High prevalence of Staphylococcus aureus and methicillin-resistant S. aureuscolonization among healthy children attending public daycare centers in informal settlements in a large urban center in Brazil
verfasst von:
Eneida Dias Vianna Braga, Fábio Aguiar-Alves, Maria de Fátima Nogueira de Freitas, Monique Oliveira de e Silva, Thami Valadares Correa, Robert E Snyder, Verônica Afonso de Araújo, Mariel Asbury Marlow, Lee W Riley, Sérgio Setúbal, Licínio Esmeraldo Silva, Claudete Aparecida Araújo Cardoso
In the past decade methicillin-resistant Staphylococcus aureus (MRSA) has become increasingly prevalent in community settings. Attending a daycare center (DCC) is a known risk factor for colonization with MRSA. Brazil operates free, public DCCs for low-income families, some of which are located in census tracts defined by the Brazilian Census Bureau as informal settlements (aglomerados subnormais, AGSN). Physical and demographic characteristics of AGSNs suggest that S. aureus colonization prevalence would be higher, but little is known about the prevalence of MRSA in these settings.
Methods
We conducted a cross-sectional study to assess risk factors for S. aureus and MRSA colonization among children attending DCCs located in AGSN vs non-AGSN. Nasal swabs were collected from children aged three months to six years in 23 public DCCs in Niterói, Brazil between August 2011 and October 2012.
Results
Of 500 children enrolled in the study, 240 (48%) were colonized with S. aureus and 31 (6.2%) were colonized with MRSA. Children attending DCCs in AGSNs were 2.32 times more likely to be colonized with S. aureus (95% CI: 1.32, 4.08), and 3.27 times more likely to be colonized with MRSA than children attending non-AGSN DCCs (95% CI: 1.52, 7.01), adjusted for confounding variables.
Conclusion
S. aureus and MRSA colonization prevalence among children attending DCCs in informal settlement census tracts was higher than previously reported in healthy pre-school children in Latin America. Our data suggest that transmission may occur more frequently in DCCs rather than at home, highlighting the importance of DCCs in AGSNs as potential MRSA reservoirs. This finding underscores the importance of local epidemiologic surveillance in vulnerable AGSN communities.
The online version of this article (doi:10.1186/1471-2334-14-538) contains supplementary material, which is available to authorized users.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
EDVB was responsible for primary data collection, literature review, conducted aspects of the data analysis, and wrote the report. FAA was responsible for study design, conducted the laboratory component, contributed to the data analysis, and reviewed the report. MFNF participated in primary data collection, in the laboratory analysis, and contributed to writing the manuscript. MOS and TVC participated in primary data collection, data entry, and contributed to writing the manuscript. RES conducted components of the data analysis and contributed to writing the manuscript. VAA participated in primary data collection, literature review, and contributed to writing the manuscript. MAM participated in statistical analysis and reviewed the report. LWR contributed to the data analysis and reviewed the report. LES contributed to study design, preliminary data analyses, and reviewed the report. SS contributed to study design, and reviewed the report. CAAC was responsible for study design, contributed to data analysis, and reviewed the report. All authors reviewed the manuscript and approved the final manuscript as submitted.
Present in the nares, but also in the throat, axilla, groin, perineum, and vagina, Staphylococcus aureus is the most commonly isolated bacterial pathogen in humans. It is responsible for a number of infections, ranging from uncomplicated skin and soft-tissue infections such as boils, carbuncles, and abscesses, to more severe invasive illnesses, including empyema, septic arthritis, pyomyositis, osteomyelitis, necrotizing fasciitis, pneumonia, endocarditis, and septicemia [1]. S. aureus nasal colonization prevalence in the general population worldwide has been estimated to be between 20-40% [2]. Previous colonization is the most important risk factor for subsequent infection [3]. Methicillin-resistant Staphylococcus aureus (MRSA) is resistant to all beta-lactam antibiotics, complicating the clinical management of MRSA infections. Traditionally MRSA infections have occurred in healthcare (HC) settings, but the emergence of community-associated MRSA (CA-MRSA) infection in the past decade has become a global public health threat [4]. More recently, increasing rates of cross-transmission between hospitals and communities have hampered the distinction between CA and HC acquired infections [5].
