Public Health Emergency Operations Centers (PHEOCs) are the critical units to lead communications, information sharing, and resource mobilisation during national and international health emergencies, and are key components for maintaining global health security. This assessment sought to examine the coordination mechanisms between national and sub-national PHEOCs in Thailand, Cambodia, Lao People's Democratic Republic, and Malaysia (TCLM countries) during the COVID-19 pandemic. Information was collected on PHEOC structures, functions, and cross-border communications in three stages: a literature review of national PHEOC and emergency preparedness capacities; questionnaire responses from stakeholders to describe PHEOC activity at the national level; and meetings with emergency response staff in five border provinces of Thailand to assess communications between sub-national PHEOCs across country borders. The findings showed that each of the countries has demonstrated a commitment to strengthening their national PHEOCs and improving cross-border communication in the face of the COVID-19 pandemic. Strong existing relationships between TCLM countries assisted in activating a coordinated pandemic response, but gaps remain in efficient data sharing, workforce capacity, and the utilisation of consistent communication platforms among countries. Lessons learned from the pandemic can be used to further strengthen countries' preparedness for future health emergencies, in line with International Health Regulations (2005) and regional plans to build health security in the Southeast Asia region. This assessment provides TCLM countries with the opportunity to address weaknesses in national and international PHEOC capacities. It may be used alongside existing guidelines to prepare the region for a stronger response to future global and regional health emergencies.
Dengue is a mosquito-transmitted virus infection that causes epidemics of febrile illness and hemorrhagic fever across the tropics and subtropics worldwide. Annual epidemics are commonly observed, but there is substantial spatiotemporal heterogeneity in intensity. A better understanding of this heterogeneity in dengue transmission could lead to improved epidemic prediction and disease control. Time series decomposition methods enable the isolation and study of temporal epidemic dynamics with a specific periodicity (e.g., annual cycles related to climatic drivers and multiannual cycles caused by dynamics in population immunity). We collected and analyzed up to 18 y of monthly dengue surveillance reports on a total of 3.5 million reported dengue cases from 273 provinces in eight countries in Southeast Asia, covering ∼ 10(7) km(2). We detected strong patterns of synchronous dengue transmission across the entire region, most markedly during a period of high incidence in 1997-1998, which was followed by a period of extremely low incidence in 2001-2002. This synchrony in dengue incidence coincided with elevated temperatures throughout the region in 1997-1998 and the strongest El Niño episode of the century. Multiannual dengue cycles (2-5 y) were highly coherent with the Oceanic Niño Index, and synchrony of these cycles increased with temperature. We also detected localized traveling waves of multiannual dengue epidemic cycles in Thailand, Laos, and the Philippines that were dependent on temperature. This study reveals forcing mechanisms that drive synchronization of dengue epidemics on a continental scale across Southeast Asia.