Epidemiology and RAPD-PCR typing of thermophilic campylobacters from children under five years and chickens in Morogoro Municipality, Tanzania

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Study Justification:
– Campylobacter species are pathogens that cause zoonotic infections among human and animal populations.
– Understanding the prevalence, risk factors, and genetic diversity of thermophilic Campylobacter isolates is important for public health and disease control.
– This study aimed to determine the prevalence, risk factors, and genetic relatedness of thermophilic Campylobacter isolates from children under 5 years and chickens in Morogoro Municipality, Tanzania.
Highlights:
– Prevalence of thermophilic Campylobacters in children was 19%, with higher isolation frequency in males than females.
– Campylobacter jejuni was more isolated than C. coli in both children and chickens.
– Indigenous/local chickens had the highest prevalence of Campylobacter infection.
– Genetic analysis revealed high diversity among Campylobacter isolates from children and chickens, suggesting cross transmission of these pathogens.
Recommendations:
– Implement measures to reduce the prevalence of thermophilic Campylobacter in children and chickens.
– Promote hygiene practices, such as proper handwashing and safe food handling, to prevent Campylobacter infections.
– Enhance surveillance and monitoring of Campylobacter infections in both human and animal populations.
– Conduct further research to investigate the specific risk factors and transmission routes of Campylobacter in the study area.
Key Role Players:
– Public health officials and policymakers
– Medical laboratory technicians
– Healthcare providers
– Veterinarians and animal health professionals
– Researchers and scientists
Cost Items for Planning Recommendations:
– Training and capacity building for healthcare providers and laboratory technicians
– Surveillance and monitoring systems for Campylobacter infections
– Public health education and awareness campaigns
– Research funding for further studies on Campylobacter transmission and risk factors
– Implementation of hygiene and sanitation interventions in communities and farms

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is relatively strong, but there are some areas for improvement. The study design is clearly described as a cross-sectional study, and the methods used for isolation and identification of Campylobacter are provided. The prevalence of thermophilic Campylobacter in children and chickens is reported, along with the genetic diversity of the isolates. However, the abstract could be improved by providing more information on the sample sizes and the statistical analysis used to determine prevalence and risk factors. Additionally, the abstract does not mention any limitations of the study or potential implications of the findings. To improve the evidence, the authors could include more details on the sample sizes and statistical analysis, as well as discuss the limitations and implications of the study.

Background: Campylobacter species are gram negative and flagellated bacteria under the genus Campylobacter, family Campylobacteriaceae. These pathogens cause zoonotic infections among human and animal populations. This study was undertaken between December 2006 and May 2007 to determine prevalence, risk factors and genetic diversity of thermophilic Campylobacter isolates from children less than 5 years and chickens in Morogoro Municipality, Tanzania. Methods: The Skirrow’s protocol was used for isolation and identification of Campylobacter from 268 human stool specimens and 419 chicken cloacal swabs. Patient biodata and risk factors associated with human infection were also collected. Genetic diversity of Campylobacter isolates was determined by a RAPD-PCR technique using OPA 11 primer (5′-CAA TCG CCG T-3′). Phylogenetic analysis and band pattern comparison were done by Bionumerics software and visual inspection. Results: Stool samples from 268 children and 419 cloacal swabs from chickens were analyzed. Prevalence of thermophilic Campylobacters in children was 19% with higher isolation frequency (p = 0.046) in males (23.5%) than females (13.8%). Campylobacter jejuni (78.4%) was more isolated (p = 0.000) than C. coli (19.6%) and 2% were unidentified isolates. In chickens, the prevalence was 42.5% with higher isolation rate (p = 0.000) of C. jejuni (87%) than C. coli (13%). Campylobacters were more frequently recovered (p = 0.000) from indigenous/ local chickens (75.0%) followed by cockerels (52.2%), broilers (50.0%) and lowest in layers (22.7%). Keeping chickens without other domestic animals concurrently (p = 0.000), chicken types (p = 0.000) and flock size (p = 0.007) were risk factors for infection in chickens. One hundred and fifty two (152) thermophillic Campylobacter isolates were genotyped by RAPD-PCR of which 114 were C. jejuni (74 from chickens and 40 humans) and 38 C. coli (28 from chickens and 10 humans). Comparison of Campylobacter isolates from children and chickens revealed high diversity with only 6.1% of C. jejuni and 5.3% of C. coli being 100% genetically similar. Conclusions: This study has recorded high prevalence of thermophilic Campylobacter in children less than 5 years and chickens in Morogoro municipality. The observed genetic similarity among few C. jejuni and C. coli isolates from children and chicken suggests existence of cross transmission of these pathogens between children under 5 years and chickens.

