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Dirofilariasis is a zoonotic vector-borne disease transmitted by at least 27 species of the genus Dirofilaria (Spirurida, Onchocercidae), especially D. repens and D. immitis (canine or dog heartworm). The disease is widely distributed and the reservoirs are mainly mammals from approximately 111 species including canids. Presently, dirofilariasis in humans is considered to be an emerging disease in some regions (Azari-Hamidian et al., 2007, 2009; Simón et al., 2012). At present, at least 77 mosquito species (Diptera: Culicidae) of the genera Culex, Aedes, Anopheles, Mansonia, Coquillettidia, Psorophora, and Culiseta are presumed to have a role in the transmission of dirofilariasis, while the third-stage infective larvae (L3) have been detected from in a few field-captured dipteral species (Azari‐Hamidian et al., 2009). The mosquitoes can become infected by ingestion of blood meal from microfilaremic host. The ingested microfilaria can develop to infected (L1, L2) and subsequently into the infective larvae (L3) in the Malpighian tubules. The L3 migrate to the mosquito proboscis. The L3’s transmit through mosquito bite and become sexually mature in the pulmonary artery and right ventricles of suitable mammalian final host (Ledesma and Harrington, 2011). Heartworm disease is endemic disease, mainly locate in regions with temperate and tropical climate. The transmission of dirofilariasis from endemic to the new area directly depend on availability of microfilaremic hosts, competent vectors as well as a favored ecological factors for development of larval stages to L3 in the mosquitoes (Sassnau et al., 2014). The role of ecological key factors has been proposed for development of dirofilarial larvae in possible vectors for specific locations (Brown et al., 2012). Most of the field studies only reported the prevalence in mosquitoes. So, it is important to perform a comprehensive study to evaluate these key factors. The monitoring of mosquitoes for the infection was based on dissection method which is the gold standard (Latrofa et al., 2012). The experimental studies allow the evaluation of vector competence of suspected mosquitoes for transmission of dirofilariasis (Nayar and Knight, 1999). The results of such experimental studies have been recorded, but no comprehensive evaluation of vector efficiency has been done in all mosquitoes to date. The current systematic review and meta-analysis were conducted on published studies, documenting the prevalence of D. immitis infected (L1-L2)/infective(L3) mosquitoes from field surveys, examine the effect of different key factors on their overall prevalence and comprehensively assess the vector competence from experimental studies.
Material and methods
Research was conducted in accordance with Systematic Reviews and Meta-Analysis (PRISMA) 2015 Guidelines (Moher et al., 2015).
Search strategy and study design
Original search studies that evaluated the mosquito vectors for D. immitis in field and experiment were screened in PubMed, Embase, Web of Sciences, Scopus, and Google Scholar up to October 10, 2019. The keys terms used for searching in literature were ‘Dirofilaria immitis’, ‘vector’, ‘prevalence’, ‘Culicidae’, and ‘mosquitoes’ with the Boolean operators ‘OR’ and/or ‘AND’. The manually searched in the reference lists of the collected studies was also performed. After removal of duplicate articles, the retrieved papers were screened by title and abstract by two independent authors to exclude any that were irrelevant to our study question (S. R. and R. SM). The full text of the remaining articles was evaluated to identify eligible articles. Studies were considered eligible if they had cross-sectional design. Results were screened initially excluding all studies that did not included D. immitis and vectors. The other exclusion criteria were: non original paper (review, systematic reviews, case reports, letter or editorial articles, thesis), unidentified filarial species, undefined data, and lacking control groups for experimental studies. The experimental vector competence studies as well as the field studies were included.
Data extraction
Data were extracted from published articles, evaluating the prevalence of D. immitis infected/infective mosquitoes from field and experimental studies in an Excel form (Microsoft, Redmond, WA, USA). The data extraction was performed by S. R. and R. SM. and in cases of discrepancy, consensus was carried out by discussion with A. S. Subsequently, an author (S. R) extracted the requisite data, and the others (R. SM. and A. S.) rechecked them. Data analysis was performed by R. SM. For field study, the following items were extract: ‘General information’ including first author, year of implementation (The years for collection of samples), and location; geographical data of sampling site including average temperature, annual rainfall, humidity, WHO regional office, altitude, latitude, longitude; ‘vectorial characteristics’ including number of samples, total number of pools, total number of D. immitis infected/infective mosquitoes. In some studies, mosquitoes were evaluated individually for both head+thorax and abdomen in order to differentiate infective and infected specimens, and in others, different parts of mosquitoes were studied in pools. In order to consistency of calculations, in studies in which mosquitoes were studied individually each mosquito was considered as a one pool. So, pool in this study defines as a number of one or more mosquitoes that were placed in a one cluster and considered as a unit of study. The total number of infective and infected pool of mosquitoes was calculated as a number of pools that have an infective and infected larvae stages, respectively. Minimal infected/infective rate, calculated as the ratio of the number of positive pools of infected/infective mosquitoes to the total pool of tested mosquitoes, assumes that there is only one infected/infective individual in each positive pool. Since the nominator and denominator of fraction were the same, it has little effect on the infected/infective rate. For experiment study, the general information and vectorial characteristics were extracted. To quantitatively evaluate vector competence, overall prevalence of D. immitis infection and infective stage in filed and experiment collected mosquitoes was performed.
