Descriptive Analysis of Health Screening for COVID-19 at Points of Entry in Pakistan According to the Centers for Disease Control and Prevention Guidelines From February 2020 to March 2021
Bibliographic record
Abstract
Background Points of entry (POE) in Pakistan serve as key conduits for international travel, transport, and trade. The Central Health Establishment is the key stakeholder in the implementation of the International Health Regulations (2005) core capacities at POE and National Action Plan 2020 for COVID-19. A comprehensive screening plan (involving more than 4 million passengers to date) was carried out effectively despite a few limitations. Objective This study aimed to evaluate the system attributes of health screening measures for COVID-19 at POE according to the Centers for Disease Control and Prevention (CDC) guidelines with the aim of identifying the strengths and weaknesses of the system and formulating recommendations to improve the system. Methods A descriptive study on the CDC guidelines for health screening at POE was conducted at the Directorate of Central Health Establishments from February 2020 to March 2021. The CDC guidelines are based on 11 attributes to be implemented for COVID-19 health screening at POE; these include legal and regulatory bodies to detain the traveler as suspect, isolation and coordination at POE, funds for screening, quarantine facilities equipped with basic necessities and communication channels for the quarantined travelers, referral health care facilities for POE, protocols for primary and secondary screening, capacity building, supply of personal protective equipment and screening tools, isolation areas, and provision of basic facilities at POE. Data were collected using both qualitative and quantitative methods. Web-based questionnaires and in-depth interviews for personnel in charge and quarantine assistants at POE were completed. Analysis of the Central Health Establishment’s information system was performed to assess management of traveler surveillance. Results The 11 attributes for health screening according to the CDC guidelines were addressed and well implemented at POE by the Central Health Establishment under the flagship of the Ministry of National Health Services, Regulation, and Coordination. Primary health screening of 4,088,119 inbound travelers was conducted. Secondary health screening led to the referral of 415 suspected cases of COVID-19 to hospitals. A total of 74,833 polymerase chain reaction tests for COVID-19 were performed at airports for inbound travelers, with a positivity rate of 0.6%. A total of 19,130 international flights were screened during the study period. Conclusions Preparedness and response for COVID-19 at POE are in line with the National Action Plan of the Government of Pakistan and International Health Regulations (2005).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".