CA-MRSA was first described in specific sub-populations: Aboriginal Australians, indigenous North Americans, athletic teams, military recruits, prison inmates, and children attending daycare centers (DCC) [5]. Attempts to definitively identify risk factors for colonization or community reservoirs of MRSA have had varying levels of success. Shared characteristics of these sub-populations that could facilitate transmission include crowding, frequent skin-to-skin contact, participation in activities that result in compromised skin surfaces, sharing of personal items, barriers to adequate hygiene, and frequent antibiotic exposure [6].
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Many of these risk factors are also characteristics that manifest in informal human settlements or slums, colloquially referred to as favelas in Brazil. Favelas are characterized by concentrated poverty, inadequate shelter, poor physical environmental conditions, political and social exclusion, and generation-spanning poverty and violence, all of which contribute to a wide variety of adverse health outcomes [7]. Despite this knowledge, no studies have been conducted to explicitly compare S. aureus colonization prevalence and risk factors for colonization between those living within and outside of slums.
Epidemiologic data describing the prevalence and transmission of CA-MRSA in Brazil are scarce. However, some studies and reports have indicated that the prevalence of CA-MRSA is increasing [8, 9]. The global incidence of HC-MRSA infection in adults has decreased since 2005, but a recent study by Iwamoto et al. indicated an increase in the rate of CA-MRSA among children in United States involving selected counties in nine states [10].
Healthy children attending DCCs are more likely to become infected with MRSA than children who do not attend DCCs [11]. In Brazil, the government subsidizes and operates free-public DCCs. Children attending these DCCs frequently come from families without the financial means to send their children to private DCCs. This study was conducted in Niterói, Brazil, located in the greater metropolitan area of Rio de Janeiro. According to the 2010 census, 3,084 (46.4%) of 6,642 children attending DCCs in Niterói attended public DCCs. In 2013, Niterói had the seventh highest Human Development Index (HDI) of the 5,565 Brazilian cities surveyed [12]. This index combines life expectancy, education, and income to rank levels of human development across different geographic areas. Despite these favorable indicators, inequalities persist in the municipality as 16% of the population resides in informal settlements, operationally defined by the Brazilian census bureau as subnormal agglomerations (AGSN).
The aims of this study were to assess and compare clinical, epidemiologic and geographic risk factors for colonization with S. aureus and MRSA, and compare the prevalence of nasal colonization among children attending public DCCs located in informal and non-informal settlements in Niterói.
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Methods
Study design and study population
We performed a cross-sectional study in which researchers consecutively recruited study participants as they arrived or left the DCC until at least 15% of the selected DCC’s population had been sampled. Five hundred children (16.2% of the public DCC population), three months to six years of age, attending 23 of 30 public DCCs in Niterói, Brazil were enrolled between August 2011 and October 2012 (Figure 1). Seven public DCCs were excluded because they were too dangerous (6) or had serious barriers to obtaining informed consent (1). Optimal sample size was calculated according to the total number of children attending public DCCs in Niterói in 2010 (3,084), setting power to 0.8, with an a priori estimate of 5% MRSA prevalence.
Figure 1
Map of Niterói indicating location of the twenty-three daycare centers (DCC) included in the study. Informal settlement (aglomerado subnormal, AGSN) census tracts as identified in the 2010 Brazilian Census are denoted in orange.
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Patient recruitment and data collection
Researchers visited DCCs at the time of a child’s arrival (8 AM) or departure (5 PM). After a brief discussion of the study’s risks, benefits, and confidentiality, investigators obtained informed consent from legal guardians. Medical histories in addition to demographic and socioeconomic characteristics were obtained from parents or guardians at the time of sample collection through use of a standardized questionnaire. Children’s enrollment histories were excerpted from DCC records. All collections at an individual DCC were completed on the same day, excepting one during which two different collections were conducted in June and August 2012.
