source_paper
string | source_section
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|---|---|---|---|---|
PMC10010521
|
Introduction
|
Globally, Shigella species are a leading cause of diarrhoeal mortality, causing an estimated 200,000 deaths in 2016 [11].
|
10.1016/S1473-3099(18)30475-4
|
PMC6202441
|
PMC10010521
|
Introduction
|
In contrast, the highest rates of shigellosis in high-income countries typically occur through person-to-person contact in crowded communities and childcare centres, in travellers returning from overseas or in MSM [9,13].
|
10.1093/jpids/piab045
|
PMC8744073
|
PMC10010521
|
Introduction
|
Increasing transmission of Shigella among MSM, particularly antimicrobial resistant strains, have been reported in several high-income countries, including the United States, Canada, Germany and the United Kingdom [14–17].
|
10.3201/eid2302.161203
|
PMC5324786
|
PMC10010521
|
Introduction
|
The most commonly reported species in high-income countries is S. sonnei, with this species accounting for over 80% of shigellosis infections in the United States and Israel, and over 50% of infections in the United Kingdom [18–20].
|
10.3201/eid2806.220131
|
PMC9155871
|
PMC10010521
|
Introduction
|
The most commonly reported species in high-income countries is S. sonnei, with this species accounting for over 80% of shigellosis infections in the United States and Israel, and over 50% of infections in the United Kingdom [18–20].
|
10.1128/JCM.01692-19
|
PMC7098776
|
PMC10010521
|
Introduction
|
Currently, PCR assays for detecting Shigella target the invasion plasmid antigen H (ipaH) gene, which is also common to entero-invasive Escherichia coli (EIEC) [25].
|
10.1128/JCM.42.5.2031-2035.2004
|
PMC404673
|
PMC10010521
|
Discussion
|
While S. flexneri is traditionally linked to low and middle income countries and S. sonnei to high income countries, in recent years the expansion of S. sonnei has been documented in many economically transitional regions in Asia, Latin America and the Middle East [28].
|
10.1371/journal.pntd.0003708
|
PMC4466244
|
PMC10010521
|
Discussion
|
Globally, data on the epidemiology of S. boydii is limited, with this species being predominantly endemic in the Indian Subcontinent [29].
|
10.1093/nar/gki954
|
PMC1278947
|
PMC10010521
|
Discussion
|
S. dysenteriae serotype 1, which is the only Shigella species and serotype that expresses the Shiga toxin gene, has high epidemic potential and has been identified as a cause of several large scale outbreaks of dysentery, particularly in settings associated with civil unrest [30–34].
|
10.1128/AEM.69.12.7028-7031.2003
|
PMC310026
|
PMC10010521
|
Discussion
|
S. dysenteriae serotype 1, which is the only Shigella species and serotype that expresses the Shiga toxin gene, has high epidemic potential and has been identified as a cause of several large scale outbreaks of dysentery, particularly in settings associated with civil unrest [30–34].
|
10.3389/fcimb.2016.00045
|
PMC4835486
|
PMC10010521
|
Discussion
|
This strain is also notorious for developing drug resistance, with epidemic strains typically resistant to multiple antibiotics [35,36].
|
10.1128/IAI.05814-11
|
PMC3232646
|
PMC10010521
|
Discussion
|
The epidemiology of S. dysenteriae is distinct from the other species of Shigella, with epidemics tending to disappear and then reappear years later, with few sporadic cases reported in between outbreaks [37,38].
|
10.1186/1471-2164-15-355
|
PMC4038718
|
PMC10010521
|
Discussion
|
The epidemiology of S. dysenteriae is distinct from the other species of Shigella, with epidemics tending to disappear and then reappear years later, with few sporadic cases reported in between outbreaks [37,38].
|
10.3389/fcimb.2017.00064
|
PMC5364150
|
PMC10010521
|
Discussion
|
While large scale outbreaks of S. dysenteriae serotype 1 were prevalent in the second half of the twentieth century in Asia, Africa and Central America, there has been a drastic decline in the incidence of S. dysenteriae in the last few decades, which remains largely unexplained [7,34,39].
|
10.1007/s40475-014-0019-6
|
PMC4126259
|
PMC10010521
|
Discussion
|
While large scale outbreaks of S. dysenteriae serotype 1 were prevalent in the second half of the twentieth century in Asia, Africa and Central America, there has been a drastic decline in the incidence of S. dysenteriae in the last few decades, which remains largely unexplained [7,34,39].
