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<journal-id journal-id-type="nlm-ta">PLOS Glob Public Health</journal-id>
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<journal-id journal-id-type="pmc">plosgph</journal-id>
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<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, CA USA</publisher-loc>
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<article-id pub-id-type="doi">10.1371/journal.pgph.0006570</article-id>
<article-id pub-id-type="publisher-id">PGPH-D-26-01616</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Opinion</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Medicine and health sciences</subject><subj-group><subject>Public and occupational health</subject></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Earth sciences</subject><subj-group><subject>Seasons</subject></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Earth sciences</subject><subj-group><subject>Hydrology</subject><subj-group><subject>Flooding</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Earth sciences</subject><subj-group><subject>Atmospheric science</subject><subj-group><subject>Climatology</subject><subj-group><subject>El Niño-Southern Oscillation</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Earth sciences</subject><subj-group><subject>Marine and aquatic sciences</subject><subj-group><subject>Oceanography</subject><subj-group><subject>El Niño-Southern Oscillation</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Medicine and health sciences</subject><subj-group><subject>Public and occupational health</subject><subj-group><subject>Behavioral and social aspects of health</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Research and analysis methods</subject><subj-group><subject>Mathematical and statistical techniques</subject><subj-group><subject>Statistical methods</subject><subj-group><subject>Forecasting</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Physical sciences</subject><subj-group><subject>Mathematics</subject><subj-group><subject>Statistics</subject><subj-group><subject>Statistical methods</subject><subj-group><subject>Forecasting</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Medicine and health sciences</subject><subj-group><subject>Epidemiology</subject><subj-group><subject>Disease surveillance</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Medicine and health sciences</subject><subj-group><subject>Medical conditions</subject><subj-group><subject>Infectious diseases</subject><subj-group><subject>Vector-borne diseases</subject></subj-group></subj-group></subj-group></subj-group></article-categories>
<title-group>
<article-title>Seasonal forecasts as public health tools: Preparing Latin America for the 2026 El Niño</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes" xlink:type="simple">
<contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0001-6664-1079</contrib-id>
<name name-style="western">
<surname>Palmeiro-Silva</surname>
<given-names>Yasna</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="http://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-original-draft/">Writing – original draft</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="corresp" rid="cor001">*</xref>
<xref ref-type="aff" rid="aff001"/></contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Hess</surname>
<given-names>Jeremy J.</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-original-draft/">Writing – original draft</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff001"/></contrib>
<contrib contrib-type="author" xlink:type="simple">
<contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0003-4746-8236</contrib-id>
<name name-style="western">
<surname>Ebi</surname>
<given-names>Kristie L.</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/writing-original-draft/">Writing – original draft</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff001"/></contrib>
</contrib-group>
<aff id="aff001"><addr-line>Center for Health and the Global Environment, Department of Global Health, University of Washington, Seattle, Washington, United States of America</addr-line></aff>
<contrib-group>
<contrib contrib-type="editor" xlink:type="simple">
<name name-style="western">
<surname>Robinson</surname>
<given-names>Julia</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"/></contrib>
</contrib-group>
<aff id="edit1"><addr-line>PLOS: Public Library of Science, UNITED STATES OF AMERICA</addr-line></aff>
<author-notes>
<corresp id="cor001">* E-mail: <email xlink:type="simple">palmeiro@uw.edu</email></corresp>
<fn fn-type="conflict" id="coi001">