Phenotyping and genotyping Staphylococcus aureus isolates
Cultures were obtained by one full rotation of a sterile swab in each of the anterior nares and transported in Stuart Transport Medium (Copan, Brescia, Italy) to the laboratory within six hours of collection for immediate processing. Swabs were streaked onto blood agar plates and incubated at 37°C for 24 h to isolate single colonies. We tested all mannitol-fermenting colonies that exhibited yellow pigmentation for susceptibility to oxacillin and cefoxitin by disk-diffusion in accordance with standards described by the Clinical Laboratory Standards Institute [13]. The presence of the mecA gene was determined by PCR analysis in all oxacillin or cefoxitin resistant isolates as described by Swenson et al.[14].
Geographic localization of DCCs and patient residences
Geographic location of a DCC was determined by the presence of the DCC in census tracts identified by the Brazilian Census Bureau (Instituto Brasileiro de Geografia e Estatística (IBGE)) in the 2010 Brazilian Census. The IBGE defines informal settlements with the unique term “subnormal agglomerations” (aglomerados subnormais, AGSN). These are settlements made up of a minimum of 51 housing units that also fulfill the following criteria: 1) illegal occupation of the land or 2) receipt of land title in the previous ten years and either being constructed independent of municipal regulatory agencies or experiencing a general scarcity of public services.
Participant residences were geocoded by address and mapped with IBGE census tracts in ArcGIS 10 (Esri, Redlands, CA). Geocoded addresses were intersected with the official 2010 Census tract layer to determine census tract of residence (ftp://geoftp.ibge.gov.br/malhas_digitais/censo_2010/aglomerados_subnormais/shape/). Participants whose residences were mapped inside or within 50 m of the limits of an AGSN census tract were considered as living in an AGSN. The 50 m limit was incorporated to adjust for two characteristics of AGSN addresses: many residents use a collective address just outside the AGSN limits to receive correspondence and residences are often mapped to the last available street number just outside the AGSN border since many street numbers within AGSNs remain unofficial.
Statistical analysis
Analyses were conducted on individuals colonized with any type of S. aureus (inclusive of MRSA) and separately among those colonized with MRSA. Data analyses were conducted with Stata v.12.1 (StataCorp, College Station, TX). Continuous demographic and socioeconomic characteristics of AGSN and non-AGSN DCC attendees were compared with a Student’s t-test, while categorical variables of these groups were compared with the Pearson’s chi-squared test (Table 1). Risk factors for S. aureus and MRSA colonization were compared with Pearson’s chi-squared test (Table 2), and a multivariable logistic regression model was constructed in a reverse step-wise fashion to analyze risk factors for S. aureus carriage, beginning with all demographic and population characteristics from Table 2, and maintaining variables with p < 0.20 in the final multivariable model. Variables included in the final logistic model were presented as adjusted odds ratios (AOR), and results for risk factors were presented as odds ratios (OR) and 95% CIs (Table 3). A small number of cases (31) precluded multiple logistic regression analysis to assess MRSA risk factors. Unadjusted OR were presented in Table 4.
