Thursday, July 30, 2026

Critical Reflection on the (Re-)Emergence of Rift Valley Fever

Introduction

Before knowing the driving forces for the emergence and re-emergence of Rift Valley fever (RVF) in Africa, we should know about the disease, transmission cycle, and epidemiology. RVF is a mosquito-borne zoonosis caused by a Phlebovirus of the Bunyaviridae family. The virus affects both livestock and humans, with severe implications for public health, food security, and trade. Most importantly, the virus is carried by more than 53 species of mosquitoes in 8 genera within the family Culicidae in regions of epizootics (Linthicum et al., 2016). Since its first description in Kenya in 1931, RVF has exhibited episodic outbreaks across Africa and occasional expansion into the Arabian Peninsula, highlighting its persistent and dynamic epidemiological profile (Nanyingi et al., 2015; Himeidan et al., 2014). Its transmission involves complex interactions between vectors, hosts, and environmental conditions, making it a quintessential One Health challenge. Based on the literature provided in the study materials, the important driving forces were critically examined and assessed its potential for spread beyond Africa. In addition, it also evaluates current control strategies and identifies key unresolved challenges.

 

The drivers of RVF emergence and re-emergence in Africa are ranked based on the criteria, including 1. Magnitude of impact on outbreak initiation and scale, 2. Strength and consistency of empirical evidence across outbreaks, 3. Geographic and temporal generalizability, and 4. Potential for intervention (modifiability)

1. Climatic and environmental variability (primary driver)

The top-ranked driver for the emergence of RVF from the different literature identifies abnormal rainfall and flooding as the most critical driver of RVF outbreaks. These conditions promote hatching of dormant Aedes mosquito eggs and amplification of vector populations (Linthicum et al., 2016). The massive increased of infected mosquitoes leads to high epizootic potential. In addition, a couple of studies on satellite-based vegetation indices and rainfall anomalies have consistently predicted outbreaks in East Africa (Anyamba et al., 2002). Nanyingi et al. (2015) demonstrate that nearly all major RVF outbreaks correlate with El NiƱo–Southern Oscillation (ENSO) events. Floodwater Aedes species act as primary vectors, initiating transmission cycles, while Culex species amplify epidemics.

The climatic and environmental variability was considered a primary driver because it was the strongest predictive evidence. It is also directly related to outbreak initiation (Bird and McElroy, 2016).

 

2. Livestock dynamics and husbandry practices

Another important driver of the emergence of RVF is livestock dynamics. It plays a central role as an amplification host. The high density of infected mosquitoes amplifies virus activity among the livestock within 6-8 weeks. High-density herds, animal movement, and trade networks facilitate rapid viral spread (Balenghien et al., 2013). Consequently, the intensification of livestock production and transboundary trade increase exposure risks to humans. A review of studies from African countries emphasizes socioeconomic practices such as communal grazing, seasonal migration, and informal markets, which enhance virus dissemination (Muga et al., 2015). Additionally, susceptible livestock populations lacking immunity can trigger explosive outbreaks.

Livestock dynamics is considered another important risk factor since it is essential for epidemic amplification and strongly linked to outbreak severity; however, it can be overcome with strict policy and vaccination of livestock.

 

3. Weak surveillance and health systems

Besides climatic factors and livestock dynamics, the health surveillance system has a direct role in the emergence of RFV. The poor health system is responsible for delayed detection and response that significantly exacerbate RVF outbreaks. Bird and McElroy (2016) highlight gaps in diagnostic capacity, underreporting, and fragmented veterinary-public health coordination as important causes of outbreaks. In addition, limited early warning systems and inadequate integration of animal and human health surveillance delay interventions, allowing outbreaks to expand uncontrolled.

The surveillance health system is critical for outbreak control rather than initiation. The system can be modified and improved; however, it is inconsistently implemented in African countries.

 

Interconnection between the drivers

These drivers operate synergistically rather than independently. The climatic factor amplifies vector proliferation, which ultimately leads to livestock infections. Consequently, the increase in livestock infections spills over to the human population, causing outbreaks. Likewise, weak surveillance delays detection of climate-driven outbreaks. Lastly, livestock movement spreads infection beyond environmentally suitable zones. For example, heavy rainfall may initiate an outbreak, but livestock trade determines its geographic spread, while poor surveillance allows it to escalate.

