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Global Advanced Research Journal of Microbiology (ISSN: 2315-5116) Vol. 4(7) pp. xxx-xxx, August, 2015
Available online http://garj.org/garjm
Copyright© 2015 Global Advanced Research Journals
Full Length Research Paper
Preminary Indoor Air Microbiological Assessment of
Daeyang Luke Hospital
Frank Ngonda*
*Daeyang University, P.O. Box 30330, Lilongwe, Malawi.
Email: ngondafb@yahoo.com
Accepted 03 August, 2015
Introduction: The health of individuals in the hospital can be challenged by the presence of
microorganisms in indoor air of hospital environment which can also lead to hospital acquired
infections and prolonged stay in the hospital. The objective of the study was to evaluate and provide
fundamental data of indoor air microbial quality at DLH wards in order to estimate the health hazards.
Method: The microbial qualities of indoor air of seven wards at DLH were determined using passive air
sampling techniques (open petri dishes containing different culture media). Results: The concentration
of bacteria and fungi aerosol in the indoor environment of the wards were in the range between 366 -
3993 CFU/m
3
. The highest bacterial CFU/m
3
of 3495 was recorded in emergency ward and the lowest of
366 was recorded in pediatric ward. While the highest fungi CFU/m
3
of 3993 was recorded in female
surgical ward and the lowest of 786 was recorded in maternity ward. The statistical analysis of the
results showed that bacteria concentration were significantly different (p-value=0.01) whereas the
concentration of fungi were not significantly different. Conclusion: During the period understudy, all
wards except pediatric and medical wards were highly contaminated with bacteria and fungi,
consequently, there is need to institute interventions required to control those environmental factors
that can accelerate further the growth and multiplication of microbes in and out of wards.
Keywords: Air Microbiological Assessment.
INTRODUCTION
In developing countries, in general, healthcare services
have been greatly affected by Healthcare associated
infections (HAIs) that have also been linked with many
factors such as microbial qualities of the indoor air of each
hospital (Ekhaise et al., 2010). Nosocomial infection also
known as hospital acquired infection is defined as infection
acquired in the hospital environment, which are not present
at the time of admission (Gravel et al., 2007). And a
number of HAIs prevalence studies from several countries
indicate that approximately 8 per cent of hospitalised
patients will acquire an infection as a result of receiving
healthcare (Wamedo et al., 2012).
The complex settings of many healthcare facilities as a
result of overcrowding, improper design and poor
ventilation (buildings which did not include vents, proper
situation of windows and doors, as well as low head-roof)
in the sub-Saharan Africa region have an impact on the
growth and survival of microorganism which are harmful to
human health. Activity of people and equipment within the
indoor environment/setting can be considered as the
principal factor contributing to the buildup and spread of
airborne microbial contamination in many healthcare
facilities (Ekhaise et al., 2008).
Individuals or clients with pre-existing health problems
and have depressed immune system and are going
through treatment are very susceptible to indoor air
exposure. Hence, both indoor and outdoor air pollutions
are some of the most severe challenges of our time.
Several airborne diseases have been related to the indoor
air quality. Indoor air quality is a significant issue in health
care especially in the developing countries. Consequently,
the presence of airborne microorganism that may cause
nosocomial infections in Health care facilities should be
regarded as a major concern when providing particular
care to patients and hospitals (Ekhaise et al., 2008).
So far in many countries in the Sub-Saharan African
region including Malawi, there are no guidelines for
microbiological quality of indoor air. Furthermore, there
isn’t any SADC directive addressing this; therefore it is
assumed to be based on particular countries.
Therefore, the purpose of this study was to determine the
extent of indoor air microbial contamination in maternity,
surgical and medical wards of Daeyang Luke Hospital
(DLH) as an important factor in nosocomial infection chain.
The findings of this study are very helpful to evaluate the
adequacy of environmental control procedure of ward
environments at Daeyang Luke Hospital.