Table 1
Demographic characteristics comparing children attending public daycare centers in Niterói, Brazil in aglomerados subnormais (AGSN) and non-AGSN census tracts
Total population (n = 500)*
Non-AGSN (n = 412)
AGSN (n = 88)
n
n
p-value
S. aureus colonization
240 (48%)
182 (44%)
58 (66%)
< 0.001
Methicillin-susceptible S. aureus colonization
209 (42%)
163 (40%)
46 (52%)
0.028
Methicillin-resistant S. aureus colonization
31 (6.2%)
19 (5%)
12 (14%)
0.001
Gender
412
88
0.990
Male
256 (51%)
211 (51%)
45 (51%)
Female
244 (49%)
201 (49%)
43 (49%)
Ethnicity
382
81
0.132
White
141 (28%)
122 (30%)
19 (22%)
Non-white
322 (64%)
260 (63%)
62 (70%)
Mean age in years (standard deviation)
4.02
87
3.83
407
4.07
0.138
(1.35)
(1.38)
(1.34)
Mean time enrolled at DCC in months (standard deviation)
17.12
85
18.48
389
16.83
0.302
(13.33)
(14.80)
(12.98)
ß-Lactam antibiotic use in the previous thirty days
387
83
0.596
Yes
78 (16%)
58 (14%)
20 (23%)
No
392 (78%)
329 (80%)
63 (72%)
Hospitalization in the previous twelve months
386
88
0.454
Yes
48 (10%)
41 (10%)
7 (8%)
No
426 (85%)
345 (84%)
81 (92%)
Cohabitant hospitalized in the previous twelve months
411
88
0.800
Yes
49 (10%)
41 (10%)
8 (9%)
No
450 (90%)
370 (90%)
80 (91%)
Cohabitant is an employee at a health care facility
400
88
0.280
Yes
42 (8%)
37 (9%)
5 (6%)
No
446 (89%)
363 (88%)
83 (94%)
Mother has not completed primary education (1–8 years)
362
83
0.091
No
267 (53%)
224 (54%)
43 (49%)
Yes
178 (36%)
138 (33%)
40 (45%)
Household income less than two times minimum wage
362
80
0.335
No
119 (24%)
268 (65%)
55 (63%)
Yes
323 (65%)
94 (23%)
25 (28%)
More than five household co-habitants
412
88
0.643
No
340 (68%)
282 (68%)
58 (66%)
Yes
149 (30%)
130 (32%)
30 (34%)
Shared fomites at home (bed, clothing, towels)
411
88
0.802
Yes
152 (30%)
127 (31%)
26 (30%)
No
346 (69%)
284 (69%)
62 (70%)
Time sampled (months after initial sampling)
412
88
< 0.001
≤6 m
131 (26%)
131 (32%)
47 (53%)
>6 m
281 (56%)
281 (68%)
41 (47%)
Residence located within 50 m of AGSN census tract
294
62
0.001
No
205 (41%
181 (44%)
24 (27%)
Yes
151 (30%)
113 (27%)
38 (43%)
*May not total 100% as data reporting for some characteristics were incomplete.
Table 2
Comparison of demographic characteristics associated withS. aureusand methicillin-resistantS. aureus(MRSA) nasal colonization among children attending public daycare centers in Niterói, Brazil
Risk factor
S. aureusnasal carriage
MRSA carriage
Yes
No
p-value
Yes
No
p-value
Gender
Male
121
135
0.736
13
243
0.287
Female
119
125
18
226
Older than 36 months
No
55
86
0.011
8
133
0.760
Yes
185
174
23
336
Attending DCC for more than 12 months
No
93
135
0.002
11
217
0.195
Yes
136
110
19
227
ß-Lactam antibiotic use in the previous thirty days
No
180
212
0.057
10
375
0.003
Yes
45
33
17
68
Hospitalization in the previous twelve months
No
196
57
0.599
28
398
0.932
Yes
24
230
3
45
Cohabitant hospitalized in the previous twelve months
No
219
231
0.440
26
424
0.223
Yes
21
28
5
44
Cohabitant is an employee at a health care facility
No
211
235
0.969
31
415
0.077
Yes
20
22
0
415
Mother has not completed primary education (1–8 years)
No
76
102
0.088
11
167
0.936
Yes
136
131
17
250
Household income less than two times minimum wage
No
151
172
0.597
20
303
0.839
Yes
59
60
8
111
More than five household cohabitants
No
167
173
0.060
18
322
0.221
Yes
67
93
13
147
Shared fomites at home (bed, clothing, towels)
No
67
86
0.222
9
144
0.839
Yes
172
174
22
324
Daycare center located in aglomerado subnormal (AGSN) census tract
No
182
230
< 0.001
19
393
< 0.001
Yes
58
30
12
76
Time sampled (months after initial sampling)
≤ 6 m
100
78
0.006
15
163
0.125
> 6 m
140
182
16
306
Residence located within 50 m of AGSN census tract
No
102
103
0.792
14
191
0.553
Yes
73
78
8
143
Table 3
Risk factors forStaphylococcus aureuscolonization among children attending public daycare centers (DCC) in Niterói, Brazil. AORs are presented for variables included in the final model
Risk factor for S. aureus
