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Modelling regional differentials in childhood and adult mortality in Nigeria

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Academic year: 2022

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Afam Bridget Ogochukwu, Olowolafe Tubosun Alex, Gbadebo Babatunde Makinde, & Adebowale Ayo Stephen

Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria

Email: afambridget@yahoo.com

𝑞𝑥 𝑝𝑥 = ⁄ 𝐴

(𝑥+𝐵)𝑐

+

𝐷𝑒

−𝐸(ln 𝑥−𝑙𝑛𝐹)2

+ 𝐺𝐻

𝑥

(2)
(3)

〖 〗

〖 〗

α β

α

(4)

α

α

α

α

(5)

α

(6)

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2

Nigeria North central North east North west South east South south South west

Probability of dying

Geopolitical zones

1q0 5q0

(7)

𝑙

(𝑛)

⁄ 𝑙

(15)

𝑙

𝑠

(𝑛) 𝑙

𝑠

(15) 𝜆

𝑠

(15)

(8)
(9)

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14

25 30 35 40 45 50

Probability

Exact age x

Nigeria North central North east North west South east South South South west

0 20000 40000 60000 80000 100000 120000

0 10 20 30 40 50 60 70 80 90

Survival probability/100,000

Age x

Nigeria North central North east North west South east South south South west

(10)

0 10 20 30 40 50 60 70 80

0 10 20 30 40 50 60 70 80 90

Life expectancy

Age x

Nigeria North central North east North west South east South south South west

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Figure 5:

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14

Nigeria North Central North East North West South East South South South West

P rob abi li ty of D y ing

Infant mortality Under-five mortality

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14

NC NE NW SE SS SW

Axis Title

BRASS L T H P NDHS

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2

NC NE NW SE SS SW

Axis Title

BRASS L T H P NDHS

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