|
10.3389/fcimb.2016.00045
|
PMC4835486
|
PMC10010521
|
Discussion
|
It is widely documented that people living in remote areas have poorer health outcomes, including higher rates of hospitalisation and death, and also have more limited access to, and use of, health care services [41,42].
|
10.1017/S1463423620000481
|
PMC7737170
|
PMC10010521
|
Discussion
|
Antimicrobial resistance has also been reported in endemic strains of Shigella affecting First Nations Australians [45].
|
10.1007/s10096-020-04029-w
|
PMC7473701
|
PMC10010521
|
Discussion
|
Overcrowding and lack of safe removal and treatment of sewage has shown to be positively associated with gastrointestinal infections in First Nations Australian households [47].
|
10.3390/ijerph15122827
|
PMC6313733
|
PMC10010521
|
Discussion
|
Consistent with global trends, the burden of shigellosis in Australia was highest in children aged less than five years [31,48].
|
10.1371/journal.pmed.0030353
|
PMC1564174
|
PMC10010521
|
Discussion
|
Additionally, the low infectious dose of Shigella results in person-to-person transmission, which often occurs between children in childcare settings through close contact [7,51].
|
10.1007/s40475-014-0019-6
|
PMC4126259
|
PMC10010521
|
Discussion
|
This is likely to reflect ongoing transmission among MSM in these states, with outbreaks occurring over several years in three of the most populous states (Victoria (VIC), New South Wales (NSW) and Queensland) [23,52–54].
|
10.1128/JCM.40.4.1538-1540.2002
|
PMC140385
|
PMC10010521
|
Discussion
|
Several studies have demonstrated the increased capability of CIDT in identifying the aetiology of diarrhoeal patients when compared to culture dependent methods, with estimates ranging from two to four times when using CIDT [58–60].
|
10.1016/S0140-6736(16)31529-X
|
PMC5471845
|
PMC10010521
|
Discussion
|
Several studies have demonstrated the increased capability of CIDT in identifying the aetiology of diarrhoeal patients when compared to culture dependent methods, with estimates ranging from two to four times when using CIDT [58–60].
|
10.3389/fmicb.2016.00386
|
PMC4811922
|
PMC10010521
|
Discussion
|
The process to obtain this information is faster as WGS does not require the application of multiple subtyping methodologies [62].
|
10.1128/AEM.00165-19
|
PMC6585509
|
PMC10010521
|
Discussion
|
Additionally, WGS can differentiate between Shigella and EIEC, which have many biochemical properties and virulence genes in common [62,63].
|
10.1128/AEM.00165-19
|
PMC6585509
|
PMC10010531
|
Introduction
|
syphilis, gonorrhoea, chlamydia, and trichomoniasis [5].
|
10.1371/journal.pone.0143304
|
PMC4672879
|
PMC10010531
|
Introduction
|
hepatitis B, herpes simplex virus (HSV or herpes), HIV, and human papillomavirus (HPV) [5].
|
10.1371/journal.pone.0143304
|
PMC4672879
|
PMC10010531
|
Introduction
|
Mother-to-child transmission of STIs has effects like stillbirth, neonatal death, low-birth weight and prematurity, sepsis, pneumonia, neonatal conjunctivitis, and congenital deformities [6].
|
10.2471/BLT.18.228486
|
PMC6653813
|
PMC10010531
|
Introduction
|
STIs remain a major public health challenge for people belonging to high-risk groups (for HIV) around the world [6].
|
10.2471/BLT.18.228486
|
PMC6653813
|
PMC10010531
|
Materials and methods
|
Inclusion of studies from Grey literature will be carried out after being checked through a quality assessment tool (Axis Tool) [14].
|
10.1136/bmjopen-2016-011458
|
PMC5168618
|
PMC10010531
|
Materials and methods
|
6.0) generated modified data extraction form [16].
|
10.1186/s12859-018-2334-8
|
PMC6196404
|
PMC10010531
|
Materials and methods
|
To evaluate publication bias Egger’s [18] and Begg and Mazumdar’s [19] assessments will be used along with the Funnel diagram.
|
10.1136/bmj.315.7109.629
|
PMC2127453
|
PMC10010533
|
Introduction
|
SARS-CoV-2 primarily spreads via aerosols and droplets, and the degree of aerosolization is related to multiple factors, including ventilation [1–4].
|
10.1016/S0140-6736(21)00869-2
|
PMC8049599
|
PMC10010533
|
Introduction
|
SARS-CoV-2 primarily spreads via aerosols and droplets, and the degree of aerosolization is related to multiple factors, including ventilation [1–4].