OR
95% CI
AOR
95% CI
Older than 36 months
1.26
1.11 - 1.45
1.32
1.12 - 1.56
Attending DCC for more than 12 months
1.02
1.01 - 1.04
-
-
Mother has unfinished primary education (1–8 years)
1.39
0.95 - 2.04
1.55
1.00 - 2.42
DCC located in AGSN
2.44
1.51 - 3.96
2.32
1.32 - 4.08
Time sampled (months after initial sampling)
0.94
0.90 - 0.97
0.94
0.90 - 0.99
Residence located within 50 m of AGSN
0.95
0.62 - 1.44
-
-
Table 4
Risk factors for methicillin-resistantStaphylococcus aureuscolonization among children attending public daycare centers (DCC) in Niterói, Brazil
Risk factor
OR
95% CI
ß-Lactam antibiotic use in previous thirty days
3.24
1.42 – 7.39
Cohabitant is employee at health care facility*
-
-
More than five household members
1.22
0.96 - 1.56
DCC located in AGSN
3.27
1.52 - 7.01
Time sampled (months after initial sampling)
0.92
0.86 - 0.99
Residence located within 50 m of AGSN
0.76
0.31 - 1.87
*No one colonized with MRSA had a family member who was an employee at a health care facility.
The Ethics Committee at Fluminense Federal University approved this study; parents or legal guardians of all participants provided written informed consent.
Results
Of 23 public DCC we surveyed, five were located in AGSN and 18 were located in non-AGSN census tracts. Of the seven DCCs not sampled, six were located in AGSN census tracts. Table 1 shows a comparison of demographic and clinical characteristics of AGSN and non-AGSN DCC populations. Eighty-eight of the 500 children (17.6%) attended DCCs that were located in AGSN census tracts. Nasal carriage of all S. aureus types was detected in 240 subjects (48%), and MRSA nasal carriage (a subset of S. aureus) was detected in 31 (6.2%) of 500 subjects (Figure 2). In AGSN DCCs, 58 (65.9%) of 88 children were colonized with S. aureus, while 12 (13.6%) were colonized with MRSA. In contrast, in non-AGSN DCCs, 182 (44.2%) of 412 were colonized with S. aureus (p < 0.001), and 19 (4.6%) were colonized with MRSA (p = 0.001). In three DCCs we found S. aureus colonization prevalence above 80%. Two of these were located in AGSN census tracts. Prevalence of nasal colonization for DCCs located in non-AGSN census tracts ranged from 0–10.5% for MRSA and 9% to 80.7% for S. aureus, while in AGSN DCCs, nasal colonization ranged from 0 to 21.4% for MRSA and 41.1 – 92.8% for S. aureus.
Figure 2
Methicillin-resistantStaphylococcus aureus(MRSA) and methicillin-susceptibleStaphylococcus aureus(MSSA) colonization prevalence in public daycare centers located in informal settlements (AGSN) and non-AGSN census tracts in the municipality of Niterói, Brazil.
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The mean age at admission to the study was four years (standard deviation: 1.3). The overall study population was 51.2% male. Seventy-eight (15.6%) subjects reported use of antibiotics in the 30 days prior to their interview.
A bivariate analysis of risk factors for colonization with S. aureus and MRSA is presented in Table 2. Of 240 children colonized with S. aureus, 24 (10%) had been hospitalized or undergone a surgical procedure in the previous 12 months, while 24 (9.2%) of those not colonized were hospitalized (p = 0.599) (Table 2). An association was seen between beta-lactam antibiotic use and colonization with both S. aureus (p = 0.057) and MRSA (p = 0.003). Of 31 children colonized with MRSA, three (9.7%) reported a previous hospitalization or invasive surgical procedure in the immediately preceding 12 months, while 45 (9.6%) of those without MRSA carriage reported this history (p = 0.932). No association was observed between those living in or within 50 m of an AGSN and S. aureus (p = 0.792) or MRSA (p = 0.553) colonization. Amount of time a child had been enrolled in a DCC was not correlated with age; these variables only shared 33% of their variability (p = 0.577). Those using beta-lactam antibiotics were 3.24 times more likely to be colonized with MRSA (95% CI: 1.42-7.39).