Quality assessment
Evaluation of the included study quality was conducted by two authors (R. SM and S. R.) independently using the Newcastle-Ottawa Scale (Stang, 2010). Briefly, maximum of nine scores was defined for the following items including the subject selection criteria (0-4 points), comparability of subjects (0-2 points), and exposure (0-3 points). The papers with a total score of 0 to 3, 4 to 6, and 7 to 9 points were specified as the poor, moderate, and high quality, respectively.
Data synthesis and statistical analysis
The STATA software version 13 was used for meta-analysis (Stata Corp LP, College Station, Texas). The main goals were the evaluation of prevalence of D. immitis in field collected vectors and assessment the competence of suspected vector for D. immitis in experimental studies by dissection and molecular methods. The evaluation of field and experimental studies was performed separately. First, random effects model was used for calculation of overall estimates. Metaprop was used for calculating overall prevalence using a Freeman–Tukey double arcsine transformation and then confidence intervals (CI = 95%) for each survey were assessed (Freeman and Tukey, 1950; Harris et al., 2008; Nyaga et al., 2014). Next, the key factors that could be the source of heterogeneity for the prevalence of infection and infective were assessed using meta-regression and subgroup analyses for some factors such as: data collection years, country, mean temperature, annual rainfall, humidity, WHO regional office, altitude, latitude, detection type, vector genus, and vector species. Heterogeneity among studies was evaluated by statistical tests and graphical (i.e., Cochran’s Q test, I2 statistics, and Galbraith). The range of I2 was between 0 and 100%. I2 > 70% were considered heterogeneous (Higgins, 2008; Riahi and Mokhayeri, 2017). In this study the relationship between exposures and outcome was not studied, so evaluation of publication bias was not logical (Mokhayeri et al., 2018). The significance level of ≤0.05 was considered.
Results
Inclusion of studies and data extraction
A flow chart for identification, screening, exclusion, and finally including of retrieved article was shown in Figure 1. A total of 985 literatures was at first screened that of which 680 were removed as duplicated. After that, initial searching using title and abstract (n = 305 articles) was performed. After screening, 210 articles were excluded and full text of remaining papers (n = 95) reviewed for evaluating of eligibility, which of those 53 record removed (Fig. 1). From 42 included articles, 33 and 9 studies were field studies and laboratory experiments, respectively. The selected articles from field study involved 19 countries from Pan American Health Organization (PAHO) (21%), European Region (EURO) (52.6%), Eastern Mediterranean Regional Office (EMRO) (5.2%), and Western Pacific Regional Office (WPRO) (21%). Studies were published over a 29-year period (1990-2019). Molecular assay was used in 9 out of 33 field study and 3 out of 9 experimental studies to identify the D. immitis larvae in vectors (Tables 1, 2).
Characteristics of the individual studies included in the meta-analysis based on eligibility criteria.
Meta-analysis for estimating overall prevalence of Dirofilaria immitis infected/infective stages in the filed collected mosquitoes
Meta-analysis was performed for estimating overall prevalence of D. immitis infected/infective stages in the genera and species of field collected mosquitoes (Table 3). The magnitude of the overall prevalence differed largely across all mosquito genera and species. When reporting overall prevalence of D. immitis infected stages in vectors, it ranged between 6.7 per 1000 (95% CI: 3.48-10.88 per 1000) in Cx. pipiens complex and 49.5 per 1,000 (95% CI: 14.7-101.6 per 1000) in Ae. albopictus. The overall prevalence of D. immitis infected stages across all mosquito species was 21.8 per 1000 (95% CI: 14.06-31.18 per 1,000) and heterogeneity was substantial (I2 = 98.5%). Subgroup analysis for infective rate in vector produced overall prevalence ranging from 0 per 1,000 in Ochlerotatus sollicitans to 19.2 per 1,000 in Cx. theileri (95% CI: 0.06-62.5 per 1,000). The overall prevalence of D. immitis infective stages across all mosquito species was 2.6 per 1,000 (95% CI: 0.97-4.77 per 1,000) and heterogeneity was substantial (I2 = 94.4%).