 

Alternative ranking and counterargument

An alternative perspective places socioeconomic and cultural factors as the primary driver (Muga et al., 2015). Human behavior—such as slaughter practices and consumption of raw animal products—directly influences transmission. Sociocultural factors shape transmission intensity but are less predictive of outbreak initiation.

 

2. Conditions for RVF spread beyond Africa

The conditions for RVF to spread and become established on other continents require three distinct stages, including introduction of virus, local transmission, and establishment.

2.1. Introduction of virus

The introduction of the virus to the human population may be via infected livestock trade (legal or informal) and the movement of infected humans or vectors. The livestock trade is a main cause of the 2000 outbreak in Saudi Arabia and Yemen (Himeidan et al., 2014). The lack of proper regulation and surveillance during trade with endemic regions and weak border security intensifies the introduction of the virus from one region to another or one country to another. International trade plays a crucial role in establishing national animal health policies because it requires countries to maintain and demonstrate high standards of animal health in order to safely import and export animals and animal products.

 

2.2. Local Transmission

Local transmission is directly associated with a competent mosquito population and suitable climatic conditions as mentioned above. The massive increase in infected mosquito spread virus to livestock, and ultimately spills over to humans. Several mosquito genera are capable of RVF transmission (e.g., Aedes, Culex) and are globally distributed (Elliott & Brennan, 2014). Thus, competent mosquito vectors, suitable climatic conditions, and the presence of susceptible hosts are responsible for local transmission of the disease.

 

2.3. Sustained circulation (establishment)

Long-term establishment of the infection requires persistent infected mosquito populations, vertical transmission of virus in mosquitoes and continuous availability of susceptible hosts. Bird and McElroy (2016) note that maintenance mechanisms outside Africa remain uncertain, particularly regarding overwintering of the virus.

 

Are the same drivers relevant outside Africa?

The same drivers may not be entirely relevant outside Africa. Although the climatic factor remains on the top for emergence of RVF, the temperate regions (low temperature range) in many countries may limit vector survival. Likewise, livestock systems differ, often with stronger regulation and biosecurity in other countries playing a role in preventing the spread of the disease. Lastly, stronger surveillance systems are generally reducing outbreak scale, although other factors favor the outbreak. Thus, while climate remains a key driver, trade and biosecurity may become more critical determinants outside Africa.

 

3. Appraisal of current RVF control strategies

3.1 Diagnostics

The diagnostic approaches of RFV not only detect the disease in the early phase but also help to prevent further spread by breaking the transmission chain. Recent advances such as molecular tools (RT-PCR) enable early and rapid detection within a few hours during the incubation phase, while serological assays with a focus on antibody detection identify past exposure and seroprevalence among the livestock and human population. However, the RT-PCR tool is limited in endemic regions, and serology can’t differentiate between active vs past infection (Bird & McElroy, 2016). Although culture is the gold standard method for diagnosis of viral infection, including RVF, only a few reference laboratories have this facility.

 

3.2 Surveillance

Integration of satellite data for early warning (Linthicum et al., 2016) and increasing adoption of One Health surveillance systems are key strengths of the surveillance system. However, underreporting and delayed response may hinder control strategies.

 

3.3 Vaccination

Currently, recommended vaccines (live-attenuated and inactivated vaccines) exist for livestock and humans to control RVF. The new-generation vaccines are under development (Kortekaas, 2014). However, there are a few challenges to using those vaccines. The safety concerns (e.g., teratogenic effects) of new vaccines, their limited availability, and logistical barriers for massive vaccinations are key hurdles in preventive measures of RVF.

3.4 Integrated vector control strategy

Integrated vector control remains key in controlling the spread of infections. Integrated vector control includes the use of insecticides, environmental management to prevent vector breeding, farm sanitation to avoid mosquito bites to livestock, etc. The limitation of vector control is difficulty in sustaining and limited effectiveness during large-scale outbreaks (Balenghien et al., 2013).

 

3.5 Outbreak preparedness and response

The outbreak preparedness and response team recognizes the importance of One Health approaches to timely control of potential outbreaks and immediate management. It also improves forecasting tools. Sometimes, poor coordination between sectors and insufficient funding and infrastructure may be a barrier to the role of the team in control measures.