Logistic regression indicated that when controlling for age, mother’s education, and the small increase in odds of colonization in those sampled later during the study period, children attending public DCCs in AGSN census tracts were 2.32 times more likely to be colonized with S. aureus (95% CI: 1.32- 4.08) than children attending DCCs outside of AGSNs (Table 3). Bivariate analysis indicates that children attending AGSNs in DCCs were 3.27 times more likely to be colonized with MRSA than children attending non-AGSN DCCs (95% CI: 1.52-7.01) (Table 4).
Discussion
The overall S. aureus nasal colonization prevalence was 48% in Niterói’s public DCC population. This is higher than those described in other studies of healthy South American children attending DCCs: 31.1% (371/1192) were colonized in a 2005 Brazilian study [15]. 31% (98/316) in Argentina (2008), [16] and 38.5% (40/104) in Colombia (2009) [17].
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Comparing our DCC MRSA colonization prevalence with other studies conducted in DCCs, a higher prevalence, was found in Asia: 9.3% (40/428) in South Korea in 2008, [18] and 7.8% (473/6057) in Taiwan between 2005–2008 [19]. A recent meta-analysis of 23 cross-sectional studies in healthy children from studies conducted on four different continents (aggregated across DCCs, schools, and outpatient clinical checkups) between 2000 and 2010 produced a summary prevalence of MRSA colonization of 2.3% (95% CI: 1.8-2.7) [20]. We found a prevalence (6.2%) that was five times higher than in the aforementioned Brazilian study, conducted in the DCC population of Goiania, which found a prevalence of 1.2% [15]. This large difference in MRSA colonization could be because Niterói has a much larger AGSN population (24,286) than Goiânia (1,066). Niteroi is also immediately proximal to Rio de Janeiro, an international tourist, shipping, and economic hub.
Two hundred sixteen (90%) of 240 S. aureus isolates and 28 (90.3%) of 31 MRSA isolates were classified as community-associated because the children had not undergone surgery or hospitalization in the previous twelve months. When coupled with the absence of an association between colonization and residence within an AGSN, the high prevalence of MRSA and S. aureus in DCCs suggests that DCCs may serve as reservoirs for community-associated colonization. Such an observation underscores the need for epidemiologic surveillance in informal settlements, which our findings indicate contribute substantially to an increased risk of MRSA colonization.
In 2005, Chatterjee et al. reported a S. aureus colonization prevalence of 51% in children living in informal settlements in India but the authors did not explicitly discuss informal settlements as a risk factor for colonization [21]. This is lower than our estimate in AGSNs in Niteroi (65.9%), but higher than our aggregate estimate of colonization (48%). Our findings highlight the importance of an intimate understanding of the local context when reporting disease rates. A failure to disaggregate data by type of neighborhood would have obscured the higher risk of colonization among those living in such settlements.
Income inequality is highly correlated with S. aureus methicillin resistance, [22] and Brazil has one of the highest Gini Index values in the world (0.6 in 2010) [23]. This phenomenon manifests itself in the AGSN DCCs in our study, with a higher MRSA prevalence (13.6%) than non-AGSN DCCs (4.6%). Furthermore, children who attend public DCCs located in AGSN census tracts are exposed to greater social segregation than children at public DCCs outside of AGSNs. Children attending AGSN DCCs usually come from the AGSN in which that DCC is located, whereas non-AGSN DCC attendees come from all over the city. Children at AGSN DCCs spend all of their time in the same AGSN: daycare in addition to their home life, interacting with the same people. However, we did not observe an association between living in an AGSN and colonization, despite the association between attending an AGSN DCC and living in an AGSN.