MATERIAL AND METHOD
This study was carried out between the months of March to
July 2015 in the Daeyang Luke Hospital, Lilongwe Malawi.
Daeyang Luke Hospital has a bed capacity of 200 and
provides services for approximately 70,000 inpatient and
outpatient attendances a year coming from a catchment
population of about two million people. Maternity, Female
Surgical, Male Surgical, Female Medical, Male Medical,
Emergency and Pediatric wards were used for sample
collection.
Bacteria and fungi measurements were made by passive
air sampling technique; the settle plate method using 9 cm
diameter petri dishes (63.585 cm
2
areas) (Pasquarella et
al., 2000). The sampling height which approximated human
breathing zone of 1 metre above the floor and at the centre
of the room was used. Bacteria and fungi were collected on
2% nutrient agar and 4% sabouroad agar respectively. To
avoid self contamination of agar plate during air sampling,
sterile gloves, mouth masks and protective gown were
worn, and before it was used the agar plate was checked
visually for any microbial growth. To obtain the appropriate
surface density for counting and to determine the load with
respect to time of exposure, the sampling times were set at
30, 60, 90 minutes. Moreover, samples were collected
twice a day at 8:30 am and 4:00 pm by taking into
consideration the variation of density of occupant and
environmental factors.
After exposure, the sample were taken to Daeyang
University Laboratory and incubated at 37°C for 24 hours
for bacteria and at 25°C for 3 days for fungi.
The colony forming units (CFU) were enumerated and
colony forming units per cubic meter (CFU/m
3
) were
determined, taking into account the following equation as
described by Omeliansky (Borrego et al., 2010):
N = 5a x 10
4
(bt)
-1
Where:
N: microbial CFU/m
3
of indoor air
a: number of colonies per petri dish
b: dish surface, cm
2
t: exposure time, minutes
IBM SPSS Statistics version 20.0 software was applied to
determine the likelihood of statistical difference between
the concentrations of bacteria and fungi measured at
different sampling places and the linearity was determined
between the concentrations of bacteria and fungi
measured.
RESULTS
A total of 84 samples were used to determine the indoor air
microbial loads of seven wards of Daeyang Luke Hospital.
The results were expressed as concentration,
concentration range, arithmetic mean and standard
deviations of bacteria and fungi aerosol present in the
investigated wards as presented in Tables 1, 2 and 3. The
microbial air quality standards of the investigated wards
have been presented in Table 4.
It can be observed from the results that the highest
bacterial colony forming unit per m
3
(CFU/m
3
) of 3495 was
recorded at 4:00 pm in emergency ward at 90 minutes
while the lowest bacterial CFU/m
3
of 366 was recorded at
8:30 am in pediatric ward at 30 minutes as in Table 1 and
Figure 1.
And the highest fungi CFU/m
3
of 3993 was recorded at
8:30 am in female surgical ward at 90 minutes while the
lowest CFU/m
3
of 786 was recorded at 4:00 pm in
maternity ward at 30 minutes as in Table 2 and Figure 1.
The concentration of bacteria and fungi aerosol in the
indoor environment of Daeyang Luke Hospital wards
during the period of study, estimated with the use of settle
plate method, ranged between 366 – 3993 CFU/m
3
as in
Table 3. It can also be observed in Figure 1 that bacterial
and fungal air contamination was generally lower in the
morning than in the afternoon in all the investigated wards
during the period of study.