This cross-sectional study was conducted in Morogoro Municipality, Tanzania (37°4’E; 4°49’S and altitude of 487–600 m above sea level) between December 2006 and May 2007. Aim of the current study was to determine the prevalence, risk factors for infection and genetic relatedness among thermophilic Campylobacter isolates from children below 5 years of age and chickens. Sample sizes were calculated using the formula n = Z 2 p (1-p)/ d 2 [23] where: n is sample size; Z is the multiplier from the normal distribution, p is the expected prevalence and d is the desired absolute precision. The expected prevalence of campylobacter infection (p) used for sample size estimation was p = 20% for humans [24] and p = 70% for chickens [25]. Other values (Z, d, and CI) were kept constant. With Z value of 1.96 at 95% confidence interval (CI) and desired precision (d) of 0.05, the calculated minimum sample sizes (n) were 250 and 330 for humans and chickens, respectively. Children under 5 years of age attending Outpatient Department (OPD) at Morogoro Regional and Mazimbu Hospitals, Mafiga, Madizini, Usangi and Upendo health facilities were enrolled in this study. Children that were admitted, hospitalized and those under antibiotic therapy were excluded to avoid confounding effects on the bacterial isolation. Human stool samples were collected in clean sterile 10 ml-plastic containers by parents/guardians and submitted to the medical laboratory technicians. The samples were aseptically transferred into sterile 10 ml-universal bottles containing 5 ml of Campylobacter enrichment broth and stored at 4 °C before and during shipment to the laboratory. Biodata and the possible risk factors associated with human infection (age, sex, keeping chickens, keeping other animals and boiling or treating drinking water) were recorded. History of the study children experiencing a gastrointestinal disorder characterized by passing out loose and watery stool at least three times a day in the past 2 weeks and consistency of the stool samples were the criteria used to categorize the patients as diarrhoeic or non-diarrhoeic. Chicken cloacal swab samples were collected from 22 chicken flocks/farms located in various areas within Morogoro Municipality. After collection, the swabs were put into universal bottles containing 5 ml of Campylobacter Enrichment Broth (Oxoid Ltd, Basingstoke, Hampshire, England). These samples were placed on ice blocks in a cool box at approximate temperature of 4 °C and transported to the laboratory within 2 h. Study chicken populations included indigenous/local chickens, broilers, layers and cockerels. Categories of chickens sampled are in line with types preferably kept by majority of farmers/livestock keepers in Morogoro municipality, Tanzania. These were: indigenous/local chickens are of mixed sexes and free ranging while broilers are chickens of mixed sexes kept for meat production. On the other hand, layers are all females kept for egg production and cockerels are all males kept for dual purposes namely meat and reproduction. The chickens were samples from 22 different flocks/farms located in various areas within Morogoro municipality. Among the indigenous/local chickens were those at the Morogoro Central Market ready for sale. For convenience, the flocks were classified as small when number of chickens of the chickens was categorized as 1 to 199, medium (200–299) and large (300 and above up to 7000). Age groups of the chickens were assigned as 0–4, 5–9, 10–14, 15–19 and 20 weeks and above (20+). It is worthwhile to note that age of 49 chickens could not be ascertained due to lack of proper record keeping and these were excluded in age related analysis. In addition, chickens less than 3 weeks of age and those under treatment with antibiotics were excluded to avoid confounding effects of the maternal immunity and negative growth of Campylobacter on the media, respectively. For convenience, flocks with 199 chickens and less were classified as small, those with 200–299 chickens as medium and flocks/farms with 300 and/ more as large. Information on chicken types, flock size, age and keeping of other animals was obtained by field observations and confirmed in interviews with the owners. Campylobacter species are relatively slow-growing, fastidious