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Other isolated populations such as aboriginal communities in Australia, Maori communities in New Zealand, Native American and Alaskan Inuit populations in the United States and Canada, Bedouin children in Israel, and incarcerated populations experience relatively higher MRSA colonization prevalence than the general population [11, 24‐28]. These populations are more likely to experience conditions associated with poverty, including but not limited to overcrowding and poor access to health care. AGSNs are similarly socially isolated communities. Residents are often stigmatized, and access into and out of some communities is extremely limited due to poor infrastructure and high rates of intrapersonal violence compared to surrounding areas. Another possibility is that a synergistic relationship exists between S. aureus and human populations in semi-isolated communities; more frequent contact between the same people increases the frequency of opportunities for horizontal gene transfer, which could lead to drug resistance and proliferation of the bacteria within closed communities.
There was no difference in the average number of children per DCC in AGSN (108 children per DCC) and non-AGSN (107) DCCs. These data suggest that overcrowding may not contribute to the spread of S. aureus or MRSA in this setting. However, we were unable to obtain floor plans of DCCs and calculate the number of children per unit area so this finding should be interpreted with caution. The same governing body administers both AGSN and non-AGSN DCCs, so the principal difference between these two types of DCC is likely to be their physical location.
We tested for temporal colonization patterns and found a slight negative trend in colonization. For each month of enrollment, there was a 6% reduction in risk of colonization. We were unable to test for seasonal trends because the summer months (January – March) correspond to DCC holidays.
Beta-lactam antibiotic use was a relatively strong risk factor (OR: 3.24, 95% CI: 1.42-7.39) for MRSA colonization. This relationship was not maintained when stratifying by AGSN (OR: 1.21, 95% CI: 0.29, 5.09) and non-AGSN (OR: 4.88, 95% CI (1.74, 13.68) status, but this may be due to the small number of those colonized with MRSA; only 19 were colonized in non-AGSNs compared to 12 in AGSNs.
While geocoding of addresses for health data is a commonly employed and useful tool, difficulties remain in specifically mapping the residences of those living in informal settlements [29]. Existing maps of Niterói’s AGSNs are of extremely poor quality. Despite the fact that our attempts to geocode resulted in successful mapping of approximately 70% of addresses, we should be cautious in our interpretation of these geocoded data. Many AGSN residents’ addresses mapped immediately outside of the AGSN because that is the address they report to receive mail. Furthermore, existing roads near AGSNs have numerous addresses aggregated at the AGSN border. Future attempts to geocode addresses in informal settlements could include more precise techniques to confirm addresses, or the incorporation of novel mapping techniques to verify a resident’s domicile.
Additional limitations of this study include the potential bias that could result from the exclusion of children whose parents or guardians were not present to provide consent. In addition, some guardians declined to participate due to time constraints. However, these participants represented a small minority of those invited to participate. Enrollment statistics collected by investigators from 2012 indicate that we were able to sample 88/1188 (7.4%) total AGSN DCC enrollees, and 412/2042 (20.2%) non-AGSN enrollees. A smaller fraction of the AGSN population threatens internal validity to the Niterói AGSN DCC population, but we were unable to visit six AGSN DCCs due to safety concerns.
Our study assessed point prevalence, so it was not possible to discriminate intermittent from persistent MRSA carriers. Persistent carriers are known to have higher bacterial loads, increased potential of transmission and are at higher risk of autoinfection [10, 30]. Furthermore, the rate of S. aureus colonization may be underestimated without simultaneous swabs of other body sites (e.g., axilla, groin, pharynx, and anus). Additionally neither employees of the DCCs, nor children’s family members were sampled. Despite these limitations, this study revealed the importance of DCCs, especially those located in informal settlements as a reservoir and potential nidus of transmission of MRSA.