<p>The authors have declared that no competing interests exist.</p>
</fn>
</author-notes>
<pub-date pub-type="epub"><day>8</day><month>7</month><year>2026</year></pub-date>
<pub-date pub-type="collection"><year>2026</year></pub-date>
<volume>6</volume>
<issue>7</issue>
<elocation-id>e0006570</elocation-id>
<permissions>
<copyright-year>2026</copyright-year>
<copyright-holder>Palmeiro-Silva et al</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license>
</permissions>
<self-uri content-type="pdf" xlink:href="info:doi/10.1371/journal.pgph.0006570"/>
<funding-group>
<funding-statement>YPS discloses support for this work from Wellcome Trust, grant number 304972/Z/23/Z. The source of funding did not have any role in this manuscript.</funding-statement>
</funding-group>
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<body>
<sec id="sec001">
<title>Seasonal forecasts as public health tools: preparing Latin America for the 2026 El Niño</title>
<p>The tropical Pacific is signalling the development of a likely moderate (with possibilities of strong) El Niño event by mid-2026. As of June 2026, the C3S multi-system shows most Niño 3.4 sea-surface temperature forecasted relative anomalies (vs 1991–2020 period) falling between 2.3 °C and 3.9 °C by December 2026, with more than 50% of the models exceeding 3 °C amplitude [<xref ref-type="bibr" rid="pgph.0006570.ref001">1</xref>] (the 2015/16 anomaly reached 3 °C [<xref ref-type="bibr" rid="pgph.0006570.ref002">2</xref>]). NOAA’s Climate Prediction Center indicates El Niño is likely to emerge (82% chance) in May-July, lasting until the end of 2026 and beginning of 2027 [<xref ref-type="bibr" rid="pgph.0006570.ref003">3</xref>], whilst the IRI/Columbia plume forecasts sustain probabilities of 72–80% [<xref ref-type="bibr" rid="pgph.0006570.ref004">4</xref>]. Although these early forecasts are still associated with large uncertainties, there is a strong consensus of a warming signal and that El Niño conditions are likely to develop in May-July and maintained over 2026–27.</p>
<p>While there is uncertainty in the forecast, and this uncertainty may be amplified by the added challenge of climate change, action to protect health is warranted based on the substantial evidence of adverse health impacts associated with prior El Niño events in the region [<xref ref-type="bibr" rid="pgph.0006570.ref005">5</xref>,<xref ref-type="bibr" rid="pgph.0006570.ref006">6</xref>]. Forecasting challenges notwithstanding, under the Precautionary Principle, there is little downside to investments in enhanced preparedness, and the upside may be considerable.</p>
<p>Latin America and the Caribbean (LAC) is the second most disaster-prone region globally, with over 1,500 disasters affecting more than 190 million people since 2000 [<xref ref-type="bibr" rid="pgph.0006570.ref007">7</xref>]. The teleconnections of El Niño across the region are well characterised: hotter weather overall, heavy rainfall in northern Mexico, Peru, Ecuador, and parts of South America (Chile and Uruguay), and droughts in Central America, northern Brazil, and Colombia and Venezuela [<xref ref-type="bibr" rid="pgph.0006570.ref008">8</xref>]. These extremes cascade into ecosystems and human systems, increasing the risk of heatwaves, wildfires, flooding, landslides, reduced crop yields, and diverse health outcomes through multiple pathways.</p>
<p>The estimated life expectancy losses following the 1997–98 El Niño events across Pacific Rim countries were of 0.4 years [<xref ref-type="bibr" rid="pgph.0006570.ref009">9</xref>]. During the 2015–16 El Niño, flooding resulted in more than 150,000 people displaced and 100 people dead, in addition to worsened food insecurity and health alerts for mosquito-borne diseases [<xref ref-type="bibr" rid="pgph.0006570.ref010">10</xref>]. The 2023–24 El Niño contributed to prolonged droughts in Central America’s Dry Corridor and northern South America, while driving intense rainfall and flooding in Ecuador, Chile, and Peru, disrupting agricultural production and increasing food insecurity. Concurrently, the region recorded its worst dengue season on record, with reported cases increasing by 600% across the Andean and Southern Cone countries (Brazil and Paraguay heavily affected) [<xref ref-type="bibr" rid="pgph.0006570.ref011">11</xref>]. During 2023, coinciding with El Niño onset, LAC recorded an estimated 8,436 heatwave-related excess deaths [<xref ref-type="bibr" rid="pgph.0006570.ref012">12</xref>].</p>
