Table 1 Weighted malaria prevalence estimates and 95% confidence intervals between DHS and NMS4 by demographic and geographic variables among 6–59-month-old children in Nigeria, 2018.

From: Plasmodium falciparum infection prevalence among children aged 6–59 months from independent DHS and HIV surveys: Nigeria, 2018

 

DHS

NMS4

Microscopy

RDT

HRP2 bead assay

Prevalence (95% CI)

Prevalence (95% CI)

Prevalence (95% CI)

Total

22.6 (21.2–24.1)

36.2 (34.6–37.8)

38.3 (36.7–39.9)

Sex

 Female

21.8 (20.0–23.6)

35.7 (33.9–37.6)

37.7 (35.7–39.7)

 Male

23.4 (21.7–25.2)

36.6 (34.7–38.6)

39.0 (37.0–41.0)

Age in months

 6–23

17.9 (16.1–19.7)

28.9 (27.0–30.8)

23.2 (20.5–25.9)

 24–35

20.1 (17.8–22.5)

36.6 (34.1–39.1)

35.3 (32.8–37.9)

 36–47

24.3 (21.9–26.7)

40.5 (37.9–43.2)

41.2 (38.7–43.6)

 48–59

30.8 (28.2–33.5)

42.7 (40.2–45.3)

45.2 (42.6–47.7)

Month of collection

 July

29.3 (23.3–35.4)

 August

14.5 (9.2–19.8)

26.2 (19.5–32.9)

31.5 (28.1–34.9)

 September

25.1 (22.1–28.1)

38.3 (34.9–41.6)

39.4 (35.5–43.2)

 October

23.3 (20.2–26.3)

37.6 (34.0–41.3)

48.6 (45.4–51.8)

 November

22.0 (18.9–25.2)

36.8 (33.2–40.4)

42.2 (39.0–45.3)

 December

22.2 (17.9–26.5)

35.0 (30.6–39.5)

35.1 (31.0–39.2)

State

 North Central

21.2 (18.0–24.5)

37.0 (33.1–40.9)

41.0 (37.1–44.9)

 Benue

12.7 (8.5–17.0)

26.0 (19.2–32.8)

31.0 (22.4–39.7)

 FCT

20.1 (13.2–26.9)

31.3 (22.1–40.5)

22.1 (10.7–33.5)

 Kogi

25.4 (16.2–34.6)

46.0 (35.0–56.9)

46.0 (35.4–56.7)

 Kwara

20.2 (12.3–28.2)

43.7 (30.0–57.4)

44.7 (28.9–60.6)

 Nasarawa

13.6 (7.2–20.1)

32.1 (22.9–41.4)

46.5 (34.1–58.8)

 Niger

31.6 (22.5–40.7)

43.8 (35.9–51.7)

51.3 (44.0–58.6)

 Plateau

21.4 (12.7–30.2)

37.2 (25.5–48.9)

31.9 (23.3–40.5)

 North East

19.9 (16.8–22.9)

35.6 (32.3–38.9)

41.8 (37.6–46.0)

 Adamawa

21.1 (12.8–29.5)

38.9 (28.7–49.0)

52.8 (44.4–61.1)

 Bauchi

30.6 (21.9–39.2)

48.6 (40.8–56.3)

46.1 (38.4–53.7)

 Borno

10.0 (5.5–14.5)

16.2 (10.5–21.8)

23.5 (11.9–35.2)

 Gombe

30.3 (21.7–39.0)

52.0 (43.1–60.8)

51.3 (41.4–61.1)

 Taraba

20.8 (15.0–26.7)

35.2 (28.2–42.1)

49.4 (40.5–58.2)

 Yobe

13.3 (7.5–19.1)

30.3 (23.5–37.2)

26.7 (18.5–34.9)

 North West

33.8 (30.4–37.1)

49.5 (46.1–52.9)

49.6 (46.2–52.9)

 Jigawa

35.7 (29.0–42.4)

49.4 (43.0–55.8)

51.6 (44.4–58.8)

 Kaduna

33.0 (24.6–41.4)

34.3 (26.5–42.1)

58.2 (49.9–66.4)

 Kano

32.4 (25.0–39.8)

43.0 (35.3–50.7)

33.9 (26.2–41.5)

 Katsina

25.5 (18.4–32.5)

55.4 (47.5–63.3)

52.2 (45.3–59.2)

 Kebbi

52.2 (43.1–61.3)

76.8 (70.1–83.5)

71.8 (64.2–79.4)

 Sokoto

36.4 (26.8–45.9)

54.7 (45.5–63.8)

63.8 (56.4–71.3)

 Zamfara

35.7 (23.7–47.8)

51.8 (40.6–62.9)

43.9 (34.4–53.4)

 South East

15.7 (12.3–19.0)

26.1 (22.4–29.8)

33.3 (29.9–36.7)

 Abia

13.5 (6.4–20.5)

20.7 (13.0–28.4)

24.3 (16.3–32.4)

 Anambra

8.8 (4.2–13.5)

15.2 (10.0–20.3)

14.9 (9.0–20.7)

 Ebonyi

30.5 (22.6–38.5)

49.3 (41.6–57.1)

54.1 (47.0–61.3)

 Enugu

17.4 (8.7–26.2)

30.2 (20.3–40.0)

35.8 (27.3–44.2)

 Imo

7.8 (2.5–13.1)

15.6 (9.5–21.7)

22.1 (16.1–28.0)

 South South

15.6 (12.0–19.3)

25.4 (21.7–29.2)

27.5 (24.2–30.8)

 Akwa Ibom

23.2 (14.5–31.9)

33.2 (26.1–40.3)

44.3 (36.2–52.3)

 Bayelsa

12.5 (8.1–17.0)

30.1 (22.8–37.4)

26.6 (16.8–36.4)

 Cross River

19.5 (6.9–32.0)

26.4 (15.0–37.7)

48.0 (38.2–57.9)

 Delta

17.0 (6.6–27.5)

24.9 (14.7–35.2)

26.5 (19.1–33.9)

 Edo

14.7 (7.0–22.5)

19.1 (10.5–27.6)

29.2 (20.7–37.6)

 Rivers

11.2 (4.8–17.5)

22.3 (14.9–29.8)

25.6 (18.3–32.9)

 South West

18.4 (15.2–21.6)

28.9 (25.3–32.5)

22.4 (19.4–25.3)

 Ekiti

32.3 (23.0–41.6)

46.3 (36.5–56.2)

50.3 (38.7–61.9)

 Lagos

1.8 (0.1–3.4)

3.4 (1.3–5.5)

3.5 (1.5–5.4)

 Ogun

21.6 (14.2–29.0)

32.2 (22.7–41.7)

22.7 (13.6–31.8)

 Ondo

33.5 (24.1–42.9)

41.6 (29.2–54.0)

38.6 (27.2–50.0)

 Osun

27.7 (20.7–34.8)

54.9 (46.4–63.5)

47.4 (35.8–59.0)

 Oyo

23.8 (14.8–32.7)

33.9 (26.4–41.5)

42.5 (34.0–51.0)

  1. DHS Demographic Health Survey, FCT Federal Capital Territory, HRP2 Histidine-rich protein 2, NMS4 Nigeria Multi-disease Serologic Surveillance using Stored Specimens, RDT rapid diagnostic test.