Malaria Parasites Detected at Study Site


73.60%, the group <5 years old has the lowest rate of 3.73%. The ethnic groups and occupations of the surveyed subjects are mainly Kinh and Stieng ethnic groups, accounting for the majority of 44.53% and 41.73%, respectively. The main occupation of the surveyed subjects at the research site is farming and forestry, accounting for 46.54%.

3.1.2. Malaria parasites detected at the study site

Table 3.2. Malaria parasite infection rate at the study site



Dak O Commune

(n=399)

Bu Gia Map Commune

(n=351)

Total of 02 communes

(n=750)

Technical review

test

KSTSR infection

KSTSR infection

KSTSR infection


Have (%)

Are not

(%)

Have (%)

Are not

(%)

Have (%)

Are not

(%)

Real-Time PCR

72

(18.05)

327

(81.95)

107

(30.48)

244

179

(23.87)

571

(76.13)

RDT

03

(0.75)

396

(99.25)

07 (2.0)

344

(98.0)

10

(1.33)

740

(98.67)

KHV

09

(2.56)

390

(97.74)

07 (2.0)

344

(98.0)

16

(2.13)

734

(97.87)

Overall infection rate

72

(18.05)

327

(81.95)

107

(30.48)

244

179

(23.87)

571

(76.13)

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Malaria Parasites Detected at Study Site

Results of cross-sectional survey in Bu Bung, Bu Khon, Bu Ka villages, Dak O commune and Bu Lu, Bu Ren, Dak Con villages, Bu Gia Map commune, showed that the rate of malaria parasites detected by Real-Time PCR, RDT and blood smear microscopy was unevenly distributed between villages of the two communes.

The overall rate of malaria parasites detected by Real-Time PCR technique in Dak O and Bu Gia Map communes was 23.87%, the rate of malaria parasites detected by RDT was 1.33% and the rate of malaria parasites detected by blood smear microscopy was 2.13%.


Table 3.3. Species composition of malaria parasites detected at the study site (n=750)

KSTSR species

Testing techniques

n

P.

falciparum

n (%)


P. vivax

n (%)


P. falciparum + P. vivax n (%)

Total n (%)

Real-Time PCR






Dak O

399

61 (15.29)

07 (1.75)

04 (1.0)

72 (18.05)

Fat Bu Gia Map

351

55 (15.67)

30 (8.55)

22 (6.27)

107 (30.48)

Add

750

116 (15.47)

37 (4.93)

26 (3.47)

179 (23.87)

RDT






Dak O

399

03 (0.75)

00 (0.0)

00 (0.0)

03 (0.75)

Fat Bu Gia Map

351

05 (1.42)

02 (0.57)

00 (0.0)

07 (2.0)

Add

750

08 (1.07)

02 (0.27)

00 (0.0)

10 (1.33)

KHV






Dak O

399

08 (2.01)

01 (0.25)

00 (0.0)

09 (2.56)

Fat Bu Gia Map

351

05 (1.42)

02 (0.57)

00 (0.0)

07 (2.0)

Add

750

13 (1.73)

03 (0.40)

00 (0.0)

16 (2.13)

The rate of malaria parasite infection detected by Real-Time PCR technique was 23.87%. Of which, malaria parasite caused by P. falciparum accounted for 15.47%, malaria parasite caused by P. vivax accounted for 4.93% and mixed infection of P. falciparum + P. vivax accounted for 3.47%.

The proportion of malaria parasites detected by RDT technique was 1.33%, of which P. falciparum parasites accounted for 1.07% and P. vivax parasites accounted for 0.27%. The proportion of malaria parasites detected by microscopic examination of blood smears was 2.13%, of which P. falciparum parasites accounted for 1.73% and P. vivax parasites accounted for 0.40%. The RDT and microscopic examination of blood smears in this study did not detect subjects infected with mixed malaria parasites.



90

80

70

60

50

40

30

20

10

0

80.0%

81.25%

64.8%

20.67%

14.53%

20.0%

18.75%

0.0%

0.0%

Real-Time PCR

P. falciparum

RDT

P. vivax

KHV

PH


Figure 3.1. Structure of malaria parasite species detected by testing techniques

The malaria parasite species caused by P. falciparum accounted for the highest proportion of the total malaria parasites detected, in which P. falciparum detected by blood smear microscopy accounted for 81.25%, RDT accounted for 80.0% and Real-Time PCR technique accounted for 64.80%.

Table 3.4. Rate of malaria parasite infection detected at the study site


Technical review

test

Location

n

Parasitic infection (n= 750)

P

Have (%)

Are not (%)

Real-Time

PCR

Dak O

399

72 (18.05)

327 (81.95)

<0.05

Fat Bu Gia Map

351

107 (30.48)

247 (69.52)

RDT

Dak O

399

03 (0.75)

396 (99.25)

>0.05 *

Fat Bu Gia Map

351

07 (2.0)

344 (98.0)

KHV

Dak O

399

09 (2.56)

390 (97.74)

>0.05

Fat Bu Gia Map

351

07 (2.0)

344 (98.0)

* : Fisher exact correction

The rate of malaria parasite infection detected by Real-Time PCR technique in Dak O commune and Bu Gia Map commune has a difference of p<0.05. However, the rate of malaria parasite detected


By RDT technique and blood smear microscopy in the two communes, there was no difference p>0.05.

3.1.3. Malaria parasite prevalence distribution according to characteristics of the study subjects


12.2

12.1

12

11.9

11.8

11.7

11.6

11.5

12.13%

11.73%


Male

Female


Figure 3.2. Parasite prevalence distribution by sex of study subjects. Parasite prevalence at the study site using real-time PCR technique.