 

4. Conclusion: Unresolved challenges and priorities

Despite advances, several critical challenges remain in controlling RVF. These are;

i. Predictive uncertainty: Although climate-based models are useful, they cannot fully predict outbreak timing or scale.

ii. Vaccine gaps: Safe, affordable, and widely deployable vaccines remain limited. Many vaccines are under development for livestock and humans. These vaccines are in the clinical trial phases. Development costs and licensing costs are still challenges for veterinary vaccines and human vaccines. Only a combined effort from veterinary vaccines to develop and approve human vaccines can reduce costs and licensing procedures.

iii. Poor surveillance system: Persistent gaps in early detection hinder rapid response. In addition, political influences and lack of a single platform to coordinate between stakeholders remain major obstacles in data sharing and policymaking.

iv. Socioeconomic barriers: Although socioeconomic barriers don’t have a direct role in outbreaks and massive transmission, the cultural practices and economic constraints limit intervention uptake. If such conditions are revealed in an endemic region, it may cause further spread of infections and make control measures difficult.

 

Priority actions

Based on the above information, the following urgent priorities are identified:

  1. We should strengthen integrated One Health surveillance systems that collect data from humans, livestock, and the environment (climate data) for prediction of potential outbreaks.
  2. Secondly, more research should focus on the development of safe and effective livestock vaccination.
  3. Thirdly, the local authorities should focus on an integrated vector control strategy.
  4. Lastly, based on integrated data, we should improve quick data sharing and predictive modeling through interdisciplinary data.  

These actions address both biological and systemic drivers, offering the greatest potential impact.


References

Anyamba A, Linthicum KJ, Mahoney R, Tucker CJ, Kelley PW. 2002. Mapping potential risk of Rift

Valley fever outbreaks in African savannas using vegetation index time series data. Photogramm. Eng. Remote Sens. 68:137–45

Balenghien, T. et al. (2013) ‘Towards a better understanding of Rift Valley fever epidemiology in the south-west of the Indian Ocean’, Veterinary Research, 44(1), pp. 78.

Bird, B.H. and McElroy, A.K. (2016) ‘Rift Valley fever virus: Unanswered questions’, Antiviral Research, 132, pp. 274–280.

Elliott, R.M. and Brennan, B. (2014) ‘Emerging phleboviruses’, Current Opinion in Virology, 5, pp. 50–57.

Himeidan, Y.E. et al. (2014) ‘Recent outbreaks of Rift Valley fever in East Africa and the Middle East’, Frontiers in Public Health, 2, pp. 169.

Kortekaas, J. (2014) ‘One Health approach to Rift Valley fever vaccine development’, Antiviral Research, 106, pp. 24–32.

Linthicum, K.J., Britch, S.C. and Anyamba, A. (2016) ‘Rift Valley Fever: An Emerging Mosquito-Borne Disease’, Annual Review of Entomology, 61, pp. 395–415.

Muga, G.O. et al. (2015) ‘Sociocultural and economic dimensions of Rift Valley fever’, American Journal of Tropical Medicine and Hygiene, 92(4), pp. 730–738.

Nanyingi, M.O. et al. (2015) ‘A systematic review of Rift Valley Fever epidemiology 1931–2014’, 

Saturday, May 23, 2026

Detection of carbapenem resistance and its attributable genes in Acinetobacter baumannii isolated from cardiac patients at a referral cardiac hospital of Kathmandu



Abstract

Objective: Acinetobacter baumannii has emerged as a major nosocomial pathogen due to its remarkable ability to develop resistance to multiple antibiotics including carbapenems. The objective of this study was to assess the carbapenem resistance and detect carbapenem-resistant genes in clinical isolates of A. baumannii.

Methods: A cross-sectional study was conducted in Shahid Gangalal National Heart Centre, Kathmandu during February to September 2024. A total of 42 A. baumannii were isolated from different clinical specimens and identified. Antibiotic susceptibility test was performed by Kirby-Bauer disc diffusion method and carbapenemase production was assessed using modified carbapenem inactivation method and EDTA-carbapenem inactivation method. Carbapenem-resistant genes were detected through polymerase chain reaction. Among 1607 samples tested, 349 were culture positive for bacteria.