The results as indicated by the scatter plots in figure 2 of
the bacteria concentration versus fungi concentration show
Table 1: Number of bacterial colony counts (CFU) per m3
air at different sampling time of day at different time of exposure
Sampling sites
(Wards)
Sampling time
8:30 am 4:00 pm
Petri dish exposure time (Minutes) Petri dish exposure time (Minutes)
30 (Min) 60 (Min) 90 (Min) 30 (Min) 60 (Min) 90 (Min)
Maternity 602 1271 1442 446 734 1118
Female Surgical 1022 1140 1389 904 1101 1319
Male Surgical 1494 1678 1992 865 878 908
Female Medical 655 983 1048 629 891 979
Male Medical 602 983 891 708 760 1057
Emergency 1599 1861 2813 1756 2045 3495
Pediatric 366 550 778 577 813 1346
Table 2: Number of fungi colony counts (CFU) per m3
air at different sampling time of day at different time of exposure
Sampling sites
(Wards)
Sampling time
8:30 am 4:00 pm
Petri dish exposure time (Minutes) Petri dish exposure time (Minutes)
30 (Min) 60 (Min) 90 (Min) 30 (Min) 60 (Min) 90 (Min)
Maternity 1232 1455 2621 786 1324 1721
Female Surgical 1232 1284 3993 1546 2136 2665
Male Surgical 1599 1765 3512 1074 1599 1651
Female Medical 1101 1848 2506 944 1979 2621
Male Medical 1232 1468 2892 1573 2228 2298
Emergency 1048 2324 2612 1101 1586 2736
Pediatric 891 970 2298 945 1979 1590
Table 3: The range of microbe’s distribution at Daeyang Luke Hospital wards
N Minimum Maximum Mean Std. Deviation
Bacteria CFU/m
3
Fungi CFU/m
3
Valid n
42
42
42
366
786
3495
3993
1178.29
1808.69
668.84
737.10
Table 4: An assessment of air quality in the selected wards of Daeyang Luke Hospital according to the sanitary standards for non-industrial premises
Group
of
microb
es
Range
of
values
(CFU/m
3
Pollution
degree
Sampling sites (Wards) and time
Pediatric Emergen
cy
Maternal Female
Surgical
Male
Surgical
Female
Medical
Male
Medical
8:3
0
am
4
p
m
8:3
0
am
4
p
m
8:3
0
am
4
p
m
8:3
0
am
4
p
m
8:3
0
am
4
p
m
8:3
0
am
4
p
m
8:3
0
am
4
pm
Bacteri
a
<50 Very low
50-100 Low
100-500 Intermedia
te
500-
2000
High √ √ √ √ √ √ √ √ √ √ √ √ √
>2000 Very high √
Fungi <25 Very low
25-100 Low
100-500 Intermedia
te
500-
2000
High √ √ √ √ √ √ √ √
>2000 Very high √ √ √ √ √ √
Figure 1: Comparison between fungi and bacteria concentration at Daeyang Luke Hospital wards
Figure 2: Correlation between fungi and bacteria concentration at Daeyang Luke Hospital wards
positive linear association (r
2
=0.1847). And this proves that
the indoor air environmental factors of the wards are
favoring the growth and development of bacteria and fungi
population.
The statistical analysis of the results also showed that
the concentration of bacteria that were measured in all
wards were significantly different (p-value=0.01) whereas
the concentration of fungi were not significantly different.
This suggests that most of the microbes were not human
borne (Soto et al., 2009).
The scatter plots of bacteria versus fungi concentration
that have been measured in all sampled wards show
positive linear association with regression coefficient (R
2
=
0.1847, n=42) presented in figure 2.
DISCUSSIONS
In this research, the quantitative interpretation of the
results describing the air quality in the wards of DLH was
evaluated based on the sanitary standards for non-
industrial premises formulated by the European
Commission in 1993. According to this classification, most
of the wards that were included in the study were slightly in
unhygienic condition (Table 4). These might be possibly
because of high density or frequency of patients and
presence of visitors in and out of the wards during this
period of study.
Despite the fact that there is no uniform international
standard on levels and acceptable maximum bioaerosol
loads available in literature (Jyotshna and Helmut 2011).
Different countries have different standards, however,
according to the study conducted by a WHO expert group
on assessment of health risks of biological agents in indoor
environments it was recommended that total microbial load
should not exceed 1000 CFU/m
3
. If higher than this, the
environment is considered as contaminated (Nevalainen
and Morawaska 2009).
In this study, about 31% of the results from the wards
were below the limit of 1000 CFU/m
3
showing that most of
the wards during this period were unhygienic conditions.
