{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T18:03:25Z","timestamp":1775153005026,"version":"3.50.1"},"reference-count":25,"publisher":"Public Library of Science (PLoS)","issue":"4","license":[{"start":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T00:00:00Z","timestamp":1775088000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Early Career Grant awarded by the Royal Society of Tropical Medicine and Health"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:sec id=\"sec001\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Throughout COVID-19 pandemic, many countries expanded their diagnostic infrastructure, including Indonesia. West Java, one of the most COVID-19-affected provinces in Indonesia, received many PCR machines during the pandemic but the molecular diagnostic landscape left post-pandemic needs to be assessed to build an improved pandemic preparedness in the area and enhance control of other diseases.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec002\">\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>To evaluate the post-pandemic diagnostic capacity of district health laboratories (DHLs) in West Java, to determine factors associated with laboratories\u2019 performance capacities and to portray its DHLs\u2019 diagnostic profiles to explore the possibility of implementing an additional NAAT-based tuberculosis test in the province.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec003\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This was a cross-sectional laboratory survey, assessing 26 DHLs in West Java, Indonesia. Data were collected through direct visits, interviews based on questionnaire based on WHO Laboratory Assessment Tool, and focus group discussion. The questionnaire was then quantitatively scored and used to categorize capacity levels as strong (&gt;=85%), good (70\u201384%), weak (50\u201369%), or very weak (&lt;50%). Descriptive statistics were also used to highlight key gaps.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec004\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Out of 26 DHLs, only 34.6% had strong NAAT-based diagnostic capacity, 34.6% had good capacity, while 30.8% were categorized as weak or lower. 80.8% of the DHLs scored weak or very weak in \u2018Laboratory Testing Performance\u2019 module, and only 11.5% of DHLs conducted PCR machine calibration in the past year. Only 46.2% maintained a functional BSL-2 laboratory, and the median of PCR-trained staff was 2 (IQR 1\u20134), with 15.4% DHLs no longer retaining any biomolecular staff.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec005\">\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The sustainability of COVID-19 diagnostic investments post-pandemic is relatively poor across many districts in West Java. Commitment to sustain facilities and equipment, as well as to retain an adequate workforce, is warranted to strengthen pandemic preparedness in the area and to repurpose COVID-19 facilities for tuberculosis control purposes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1371\/journal.pone.0343628","type":"journal-article","created":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T17:30:36Z","timestamp":1775151036000},"page":"e0343628","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Assessment of post-pandemic NAAT-based diagnostic capacity among laboratories with COVID-19 testing resource investments in Indonesia"],"prefix":"10.1371","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6476-2034","authenticated-orcid":true,"given":"Bony Wiem","family":"Lestari","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Almira","family":"Alifia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Putu Wahyuni Wulandari","family":"Karnawati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nurlaila Syahri","family":"Ramadhani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Selvia","family":"Kusdwiyanti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nurholis","family":"Majid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryan Bayusantika","family":"Ristandi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rifky Waluyajati","family":"Rachman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philip C.","family":"Hill","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2026,4,2]]},"reference":[{"key":"pone.0343628.ref001","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1093\/infdis\/jiad095","article-title":"Pandemic preparedness and response: lessons from COVID-19","volume":"228","author":"AS Fauci","year":"2023","journal-title":"J Infect Dis"},{"key":"pone.0343628.ref002","doi-asserted-by":"crossref","first-page":"705031","DOI":"10.3389\/fpubh.2021.705031","article-title":"Laboratory Readiness and Response for SARS-Cov-2 in Indonesia","volume":"9","author":"DN Aisyah","year":"2021","journal-title":"Front Public Health"},{"key":"pone.0343628.ref003","year":"2023"},{"key":"pone.0343628.ref004","unstructured":"World Health Organization. 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