Results: The prevalence of A. baumannii was 12% (42/349). Among the 42 A. baumannii isolates, 88.1% were resistant to carbapenems. Metallo-β-lactamase production was observed in 35.7% and multidrug resistance in 83.3% isolates. Resistance rates were highest against cefotaxime, cefepime and carbapenems. The blaOXA-23 gene was detected in 69.1% of the isolates, blaNDM-1 in 66.7%, and blaVIM in 14.3%, but none of the isolates harbored the blaIMP. Co-occurrence of blaOXA-23 and blaNDM-1 genes was detected in 20 (47.6%) isolates, blaOXA-23, blaNDM-1 and blaVIM in 4 (9.5%) isolates, and blaNDM-1 and blaVIM in 1 (2.4%) isolate.

Conclusion: This study showed a high burden of carbapenems resistant and multi-drug resistant A. baumannii, likely contributed by the co-occurrence of carbapenem resistant genes. These findings provide valuable insights for clinical management and infection control of A. baumannii.

Keywords: Carbapenem resistance, MDR, Gene co-existence, Acinetobacter baumannii


Citation: B K P, Khadka S, Shrestha UT, Banjara MR. Detection of carbapenem resistance and its attributable genes in Acinetobacter baumannii isolated from cardiac patients at a referral cardiac hospital of Kathmandu. BMC Microbiol. 2026 Jan 9;26(1):128. doi: 10.1186/s12866-025-04692-z. PMID: 41507808; PMCID: PMC12911273.

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Thursday, April 2, 2026

Antibiofilm Activity of Bacteriophage Isolated from Sewage-Polluted Water against Escherichia coli

 


Antibiofilm Activity of Bacteriophage Isolated from Sewage-Polluted Water against Escherichia coli

Acharya Amrit1, 2, Ayushma Tamrakar1†, Smirti Yando1†, Avinash Chaudhary1, Upendra Thapa Shrestha1,2, Dev Raj Joshi2, Binod Lekhak2

 

1 Department of Microbiology, Sainik Awasiya Mahavidhyalaya, Bhaktpur, Nepal

2 Central Department of Microbiology, Tribhuvan University, Kathmandu, Nepal

†The first three authors contributed equally.

*Corresponding author: Amrit Acharya, Central Department of Microbiology, Tribhuvan University, Kathmandu, Nepal, E-mail: amrit.805710@iost.tu.edu.np

ABSTRACT

 

Objectives: This study aimed to explore bacteriophages, viruses that infect bacteria, as an alternative antibiofilm agent.

Methods: A laboratory-based, cross-sectional study was conducted at the Sainik Awasiya Mahavidyalaya Laboratory from February to July 2025. The water samples that were contaminated with effluents were collected from eight rivers and ponds across the Kathmandu valley. E. coli isolates were used as the host strain after being confirmed by biochemical tests. Phages were isolated and enriched from wastewater using centrifugation, filtration, and multiple cycles of incubation with log-phage host bacteria to gain high titres. The plaque assay, host range by spot assay, and Efficacy of Plating (EOP) were performed. Antibiofilm activity was evaluated using the microtiter plate crystal violet assay. The study compared biofilm formation in the isolated E. coli (E.C 8) with that of the standard E. coli (ATCC 8739). Statistical significance was determined using the t-test (p ≤ 0.05).

Results: Bacteriophages were found in six of eight samples. Only Mulpani had a lytic phage with a titre of 7.5 PFU/ml, which was used for further testing. The phage exhibited moderate EOP, ranging from 0.28 to 0.60, and a moderate host range. The isolated phage showed selected antibiofilm activity, as it effectively reduced the biofilm of the isolated E. coli (22.8%).

Conclusion: This emphasizes the ability of lytic phages as antibiofilm agents.

 

Keywords: Effluent, Antibiotic Resistance, Biofilm, Extracellular Polymeric Substances, Bacteriophage

 

Date of Submission: November 03, 2025     Date of Acceptance: December 05, 2025

Published Online: December, 2025               DOI: https://doi.org/10.3126/tujm.v12i1.88373


Citation: Acharya, A., Tamrakar, A., Yando, S., Chaudhary, A., Thapa Shrestha, U., Joshi, D. R., & Lekhak, B. (2025). Antibiofilm Activity of Bacteriophage Isolated from Sewage-Polluted Water against Escherichia coli. Tribhuvan University Journal of Microbiology12(1), 89–99. https://doi.org/10.3126/tujm.v12i1.88373