Environmental factors such as insufficient ventilation
system might also contribute to the level of microbial load
in the ward as indicated by Wamedo et al. 2012.
According to earlier studies the microbiological quality of
indoor air is formed by two main factors: microbiological
composition of outdoor air and indoor air microbiological
sources (Abdel Hameed and Farag 1999). Outdoor air is
very much influenced by environment, season, the weather
and even daytime. The results of this study shows that
people occupying or visiting enclosed spaces play a
dominating role in the creation of indoor air microbiological
environments. The highest growths of microorganisms are
observed in wards that are frequently visited by patients’
visitors and the emergency ward. However, the presence
of good ventilation system inside buildings such as
hospitals element the influence of indoor source in causing
nosocomial infections.
Additionally, it is necessary to adopt the guidelines for
the design and construction of new health-care facilities
and for renovation of existing facilities in order to control
indoor air-quality.
CONCLUSION
In conclusion, the pediatric and medical wards were the
least contaminated wards during the period of study while
the rest of the investigated wards were highly
contaminated with bacteria and fungi, hence they might be
potential risk factors for spread of nosocomial infection at
DLH. Thus, immediate intervention is needed to control
those environmental factors which favor the growth and
multiplication of microbes. It is also vital to control visitors
in and out of the wards. Moreover, it is advisable that strict
measures be put in place to check the increasing microbial
load in the hospital environment.
ACKNOWLEDGEMENT
Grateful thanks goes to the management and staff of
Daeyang University and Daeyang Luke Hospital for
providing the facilities for the research work.
REFERENCE
Abdel Hameed AA, Farag SA (1999). An indoor bio-contaminants air
quality. International Journal of Environmental Health Research, 1999,
9, 313
Borrego S, Guiamet P, G’omez de Saravia S (2010). The quality of air at
archives and biodeterioration of photographs. Int Biodet and Biodeg,
2010; 64: 139-145.
Ekhaise FO, Ighosewe OU, Arakpovi OD (2008). Hospital indoor air borne
micro flora in private and government owned Hospital in Benin City,
Nigeria. World J of Med Sci, 2008; 3: 19-23.
Ekhaise FO, Isitor EE, Idehen O, Emogbene OA (2010). Airborne micro
flora in the atmosphere of University of Benin Teaching Hospital
(UBTH), Benin City, Nigeria. World J Agric Sci, 2010; 6: 166-
170.Omoigberale M.N.O., Amengialue, O.O., Iyamu, M.I. 2014.
Microbiological assessment of hospital indoor air quality in Ekpoma
Edo State, Nigeria. Global Res. J. Microbiol., 4: 1-5.
European Communities Commission (ECC) (1993). Indoor air quality and
its impact on man. Report No. 12, Biological Particles in Indoor
Environments. Luxembourg; 1993.
Gravel D, Taylor G, Ofner M, Johnston L, Loeb M, Roth VR, Stegenga J,
Bryce E (2007). Canadian Nosocomial Infection Surveillance Program.
Matlow A (2007), Journal of Hospital Infection, 66(3): 243-248.
Jyotshna M, Helmut B (2011). Bioaerosols in indoor Environment – A
Review with Special Reference to Residential and Occupational
Locations. The Open Envir & Biol Mon J, 2011; 4: 83-96.
Nevalainen A, Morawaska L (2009). Biological Agents in Indoor
Environment. Assessment of Health Risks. Work conducted by a WHO
Expert Group between 2000-2003. WHO, QUT: 2009.
Pasquarella C, Pitzurra O, Saravia A (2000). The index of microbial air
contamination (review). J. Hosp Infect, 2000; 46: 241-256.
Soto T, Garcia Murcia RM, Franco A, Vicente-Soler J, Cansado J, Gacto
M (2009). Indoor airborne microbial load in a Spanish
university(University of Murcia, Spain). Anales de Biologia, 2009; 31:
109-115.