bacteria that require specialized culture conditions; hence, they grow best under reduced oxygen tension on nutritional basal media supplemented with 5–10% blood. In the laboratory, human stool samples and chicken cloacal swabs were aseptically inoculated in 10 ml-universal bottles containing 5 ml of Campylobacter Enrichment Broth (Lab M, International Diagnostics Group, plc, Lancashire, UK). The bottles were incubated at 37 °C for 24 h in an incubator (Heraeus B5050, Germany). Thereafter, one loopful of the enriched human or chicken samples was plated onto modified cefoperazone charcoal deoxychocolate agar (mCCDA) (Oxoid Ltd, Basingstoke, Hampshire, England) supplemented with CCDA selective supplement (Oxoid Ltd, Basingstoke, Hampshire, England). The plates were put in an anaerobic jar (Coldstream Engeneering Ltd, 18–10, Arista, Sweden) with microaerophilic environments generated by a lighted candle and then in the incubator (Memmert, Germany) at 43 °C for 48 h. Bacterial colonies suspected to be thermophilic campylobacter species based on growth at 43 °C and colony morphology were subjected to further examination by microscopy using Gram’s staining, motility and biochemical tests using Skirrow’s protocol as previously described [3]. Confirmed thermophilic Campylobacter isolates were sub-cultured on mCCDA (Oxoid Ltd, Basingstoke, Hampshire, England) and three loopfuls of 48-h old colonies were harvested and transferred into cryogenic vials (Nalgene®, Nalge Nunc Int. Corp, USA) containing 1 ml of brain heart infusion broth (Oxoid Ltd, Basingstoke, Hampshire, England) with 20–30% glycerol (v/v). The vials were incubated at 37 °C for 24 h, initially stored at -20 °C for 24 h and then transferred to -80 °C until when further analysis by RAPD-PCR genotyping was performed. A total of 152 Campylobacter isolates were genotyped by RAPD-PCR using OPA 11 primer (5′-CAA TCG CCG T-3′) as described by Miwa et al. [7] and their genetic relatedness compared. Of these, 74 C. jejuni and 28 C. coli were isolated from chickens and 50 (40 C. jejuni and 10 C. coli) from humans. The DNA templates were prepared as described by Miwa et al. [7]. The RAPD reaction mixture consisted of 50 mM KCl, 10 mM Tris-HCl (pH 8.4 at 25 °C), 2.5 mM MgCl2, 0.1% Triton X-100, a 200 μM concentration of each deoxynucleoside triphosphate, 0.3 μM of the primer, 2.5U of Taq DNA polymerase (Invitrogen), 2.5 μl of the template DNA, and sterile nuclease-free water to a final volume of 25 μl. The 25 μl of reaction mixture was cycled in a Mastercycler (Eppendorf®, Germany) through the following temperature profile: an initial denaturation step at 94 °C for 1 min; 45 cycles of 94 °C for 1 min, 36 °C for 1 min, and 72 °C for 2 min; and a final elongation step at 72 °C for 5 min. The PCR products were held at 4 °C until when electrophoresis was performed. Five microliter of amplified DNA fragments were electrophoresed alongside 3 μl of 1-kb ladder (Promega, Madison, USA) through 1% (w/v) agarose gels (Molecular grade – low EEO, Whitehead Scientific (Pty) Ltd) in 1X TBE buffer (0.45 M Tris, 0.44 M Boric acid and 0.01 M EDTA) (SIGMA®, Sigma Chemical Co., St Louis, USA). The agarose gels were electrophoresed at 60 V for 90 min, stained with ethidium bromide (Promega, Madison, USA) 0.005% (v/v) and photographed using a computerized image capturing machine, Kodak 4000®. Data were stored in a Microsoft Office Access database and analyzed using Epi-Info software [26]. Comparison of dichotomous variables was done using Chi-square (χ 2) test at a critical probability of 0.05 and 95% confidence interval. Gel images were imported to BioNumerics version 4.61 computer software (Applied Maths) for analysis and dendrogram production. Pairwise comparisons were accomplished using the Dice similarity coefficient, and the dendrograms were created using the unweighted pair group method using a geometric average (UPGMA). For the whole dataset, the most appropriate optimization and position tolerance settings, as determined by the software, were 0 and 1%, respectively. As the gel images could not be normalized, visual inspection was done to determine similarity of the RAPD profiles and their proportions expressed as percentage of the total number of C. jejuni and C. coli isolates analyzed.