Subgroup meta-analysis of studies reporting Dirofilaria immitis infected and infective rates in vectors grouped by mosquito genus and species.
Minimum infected ratea
Minimum infective rateb
Variable
pool size
Positive pool
Overall prevalence (95% CI)
I2c
Q
Positive pool
Overall prevalence (95% CI)
I2
Q
Total
124,480
1,071
21.86 (14.06-31.1)
98.5
2,475.9
235
2.6 (0.97-4.77)
94.4
622.1
Aedes
62,924
526
29.5 (17.21-46.4)
97.5
1,016.7
138
1.8 (0.03-5.3)
91.6
298.4
Culex
16,652
260
12.36 (5.8-20.88)
92.9
241.8
42
1.28 (0.0-4.04)
83.3
95.6
Anopheles
4,244
157
51.37 (5-133.5)
98.1
372.9
19
3.14 (0.0-12.2)
75.5
28.6
Ochlerotatus
5,382
73
43.29 (0.1-140.6)
96.3
54.9
24
0.97 (0.14-2.27)
0.0
–
Cx. quinciafasiatus
4,892
168
24.7 (7.79-49.4)
92
62.7
13
2.6 (0.0-12.46)
87.6
40.2
Ae. polynesiensis
24,041
198
31.8 (3.5-85.5)
98
100.8
53
1.8 (0.5-3.86)
32.7
2.9
Oc. taeniorhynchus
2,517
44
12.6 (8.42-17.5)
0.0
–
32
4.1 (1.73-7.31)
0.0
–
Oc. sollicitans
2,539
25
0
–
–
2
0
–
–
Cx. pipiens
5,518
43
6.7 (3.48-10.88)
59.7
19.8
7
0.62 (0-2.29)
48.3
15.5
Ae. ochcaspius
285
14
48.6 (25.81-77.6)
0.0
–
4
10.7 (0.91-27.7)
0.0
–
Ae. vexans
13,439
77
47.1 (1.08-135)
97.6
299.3
30
6.2 (0.0-38.53)
94.0
117.2
Cx. theileri
1,574
43
35.3 (2.06-101.4)
96.2
78.5
25
19.2 (0.06-62.5)
94.5
54.3
Ae. albopictus
2,298
151
49.5 (14.7-101.6)
95.3
169.7
25
3.2 (0.00-15.30)
86.3
58.6
Notes:a,bThe result present as a case per 1,000; cheterogenicity index.
Meta-analysis for evaluating risk factor on overall prevalence of Dirofilaria immitis infected/infective stages in vectors
Different factors were analyzed on overall prevalence of D. immitis infected/infective stages in vectors (Tables 4, 5). The overall prevalence of dirofilariasis decreased with implementation years from 2000 to 2019. Dirofilariasis prevalence differs between countries. The overall prevalence of D. immitis infective stages in vectors ranged from 1.4 per 1,000 (95% CI: 0.3-3 per 1,000) in Brazil to 52.6 per 1,000 (95% CI: 25.5-94.7 per 1,000) in Iran. The greatest overall prevalence of infective rate was reported across studies conducted in the Eastern Mediterranean Region, longitude 80 to 110 (12.5 per 1,000, 95% CI: 0.0-49 per 1,000), latitude 20 to 40 (5.7 per 1,000, 95% CI: 1.3-12.2 per 1,000), annual rainfall 250 to 500 millimeter (5.1 per 1,000, 95% CI: 1.4-10.2 per 1,000), sea level 26 to 100 (11.2 per 1,000, 95% CI: 0.3-34.6 per 1,000) and <1,000 meter (10 per 1,000, 95% CI: 0.0-35.1 per 1,000), humidity 66-70% (7.4 per 1,000, 95% CI: 1.2-18 per 1,000) during 2000 to 2005 (9.6 per 1,000, 95% CI: 0.0-36.4 per 1,000) by dissection methods (4.5 per 1,000, 95% CI: 1.6-8.6 per 1,000). The mean temperatures of collection sites vary from 7 to 28°C. The higher infective rate was report between 15 and 21°C.