Wamedo SA, Ede PN, Chuku A (2012). Interaction between building
design and air borne microbial load. Asian J of Bio Sci, 2012; 5: 183-
191.
Wamedo SA, Ede PN, Chuku A (2012). Interaction between building
design and air borne microbial load. Asian J of Bio Sci, 2012; 5: 183-
191.

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Preliminary_Indoor_Air_Microbiological_A

  • 1. Global Advanced Research Journal of Microbiology (ISSN: 2315-5116) Vol. 4(7) pp. xxx-xxx, August, 2015 Available online http://garj.org/garjm Copyright© 2015 Global Advanced Research Journals Full Length Research Paper Preminary Indoor Air Microbiological Assessment of Daeyang Luke Hospital Frank Ngonda* *Daeyang University, P.O. Box 30330, Lilongwe, Malawi. Email: ngondafb@yahoo.com Accepted 03 August, 2015 Introduction: The health of individuals in the hospital can be challenged by the presence of microorganisms in indoor air of hospital environment which can also lead to hospital acquired infections and prolonged stay in the hospital. The objective of the study was to evaluate and provide fundamental data of indoor air microbial quality at DLH wards in order to estimate the health hazards. Method: The microbial qualities of indoor air of seven wards at DLH were determined using passive air sampling techniques (open petri dishes containing different culture media). Results: The concentration of bacteria and fungi aerosol in the indoor environment of the wards were in the range between 366 - 3993 CFU/m 3 . The highest bacterial CFU/m 3 of 3495 was recorded in emergency ward and the lowest of 366 was recorded in pediatric ward. While the highest fungi CFU/m 3 of 3993 was recorded in female surgical ward and the lowest of 786 was recorded in maternity ward. The statistical analysis of the results showed that bacteria concentration were significantly different (p-value=0.01) whereas the concentration of fungi were not significantly different. Conclusion: During the period understudy, all wards except pediatric and medical wards were highly contaminated with bacteria and fungi, consequently, there is need to institute interventions required to control those environmental factors that can accelerate further the growth and multiplication of microbes in and out of wards. Keywords: Air Microbiological Assessment. INTRODUCTION In developing countries, in general, healthcare services have been greatly affected by Healthcare associated infections (HAIs) that have also been linked with many factors such as microbial qualities of the indoor air of each hospital (Ekhaise et al., 2010). Nosocomial infection also known as hospital acquired infection is defined as infection acquired in the hospital environment, which are not present at the time of admission (Gravel et al., 2007). And a number of HAIs prevalence studies from several countries indicate that approximately 8 per cent of hospitalised patients will acquire an infection as a result of receiving healthcare (Wamedo et al., 2012). The complex settings of many healthcare facilities as a result of overcrowding, improper design and poor ventilation (buildings which did not include vents, proper situation of windows and doors, as well as low head-roof) in the sub-Saharan Africa region have an impact on the growth and survival of microorganism which are harmful to human health. Activity of people and equipment within the indoor environment/setting can be considered as the
  • 2. principal factor contributing to the buildup and spread of airborne microbial contamination in many healthcare facilities (Ekhaise et al., 2008). Individuals or clients with pre-existing health problems and have depressed immune system and are going through treatment are very susceptible to indoor air exposure. Hence, both indoor and outdoor air pollutions are some of the most severe challenges of our time. Several airborne diseases have been related to the indoor air quality. Indoor air quality is a significant issue in health care especially in the developing countries. Consequently, the presence of airborne microorganism that may cause nosocomial infections in Health care facilities should be regarded as a major concern when providing particular care to patients