|
10.1002/ppul.25330
|
PMC8014227
|
PMC10010533
|
Introduction
|
Within the built environment, the floor is the most common location where the virus can be detected [5–9].
|
10.1186/s40168-021-01083-0
|
PMC8186369
|
PMC10010533
|
Introduction
|
The floor was the most common surface where the virus was detected, and this observation has been replicated in other studies [5, 6, 8].
|
10.1136/thoraxjnl-2021-218035
|
PMC8646974
|
PMC10010533
|
Introduction
|
conducted a study at four hospitals in Korea assessing both air and surface contamination, as well as the impact of surface cleaning on the ability to detect SARS-CoV-2 [10].
|
10.3346/jkms.2020.35.e332
|
PMC7505729
|
PMC10010533
|
Introduction
|
They collected 330 swabs, of which 27% were positive for SARS-CoV-2 [10].
|
10.3346/jkms.2020.35.e332
|
PMC7505729
|
PMC10010533
|
Introduction
|
did not conduct serial swabs surrounding the patient, it is unknown how the viral burden surrounding a patient changes over space and time [8, 10].
|
10.3346/jkms.2020.35.e332
|
PMC7505729
|
PMC10010533
|
Introduction
|
One single-centre study in the United States swabbed within the rooms of patients with COVID-19 to determine how severity of illness and distance from the patient’s bed affected the recovery of SARS-CoV-2 from floors and high touch surfaces [11].
|
10.1017/ice.2021.530
|
PMC8755533
|
PMC10010533
|
Introduction
|
The probability of detecting SARS-CoV-2 from the floor was approximately 80% and did not vary over distance, but was higher for patients with more severe disease (e.g., requiring positive pressure ventilation) [11].
|
10.1017/ice.2021.530
|
PMC8755533
|
PMC10010533
|
Methods
|
For this study, we considered a positive result to be a Cq less than 45, which is an accepted cut-off used for environmental surveillance of SARS-CoV-2 [12].
|
10.1016/j.scitotenv.2021.146749
|
PMC8007530
|
PMC10010533
|
Discussion
|
We did not evaluate whether swabbing immediately after cleaning resulted in an inability to detect SARS-COV-2; however, prior studies have done so [10, 14, 15].
|
10.3346/jkms.2020.35.e332
|
PMC7505729
|
PMC10010533
|
Discussion
|
We did not evaluate whether swabbing immediately after cleaning resulted in an inability to detect SARS-COV-2; however, prior studies have done so [10, 14, 15].
|
10.1017/ice.2020.1278
|
PMC7653228
|
PMC10010533
|
Discussion
|
We did not evaluate whether swabbing immediately after cleaning resulted in an inability to detect SARS-COV-2; however, prior studies have done so [10, 14, 15].
|
10.1371/journal.pone.0261365
|
PMC8782535
|
PMC10010533
|
Discussion
|
In the study by Kim et al., RNA was not detected in a room routinely cleaned by disinfectant wipes, demonstrating how cleaning removes SARS-CoV-2 from the surface; however, RNA was detected in a room sprayed with disinfectant, suggesting disinfectant sprays may not be effective in reducing exposure [10].
|
10.3346/jkms.2020.35.e332
|
PMC7505729
|
PMC10010533
|
Discussion
|
Thus, our ability to consistently detect the virus at increasing distances from the patient’s bed goes against the historically referenced “Six-Foot Rule” [16].
|
10.1073/pnas.2018995118
|
PMC8092463
|
PMC10010533
|
Discussion
|
However, a prior study observed higher rates of surface contamination with SARS-CoV-2 for patients who required high-flow oxygen or positive pressure ventilation compared to hospitalized patients with less severe illness (OR = 1.6, 95% credible interval [CrI] 1.03–1.25) [11].
|
10.1017/ice.2021.530
|
PMC8755533
|
PMC10010538
|
Introduction
|
Injuries continue to have significant weight on the global disease burden, and are among the main causes of morbidity and mortality in adolescents, young people and adults [2].
|
10.1016/S0140-6736(20)30925-9
|
PMC7567026
|
PMC10010538
|
Introduction
|
Economic analysis of the implementation of interventions to assess the results and costs of these interventions aimed at improving the health of the population are recommended [4, 8] and are used to demonstrate the disease burden in monetary terms [9–11].