Men account for 12.13%, equivalent to women account for 11.73%.


18.0%

20

5.20%

10

0.66%

0

<5 years old

5-15 years old

>15 years old


Figure 3.3. Rate of parasitic infection by age group of study subjects. The rate of parasitic infection was highest in subjects >15 years old 18.0%, lowest

The highest infection rate was in the <5 years old group at 0.66% and in the 5-15 years old group at 5.20%.



9.87%

10.13%

12

10

8

6

4

2

0

2.53%

1.33%

Terrible

Stieng

Tay, Nung, M'Nong

Other


Figure 3.4. Parasitic infection rates by ethnicity of study subjects

1211.33%

10


8


6

4.14%

4.40%

4


2


0

Farming Forestry Trading Housework Student Other

The Stieng ethnic group has a malaria parasite infection rate of 10.13%, higher than the Kinh ethnic group at 9.87% and other ethnic groups at 1.33%.



2.80%





0.53% 0.67%



Figure 3.5. Rate of parasite infection according to occupation of the study subjects. Rate of parasite infection in subjects working in fields and forests is 14.13%, students and

Housewives account for 8.54%, the lowest are traders and housewives account for 1.20%.


3.1.4. Describe some related epidemiological factors and history of malaria

Variable


Frequency

Percentage


At home

129

17.20

On the farm

406

54.13


In the forest

38

5.07


Elsewhere

177

23.60

Length of stay at the location

<1 year

13

1.73

direction

≥1 year

737

98.27

Have

85

11.33

Table 3.5. Some epidemiological factors related to malaria


Accommodation within 14 days


Crossing the border


Sleep at home with mosquito net at night

Are not


No 665 88.67

There are 743 99.07

No 07 0.93


Have

67

8.93

Are not

683

91.07

Have

154

20.53


Are not

596

79.47


Have

210

28.00

Ever had malaria

Are not

531

70.80


Don't remember

09

1.20

Sleeping in the forest


Sleeping while working in the fields


Epidemiological factors related to malaria infection of subjects at the research site in the 14 days before the survey, when interviewed, the majority of the research subjects were in the fields (54.13%), at home (17.20%), in the forest (5.07%) and elsewhere (23.60%). Subjects who have time to stay, live and work in the locality

≥1 year accounted for 98.27% and had border exchanges between Vietnam and Cambodia accounted for 11.33%. The rate of regularly sleeping under mosquito nets at night accounted for 99.07%, and sleeping over when


Going to the forest accounted for 8.93%, sleeping in the fields accounted for 20.53% and having a history of malaria accounted for 28.0%.


21.52%

70

22.71%

60

28.57%

21.81%

20.74%

50

40

47.76%

30

32.94%

31.82%

31.90%

20

23.82%

10

0

Border exchange

Sleep under mosquito net at home

Sleeping in the woods

Sleeping in the field

Ever had malaria

Yes No

Figure 3.6. Malaria parasite infection rate distributed by epidemiological factors

The rate of malaria parasite infection in subjects with border exchanges was 32.94%, higher than that of subjects without exchanges at 22.71%, and the rate of malaria parasite infection in subjects who slept in the forest was 47.76%, while those who did not sleep in the forest had an infection rate of 21.52%. The rate of malaria parasite infection in subjects who slept in the fields was 31.82%, while those who did not sleep in the fields had an infection rate of 21.81%. On the other hand, subjects with a history of malaria had a rate of malaria parasite infection of 30.91%, and subjects who had never had malaria had an infection rate of 20.74%. In subjects who regularly slept under mosquito nets at home at night at the research site, the rate of malaria parasite infection in these subjects was 23.82%, while those who did not sleep under mosquito nets or did not regularly had an infection rate of 28.57%.


3.1.5. Describe some factors related to the rate of malaria parasite infection at the study site

Table 3.6. Description of some factors related to malaria parasite infection rate with general characteristics of the study subjects

Parasitic infection (n= 750)

Variable

Have (%)

n=179

Are not (%)

n=571

OR

CI 95%

P

Gender

calculate

Male

91 (27.08)

245 (72.92)

1.38

0.97-1.95

0.06

Female

88 (21.26)

326 (78.74)

Group

year old

<5 years old

05 (17.86)

23 (82.14)

1



5 - 15 years old

39 (22.94)

131 (77.06)

1.37

0.49-3.84

0.55

>15 years old

135 (24.46)

417 (75.54)

1.49

0.56-3.99

0.43


Terrible

74 (22.16)

260 (77.84)

1




S'tieng

76 (24.28)

237 (75.72)

1.13

0.78-1.62

0.52

Nation

Tay, Nung,

Dream Farmer


19 (36.54)


33 (63.46)


2.02


1.09-3.76


0.03


Other ethnic groups

10 (19.61)

41 (80.39)

0.86

0.41-1.79

0.68


Farming

85 (28.72)

211 (71.28)

1




Forestry

21 (39.62)

32 (60.38)

1.63

0.89-2.98

0.11

Profession

career

Trade

04 (15.38)

22 (84.62)

0.45

0.15-1.35

0.15

Housewife

05 (17.24)

24 (82.76)

0.52

0.19-1.40

0.19


Pupil

31 (22.14)

109 (77.86)

0.71

0.44-1.31

0.15


Other

33 (16.02)

173 (83.98)

0.47

0.30-0.74

0.001

The rate of malaria parasite infection in the Tay, Nung, and Mo Nong ethnic groups was 2.02 times higher than that of the Kinh ethnic group, and the rate of malaria parasite infection in those with other occupations was only 0.47 times higher than that of the farming group, the difference was statistically significant p<0.05.

The rate of KSTSR infection between gender and age groups in the study was not statistically different, p>0.05.

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