and hospitals (Ekhaise et al., 2008). So far in many countries in the Sub-Saharan African region including Malawi, there are no guidelines for microbiological quality of indoor air. Furthermore, there isn’t any SADC directive addressing this; therefore it is assumed to be based on particular countries. Therefore, the purpose of this study was to determine the extent of indoor air microbial contamination in maternity, surgical and medical wards of Daeyang Luke Hospital (DLH) as an important factor in nosocomial infection chain. The findings of this study are very helpful to evaluate the adequacy of environmental control procedure of ward environments at Daeyang Luke Hospital. MATERIAL AND METHOD This study was carried out between the months of March to July 2015 in the Daeyang Luke Hospital, Lilongwe Malawi. Daeyang Luke Hospital has a bed capacity of 200 and provides services for approximately 70,000 inpatient and outpatient attendances a year coming from a catchment population of about two million people. Maternity, Female Surgical, Male Surgical, Female Medical, Male Medical, Emergency and Pediatric wards were used for sample collection. Bacteria and fungi measurements were made by passive air sampling technique; the settle plate method using 9 cm diameter petri dishes (63.585 cm 2 areas) (Pasquarella et al., 2000). The sampling height which approximated human breathing zone of 1 metre above the floor and at the centre of the room was used. Bacteria and fungi were collected on 2% nutrient agar and 4% sabouroad agar respectively. To avoid self contamination of agar plate during air sampling, sterile gloves, mouth masks and protective gown were worn, and before it was used the agar plate was checked visually for any microbial growth. To obtain the appropriate surface density for counting and to determine the load with respect to time of exposure, the sampling times were set at 30, 60, 90 minutes. Moreover, samples were collected twice a day at 8:30 am and 4:00 pm by taking into consideration the variation of density of occupant and environmental factors. After exposure, the sample were taken to Daeyang University Laboratory and incubated at 37°C for 24 hours for bacteria and at 25°C for 3 days for fungi. The colony forming units (CFU) were enumerated and colony forming units per cubic meter (CFU/m 3 ) were determined, taking into account the following equation as described by Omeliansky (Borrego et al., 2010): N = 5a x 10 4 (bt) -1 Where: N: microbial CFU/m 3 of indoor air a: number of colonies per petri dish b: dish surface, cm 2 t: exposure time, minutes IBM SPSS Statistics version 20.0 software was applied to determine the likelihood of statistical difference between the concentrations of bacteria and fungi measured at different sampling places and the linearity was determined between the concentrations of bacteria and fungi measured. RESULTS A total of 84 samples were used to determine the indoor air microbial loads of seven wards of Daeyang Luke Hospital. The results were expressed as concentration, concentration range, arithmetic mean and standard deviations of bacteria and fungi aerosol present in the investigated wards as presented in Tables 1, 2 and 3. The microbial air quality standards of the investigated wards have been presented in Table 4. It can be observed from the results that the highest bacterial colony forming unit per m 3 (CFU/m 3 ) of 3495 was recorded at 4:00 pm in emergency ward at 90 minutes while the lowest bacterial CFU/m 3 of 366 was recorded at 8:30 am in pediatric ward at 30 minutes as in Table 1 and Figure 1. And the highest fungi CFU/m 3 of 3993 was recorded at 8:30 am in female surgical ward at 90 minutes while the lowest CFU/m 3 of 786 was recorded at 4:00 pm in maternity ward at 30 minutes as in Table 2 and Figure 1. The concentration of bacteria and fungi aerosol in the indoor environment of Daeyang Luke Hospital wards during the period of study, estimated with the use of settle plate method, ranged between 366 – 3993 CFU/m 3 as in Table 3. It can also be observed in Figure 1 that bacterial and fungal air contamination was generally lower in the morning than in the afternoon in all the investigated wards during the period of study. The results as indicated by the scatter plots in figure 2 of the bacteria concentration versus fungi concentration show