|
10.1371/journal.pone.0234300
|
PMC7282655
|
PMC10010538
|
Materials and methods
|
To estimate the disease burden of premature mortality, measures of years of potential life lost (YPLL), years of potential productive life lost (YPPLL) and cost of productivity lost CPL were used [9, 10, 19, 20].
|
10.1371/journal.pone.0234300
|
PMC7282655
|
PMC10010538
|
Materials and methods
|
To estimate the disease burden of premature mortality, measures of years of potential life lost (YPLL), years of potential productive life lost (YPPLL) and cost of productivity lost CPL were used [9, 10, 19, 20].
|
10.1136/bmjopen-2014-005386
|
PMC4127933
|
PMC10010538
|
Materials and methods
|
These concepts estimate the average time a person would live if they did not die prematurely, taking into account the age limit (death/retirement) and the cause [9].
|
10.1371/journal.pone.0234300
|
PMC7282655
|
PMC10010538
|
Materials and methods
|
For this study it was assumed that the individual’s productivity did not change until retirement [9].
|
10.1371/journal.pone.0234300
|
PMC7282655
|
PMC10010538
|
Discussion
|
The findings of this study were similar to those reported in similar studies where the active population accounted for the largest proportion of fatal victims due to injury [26, 28].
|
10.2471/BLT.14.145771
|
PMC4431514
|
PMC10010538
|
Discussion
|
[33, 34] reported traffic accidents and suicides as the principal external causes of death and finally, Corassa et al.
|
10.1155/2020/7303897
|
PMC7193292
|
PMC10010538
|
Discussion
|
The prevalence of suicide has been associated with mental disorders and sociodemographic characteristics and aggression with socioeconomic inequalities, alcohol and drug-related harm, respectively [26, 33].
|
10.2471/BLT.14.145771
|
PMC4431514
|
PMC10010538
|
Discussion
|
In addition, traffic accidents were among the leading causes of death in Sub-Saharan Africa and while globally, traffic accidents, falls and interpersonal violence were identified as the leading causes of death due to injury [25, 36].
|
10.1136/injuryprev-2015-041616
|
PMC4752630
|
PMC10010538
|
Discussion
|
Comprehensive road safety laws and their proper enforcement could contribute to the reduction of mortality from road accidents [25, 36].
|
10.1136/injuryprev-2015-041616
|
PMC4752630
|
PMC10010538
|
Discussion
|
In Seychelles, drowning was the leading cause of death due to external causes [41].
|
10.1038/s41598-020-79228-8
|
PMC7746745
|
PMC10010538
|
Discussion
|
[41] suggested the promotion of swimming programs as a measure to reduce the risk of drowning in the population.
|
10.1038/s41598-020-79228-8
|
PMC7746745
|
PMC10010538
|
Discussion
|
The estimated YPLL corresponded to a total of 7,222 and, a mean of 34.2 YPLL per death, which was higher than the mean obtained in Tanzania [9] and in line with the findings from Brazil which showed that males were responsible for the highest proportion of calculated YPLL, while the age ranges from 20 to 39 were responsible for approximately 60% of YPLL [35].
|
10.1371/journal.pone.0234300
|
PMC7282655
|
PMC10010538
|
Discussion
|
Similar to the current study, males contributed to a higher proportion of YPLL due to injuries, and overall injuries affected the potentially productive population [10, 35, 43].
|
10.1136/bmjopen-2014-005386
|
PMC4127933
|
PMC10010538
|
Discussion
|
In other studies, CPL due to injury was significantly higher among men than among women [10, 48].
|
10.1136/bmjopen-2014-005386
|
PMC4127933
|
PMC10010538
|
Discussion
|
In other studies, CPL due to injury was significantly higher among men than among women [10, 48].
|
10.5334/aogh.1355
|
PMC6997525
|
PMC10010538
|
Discussion
|
[10] reported that the highest average loss per death was due to trauma, amounting to 72,571 USD/death while Davey et al.
|
10.1136/bmjopen-2014-005386
|
PMC4127933
|
PMC10010538
|
Discussion
|
[48] presented a mean value of approximately 2500 USD per death.
|
10.5334/aogh.1355
|
PMC6997525
|
PMC10010538
|
Discussion
|
Results of this study demonstrate the need to standardize the classification of injuries and this could improve current estimates of mortality from external causes and complement national and global disease burden estimates [7, 26].
|
10.2471/BLT.14.145771
|
PMC4431514
|
PMC10010538
|
Discussion
|
Standardization can be achieved through regular training of health professionals on current guidelines [41] and the digitization of health information systems.