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Based on the provided information, it is difficult to determine specific innovations for improving access to maternal health. The provided text describes a study on the prevalence, risk factors, and genetic diversity of thermophilic Campylobacter isolates from children under 5 years and chickens in Morogoro Municipality, Tanzania. It does not directly relate to innovations for improving access to maternal health.

To provide recommendations for improving access to maternal health, it would be helpful to have more information on the specific challenges or issues faced in accessing maternal health services in the given context.
AI Innovations Description
The description provided is a research study on the prevalence, risk factors, and genetic diversity of thermophilic Campylobacter isolates from children under five years and chickens in Morogoro Municipality, Tanzania. While this study provides valuable information on the prevalence and genetic relatedness of Campylobacter, it does not directly address the topic of improving access to maternal health.

To develop an innovation to improve access to maternal health, it is important to focus on interventions and strategies that specifically target the barriers and challenges faced by pregnant women and new mothers in accessing quality healthcare services. Some recommendations to consider for developing an innovation in this area include:

1. Mobile health (mHealth) solutions: Develop mobile applications or SMS-based platforms that provide pregnant women and new mothers with information, reminders, and access to healthcare services. These platforms can provide prenatal care guidance, appointment reminders, educational resources, and emergency contact information.

2. Telemedicine services: Implement telemedicine services that allow pregnant women and new mothers to consult with healthcare providers remotely. This can help overcome geographical barriers and provide access to specialized care, especially in rural or underserved areas.

3. Community-based healthcare programs: Establish community-based healthcare programs that bring essential maternal health services closer to the communities. This can include setting up mobile clinics, community health centers, or outreach programs that provide prenatal care, postnatal care, family planning services, and health education.

4. Strengthening healthcare infrastructure: Invest in improving healthcare infrastructure, including the availability of well-equipped maternity clinics, skilled healthcare providers, and essential medical supplies. This can help ensure that pregnant women have access to safe and quality care during pregnancy, childbirth, and postpartum.

5. Financial support and incentives: Implement financial support programs or incentives that reduce the financial burden of accessing maternal health services. This can include providing subsidies for transportation, reducing or eliminating out-of-pocket expenses for maternal healthcare, and offering incentives for healthcare providers to offer quality care.

6. Health education and awareness campaigns: Conduct health education and awareness campaigns to empower pregnant women and new mothers with knowledge about maternal health, including the importance of antenatal care, skilled birth attendance, postnatal care, and family planning. These campaigns can be conducted through various channels, including community meetings, radio, television, and social media.

It is important to tailor any innovation or intervention to the specific context and needs of the target population. Conducting a needs assessment and involving key stakeholders, including pregnant women, healthcare providers, and community leaders, can help identify the most appropriate and effective strategies to improve access to maternal health.
AI Innovations Methodology
Based on the provided information, it seems that you are looking for innovations to improve access to maternal health. However, the description you provided is about a study on the prevalence, risk factors, and genetic diversity of thermophilic Campylobacter isolates from children under five years and chickens in Morogoro Municipality, Tanzania. It does not directly relate to maternal health.

To provide recommendations for improving access to maternal health, it would be helpful to have more specific information about the challenges or issues faced in accessing maternal health services in the target area. Without this information, it is difficult to provide tailored recommendations.

In general, some potential innovations to improve access to maternal health could include:

1. Mobile health (mHealth) solutions: Utilizing mobile phones and other digital technologies to provide information, reminders, and support to pregnant women and new mothers. This can include text messages, apps, and telemedicine services.

2. Community-based interventions: Implementing programs that bring maternal health services closer to the community, such as mobile clinics, community health workers, and community-based health education programs.

3. Transportation solutions: Addressing transportation barriers by providing affordable and accessible transportation options for pregnant women to reach healthcare facilities.

4. Financial incentives: Implementing financial incentives or subsidies to reduce the financial burden of accessing maternal health services, such as cash transfers or health insurance schemes.

5. Quality improvement initiatives: Focusing on improving the quality of maternal health services, including training healthcare providers, improving infrastructure, and ensuring the availability of essential supplies and medications.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the indicators: Identify the key indicators that will be used to measure the impact of the recommendations, such as the number of pregnant women accessing antenatal care, the number of facility-based deliveries, or the maternal mortality rate.

2. Collect baseline data: Gather data on the current status of maternal health access in the target area, including the number of pregnant women accessing care, the distance to healthcare facilities, and any existing barriers or challenges.

3. Develop a simulation model: Create a simulation model that incorporates the recommended innovations and their potential impact on the identified indicators. This model should take into account factors such as population size, geographical distribution, and existing healthcare infrastructure.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to estimate the potential impact of the recommended innovations on the selected indicators. This can be done by adjusting the parameters related to the innovations, such as the coverage of mHealth interventions or the availability of transportation options.

5. Analyze results: Analyze the results of the simulations to assess the potential impact of the recommended innovations on improving access to maternal health. This can include comparing the simulated outcomes with the baseline data and identifying any significant changes or improvements.

6. Refine and validate the model: Refine the simulation model based on the analysis of the results and validate it using additional data or expert input. This will help ensure the accuracy and reliability of the simulation results.

7. Communicate findings and make recommendations: Present the findings of the simulation study, including the estimated impact of the recommended innovations on improving access to maternal health. Based on these findings, make recommendations for implementing the most effective and feasible innovations in the target area.

It is important to note that the methodology for simulating the impact of recommendations on improving access to maternal health may vary depending on the specific context and available data. The steps outlined above provide a general framework that can be adapted and customized to suit the needs of the particular study or project.

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