year period of study. |
| doi_str_mv | 10.11564/31-1-951 |
| format | Article |
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addressed in a small number of studies. This study was designed to
explore and describe the regional variations in the seasonality of
births in Nigeria. Data Source and Methods: A total of 82,827 births
history data collected in the Nigerian Demographic Survey 2008 were
analyzed. It covered periods between January 1990 and December 2007.
Seasonal variation by month of birth was explored with the aid of
correlogram. A classical time series trigonometric regression model was
fitted to describe the pattern of seasonality. Findings: The reported
monthly distribution for number of births showed a significant seasonal
pattern with a peak in May and corresponding minima in November. Birth
patterns differ across the regions, but in every region, births are
concentrated in the first half of the year. Conclusion: Though, birth
seasonality is more pronounced in the northern part of the country,
there has been significant shift in the magnitude of variation in the
18 year period of study.</description><identifier>ISSN: 0850-5780</identifier><identifier>ISSN: 2308-7854</identifier><identifier>EISSN: 2308-7854</identifier><identifier>DOI: 10.11564/31-1-951</identifier><language>eng</language><publisher>Johannesburg: Union for African Population Studies</publisher><subject>Birth ; Birth month ; Births ; Childbirth & labor ; Correlogram ; Demographics ; Magnitude of variation ; Monthly distribution ; Nigeria ; Regional differences ; Regional variations ; Regionalism ; Regression analysis ; Regression models ; Seasonal variations ; Seasonality of Births ; Seasons ; Studies ; Time series</subject><ispartof>African Population Studies, 2017, Vol.31 (1), p.3166-3178</ispartof><rights>Copyright 2017 - African Population Studies</rights><rights>2017. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4010,27321,27900,27901,27902,33751,79168</link.rule.ids></links><search><creatorcontrib>Cheserem, Leonard K</creatorcontrib><creatorcontrib>Akinyemi, Joshua O</creatorcontrib><creatorcontrib>Ayeni, Olusola</creatorcontrib><title>Regional variations in seasonality of births in Nigeria, 1990-2007: A trigonometric regression model approach</title><title>African Population Studies</title><description>Background: Seasonality of births in Nigeria has been previously
addressed in a small number of studies. This study was designed to
explore and describe the regional variations in the seasonality of
births in Nigeria. Data Source and Methods: A total of 82,827 births
history data collected in the Nigerian Demographic Survey 2008 were
analyzed. It covered periods between January 1990 and December 2007.
Seasonal variation by month of birth was explored with the aid of
correlogram. A classical time series trigonometric regression model was
fitted to describe the pattern of seasonality. Findings: The reported
monthly distribution for number of births showed a significant seasonal
pattern with a peak in May and corresponding minima in November. Birth
patterns differ across the regions, but in every region, births are
concentrated in the first half of the year. Conclusion: Though, birth
seasonality is more pronounced in the northern part of the country,
there has been significant shift in the magnitude of variation in the
18 year period of study.</description><subject>Birth</subject><subject>Birth month</subject><subject>Births</subject><subject>Childbirth & labor</subject><subject>Correlogram</subject><subject>Demographics</subject><subject>Magnitude of variation</subject><subject>Monthly distribution</subject><subject>Nigeria</subject><subject>Regional differences</subject><subject>Regional variations</subject><subject>Regionalism</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Seasonal variations</subject><subject>Seasonality of Births</subject><subject>Seasons</subject><subject>Studies</subject><subject>Time series</subject><issn>0850-5780</issn><issn>2308-7854</issn><issn>2308-7854</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RBI</sourceid><sourceid>BENPR</sourceid><sourceid>BHHNA</sourceid><recordid>eNpdkF1rFTEQhoMoeKxe-A8C3ih060w-dhPvSqlWKApFr0M2O3uasrs5JnsK_ffN6VEvCgMzvPMwHy9j7xHOEHWrPktssLEaX7CNkGCazmj1km3AaGh0Z-A1e1PKHYCQaNsNm29oG9PiJ37vc_RrrQuPCy_ky0GO6wNPI-9jXm-fGj_ilip4ytFaaARA94Wf8zXHbVrSTLUIPNM2Uyl1Fp_TQBP3u11OPty-Za9GPxV69zefsN9fL39dXDXXP799vzi_bnohbX2g1YNticD2chBD1wrRKz3SOPpgMQyjtkIH3YO2g5eBhJGojVIQSFk1WHnCPh7n1rV_9lRWN8cSaJr8QmlfHBqjwBoEqOiHZ-hd2uf6-YE6mNdqhZX6dKRCTqVkGt0ux9nnB4fgnox3Eh26anxlz45sH9MUF_qPhuqb-yfSrgZ29QL5CMzshLc</recordid><startdate>2017</startdate><enddate>2017</enddate><creator>Cheserem, Leonard K</creator><creator>Akinyemi, Joshua O</creator><creator>Ayeni, Olusola</creator><general>Union for African Population Studies</general><general>African Population Studies</general><scope>RBI</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7U4</scope><scope>7XB</scope><scope>88J</scope><scope>8BJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHHNA</scope><scope>BHPHI</scope><scope>BSCPQ</scope><scope>CCPQU</scope><scope>DPSOV</scope><scope>DWI</scope><scope>DWQXO</scope><scope>FQK</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>HEHIP</scope><scope>JBE</scope><scope>KC-</scope><scope>M2L</scope><scope>M2R</scope><scope>M2S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>UXAQP</scope><scope>WZK</scope></search><sort><creationdate>2017</creationdate><title>Regional variations in seasonality of births in Nigeria, 1990-2007: A trigonometric regression model approach</title><author>Cheserem, Leonard K ; 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addressed in a small number of studies. This study was designed to
explore and describe the regional variations in the seasonality of
births in Nigeria. Data Source and Methods: A total of 82,827 births
history data collected in the Nigerian Demographic Survey 2008 were
analyzed. It covered periods between January 1990 and December 2007.
Seasonal variation by month of birth was explored with the aid of
correlogram. A classical time series trigonometric regression model was
fitted to describe the pattern of seasonality. Findings: The reported
monthly distribution for number of births showed a significant seasonal
pattern with a peak in May and corresponding minima in November. Birth
patterns differ across the regions, but in every region, births are
concentrated in the first half of the year. Conclusion: Though, birth
seasonality is more pronounced in the northern part of the country,
there has been significant shift in the magnitude of variation in the
18 year period of study.</abstract><cop>Johannesburg</cop><pub>Union for African Population Studies</pub><doi>10.11564/31-1-951</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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| source | Bioline International; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Sociological Abstracts |
| subjects | Birth Birth month Births Childbirth & labor Correlogram Demographics Magnitude of variation Monthly distribution Nigeria Regional differences Regional variations Regionalism Regression analysis Regression models Seasonal variations Seasonality of Births Seasons Studies Time series |
| title | Regional variations in seasonality of births in Nigeria, 1990-2007: A trigonometric regression model approach |
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