|
10.1038/s41598-020-79228-8
|
PMC7746745
|
PMC10010538
|
Discussion
|
Available data on economic costs of diseases, shows that two main methods are used to evaluate the economic impact, namely the friction method and the human capital method, with the human capital method being the most used methodology in cost-of-disease analyses [49].
|
10.1007/s40258-018-0416-4
|
PMC6467569
|
PMC10011442
|
Methods
|
Data preprocessing after the defacing included linear resampling to 2 mm isotropic resolution with the intensity scaled into a range of [-1,1].
|
10.5195/jmla.2017.88
|
PMC5370619
|
PMC10013005
|
Materials and Methods
|
The hyperparameter tuning is in the form of a 100-iteration randomized search of a set of predefined hyperparameter distributions:{‘max_iter’: [2000],‘loss’: [‘least_squares’],‘random_state’: [42],‘early_stopping’: [True],‘learning_rate’: loguniform(0.005, 0.1),‘max_leaf_nodes’: randint(2, 10),‘min_samples_leaf’: randint(100,200)}
|
10.6061/clinics/2019/e477
|
PMC6445156
|
PMC10013005
|
Materials and Methods
|
‘random_state’: [42],
|
10.6061/clinics/2019/e477
|
PMC6445156
|
PMC10013882
|
Introduction
|
Studies in sub-Saharan Africa (SSA) suggest that only 67% of patients remain in ART programs after five years, with loss to follow-up (patients with unknown outcomes) accounting for 33% of all attrition [1].
|
10.1002/jia2.25084
|
PMC5897849
|
PMC10013882
|
Introduction
|
DSD models aim to improve long-term ART retention by removing barriers to care, making service delivery more patient-centered [2], generate greater patient satisfaction, reduce costs to patients (and to providers in some cases), and create efficient and convenient service delivery [3].
|
10.1097/QAI.0000000000002070
|
PMC6625870
|
PMC10013882
|
Introduction
|
DSD models differ from conventional HIV care in the location of service delivery, frequency of interactions with the healthcare system, cadre of provider involved, and/or types of services provided [4].
|
10.1111/tmi.12460
|
PMC4670701
|
PMC10013882
|
Introduction
|
The attractiveness of DSD models is generally considered to be conditional on maintaining at least equivalent clinical outcomes to conventional care, but there remains relatively little evidence on ART retention among patients enrolled in DSD models as part of large-scale routine care in SSA [5, 6].
|
10.1186/s12889-021-11053-8
|
PMC8194040
|
PMC10013882
|
Introduction
|
The attractiveness of DSD models is generally considered to be conditional on maintaining at least equivalent clinical outcomes to conventional care, but there remains relatively little evidence on ART retention among patients enrolled in DSD models as part of large-scale routine care in SSA [5, 6].
|
10.1002/jia2.25640
|
PMC7696000
|
PMC10013882
|
Introduction
|
Zambia, a high-HIV burden country with more than 1.5 million people living with HIV and more than 81% of those individuals on ART, has rapidly scaled up a variety of DSD models [7].
|
10.1002/jia2.25808
|
PMC8554218
|
PMC10013882
|
Methods
|
The SmartCare database covers approximately three-quarters of all ART patients in Zambia, with the remainder accessing care at clinics that do not utilize the system [11].
|
10.1136/bmjopen-2019-030428
|
PMC6731929
|
PMC10013882
|
Methods
|
Source: Table modified from [6]
|
10.1002/jia2.25640
|
PMC7696000
|
PMC10013882
|
Discussion
|
Our findings are generally consistent with those of other studies of DSD model outcomes in SSA [5].
|
10.1186/s12889-021-11053-8
|
PMC8194040
|
PMC10013882
|
Discussion
|
Previous studies found high retention of patients in adherence clubs and home-based care models in South Africa and Kenya, among other countries [13, 14].
|
10.1371/journal.pmed.1002874
|
PMC6650049
|
PMC10013882
|
Discussion
|
Previous studies found high retention of patients in adherence clubs and home-based care models in South Africa and Kenya, among other countries [13, 14].
|
10.1097/QAI.0000000000002634
|
PMC8126486
|
PMC10013882
|
Discussion
|
Studies in Zambia have showed that DSD models achieve comparable or better outcomes than conventional care [15, 16].
|
10.1097/QAD.0000000000002737
|
PMC7810408
|
PMC10013882
|
Discussion
|
Studies in Zambia have showed that DSD models achieve comparable or better outcomes than conventional care [15, 16].