  • 3. Table 1: Number of bacterial colony counts (CFU) per m3 air at different sampling time of day at different time of exposure Sampling sites (Wards) Sampling time 8:30 am 4:00 pm Petri dish exposure time (Minutes) Petri dish exposure time (Minutes) 30 (Min) 60 (Min) 90 (Min) 30 (Min) 60 (Min) 90 (Min) Maternity 602 1271 1442 446 734 1118 Female Surgical 1022 1140 1389 904 1101 1319 Male Surgical 1494 1678 1992 865 878 908 Female Medical 655 983 1048 629 891 979 Male Medical 602 983 891 708 760 1057 Emergency 1599 1861 2813 1756 2045 3495 Pediatric 366 550 778 577 813 1346 Table 2: Number of fungi colony counts (CFU) per m3 air at different sampling time of day at different time of exposure Sampling sites (Wards) Sampling time 8:30 am 4:00 pm Petri dish exposure time (Minutes) Petri dish exposure time (Minutes) 30 (Min) 60 (Min) 90 (Min) 30 (Min) 60 (Min) 90 (Min) Maternity 1232 1455 2621 786 1324 1721 Female Surgical 1232 1284 3993 1546 2136 2665 Male Surgical 1599 1765 3512 1074 1599 1651 Female Medical 1101 1848 2506 944 1979 2621 Male Medical 1232 1468 2892 1573 2228 2298 Emergency 1048 2324 2612 1101 1586 2736 Pediatric 891 970 2298 945 1979 1590 Table 3: The range of microbe’s distribution at Daeyang Luke Hospital wards N Minimum Maximum Mean Std. Deviation Bacteria CFU/m 3 Fungi CFU/m 3 Valid n 42 42 42 366 786 3495 3993 1178.29 1808.69 668.84 737.10
  • 4. Table 4: An assessment of air quality in the selected wards of Daeyang Luke Hospital according to the sanitary standards for non-industrial premises Group of microb es Range of values (CFU/m 3 Pollution degree Sampling sites (Wards) and time Pediatric Emergen cy Maternal Female Surgical Male Surgical Female Medical Male Medical 8:3 0 am 4 p m 8:3 0 am 4 p m 8:3 0 am 4 p m 8:3 0 am 4 p m 8:3 0 am 4 p m 8:3 0 am 4 p m 8:3 0 am 4 pm Bacteri a <50 Very low 50-100 Low 100-500 Intermedia te 500- 2000 High √ √ √ √ √ √ √ √ √ √ √ √ √ >2000 Very high √ Fungi <25 Very low 25-100 Low 100-500 Intermedia te 500- 2000 High √ √ √ √ √ √ √ √ >2000 Very high √ √ √ √ √ √ Figure 1: Comparison between fungi and bacteria concentration at Daeyang Luke Hospital wards
  • 5. Figure 2: Correlation between fungi and bacteria concentration at Daeyang Luke Hospital wards positive linear association (r 2 =0.1847). And this proves that the indoor air environmental factors of the wards are favoring the growth and development of bacteria and fungi population. The statistical analysis of the results also showed that the concentration of bacteria that were measured in all wards were significantly different (p-value=0.01) whereas the concentration of fungi were not significantly different. This suggests that most of the microbes were not human borne (Soto et al., 2009). The scatter plots of bacteria versus fungi concentration that have been measured in all sampled wards show positive linear association with regression coefficient (R 2 = 0.1847, n=42) presented in figure 2. DISCUSSIONS In this research, the quantitative interpretation of the results describing the air quality in the wards of DLH was evaluated based on the sanitary standards for non- industrial premises formulated by the European Commission in 1993. According to this classification, most of the wards that were included in the study were slightly in unhygienic condition (Table 4). These might be possibly because of high density or frequency of patients and presence of visitors in and out of the wards during this period of study. Despite the fact that there is no uniform international standard on levels and acceptable maximum bioaerosol loads available in literature (Jyotshna and Helmut 2011). Different countries have different standards, however, according to the study conducted by a WHO expert group on assessment of health risks of biological agents in indoor environments it was recommended that total microbial load should not exceed 1000 CFU/m 3 . If higher than this, the environment is considered as contaminated (Nevalainen and Morawaska 2009). In this study, about 31% of the results from the wards were below the limit