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Sunday, March 29, 2026

Quinolones residue in poultry meat and eggs; an alarming public health issue in Nepal (BMC Research Notes)

  


Quinolones residue in poultry meat and eggs; an alarming public health issue in Nepal

Nabaraj Shrestha1, Sundar Layalu2, Serene Amatya3, Samrat Shrestha3, Shobha Basnet4, Divya Pradhan5 and Upendra Thapa Shrestha5 *

1Department of Livestock Services, Hariharbhawan, Lalitpur, Nepal

2Clark University, Worcester, USA

3Himalayan College of Agricultural Sciences and Technology (HICAST), Kalanki, Kathmandu, Nepal

4ZEST Laboratory, Bhaktapur, Balkot, Nepal

5Central Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal

 

*Correspondence: Upendra Thapa Shrestha; upendrats@gmail.com; upendra.thapashrestha@cdmi.tu.edu.np

 

 Abstract

Objective Quinolones, critically important antimicrobials, pose public health risks due to potential antimicrobial resistance, allergic reactions, and other toxicities when residues persist in food. This study aimed to qualitatively and quantitatively assess quinolone residues in chicken meat and eggs supplied to Kathmandu, Nepal. Additionally, data on antibiotic usage trends were collected through a standardized questionnaire using Epicollect + Android application. A total of 120 chicken meat and 120 eggs were collected from five designated sectors. Initial screening for quinolone residues was performed using Enzyme-Linked Immunosorbent Assay, and samples exceeding the maximum residue limit (MRL) were further analyzed using High-Performance Liquid Chromatography.

Results Quinolone residues were detected in 88.3% of chicken meat and 80% of egg samples. Three chicken meat samples from Kathmandu exceeded the MRL (> 100ppb), with Enrofloxacin found in commercial and education sectors and both Enrofloxacin and Ciprofloxacin in the health sector. In eggs, residue prevalence was 83.9% in Kathmandu followed by Bhaktapur (76.9%) and Lalitpur (65%). Household eggs had the most residues (100%), and the education sector had the least (66.7%) (p = 0.0219). These findings indicate widespread and unregulated quinolone use in poultry production, highlighting the urgent need for prudent antibiotic stewardship to reduce antimicrobial resistance and associated health risks.

 

Keywords Antimicrobial residue, Enrofloxacin, Ciprofloxacin, Quinolones, Maximum residue limit


Citation: Shrestha N, Layalu S, Amatya S, Shrestha S, Basnet S, Pradhan D, Shrestha UT. Quinolones residue in poultry meat and eggs; an alarming public health issue in Nepal. BMC Res Notes. 2026 Jan 6;19(1):49. doi: 10.1186/s13104-025-07627-z. PMID: 41495852; PMCID: PMC12870818.

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Thursday, February 12, 2026

Molecular Detection of CTX-M Type ESBL Genes in Clinical Isolates of Klebsiella Species

 Molecular Detection of CTX-M Type ESBL Genes in Clinical Isolates of Klebsiella Species

Neesha Shrestha1, Kuntala Shrestha1, Upendra Thapa Shrestha2, Komal Raj Rijal2, Gayatri Karki3, Ishworiya Lamichhane1, Kiran Sapkota4, Sanjib Adhikari2 ,Shyam Prakash Dumre2, Nabaraj Adhikari2*

1Kantipur College of Medical Science, Tribhuvan University, Sitapaila, Kathmandu, Nepal

2Central Department of Microbiology, Tribhuvan University

3Himal Hospital Pvt. Ltd., Thirbum Marg, Kathmandu

4Sam Houston State University, Huntsville, Texas, USA

*Corresponding author: Nabaraj Adhikari, Assistant Professor, Central Department of Microbiology, TU, Email: nabaraj.adhikari@cdmi.tu.edu.np

 

ABSTRACT

Objective: The objective of this study is to determine the prevalence of Extended-Spectrum β-Lactamase (ESBL) production and CTX-M genes among Klebsiella species isolated from clinical specimens.