Subgroup meta-analysis of field studies reporting pool prevalence Dirofilaria immitis infected/infective rates in vectors grouped by country.
Minimum infected ratea
Minimum infective rateb
Variable
Pool size
Positive pool
Overall prevalence (95% CI)
I2c
Positive pool
Overall prevalence (95% CI)
I2
Global
124,480
1,071
21.9 (14-31.2)
98.6
235
2.6 (1-4.8)
94.4
PAHO
18,690
451
32.4 (13.3-59)
98.2
101
3.8 (0.1-11.1)
95.3
Argentina
2,462
5
0 (0-1.4)
99.9
0
0 (0-0.3)
99.8
Brazil
3,988
56
13.2 (9.8-17.1)
99.9
8
1.4 (0.3-3)
99.8
Mexico
867
32
25 (15.4-36.8)
99.9
21
9.4 (3.7-17.3)
99.8
USA
11,373
358
57.9 (8.1-146.5)
99
72
4 (0-23.4)
96.8
EURO
57,717
240
14.8 (5-28.7)
97.2
71
2.2 (0.1-6.2)
92.9
Italy
3,808
121
30.3 (3.1-80.6)
97.7
30
6.3 (0-20.8)
91.9
Portugal
2,389
58
23.1 (17.4-29.6)
99.5
25
10 (6.3-14.5)
98.4
Slovakia
187
4
14.7 (0.9-39.4)
99.5
0
0 (0-10.2)
98.4
Spain
2,825
4
1.3 (0.2-3.2)
0
1
0.1 (0-1.3)
0
Turkey
613
17
24.5 (12.7-39.3)
5.1
15
21.4 (10.4-35.5)
34.2
Czech
237
0
0 (0-15.4)
0
0
0 (0-15.4)
0
France
797
29
36.4 (24.5-51.8)
–
0
0 (0-4.6)
–
Germany
955
2
2.1 (0.3-7.5)
–
0
0 (0-3.9)
–
Russia
78
5
64.1 (21.2-143)
–
0
0 (0-46.2)
–
Australia
2,389
0
0 (0-0.1)
–
0
0 (0-0.1)
–
EMRO
190
15
78.9 (44.9-126.9)
–
10
52.6 (25.5-94.7)
–
Iran
190
15
78.9 (44.9-126.9)
–
10
52.6 (25.5-94.7)
–
WPRO
47,883
365
25.6 (6.1-57.4)
98.9
53
0.3 (0-2.0)
81.2
French Polynesia
1,194
28
23.5 (15.6-33.7)
–
4
3.4 (0.9-8.6)
–
Samoa
41,980
179
4.3 (3.7-4.9)
–
49
1.2 (0.9-1.5)
–
Taiwan
4,537
146
32.2 (27.2-37.7)
–
0
0 (0.0-0.8)
–
South-Korea
172
12
69.8 (36.6-118.7)
–
0
0 (0.0-21.2)
–
Notes:a,bThe result presents as a case per 1,000; cheterogenicity index.
Subgroup meta-analysis of field studies reporting pool prevalence D. immitis infected and infective rates in vectors grouped by risk factor.
