Objective: Using semiquantitative risk scoring, this study estimated the probability of ASF transmission in 23 selected provinces. Methods: The factors influencing ASF spread were identified; 10 through a literature review and the positivity for ASF virus (ASFv) of meat samples from an ongoing surveillance study.Secondary data from each sampled province were collected, and the provinces were scored across these factors and classified into one of three risk categories. Results: Six out of 23 provinces were categorized as high-risk due to the high number of ASFv-positive meat samples, backyard pigs, and ASF occurrences. Conversely, four provinces were classified as low-risk due to consistently low scores across all indicators. The difference in the meat contamination level between low- and high-risk provinces emphasizes the importance of including this factor in the ASF spread assessment. Conclusions and Relevance: Risk estimation of ASF transmission must consider meat sample contamination. Active surveillance at local borders can monitor contamination and prevent ASFv sources from entering areas. This approach allows the government to allocate resources and prioritize higher-risk areas.

Objective: Using semiquantitative risk scoring, this study estimated the probability of ASF transmission in 23 selected provinces. Methods: The factors influencing ASF spread were identified; 10 through a literature review and the positivity for ASF virus (ASFv) of meat samples from an ongoing surveillance study.Secondary data from each sampled province were collected, and the provinces were scored across these factors and classified into one of three risk categories. Results: Six out of 23 provinces were categorized as high-risk due to the high number of ASFv-positive meat samples, backyard pigs, and ASF occurrences. Conversely, four provinces were classified as low-risk due to consistently low scores across all indicators. The difference in the meat contamination level between low- and high-risk provinces emphasizes the importance of including this factor in the ASF spread assessment. Conclusions and Relevance: Risk estimation of ASF transmission must consider meat sample contamination. Active surveillance at local borders can monitor contamination and prevent ASFv sources from entering areas. This approach allows the government to allocate resources and prioritize higher-risk areas.

Objective: Using semiquantitative risk scoring, this study estimated the probability of ASF transmission in 23 selected provinces. Methods: The factors influencing ASF spread were identified; 10 through a literature review and the positivity for ASF virus (ASFv) of meat samples from an ongoing surveillance study.Secondary data from each sampled province were collected, and the provinces were scored across these factors and classified into one of three risk categories. Results: Six out of 23 provinces were categorized as high-risk due to the high number of ASFv-positive meat samples, backyard pigs, and ASF occurrences. Conversely, four provinces were classified as low-risk due to consistently low scores across all indicators. The difference in the meat contamination level between low- and high-risk provinces emphasizes the importance of including this factor in the ASF spread assessment. Conclusions and Relevance: Risk estimation of ASF transmission must consider meat sample contamination. Active surveillance at local borders can monitor contamination and prevent ASFv sources from entering areas. This approach allows the government to allocate resources and prioritize higher-risk areas.

Objective: Using semiquantitative risk scoring, this study estimated the probability of ASF transmission in 23 selected provinces. Methods: The factors influencing ASF spread were identified; 10 through a literature review and the positivity for ASF virus (ASFv) of meat samples from an ongoing surveillance study.Secondary data from each sampled province were collected, and the provinces were scored across these factors and classified into one of three risk categories. Results: Six out of 23 provinces were categorized as high-risk due to the high number of ASFv-positive meat samples, backyard pigs, and ASF occurrences. Conversely, four provinces were classified as low-risk due to consistently low scores across all indicators. The difference in the meat contamination level between low- and high-risk provinces emphasizes the importance of including this factor in the ASF spread assessment. Conclusions and Relevance: Risk estimation of ASF transmission must consider meat sample contamination. Active surveillance at local borders can monitor contamination and prevent ASFv sources from entering areas. This approach allows the government to allocate resources and prioritize higher-risk areas.

OBJECTIVES: The Cancer and Hematology Division of the PCMC receives an average of 24 cases of pediatric intrathoracic masses annually. Comprehensive data on the demographic status, clinical profile, management, and outcome are still not available. This study aims to determine the clinical features, diagnosis, management and outcome of children and adolescents with intrathoracic masses from 2017 to 2019. MATERIALS AND METHODS: Descriptive study design was utilized. Data were collected by doing a chart review. Possible associations between the clinical features and outcome were described. RESULTS: Sixty-eight (68) cases were referred from January 2017 to December 2019. Mean age at diagnosis is 8.8 years with a 2.4:1 male to female ratio. Severe wasting was seen in 21%. All subjects were symptomatic at presentation, 50% with respiratory compromise. Anterior mediastinal lesions are observed at 82% of cases. Elevated LDH was seen in 50% of the patients. Malignant hematologic lesions are the most common etiology. Steroid pretreatment was given in 40% of patients. Only a small percentage (<20%) underwent definitive treatment. Patients were symptomatic for 18 days on average before consult. It took an average of 18 days for a case to be diagnosed definitively, and 10 days from the diagnosis to start of directed treatment. Mortality rate was high at 57.4% CONCLUSION Patients with intrathoracic mass and malnutrition are 1.4x more likely to die. Diagnosis is the most significant factor associated with death. Observed data can be used as basis to formulate protocols which can streamline the diagnostic and therapeutic approach in these patients.
leukemia ; lymphoma