Methods: A total of 1,815 clinical samples—including urine, blood, sputum, pus, and body fluids were collected at Himal Hospital Kathmandu, during 2019–2020. Standard microbiological techniques were used for isolation and identification of bacterial pathogens. Antimicrobial susceptibility testing was performed using the modified Kirby–Bauer disk diffusion method following CLSI (2019) guidelines. ESBL screening was conducted using third-generation cephalosporins, and confirmation was done via the Double Disk Synergy Test (DDST). Molecular detection of the CTX-M gene was performed using PCR with specific primers targeting a 544 bp amplicon.

Results: Among 1,815 clinical samples, urine constituted the majority (65.8%), followed by blood (25.1%). Escherichia coli was the predominant isolate (89.1%), while Klebsiella pneumoniae (6.2%) and Klebsiella oxytoca (0.74%) comprised a smaller proportion. Of the 28 Klebsiella spp. isolates, the highest antibiotic sensitivity was observed toward Amikacin (60.7%) and Meropenem (57.1%), whereas complete resistance to Amoxicillin (100%) and high resistance to Cefixime (89.3%) and Cefotaxime (75.0%) were recorded. ESBL screening identified 22 (78.6%) potential ESBL producers, of which 18 (64.3%) were confirmed phenotypically. PCR analysis revealed the CTX-M gene in 7 of the 18 ESBL-positive isolates, demonstrating a notable presence of CTX-M–mediated resistance among Klebsiella spp.

Conclusion: The findings highlight a concerning prevalence of ESBL production and CTX-M genes in Klebsiella species in the study population, underscoring the need for continuous surveillance, rational antibiotic use, and strengthened antimicrobial stewardship programs to limit the spread of multidrug-resistant strains.

Keywords: Klebsiella spp., ESBL producer and CTX-M

 

Date of Submission: November 12, 2025     Date of Acceptance: December 22, 2025

Published Online: December, 2025               DOI: https://doi.org/10.3126/tujm.v12i1.88388



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Tuesday, January 13, 2026

Investigation of the blaNDM-1 and armA Genes in Carbapenem-Resistant Klebsiella pneumoniae Isolated from the Clinical Samples in Kathmandu, Nepal

Rohit Ghimire,¹ Subash Kumar Thakur,² Upendra Thapa Shrestha,¹* Komal Raj Rijal,¹ Prakash Ghimire,¹ and Megha Raj Banjara¹*

¹Central Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal

²Paropakar Maternity and Women’s Hospital, Thapathali, Kathmandu, Nepal


Abstract

Klebsiella pneumoniae carbapenemase (KPC) and metallo-β-lactamase production are major causes of carbapenem resistance, whereas aminoglycoside resistance is caused by extrinsically acquired 16S-rRNA methyltransferase. K. pneumoniae coharboring resistance genes are serious health care issues that can cause multidrug resistance (MDR). This study aimed to describe the resistance genes (New Delhi metallo-beta-lactamase 1 [blaNDM-1] and armA) in the plasmids of K. pneumoniae from patients visiting the Paropakar Maternity and Women’s Hospital, Kathmandu, Nepal. Altogether, 8,017 clinical specimens were processed following standard microbiological procedures to identify K. pneumoniae. Antibiotic susceptibility testing and detection of phenotypic carbapenemase production in K. pneumoniae isolates were performed using the modified Kirby-Bauer disc diffusion method. The resistance genes were detected by conventional polymerase chain reaction. Of 8,017 clinical specimens, 6.8% (n = 545) had bacterial growth, and 70 were K. pneumoniae. Colistin (100%, n = 70) and imipenem (80%, n = 56) were the most effective antibiotics. Thirty percent (n = 21) of the isolates were MDR, whereas 66.7% (n = 14) were carbapenemase producers, among which 38.1% (n = 8) had a minimum inhibitory concentration of 64 mg/mL to imipenem. Among carbapenemase producers, 23.8% (n = 5) were KPC and 66.7% (n 5 14) were metallo-β-lactamase producers. Out of 21 MDR K. pneumoniae, 19.5% (n = 4) harbored the blaNDM-1 and armA genes, and 14.3% (n = 2) had both genes. Detection of the coexistence of the resistance genes from K. pneumoniae reveals that there might be increased antibiotic resistance, leading to multidrug resistance and an increased resistance to imipenem. In conclusion, advancing antimicrobial-resistance surveillance in maternity wards and minimizing the use of last-line antibiotics are crucial for safeguarding maternal and neonatal health.


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Bacteria in Photos

Bacteria in Photos