Minimum infected ratea
Minimum infective rateb
Variable
Pool size
Positive pool
Overall prevalence (95% CI)
I2c
Positive pool
Overall prevalence (95% CI)
I2
Latitude
0-20
44,470
245
16.9 (3.2-40.1)
96.6
53
0.5 (0.2-0.9)
1.8
20-40
25,560
609
29 (15.1-46.9)
97.7
129
5.7 (1.3-12.2)
95.1
>40
54,450
217
17.4 (4.5-37)
98.3
53
1.70 (0-6.1)
93.1
Longitude
0-10
4,218
86
13.1 (1.3-36)
95.7
24
1.9 (0-9.5)
90.9
10-20
52,621
128
12 (1.8-29.6)
98.1
32
2.1 (0-6.7)
93.3
20-50
4,745
96
29.9 (12.9-52.6)
81.9
33
8.4 (0-26-9)
87.8
50-80
12,150
129
6.1 (0-18.8)
93.7
18
0 (0-1.4)
66.9
80-110
2,473
234
58.1 (9.1-143)
97.7
75
12.5 (0-49)
96
>110
48,273
398
34.8 (11.5-69.4)
98.8
53
0.3 (0-1.7)
75.1
Mean temperature °C
7-14.9
52,431
190
23.3 (7.3-46.9)
98
47
2.5 (0-8.1)
92.3
15-21.9
18,905
404
19.6 (6-39.9)
98.1
106
4.1 (0.4-10.4)
94.2
22-28.1
53,144
477
23.9 (10.8-41.5)
98.1
82
1.9 (0.1-5.1)
90.9
Annual rainfall (mm)
<250
49,029
5
0.4 (0-3)
79.5
1
0 (0-0.1)
37.3
251-500
24,280
509
27.8 (16.6-41.5)
96
100
5.1 (1.4-10.2)
92
501-1,000
8,801
345
32 (9.8-65.7)
97.9
85
3.4 (0-12.7)
94.9
>1,000
42,370
212
3.9 (3.3-4.6)
99.7
49
0.6 (0.3-0.9)
99.3
Sea level (m)
<25
15,367
281
28.7 (12.4-50.9)
96.4
52
3.4 (0.2-9.1)
87.8
26-100
6,945
291
36.1 (4.7-93.7)
98.9
98
11.2 (0.3-34.6)
97.6
101-200
95,282
379
13.3 (4.1-26.8)
99.2
57.9
0 (0-1.1)
93.7
201-1000
4,067
58
12.3 (1.4-31.7)
94
3
0.1 (0-1)
0
>1,000
2,819
62
27.8 (4.4-67.3)
95.1
25
10 (0-35.1)
93.8
Mean humidity (%)
<65
5,171
73
12.3 (1.5-29.6)
89.5
24
5.8 (0-19.6)
89.6
66-70
15,821
413
26.9 (6.1-61.1)
98.8
104
7.4 (1.2-18)
95.9
71-75
51,514
132
24.4 (8.2-48.1)
97.6
31
1.8 (0-7.1)
91
76-80
8,579
235
22.2 (9.9-38.8)
93.1
27
1.2 (0-8.5)
93.7
>80
43,395
218
14.1 (0.9-39.4)
95.3
0.49
0.1 (0-0.3)
0
Detection method
PCR
60,539
425
19.3 (7.9-34.9)
98.3
113
2 (0-5.7)
93.7
Dissection
63,941
646
30.5 (1.5-48.5)
98.8
122
4.5 (1.6-8.6)
95.2
Implementation year
1992-2000
55,222
360
10.5 (4-19.7)
97.3
75
0.9 (0.4-1.6)
40.7
2000-2005
6,221
257
57.3 (14.5-124.7)
98
27
9.6 (0-36.4)
96.6
2006-2010
8,525
132
24.4 (10.1-43.9)
95.3
41
3.7 (0.1-10.3)
89.6
2011-2015
6,313
283
19.9 (2.6-50.2)
94.4
91
3.8 (0-14.6)
93.5
2016-2018
48,199
39
10.3 (0–35.1)
97.4
1
0 (0-0.1)
45.4
Notes:a,bThe result presents as a case per 1,000; cheterogenicity index.
Meta-analysis of experimental studies for overall prevalence of Dirofilaria immitis infected/infective stages in mosquitoes
The total sample size of experimental studies was 4,512. The overall prevalence of D. immitis infected and infective stages in mosquitoes were 397 per 1,000 (95% CI: 154.5-636.5 per 1,000) and 84.7 per 1,000 (95% CI: 20.5-183.8 per 1,000), respectively. The PCR technique was more sensitive than morphological tests. Anopheles spp were accused as a more competent vector than other mosquitoes for transmission of D. immitis (Table 6).
Subgroup meta-analysis of experimental studies reporting Dirofilaria immitis infected and infective rates in vectors grouped by mosquito genus and species.
Minimum infected ratea
Minimum infective rateb
Variable
Pool size
Positive pool
Overall prevalence (95% CI)
I2
Positive pool
Overall prevalence (95% CI)
I2
Overall
4,512
1,524
379.9 (154.5-636.5)
89.2
251
84.7 (20.5-183.8)
98.8
Method PCR
271
161
649.2 (459.5-817.8)
99.7
44
194.6 (55-388.8)
99.4
Method Dissection
4,241
1,363
253.7 (40.4-565.7)
99.6
207
46.9 (0.9-147)
99.1
Ae. spp.
1,506
905
482.2 (105.2-871.6)
99.6
168
132.4 (17.3-324.2)
98.5
Cx. spp.
2,893
561
61.2 (0.5-197)
98.8
65
55.9 (2.7-163.1)
98.2
An. spp.