|
10.1371/journal.pmed.1003116
|
PMC7329062
|
PMC10013882
|
Discussion
|
In ART programs in SSA, males have traditionally been at higher risk of attrition than females [17], but we found that rural males in most DSD models in Zambia were retained in care as well as or relatively better than females in the same models and settings.
|
10.1371/journal.pone.0246471
|
PMC7861356
|
PMC10013882
|
Discussion
|
Other studies have also suggested that while DSD models may not improve retention among currently eligible patients, who are already “stable” at the time of DSD model enrollment and thus likely to continue to demonstrate high retention, it can still offer other benefits to patients and providers by reducing costs and improving quality [18, 19].
|
10.12688/gatesopenres.13458.2
|
PMC8907143
|
PMC10013882
|
Discussion
|
Similarly, the same model may be assigned to different dispensing intervals for a slightly different population of patients [14].
|
10.1097/QAI.0000000000002634
|
PMC8126486
|
PMC10013922
|
Introduction
|
Streptococcus agalactiae, commonly known as Group B Streptococcus (GBS), is an important bacterial pathogen causing morbidity and mortality in pregnant women and their babies and is also increasingly recognised as a cause of disease in nonpregnant adults [1–3].
|
10.1016/S2214-109X(22)00093-6
|
PMC9090904
|
PMC10013922
|
Introduction
|
Streptococcus agalactiae, commonly known as Group B Streptococcus (GBS), is an important bacterial pathogen causing morbidity and mortality in pregnant women and their babies and is also increasingly recognised as a cause of disease in nonpregnant adults [1–3].
|
10.1093/cid/cix664
|
PMC5849940
|
PMC10013922
|
Introduction
|
In 2020, an estimated 20 million pregnant women globally were colonised with GBS resulting in 231,000 (114,000 to 455,000) cases of EOGBS and a further 162,000 (70,000 to 394,000) LOGBS cases [1].
|
10.1016/S2214-109X(22)00093-6
|
PMC9090904
|
PMC10013922
|
Introduction
|
Furthermore, survivors of iGBS are at risk of long-term neurological sequelae with an estimated 37,000 (14,000 to 96,000) surviving infants developing moderate or severe neurodevelopmental impairment (NDI) [1,4].
|
10.1016/S2214-109X(22)00093-6
|
PMC9090904
|
PMC10013922
|
Introduction
|
Furthermore, survivors of iGBS are at risk of long-term neurological sequelae with an estimated 37,000 (14,000 to 96,000) surviving infants developing moderate or severe neurodevelopmental impairment (NDI) [1,4].
|
10.1016/j.eclinm.2022.101358
|
PMC9142788
|
PMC10013922
|
Introduction
|
Many higher-income countries have reduced EOGBS incidence through IAP with eligible pregnant women identified either through risk factor–based screening or routine testing based on microbiological culture [5].
|
10.1093/cid/cix654
|
PMC5850619
|
PMC10013922
|
Introduction
|
In addition, the need for access to laboratory testing for microbiological screening–based strategies and the requirement to deliver antibiotics intravenously substantially limits the prospect of attaining high IAP coverage in many low-resource settings where the burden of iGBS is highest [5].
|
10.1093/cid/cix654
|
PMC5850619
|
PMC10013922
|
Introduction
|
There are also concerns that routine administration of antibiotics could contribute to antimicrobial resistance and might also have unintended impacts on the gut microbiota of newborns [6].
|
10.3389/fped.2018.00027
|
PMC5827363
|
PMC10013922
|
Introduction
|
In 2015, development of a maternal vaccine against GBS was identified as a priority by the WHO Product Development for Vaccines Advisory Committee (PDVAC) [9], and 3 GBS maternal vaccine candidates have progressed to Phase II clinical trials [10].
|
10.1016/j.vaccine.2017.09.087
|
PMC6892248
|
PMC10013922
|
Introduction
|
In 2015, development of a maternal vaccine against GBS was identified as a priority by the WHO Product Development for Vaccines Advisory Committee (PDVAC) [9], and 3 GBS maternal vaccine candidates have progressed to Phase II clinical trials [10].
|
10.2147/IDR.S203454
|
PMC7196769
|
PMC10013922
|
Introduction
|
There have been previous economic evaluations of maternal GBS vaccination in the United States [12–14], Europe [15–17], and sub-Saharan Africa [18–20].
|
10.1136/bmj.39325.681806.AD
|
PMC1995477
|
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