<p>Unfortunately, these numbers are likely to be conservative given the scarcity of systematic data collection and analysis associated with El Niño-related health disasters in Latin America. Additionally, if the 2026 event reaches the intensities currently forecast, these health impacts are likely to be amplified considerably in a warmer planet, particularly affecting communities contending with social inequities, fragile health systems, urban informality, food insecurity, lingering effects of other social and health challenges, including the effects of global conflicts.</p>
<p>Taking advantage of the progress in seasonal forecasting, the months ahead represent a critical public health opportunity and window for anticipatory action to reduce El Niño-related preventable health impacts in Latin America via three main actions (<xref ref-type="fig" rid="pgph.0006570.g001">Fig 1</xref>):</p>
<fig id="pgph.0006570.g001" position="float"><object-id pub-id-type="doi">10.1371/journal.pgph.0006570.g001</object-id><label>Fig 1</label><caption><title>Actions and measures to reduce preventable health impacts amidst 2026 El Niño event.</title><p>ENSO: El Niño-Southern Oscillation; MEL: Monitoring, Evaluation, and Learning. Source: Author’s creation.</p></caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pgph.0006570.g001" xlink:type="simple"/></fig>
<list list-type="simple">
<list-item>
<p>i	<bold>Climate-informed health surveillance must be activated now, not when impacts arrive.</bold> In the short-term, the forecasting of El Niño offers a critical window for anticipatory action and early warning; therefore, public health systems across Latin America should integrate seasonal forecasts into epidemiological surveillance [<xref ref-type="bibr" rid="pgph.0006570.ref013">13</xref>], prioritising water- and vector-borne disease hotspots, flood-prone settlements, and drought-affected corridors. Over the longer term, governments should institutionalise these linkages through permanent platforms, interoperable data systems between ministries of health and meteorological services, and binding protocols that trigger pre-agreed public health responses when El Niño-Southern Oscillation (ENSO) thresholds are forecast.</p>
</list-item>
<list-item>
<p>ii	<bold>Resources at different levels of healthcare delivery (e.g., primary, secondary, tertiary) must be pre-positioned and primary health care strengthened in high-exposure communities.</bold> Historical evidence consistently demonstrates that the most significant health impacts of El Niño are observed in the year following onset [<xref ref-type="bibr" rid="pgph.0006570.ref014">14</xref>]. This means the window from mid-2026–2027 is a critical period for continuing action. Primary health care networks must be reinforced to manage anticipated surges in respiratory illness, diarrhoeal disease, vector-borne diseases, and heat-related morbidity, with targeted staffing, diagnostic capacity, and referral pathways. Beyond this event, Latin American governments should translate emergency surge capacity into durable investment in climate-resilient primary care, treating ENSO as a recurring stress test for health system preparedness rather than as isolated emergencies.</p>
</list-item>
<list-item>
<p>iii	<bold>Hazard-specific contingency plans, including risk communication, must be operationalised soon.</bold> In the coming months, national and subnational authorities should activate anticipatory response plans covering water- and vector-borne disease outbreaks (including intensified larval source management, vector surveillance, and timely deployment of diagnostic and clinical guidelines); food security responses; heatwave action plans for urban and rural settlements; and flood and landslide protocols linking shelter, water-and-sanitation, and disease surveillance sectors. In the longer term, these contingency plans should be embedded within national adaptation and disaster risk reduction strategies, with sustained financing, community co-design in Indigenous and informal-settlement contexts, and periodic evaluation after each ENSO cycle to ensure they evolve with a warming climate [<xref ref-type="bibr" rid="pgph.0006570.ref005">5</xref>].</p>
</list-item>
</list>
<p>In sum, advances in seasonal forecasting now afford Latin America a tangible lead time that should be harnessed for public health preparedness, particularly as a warming planet amplifies El Niño-related hazards. This event poses a challenge and test to public health systems and health care delivery in Latin America, a region increasingly attentive to climate change health impacts. Prompt action can transform the challenge into an opportunity for the region to demonstrate its readiness and commitment to population health.</p>
</sec>
</body>
<back>
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