90
58
644.4 (536.5-742.6)
–
16
177.8 (105.2-274.6)
–
Oc. spp.
0
0
0
0
0
Notes:a,bThe result presents as a case per 1,000.
Discussion
Summary of evidence
This is the first study that aimed to summarizing information from field and experiments studies related to overall prevalence of D. immitis infected/infective mosquitoes using a meta-analysis. The potency of mosquito species to become infected and then transmit D. immitis is an important step that led to the accurate measurement the role of vectors in transmission (Morchón et al., 2012). Based on our result, the prevalence of infective stages of D. immitis in field mosquitoes was different according to genus and species. The most infective rate belongs to Anopheles spp., Aedes spp., and Culex spp. with the overall prevalence of 3.1 per 1,000 (95% CI: 0-12.2 per 1,000), 1.8 per 1,000 (95% CI: 0.03-5.3 per 1,000), and 1.2 per 1,000 (95% CI: 0-4.4 per 1,000), respectively. Due to the higher species diversity of Anopheles compare to other studied genera and the high infective rate among species of this genus, it was expected to have the highest rate of infectivity for Anopheles spp. Interestingly, the overall prevalence of the D. immitis infective mosquitoes in experimental studies was the same of field cached mosquitoes in accordance to the genus. D. immitis is sub-periodic, with peak density of microfilaria in a host’s peripheral circulation during the evening, presumably synchronizing with circadian cycles of their potential vectors. So, Culex theileri with feeding behavior of nocturnal is also among the species with the highest overall prevalence of D. immitis infected and infective stages. (Ledesma and Harrington, 2011). The prevalence rate of mosquitoes in field studies were varied in different geographical property, including latitude, longitude, mean temperature, annual rainfall, sea level, and humidity. The factor ‘country’ should be explicate with the many factors such as different national vector control measures and ecological context (Genchi et al., 2009). Diverse ecological and geographical characteristics can also contribute toward biological variation. Climate change together with a shifting weather patterns facilitate the development of mosquitoes vectors of D. immitis and faster larvae development on them (Morchón et al., 2012). Today, it was completely determined that climate pattern can affect vector-borne disease transmission. In this meta-analysis study, it was shown that the high infected and infective rate was registered at the temperature optima of 15 to 21°C that it may be due to a suitable temperature for the development of the infectious stages of D. immitis in the mosquito. In this regard, Iran with average temperature of 17.5 had a highest registered D. immitis infective rate among the world. The extrinsic development is possible above 14°C and it takes e.g. 10 to 12 days at 24 to 26°C (Silaghi et al., 2017). One of the main reasons for decrease of infection rate at higher temperatures despite the appropriateness of the extrinsic period may be due to the high mortality rate of insects (Bayoh and Lindsay, 2004). The other important factors that could influence vector behavior and survival is relative humidity (Brown et al., 2012). Based on the current meta-analysis study, the mean humidity for highest infective rate was 66 to 70%. In this regard, the highest infective rate was belonged to the studies in Iran and Turkey with relative humidity of 72 and 62% at sampling sites. The standard laboratory conditions for transformation of microfilaria to infective larvae on mosquitoes are at a temperature of 25°C and relative humidity of 85% (Silaghi et al., 2017), while it was 15 to 21°C and relative humidity of 66 to 70% for field condition. In the experimental studies, the optimum condition for infection of mosquitoes is provided, so as expected, the overall prevalence of D. immitis infection of mosquitoes in the experimental studies is higher than the field studies.
Strength
To our knowledge, our work is the only study to evaluate an overall prevalence of D. immitis in vectors. The other strength of this study were comprehensive literature searches, rigorous methodology, studies from different part of the world, defined clear inclusion and exclusion criteria.
Limitation
This study has some limitations that are based on the nature of the published studies such as different diagnostic test in included studies. Further, some studies published in local journals may be missed.
Conclusion
Based on finding of this study, among different genera of mosquitoes, the genus of Anopheles were introduced as a potential vectors of Heartworm disease with the highest infective rate. It must be considered that in addition to the infection rate other factor such as host preference; vector feeding behavior; mortality rates of infected vector; vector and host abundance and microfilaremic reservoir and susceptible host encounter rate are important for affecting transmission of mosquito species (Ledesma and Harrington, 2011). This study showed that the WHO region Number, humidity, longitude, latitude, annual rainfall, sea level, the year of implementation and identification methods may affect the overall prevalence of infected and infective rate.