of 1000 CFU/m 3 showing that most of the wards during this period were unhygienic conditions. Environmental factors such as insufficient ventilation system might also contribute to the level of microbial load in the ward as indicated by Wamedo et al. 2012. According to earlier studies the microbiological quality of indoor air is formed by two main factors: microbiological composition of outdoor air and indoor air microbiological sources (Abdel Hameed and Farag 1999). Outdoor air is very much influenced by environment, season, the weather and even daytime. The results of this study shows that people occupying or visiting enclosed spaces play a dominating role in the creation of indoor air microbiological environments. The highest growths of microorganisms are observed in wards that are frequently visited by patients’ visitors and the emergency ward. However, the presence of good ventilation system inside buildings such as
  • 6. hospitals element the influence of indoor source in causing nosocomial infections. Additionally, it is necessary to adopt the guidelines for the design and construction of new health-care facilities and for renovation of existing facilities in order to control indoor air-quality. CONCLUSION In conclusion, the pediatric and medical wards were the least contaminated wards during the period of study while the rest of the investigated wards were highly contaminated with bacteria and fungi, hence they might be potential risk factors for spread of nosocomial infection at DLH. Thus, immediate intervention is needed to control those environmental factors which favor the growth and multiplication of microbes. It is also vital to control visitors in and out of the wards. Moreover, it is advisable that strict measures be put in place to check the increasing microbial load in the hospital environment. ACKNOWLEDGEMENT Grateful thanks goes to the management and staff of Daeyang University and Daeyang Luke Hospital for providing the facilities for the research work. REFERENCE Abdel Hameed AA, Farag SA (1999). An indoor bio-contaminants air quality. International Journal of Environmental Health Research, 1999, 9, 313 Borrego S, Guiamet P, G’omez de Saravia S (2010). The quality of air at archives and biodeterioration of photographs. Int Biodet and Biodeg, 2010; 64: 139-145. Ekhaise FO, Ighosewe OU, Arakpovi OD (2008). Hospital indoor air borne micro flora in private and government owned Hospital in Benin City, Nigeria. World J of Med Sci, 2008; 3: 19-23. Ekhaise FO, Isitor EE, Idehen O, Emogbene OA (2010). Airborne micro flora in the atmosphere of University of Benin Teaching Hospital (UBTH), Benin City, Nigeria. World J Agric Sci, 2010; 6: 166- 170.Omoigberale M.N.O., Amengialue, O.O., Iyamu, M.I. 2014. Microbiological assessment of hospital indoor air quality in Ekpoma Edo State, Nigeria. Global Res. J. Microbiol., 4: 1-5. European Communities Commission (ECC) (1993). Indoor air quality and its impact on man. Report No. 12, Biological Particles in Indoor Environments. Luxembourg; 1993. Gravel D, Taylor G, Ofner M, Johnston L, Loeb M, Roth VR, Stegenga J, Bryce E (2007). Canadian Nosocomial Infection Surveillance Program. Matlow A (2007), Journal of Hospital Infection, 66(3): 243-248. Jyotshna M, Helmut B (2011). Bioaerosols in indoor Environment – A Review with Special Reference to Residential and Occupational Locations. The Open Envir & Biol Mon J, 2011; 4: 83-96. Nevalainen A, Morawaska L (2009). Biological Agents in Indoor Environment. Assessment of Health Risks. Work conducted by a WHO Expert Group between 2000-2003. WHO, QUT: 2009. Pasquarella C, Pitzurra O, Saravia A (2000). The index of microbial air contamination (review). J. Hosp Infect, 2000; 46: 241-256. Soto T, Garcia Murcia RM, Franco A, Vicente-Soler J, Cansado J, Gacto M (2009). Indoor airborne microbial load in a Spanish university(University of Murcia, Spain). Anales de Biologia, 2009; 31: 109-115. Wamedo SA, Ede PN, Chuku A (2012). Interaction between building design and air borne microbial load. Asian J of Bio Sci, 2012; 5: 183- 191. Wamedo SA, Ede PN, Chuku A (2012). Interaction between building design and air borne microbial load. Asian J of Bio Sci, 2012; 5: 183- 191.