Conclusion
The disaggregation of health data by census tracts provide detailed neighborhood-specific health information. Targeted health policies can be designed to address disparities between communities with this type of information. Consistent with other studies of socially isolated groups, those in the most vulnerable communities had a higher prevalence of both S. aureus and MRSA colonization in comparison to children attending DCCs in non-informal areas. These data suggest that transmission of S. aureus and MRSA is occurring in DCCs rather than at home, although more accurate geocoding will be required to identify where transmission occurs. Further studies assessing the clonal diversity of S. aureus and MRSA in closed communities are necessary to thoroughly understand how isolation influences both carriage and transmission. Our study highlights the importance of DCCs located in slums as potential reservoirs for MRSA, and calls attention to the need for targeted surveillance in such communities.
Authors’ information
EDVB: MPH. School of Medicine, Programa de Pós-graduação em Ciências Médicas, Departamento Materno Infantil, Fluminense Federal University, Niterói, Rio de Janeiro, Brazil.
FAA: PhD. Laboratório Universitário Rodolpho Albino, Programa de Pós-graduação em Patologia, Fluminense Federal University, Niterói, Rio de Janeiro, Brazil.
MFNF: BSC. Laboratório Universitário Rodolpho Albino, Fluminense Federal University, Niterói, Rio de Janeiro, Brazil.
MOS: School of Medicine, Departamento Materno Infantil, Fluminense Federal University, Niterói, Rio de Janeiro, Brazil.
TVC: School of Medicine, Departamento Materno Infantil, Fluminense Federal University, Niterói, Rio de Janeiro, Brazil.
RES: MPH. University of California, Berkeley, Division of Epidemiology, School of Public Health, Berkeley, California, USA.
VAA: MD. School of Medicine, Programa de Pós-graduação em Ciências Médicas, Departamento Materno Infantil, Fluminense Federal University, Niterói, Rio de Janeiro, Brazil.
MAM: PhD. University of California, Berkeley, Division of Epidemiology, School of Public Health, Berkeley, California, USA.
LWR: MD. University of California, Berkeley, Division of Infectious Diseases and Vaccinology and Division of Epidemiology, School of Public Health, Berkeley, California, USA.
SS: PhD. School of Medicine, Fluminense Federal University, Departamento de Doenças Infecciosas, Niterói, Rio de Janeiro, Brazil.
LES: MsCi. School of Medicine, Fluminense Federal University, Programa de Pós-graduação em Patologia, Niterói, Rio de Janeiro, Brazil.
CAAC: PhD. School of Medicine, Programa de Pós-graduação em Ciências Médicas, Departamento Materno Infantil, Niterói, Rio de Janeiro, Brazil.
Acknowledgements
This work was supported by CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico), FAPERJ (Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro),Fogarty International Center/NIH Global Infectious Disease Research (TW006563) and training grant from the Fogarty International Center (TW009338).
Funding
CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico), (FOPESQ) Fluminense Federal University, FAPERJ (Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro), Fogarty International Center/NIH Global Infectious Disease Research Grant (TW006563) and training grant from the Fogarty International Center (TW009338).
Experiments conducted
Laboratório de Epidemiologia Molecular e Biotecnologia.
Laboratório Universitário Rodolpho Albino - Fluminense Federal University.
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The authors declare that they have no competing interests.
Authors’ contributions
EDVB was responsible for primary data collection, literature review, conducted aspects of the data analysis, and wrote the report. FAA was responsible for study design, conducted the laboratory component, contributed to the data analysis, and reviewed the report. MFNF participated in primary data collection, in the laboratory analysis, and contributed to writing the manuscript. MOS and TVC participated in primary data collection, data entry, and contributed to writing the manuscript. RES conducted components of the data analysis and contributed to writing the manuscript. VAA participated in primary data collection, literature review, and contributed to writing the manuscript. MAM participated in statistical analysis and reviewed the report. LWR contributed to the data analysis and reviewed the report. LES contributed to study design, preliminary data analyses, and reviewed the report. SS contributed to study design, and reviewed the report. CAAC was responsible for study design, contributed to data analysis, and reviewed the report. All authors reviewed the manuscript and approved the final manuscript as submitted.
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